In [1]:
%load_ext autoreload
%autoreload #Use this to reload modules if they are changed on disk while the notebook is running
from __future__ import division
from snmachine import sndata, snfeatures, snclassifier, tsne_plot
import numpy as np
import matplotlib.pyplot as plt
import time, os, pywt,subprocess
from sklearn.decomposition import PCA
from astropy.table import Table,join,vstack
from astropy.io import fits
import sklearn.metrics
from functools import partial
from multiprocessing import Pool
import sncosmo
%matplotlib nbagg
from astropy.table import Column
# WARNING...
#Multinest uses a hardcoded character limit for the output file names. I believe it's a limit of 100 characters
#so avoid making this file path to lengthy if using nested sampling or multinest output file names will be truncated
#Change outdir to somewhere on your computer if you like
dataset='spcc'
outdir=os.path.join('output_%s_no_z' %dataset,'')
out_features=os.path.join(outdir,'features') #Where we save the extracted features to
out_class=os.path.join(outdir,'classifications') #Where we save the classification probabilities and ROC curves
out_int=os.path.join(outdir,'int') #Any intermediate files (such as multinest chains or GP fits)
subprocess.call(['mkdir',outdir])
subprocess.call(['mkdir',out_features])
subprocess.call(['mkdir',out_class])
subprocess.call(['mkdir',out_int])
read_from_file=False #True #We can use this flag to quickly rerun from saved features
run_name=os.path.join(out_features,'%s_all' %dataset)
rt=os.path.join('SPCC_SUBSET','')
Neural networks not available in this version of scikit-learn. Neural networks are available from development version 0.18.
In [ ]:
In [2]:
def make_new_data(filename, table, output, sntype):
with open(filename) as f:
data = f.read().split("\n")
filters = data[5].split()
survey = data[0].split()
stuffRA = data[6].split()
stuffDec = data[7].split()
MWEBV = data[11].split()
if sntype==1:
typestring='SN Type = Ia , MODEL = mlcs2k2.SNchallenge'
elif sntype==2:
typestring='SN Type = II , MODEL = SDSS-017564'
elif sntype==3:
typestring='SN Type = Ic , MODEL = SDSS-014475'
else:
typestring='SOMETHING WENT HORRIBLY WRONG'
table.meta = {survey[0][:-1]: survey[1], stuffRA[0][:-1]: stuffRA[1], stuffDec[0][:-1]: stuffDec[1],filters[0][:-1]: filters[1],
MWEBV[0][:-1]: MWEBV[1], 'SNTYPE': -9, 'SIM_COMMENT': typestring }
#table.rename_column('mjd', 'MJD')
#table.rename_column('filter ', 'FLT')
#table.rename_column('flux', 'FLUXCAL')
#table.rename_column('flux_error', 'FLUXCALERR')
sncosmo.write_lc(table, 'new_mocks/%s'%output,pedantic=True, format = 'snana')
In [3]:
prototypes_Ia=[ 'DES_SN002542.DAT', 'DES_SN013866.DAT', 'DES_SN023940.DAT', 'DES_SN024734.DAT', 'DES_SN030701.DAT', 'DES_SN045040.DAT']
prototypes_II=[ 'DES_SN002457.DAT', 'DES_SN005519.DAT', 'DES_SN006381.DAT', 'DES_SN008569.DAT', 'DES_SN013360.DAT', 'DES_SN013481.DAT']
prototypes_Ibc=['DES_SN005399.DAT', 'DES_SN013863.DAT', 'DES_SN027266.DAT', 'DES_SN030183.DAT', 'DES_SN065493.DAT', 'DES_SN078241.DAT']
len(prototypes_II)
Out[3]:
6
In [4]:
prototypes_II
Out[4]:
['DES_SN002457.DAT',
'DES_SN005519.DAT',
'DES_SN006381.DAT',
'DES_SN008569.DAT',
'DES_SN013360.DAT',
'DES_SN013481.DAT']
In [5]:
def produce_mock_data_set(degrading_factor, realsperlc=100, prototypes_Ia=['DES_SN002542.DAT'], prototypes_II=['DES_SN002457.DAT'], prototypes_Ibc=['DES_SN005399.DAT']):
#Data root
dat=sndata.Dataset(rt)
types=dat.get_types()
types['Type'][np.floor(types['Type']/10)==2]=2
types['Type'][np.floor(types['Type']/10)==3]=3
logfile=open('new_mocks/new_mocks.LIST', 'w')
for prot in range(len(prototypes_II)):
type_II = []
for i in range(len(dat.data[prototypes_II[prot]]['flux'])):
type_II.append(np.random.normal(dat.data[prototypes_II[prot]]['flux'][i], dat.data[prototypes_II[prot]]['flux_error'][i]*degrading_factor, realsperlc))
type_II = np.array(type_II)
filename_II = 'SPCC_SUBSET/'+prototypes_II[prot]
test_table_II = dat.data[prototypes_II[prot]]
test_table_II.rename_column('flux', 'FLUXCAL')
test_table_II.rename_column('flux_error', 'FLUXCALERR')
col_II = Table.Column(name='field',data=np.zeros(len(test_table_II)) )
test_table_II.add_column(col_II, index = 2)
for i in range(realsperlc):
test_table_II.replace_column('FLUXCAL', type_II[:,i])
test_table_II.replace_column('FLUXCALERR', test_table_II['FLUXCALERR']*degrading_factor)
make_new_data(filename_II, test_table_II, 'II_%s_%s'%(i,prototypes_II[prot]), 2)
logfile.write('II_'+str(i)+'_'+prototypes_II[prot]+'\n')
for prot in range(len(prototypes_Ia)):
type_Ia = []
for i in range(len(dat.data[prototypes_Ia[prot]]['flux'])):
type_Ia.append(np.random.normal(dat.data[prototypes_Ia[prot]]['flux'][i], dat.data[prototypes_Ia[prot]]['flux_error'][i]*degrading_factor, realsperlc))
type_Ia = np.array(type_Ia)
filename_Ia = 'SPCC_SUBSET/'+prototypes_Ia[prot]
test_table_Ia = dat.data[prototypes_Ia[prot]]
test_table_Ia.rename_column('flux', 'FLUXCAL')
test_table_Ia.rename_column('flux_error', 'FLUXCALERR')
col_Ia = Table.Column(name='field',data=np.zeros(len(test_table_Ia)) )
test_table_Ia.add_column(col_Ia, index = 2)
for i in range(realsperlc):
test_table_Ia.replace_column('FLUXCAL', type_Ia[:,i])
test_table_Ia.replace_column('FLUXCALERR', test_table_Ia['FLUXCALERR']*degrading_factor)
make_new_data(filename_Ia, test_table_Ia, 'Ia_%s_%s'%(i,prototypes_Ia[prot]), 1)
logfile.write('Ia_'+str(i)+'_'+prototypes_Ia[prot]+'\n')
for prot in range(len(prototypes_Ibc)):
type_Ibc = []
for i in range(len(dat.data[prototypes_Ibc[prot]]['flux'])):
type_Ibc.append(np.random.normal(dat.data[prototypes_Ibc[prot]]['flux'][i], dat.data[prototypes_Ibc[prot]]['flux_error'][i]*degrading_factor, realsperlc))
type_Ibc = np.array(type_Ibc)
filename_Ibc = 'SPCC_SUBSET/'+prototypes_Ibc[prot]
test_table_Ibc = dat.data[prototypes_Ibc[prot]]
test_table_Ibc.rename_column('flux', 'FLUXCAL')
test_table_Ibc.rename_column('flux_error', 'FLUXCALERR')
col_Ibc = Table.Column(name='field',data=np.zeros(len(test_table_Ibc)) )
test_table_Ibc.add_column(col_Ibc, index = 3)
for i in range(realsperlc):
test_table_Ibc.replace_column('FLUXCAL', type_Ibc[:,i])
test_table_Ibc.replace_column('FLUXCALERR', test_table_Ibc['FLUXCALERR']*degrading_factor)
make_new_data(filename_Ibc, test_table_Ibc, 'Ibc_%s_%s'%(i,prototypes_Ibc[prot]), 3)
logfile.write('Ibc_'+str(i)+'_'+prototypes_Ibc[prot]+'\n')
logfile.close()
In [6]:
#produce_mock_data_set(1.1, 111, prototypes_Ia, prototypes_II, prototypes_Ibc)
In [ ]:
In [ ]:
In [7]:
def AUC_from_mock_data_set(classifiers=['nb','knn','svm','neural_network','boost_dt']):
rt1=os.path.join('new_mocks','')
dat1=sndata.Dataset(rt1)
for obj in dat1.object_names:
for i in range(len(dat1.data[obj])):
dat1.data[obj]['filter'][i]=dat1.data[obj]['filter'][i][3:7]
types=dat1.get_types()
types['Type'][np.floor(types['Type']/10)==2]=2
types['Type'][np.floor(types['Type']/10)==3]=3
%%capture --no-stdout
mod1Feats=snfeatures.ParametricFeatures('karpenka',sampler='leastsq')
mod1_features=mod1Feats.extract_features(dat1,nprocesses=4,chain_directory=out_int)
mod1_features.write('%s_karpenka.dat' %run_name, format='ascii')
#Unfortunately, sometimes the fitting methods return NaN for some parameters for these models.
for c in mod1_features.colnames[1:]:
mod1_features[c][np.isnan(mod1_features[c])]=0
mod1Feats.fit_sn
dat1.set_model(mod1Feats.fit_sn,mod1_features)
AUC=[]
nprocesses=4
return_classifier=False
columns=[]
training_set=0.7
param_dict={}
scale=True
if isinstance(mod1_features,Table):
#The features are in astropy table format and must be converted to a numpy array before passing to sklearn
#We need to make sure we match the correct Y values to X values. The safest way to do this is to make types an
#astropy table as well.
if not isinstance(types,Table):
types=Table(data=[mod1_features['Object'],types],names=['Object','Type'])
feats=join(mod1_features,types,'Object')
if len(columns)==0:
columns=feats.columns[1:-1]
#Split into training and validation sets
if np.isscalar(training_set):
objs=feats['Object']
objs=np.random.permutation(objs)
training_set=objs[:(int)(training_set*len(objs))]
#Otherwise a training set has already been provided as a list of Object names and we can continue
feats_train=feats[np.in1d(feats['Object'],training_set)]
feats_test=feats[~np.in1d(feats['Object'],training_set)]
X_train=np.array([feats_train[c] for c in columns]).T
y_train=np.array(feats_train['Type'])
X_test=np.array([feats_test[c] for c in columns]).T
y_test=np.array(feats_test['Type'])
else:
#Otherwise the features are already in the form of a numpy array
if np.isscalar(training_set):
inds=np.random.permutation(range(len(features)))
train_inds=inds[:(int)(len(inds)*training_set)]
test_inds=inds[(int)(len(inds)*training_set):]
else:
#We assume the training set has been provided as indices
train_inds=training_set
test_inds=range(len(types))[~np.in1d(range(len(types)),training_set)]
X_train=mod1_features[train_inds]
y_train=types[train_inds]
X_test=mod1_features[test_inds]
y_test=types[test_inds]
#Rescale the data (highly recommended)
if scale:
scaler = sklearn.preprocessing.StandardScaler()
scaler.fit(np.vstack((X_train, X_test)))
X_train = scaler.transform(X_train)
X_test = scaler.transform(X_test)
probabilities={}
classifier_objects={}
if nprocesses>1 and return_classifier:
print "Due to limitations with python's multiprocessing module, classifier objects cannot be returned if " \
"multiple processors are used. Continuing serially..."
print
if nprocesses>1 and not return_classifier:
partial_func=partial(snclassifier.__call_classifier,X_train=X_train, y_train=y_train, X_test=X_test,
param_dict=param_dict,return_classifier=False)
p=Pool(nprocesses)
result=p.map(partial_func,classifiers)
for i in range(len(result)):
cls=classifiers[i]
probabilities[cls]=result[i]
else:
for cls in classifiers:
probs,clf=snclassifier.__call_classifier(cls, X_train, y_train, X_test, param_dict,return_classifier)
probabilities[cls]=probs
if return_classifier:
classifier_objects[cls]=clf
for i in range(len(classifiers)):
cls=classifiers[i]
probs=probabilities[cls]
fpr, tpr, auc=snclassifier.roc(probs, y_test, true_class=1)
AUC.append(auc)
return AUC
In [8]:
classifiers=['nb','svm','boost_dt']
#replace model
#run with full size data set
#put classifier names into plot
auc_allclass={}
for cl in classifiers:
auc_grid=[]
for i in range(11):
produce_mock_data_set(1.+i/10, 11, prototypes_Ia, prototypes_II, prototypes_Ibc)
auc_grid=np.append(auc_grid, AUC_from_mock_data_set([cl]));
auc_allclass[cl]=auc_grid
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in exp
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.447085
logB = +3.397054
t0 = +65.797844
t1 = +83.536295
T_rise = +0.029457
T_fall = +0.037202
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in exp
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in exp
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.863455
logB = -1.735954
t0 = +26.627654
t1 = +2.329111
T_rise = +0.007022
T_fall = +0.028234
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in exp
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.063516
logB = +4.523280
t0 = +9.539392
t1 = +5.495805
T_rise = +0.003805
T_fall = +0.009201
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.025340
logB = -0.484525
t0 = +50.468098
t1 = +0.224699
T_rise = +0.048478
T_fall = +0.041508
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.512889
logB = +3.238594
t0 = +70.487219
t1 = +0.008632
T_rise = +0.014465
T_fall = +0.054817
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.487099
logB = +3.778142
t0 = +93.579666
t1 = +49.271515
T_rise = +0.074866
T_fall = +0.045933
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.336661
logB = -0.912674
t0 = +34.912937
t1 = +4.202860
T_rise = +0.009017
T_fall = +0.005947
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.936182
logB = -3.099142
t0 = +4.111414
t1 = +67.108741
T_rise = +0.001026
T_fall = +0.004382
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.936182
logB = -3.099142
t0 = +4.111414
t1 = +67.108741
T_rise = +0.001026
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.852635
logB = -9.462459
t0 = +65.845302
t1 = +96.105442
T_rise = +0.087103
T_fall = +0.022686
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.799054
logB = -9.128419
t0 = +52.110640
t1 = +8.098858
T_rise = +0.001088
T_fall = +0.067465
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.455602
logB = +3.096168
t0 = +4.090010
t1 = +5.434350
T_rise = +0.000001
T_fall = +0.001029
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.442211
logB = +3.083082
t0 = +4.090010
t1 = +5.623505
T_rise = +0.000001
T_fall = +0.003665
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.442211
logB = +3.083082
t0 = +4.090010
t1 = +5.623505
T_rise = +0.000001
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.334273
logB = +4.284346
t0 = +66.133812
t1 = +61.774702
T_rise = +0.089677
T_fall = +0.090849
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.212982
logB = +1.346463
t0 = +64.885423
t1 = +24.941911
T_rise = +0.048984
T_fall = +0.057150
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.212472
logB = +0.239883
t0 = +22.000008
t1 = +78.970920
T_rise = +0.000001
T_fall = +0.000815
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.173801
logB = +0.203123
t0 = +22.000008
t1 = +77.255823
T_rise = +0.000001
T_fall = +0.028999
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.173801
logB = +0.203123
t0 = +22.000008
t1 = +77.255823
T_rise = +0.000001
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -9.805453
logB = +4.481795
t0 = +66.830532
t1 = +46.681347
T_rise = +0.006765
T_fall = +0.015116
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.838627
logB = -8.955296
t0 = +66.656511
t1 = +0.012977
T_rise = +0.001113
T_fall = +0.046719
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.034246
logB = -2.346124
t0 = +80.512251
t1 = +51.495838
T_rise = +0.034138
T_fall = +0.001291
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.895992
logB = +3.720953
t0 = +66.479117
t1 = +63.372009
T_rise = +0.091500
T_fall = +0.093159
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.944999
logB = -1.289981
t0 = +4.091163
t1 = +32.271534
T_rise = +0.000785
T_fall = +0.000116
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.628404
logB = +2.226708
t0 = +74.021560
t1 = +0.005428
T_rise = +0.000003
T_fall = +0.075110
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -0.349362
t0 = +91.917948
t1 = +58.026698
T_rise = +3.346468
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = +nan
t0 = +91.917948
t1 = +58.026698
T_rise = +3.346468
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = -0.349362
t0 = +nan
t1 = +58.026698
T_rise = +3.346468
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = -0.349362
t0 = +91.917948
t1 = +nan
T_rise = +3.346468
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = -0.349362
t0 = +91.917948
t1 = +58.026698
T_rise = +nan
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = -0.349362
t0 = +91.917948
t1 = +58.026698
T_rise = +3.346468
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -0.349362
t0 = +91.917948
t1 = +58.026698
T_rise = +3.346468
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = +nan
t0 = +91.917948
t1 = +58.026698
T_rise = +3.346468
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = -0.349362
t0 = +nan
t1 = +58.026698
T_rise = +3.346468
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = -0.349362
t0 = +91.917948
t1 = +nan
T_rise = +3.346468
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = -0.349362
t0 = +91.917948
t1 = +58.026698
T_rise = +nan
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = -0.349362
t0 = +91.917948
t1 = +58.026698
T_rise = +3.346468
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.300651
logB = -11.457905
t0 = +51.427332
t1 = +5.094283
T_rise = +0.000500
T_fall = +0.009919
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.506781
logB = +0.230616
t0 = +2.016526
t1 = +61.857629
T_rise = +0.000054
T_fall = +0.002390
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.501617
logB = +0.225560
t0 = +2.016529
t1 = +61.905190
T_rise = +0.000054
T_fall = +0.001073
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.499290
logB = +0.223283
t0 = +2.016530
t1 = +61.926605
T_rise = +0.000054
T_fall = +0.000649
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.061917
logB = -1.185718
t0 = +2.016577
t1 = +97.832145
T_rise = +0.000040
T_fall = +0.001452
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.061917
logB = -1.185718
t0 = +2.016577
t1 = +97.832145
T_rise = +0.000040
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.286033
logB = +2.213367
t0 = +73.184358
t1 = +69.324568
T_rise = +0.065117
T_fall = +0.065086
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.277132
logB = +2.197555
t0 = +74.486443
t1 = +69.164113
T_rise = +0.009930
T_fall = +0.006268
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.260938
logB = +0.840932
t0 = +79.494499
t1 = +71.047478
T_rise = +0.096529
T_fall = +0.097381
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.933657
logB = -2.104706
t0 = +70.223427
t1 = +3.863823
T_rise = +0.033283
T_fall = +0.026951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -0.349362
t0 = +91.917948
t1 = +58.026698
T_rise = +3.346468
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = +nan
t0 = +91.917948
t1 = +58.026698
T_rise = +3.346468
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = -0.349362
t0 = +nan
t1 = +58.026698
T_rise = +3.346468
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = -0.349362
t0 = +91.917948
t1 = +nan
T_rise = +3.346468
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = -0.349362
t0 = +91.917948
t1 = +58.026698
T_rise = +nan
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = -0.349362
t0 = +91.917948
t1 = +58.026698
T_rise = +3.346468
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -0.349362
t0 = +91.917948
t1 = +58.026698
T_rise = +3.346468
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = +nan
t0 = +91.917948
t1 = +58.026698
T_rise = +3.346468
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.652114
logB = -1.562309
t0 = +53.864740
t1 = +75.448716
T_rise = +0.000856
T_fall = +0.013328
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = -0.349362
t0 = +nan
t1 = +58.026698
T_rise = +3.346468
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = -0.349362
t0 = +91.917948
t1 = +nan
T_rise = +3.346468
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = -0.349362
t0 = +91.917948
t1 = +58.026698
T_rise = +nan
T_fall = +0.111523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.387669
logB = -0.349362
t0 = +91.917948
t1 = +58.026698
T_rise = +3.346468
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.382494
logB = +2.080453
t0 = +5.004003
t1 = +37.603492
T_rise = +0.000000
T_fall = +0.000051
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.559650
logB = -10.491643
t0 = +44.353440
t1 = +22.792735
T_rise = +0.037275
T_fall = +0.000182
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.559650
logB = -10.491643
t0 = +44.353440
t1 = +22.792735
T_rise = +0.037275
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.559650
logB = -9.161581
t0 = +44.353440
t1 = +22.792735
T_rise = +0.037275
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.559650
logB = -9.161581
t0 = +44.353440
t1 = +22.792735
T_rise = +1.779087
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.559650
logB = -6.451215
t0 = +44.353440
t1 = +22.792735
T_rise = +1.779087
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.559650
logB = -6.451215
t0 = +47.642159
t1 = +22.792735
T_rise = +1.779087
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.657747
logB = -10.290441
t0 = +58.581465
t1 = +99.654900
T_rise = +0.010456
T_fall = +0.039640
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -5.338730
t0 = +57.340411
t1 = +98.929840
T_rise = +69.686311
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = +nan
t0 = +57.340411
t1 = +98.929840
T_rise = +69.686311
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = -5.338730
t0 = +nan
t1 = +98.929840
T_rise = +69.686311
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = -5.338730
t0 = +57.340411
t1 = +nan
T_rise = +69.686311
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = -5.338730
t0 = +57.340411
t1 = +98.929840
T_rise = +nan
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = -5.338730
t0 = +57.340411
t1 = +98.929840
T_rise = +69.686311
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.050291
logB = -5.924639
t0 = +76.702814
t1 = +44.402198
T_rise = +0.000199
T_fall = +0.007531
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.334894
logB = +0.560543
t0 = +50.431493
t1 = +60.356229
T_rise = +0.011225
T_fall = +0.000007
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -5.338730
t0 = +57.340411
t1 = +98.929840
T_rise = +69.686311
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = +nan
t0 = +57.340411
t1 = +98.929840
T_rise = +69.686311
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = -5.338730
t0 = +nan
t1 = +98.929840
T_rise = +69.686311
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = -5.338730
t0 = +57.340411
t1 = +nan
T_rise = +69.686311
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = -5.338730
t0 = +57.340411
t1 = +98.929840
T_rise = +nan
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = -5.338730
t0 = +57.340411
t1 = +98.929840
T_rise = +69.686311
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -5.338730
t0 = +57.340411
t1 = +98.929840
T_rise = +69.686311
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = +nan
t0 = +57.340411
t1 = +98.929840
T_rise = +69.686311
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = -5.338730
t0 = +nan
t1 = +98.929840
T_rise = +69.686311
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = -5.338730
t0 = +57.340411
t1 = +nan
T_rise = +69.686311
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = -5.338730
t0 = +57.340411
t1 = +98.929840
T_rise = +nan
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = -5.338730
t0 = +57.340411
t1 = +98.929840
T_rise = +69.686311
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.375278
logB = -2.544017
t0 = +55.389113
t1 = +7.309151
T_rise = +0.007125
T_fall = +0.015924
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.569462
logB = -0.850621
t0 = +11.359811
t1 = +28.457640
T_rise = +0.000001
T_fall = +0.010161
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -5.338730
t0 = +57.340411
t1 = +98.929840
T_rise = +69.686311
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = +nan
t0 = +57.340411
t1 = +98.929840
T_rise = +69.686311
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = -5.338730
t0 = +nan
t1 = +98.929840
T_rise = +69.686311
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = -5.338730
t0 = +57.340411
t1 = +nan
T_rise = +69.686311
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = -5.338730
t0 = +57.340411
t1 = +98.929840
T_rise = +nan
T_fall = +0.057951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.649882
logB = -5.338730
t0 = +57.340411
t1 = +98.929840
T_rise = +69.686311
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.236660
logB = -11.503958
t0 = +15.743050
t1 = +49.356787
T_rise = +0.010614
T_fall = +0.021076
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.407934
logB = -8.677981
t0 = +92.670854
t1 = +28.543085
T_rise = +0.075540
T_fall = +0.007684
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.085185
logB = +4.378747
t0 = +59.712935
t1 = +97.683224
T_rise = +0.001969
T_fall = +0.058529
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.034381
logB = -1.317246
t0 = +4.659380
t1 = +2.864130
T_rise = +0.003742
T_fall = +0.005906
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.368452
logB = -2.371206
t0 = +3.471627
t1 = +7.780008
T_rise = +0.000127
T_fall = +0.001691
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.368452
logB = -2.371206
t0 = +3.471627
t1 = +7.780008
T_rise = +0.000127
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.050386
logB = -3.204249
t0 = +97.515661
t1 = +64.596122
T_rise = +0.003713
T_fall = +0.033028
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.582432
logB = -0.379722
t0 = +49.834435
t1 = +42.151279
T_rise = +0.067512
T_fall = +0.068074
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.712254
logB = +0.431529
t0 = +5.007452
t1 = +29.464971
T_rise = +0.000568
T_fall = +0.000197
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.356047
logB = -6.602420
t0 = +41.311854
t1 = +0.283019
T_rise = +0.042714
T_fall = +0.002145
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.675940
logB = -7.082036
t0 = +70.318770
t1 = +3.926310
T_rise = +0.002603
T_fall = +0.012562
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.320710
logB = -5.372824
t0 = +77.904486
t1 = +0.796600
T_rise = +0.098985
T_fall = +0.042883
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.301852
logB = -5.364788
t0 = +78.224523
t1 = +1.832374
T_rise = +0.002484
T_fall = +0.033251
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.888584
logB = -10.720653
t0 = +98.326996
t1 = +7.768571
T_rise = +0.009853
T_fall = +0.020444
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.675961
logB = -7.299521
t0 = +78.635020
t1 = +59.208029
T_rise = +0.085933
T_fall = +0.086638
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.619683
logB = -6.965611
t0 = +78.771350
t1 = +60.553490
T_rise = +0.060759
T_fall = +0.060774
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.860266
logB = -8.647966
t0 = +99.923392
t1 = +99.978467
T_rise = +0.037575
T_fall = +0.000020
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.408799
logB = -7.387786
t0 = +99.557356
t1 = +17.179641
T_rise = +0.106609
T_fall = +0.068594
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.275337
logB = +1.743293
t0 = +39.444118
t1 = +16.656886
T_rise = +0.000000
T_fall = +0.024477
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.898895
logB = -11.445509
t0 = +97.183018
t1 = +33.501012
T_rise = +0.003343
T_fall = +0.057690
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.300530
logB = -6.048431
t0 = +69.430806
t1 = +88.419285
T_rise = +0.008495
T_fall = +0.028951
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.032781
logB = -8.632437
t0 = +44.464738
t1 = +13.565303
T_rise = +0.001220
T_fall = +0.005226
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.367215
logB = -4.298181
t0 = +98.697397
t1 = +86.745862
T_rise = +0.000002
T_fall = +0.007293
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.585997
logB = -5.231907
t0 = +58.104015
t1 = +99.944978
T_rise = +0.076606
T_fall = +0.008393
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.723759
logB = -1.211285
t0 = +56.365086
t1 = +94.625652
T_rise = +0.000002
T_fall = +0.029925
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.503197
logB = -1.152618
t0 = +100.000000
t1 = +91.649350
T_rise = +0.093995
T_fall = +0.089377
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.762854
logB = +0.722534
t0 = +86.771127
t1 = +18.654216
T_rise = +0.073182
T_fall = +0.000033
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.485960
logB = +1.524340
t0 = +85.144035
t1 = +85.009176
T_rise = +0.094107
T_fall = +0.026035
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.550014
logB = -1.931277
t0 = +99.104778
t1 = +0.761108
T_rise = +0.117944
T_fall = +0.005655
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.679793
logB = +1.676286
t0 = +65.924430
t1 = +6.522001
T_rise = +0.016627
T_fall = +0.006536
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.404816
logB = -1.661933
t0 = +96.320701
t1 = +18.588343
T_rise = +0.076798
T_fall = +0.091518
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.408798
logB = -2.444493
t0 = +22.900116
t1 = +5.349020
T_rise = +0.014700
T_fall = +0.014695
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.645841
logB = -10.978652
t0 = +6.307165
t1 = +35.484020
T_rise = +0.006873
T_fall = +0.000004
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.546037
logB = -3.819777
t0 = +78.695172
t1 = +0.000003
T_rise = +0.013276
T_fall = +0.019730
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.015230
logB = -6.573469
t0 = +89.353531
t1 = +90.633474
T_rise = +0.054778
T_fall = +0.000908
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.594407
logB = -3.406131
t0 = +80.560257
t1 = +3.528291
T_rise = +0.010641
T_fall = +0.015882
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.979418
logB = -9.515010
t0 = +59.925596
t1 = +0.000025
T_rise = +0.016676
T_fall = +0.066650
m.migrad()
198 objects fitted
Time taken is 1.94 minutes
Fitting supernova models...
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in exp
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
Models fitted.
Created classifier of type:
GaussianNB()
Optimised parameters: {}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.167985
logB = -6.035860
t0 = +99.117269
t1 = +5.520324
T_rise = +0.013788
T_fall = +0.000944
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.950524
logB = -6.423083
t0 = +82.891023
t1 = +26.545243
T_rise = +0.018528
T_fall = +0.034644
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.009701
logB = -10.599726
t0 = +67.605841
t1 = +43.122049
T_rise = +0.007335
T_fall = +0.067819
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.009701
logB = -10.599726
t0 = +67.605841
t1 = +43.122049
T_rise = +0.007335
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.104928
logB = -7.696547
t0 = +5.049078
t1 = +6.889307
T_rise = +0.002727
T_fall = +0.000065
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.104928
logB = -7.696547
t0 = +5.049078
t1 = +6.889307
T_rise = +0.002727
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.402009
logB = -0.802497
t0 = +4.209833
t1 = +16.049227
T_rise = +0.000274
T_fall = +0.002516
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.624751
logB = -2.807423
t0 = +4.092662
t1 = +77.134891
T_rise = +0.000001
T_fall = +0.004694
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.886853
logB = -0.224132
t0 = +52.808021
t1 = +58.747487
T_rise = +0.000186
T_fall = +0.017500
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.408607
logB = -5.849030
t0 = +48.317716
t1 = +34.029925
T_rise = +0.021658
T_fall = +0.000442
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.835076
logB = -1.395341
t0 = +3.879876
t1 = +31.575083
T_rise = +0.001597
T_fall = +0.001534
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.625165
logB = +1.334591
t0 = +5.047406
t1 = +57.022233
T_rise = +0.000046
T_fall = +0.000391
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.628210
logB = +1.337525
t0 = +5.047399
t1 = +56.733580
T_rise = +0.000045
T_fall = +0.005123
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.189008
logB = +0.903560
t0 = +2.028195
t1 = +4.342898
T_rise = +0.001047
T_fall = +0.002179
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.189008
logB = +0.903560
t0 = +2.028195
t1 = +4.342898
T_rise = +0.001047
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.640313
logB = +0.292337
t0 = +31.143960
t1 = +5.846998
T_rise = +0.000741
T_fall = +0.033691
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.215439
logB = -11.425441
t0 = +53.098606
t1 = +49.046229
T_rise = +0.016557
T_fall = +0.015078
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.932343
logB = -11.327547
t0 = +84.435033
t1 = +18.454667
T_rise = +0.097955
T_fall = +0.028577
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.729968
logB = +0.448949
t0 = +5.007490
t1 = +29.489791
T_rise = +0.000570
T_fall = +0.006328
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.730143
logB = +0.449121
t0 = +5.007426
t1 = +29.490390
T_rise = +0.000549
T_fall = +0.006438
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.814011
logB = +0.538958
t0 = +5.007599
t1 = +5.083310
T_rise = +0.000686
T_fall = +0.006889
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.814011
logB = +0.538958
t0 = +5.007599
t1 = +5.083310
T_rise = +0.000686
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.777794
logB = +1.577094
t0 = +12.922118
t1 = +24.861920
T_rise = +0.000029
T_fall = +0.004028
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.808176
logB = +1.608405
t0 = +12.922113
t1 = +25.774031
T_rise = +0.000027
T_fall = +0.015613
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.772959
logB = +1.572110
t0 = +12.922116
t1 = +24.717827
T_rise = +0.000027
T_fall = +0.002886
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.807158
logB = +1.603460
t0 = +12.922130
t1 = +39.113257
T_rise = +0.000012
T_fall = +0.002019
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.807158
logB = +1.603460
t0 = +12.922130
t1 = +39.113257
T_rise = +0.000012
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.044981
logB = +1.376609
t0 = +41.777774
t1 = +33.638804
T_rise = +0.040623
T_fall = +0.011782
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.047532
logB = -8.725872
t0 = +61.396244
t1 = +47.889628
T_rise = +0.016993
T_fall = +0.014110
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.809753
logB = +4.099424
t0 = +83.843373
t1 = +10.267455
T_rise = +0.040919
T_fall = +0.104222
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.026127
logB = +2.320770
t0 = +99.507790
t1 = +99.907377
T_rise = +0.023135
T_fall = +0.102123
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.627454
logB = -3.944031
t0 = +26.768759
t1 = +23.478550
T_rise = +0.033587
T_fall = +0.028315
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.815873
logB = -0.301925
t0 = +93.668218
t1 = +0.000000
T_rise = +0.012988
T_fall = +0.095764
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.730768
logB = +2.576454
t0 = +4.324826
t1 = +0.976128
T_rise = +0.000155
T_fall = +0.000491
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -9.381364
logB = -3.526481
t0 = +88.999943
t1 = +0.028055
T_rise = +0.027566
T_fall = +0.000092
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.236840
logB = -1.645575
t0 = +95.558185
t1 = +7.192958
T_rise = +0.015897
T_fall = +0.063993
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.988939
logB = +2.284410
t0 = +92.186737
t1 = +99.860629
T_rise = +0.020348
T_fall = +0.085470
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.813713
logB = +0.543302
t0 = +5.013189
t1 = +29.802382
T_rise = +0.000426
T_fall = +0.000683
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.822884
logB = +0.551193
t0 = +5.514566
t1 = +29.748963
T_rise = +0.000103
T_fall = +0.000153
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.822884
logB = +0.551193
t0 = +5.514566
t1 = +29.748963
T_rise = +0.000103
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.745505
logB = +2.443111
t0 = +13.090022
t1 = +8.319453
T_rise = +0.000001
T_fall = +0.002470
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.083417
logB = -1.148684
t0 = +4.107524
t1 = +18.753956
T_rise = +0.002776
T_fall = +0.003769
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.066703
logB = -1.164720
t0 = +4.133569
t1 = +18.464759
T_rise = +0.001003
T_fall = +0.004888
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.320813
logB = +1.999769
t0 = +26.027020
t1 = +26.555343
T_rise = +0.000242
T_fall = +0.021505
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690695
logB = +2.388532
t0 = +13.090004
t1 = +8.790790
T_rise = +0.000000
T_fall = +0.004145
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.563018
logB = +0.459832
t0 = +84.356918
t1 = +74.506121
T_rise = +0.001044
T_fall = +0.021050
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.965201
logB = -5.473589
t0 = +75.194722
t1 = +85.734223
T_rise = +0.041158
T_fall = +0.000255
m.migrad()
198 objects fitted
Time taken is 46.79 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
GaussianNB()
Optimised parameters: {}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.770285
logB = -1.539191
t0 = +66.449300
t1 = +4.652588
T_rise = +0.013901
T_fall = +0.014994
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.973704
logB = -1.445439
t0 = +70.059511
t1 = +65.323590
T_rise = +0.006619
T_fall = +0.008739
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.063294
logB = -3.303676
t0 = +57.058931
t1 = +11.979492
T_rise = +0.000979
T_fall = +0.070929
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.935297
logB = +1.638597
t0 = +2.016001
t1 = +65.194999
T_rise = +0.000000
T_fall = +0.000530
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.474128
logB = +2.860489
t0 = +60.848032
t1 = +2.449743
T_rise = +0.012432
T_fall = +0.020886
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.880138
logB = -1.351515
t0 = +4.082941
t1 = +32.503386
T_rise = +0.000557
T_fall = +0.002367
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.898238
logB = -1.334089
t0 = +4.086041
t1 = +32.601455
T_rise = +0.001480
T_fall = +0.004790
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.899491
logB = -1.333288
t0 = +3.888641
t1 = +31.910826
T_rise = +0.004431
T_fall = +0.001136
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.757353
logB = -1.461445
t0 = +4.118539
t1 = +3.571455
T_rise = +0.001813
T_fall = +0.000724
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.757353
logB = -1.461445
t0 = +4.118539
t1 = +3.571455
T_rise = +0.001813
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.627413
logB = +0.361772
t0 = +3.148262
t1 = +56.435540
T_rise = +0.001307
T_fall = +0.003715
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.944639
logB = +1.647872
t0 = +2.016024
t1 = +65.063522
T_rise = +0.000002
T_fall = +0.001773
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.997996
logB = -11.464131
t0 = +50.820618
t1 = +0.055696
T_rise = +0.036626
T_fall = +0.067602
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.703338
logB = -5.679823
t0 = +51.653778
t1 = +10.127519
T_rise = +0.001640
T_fall = +0.002177
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.749730
logB = +0.468289
t0 = +5.008797
t1 = +29.769179
T_rise = +0.000323
T_fall = +0.002776
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.749730
logB = +0.468289
t0 = +5.008797
t1 = +29.769179
T_rise = +0.000323
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.931267
logB = +0.681165
t0 = +9.514210
t1 = +26.947448
T_rise = +0.012118
T_fall = +0.001912
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.285521
logB = -4.927119
t0 = +87.394080
t1 = +43.881878
T_rise = +0.020856
T_fall = +0.000477
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.632294
logB = -0.456731
t0 = +68.685662
t1 = +99.479748
T_rise = +0.075702
T_fall = +0.043480
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -9.865260
logB = -7.164062
t0 = +91.587161
t1 = +10.338010
T_rise = +0.020966
T_fall = +0.013258
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.893073
logB = +1.303195
t0 = +99.999283
t1 = +96.111213
T_rise = +0.015189
T_fall = +0.050658
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.215139
logB = +2.352019
t0 = +27.855595
t1 = +12.334747
T_rise = +0.000006
T_fall = +0.002674
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -6.984940
t0 = +64.343703
t1 = +71.400440
T_rise = +33.140124
T_fall = +0.179292
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.190187
logB = +nan
t0 = +64.343703
t1 = +71.400440
T_rise = +33.140124
T_fall = +0.179292
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.190187
logB = -6.984940
t0 = +nan
t1 = +71.400440
T_rise = +33.140124
T_fall = +0.179292
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.190187
logB = -6.984940
t0 = +64.343703
t1 = +nan
T_rise = +33.140124
T_fall = +0.179292
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.190187
logB = -6.984940
t0 = +64.343703
t1 = +71.400440
T_rise = +nan
T_fall = +0.179292
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.190187
logB = -6.984940
t0 = +64.343703
t1 = +71.400440
T_rise = +33.140124
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -6.984940
t0 = +64.343703
t1 = +71.400440
T_rise = +33.140124
T_fall = +0.179292
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.190187
logB = +nan
t0 = +64.343703
t1 = +71.400440
T_rise = +33.140124
T_fall = +0.179292
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.190187
logB = -6.984940
t0 = +nan
t1 = +71.400440
T_rise = +33.140124
T_fall = +0.179292
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.190187
logB = -6.984940
t0 = +64.343703
t1 = +nan
T_rise = +33.140124
T_fall = +0.179292
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.190187
logB = -6.984940
t0 = +64.343703
t1 = +71.400440
T_rise = +nan
T_fall = +0.179292
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.190187
logB = -6.984940
t0 = +64.343703
t1 = +71.400440
T_rise = +33.140124
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.110486
logB = -11.046787
t0 = +61.030313
t1 = +2.162133
T_rise = +0.028642
T_fall = +0.011405
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690580
logB = +2.388413
t0 = +13.090002
t1 = +8.791899
T_rise = +0.000000
T_fall = +0.004172
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.901499
logB = -2.121098
t0 = +0.935814
t1 = +22.389096
T_rise = +0.000011
T_fall = +0.000382
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.365239
logB = -10.410813
t0 = +18.903017
t1 = +33.093825
T_rise = +0.001085
T_fall = +0.000946
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.091185
logB = -1.140994
t0 = +3.984495
t1 = +17.161884
T_rise = +0.003186
T_fall = +0.000414
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.966352
logB = +2.261147
t0 = +61.453559
t1 = +99.827177
T_rise = +0.017350
T_fall = +0.077744
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629413
logB = -0.619355
t0 = +9.036298
t1 = +19.823519
T_rise = +0.001505
T_fall = +0.010145
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.570085
logB = -0.676654
t0 = +8.979472
t1 = +19.505017
T_rise = +0.001215
T_fall = +0.002565
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.975097
logB = -0.647352
t0 = +13.236273
t1 = +16.124853
T_rise = +0.000437
T_fall = +0.010435
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.372371
logB = +1.714951
t0 = +21.296127
t1 = +98.141469
T_rise = +0.022976
T_fall = +0.001037
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.680609
logB = +2.378501
t0 = +13.090001
t1 = +8.877971
T_rise = +0.000007
T_fall = +0.007274
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.832778
logB = +4.226451
t0 = +15.948178
t1 = +23.965632
T_rise = +0.000138
T_fall = +0.000032
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.912402
logB = -2.104616
t0 = +0.935073
t1 = +22.316809
T_rise = +0.000001
T_fall = +0.000507
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629930
logB = -0.618851
t0 = +9.036453
t1 = +19.826208
T_rise = +0.001535
T_fall = +0.010270
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.568601
logB = -0.678098
t0 = +8.978132
t1 = +19.497370
T_rise = +0.001299
T_fall = +0.003115
m.migrad()
198 objects fitted
Time taken is 35.33 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
GaussianNB()
Optimised parameters: {}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.482233
logB = +0.206593
t0 = +2.018351
t1 = +62.157742
T_rise = +0.000205
T_fall = +0.001047
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.495726
logB = +0.219799
t0 = +2.018325
t1 = +62.032730
T_rise = +0.000202
T_fall = +0.000096
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.063094
logB = +0.780492
t0 = +2.018113
t1 = +2.189771
T_rise = +0.000206
T_fall = +0.000413
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.063094
logB = +0.780492
t0 = +2.018113
t1 = +2.189771
T_rise = +0.000206
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.717063
logB = +4.547841
t0 = +8.608962
t1 = +6.770037
T_rise = +0.000674
T_fall = +0.009655
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.936194
logB = -1.298086
t0 = +4.071125
t1 = +33.436216
T_rise = +0.005573
T_fall = +0.000843
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.180146
logB = -1.100040
t0 = +4.038473
t1 = +92.166813
T_rise = +0.001021
T_fall = +0.001048
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.195637
logB = -1.089399
t0 = +4.039733
t1 = +95.570460
T_rise = +0.001021
T_fall = +0.001325
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.513037
logB = -1.272509
t0 = +76.245105
t1 = +5.341398
T_rise = +0.000276
T_fall = +0.032832
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.408358
logB = -1.332462
t0 = +81.395715
t1 = +5.099400
T_rise = +0.000303
T_fall = +0.057004
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.408358
logB = -1.332462
t0 = +81.395715
t1 = +5.099400
T_rise = +0.000303
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.016982
logB = -2.164983
t0 = +87.305377
t1 = +3.601093
T_rise = +0.080244
T_fall = +0.019187
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.983892
logB = -1.252313
t0 = +4.156901
t1 = +33.747043
T_rise = +0.000541
T_fall = +0.002720
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.596212
logB = -2.505567
t0 = +32.472277
t1 = +20.775037
T_rise = +0.024228
T_fall = +0.000578
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.402136
logB = +2.727335
t0 = +53.675225
t1 = +27.563435
T_rise = +0.007364
T_fall = +0.012226
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.429463
logB = +3.108731
t0 = +5.005457
t1 = +17.697492
T_rise = +0.001762
T_fall = +0.001347
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.248114
logB = -2.448686
t0 = +4.107434
t1 = +48.385292
T_rise = +0.001089
T_fall = +0.000721
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.248114
logB = -2.448686
t0 = +4.107434
t1 = +48.385292
T_rise = +0.001089
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.915820
logB = -1.318118
t0 = +4.001078
t1 = +33.294946
T_rise = +0.000917
T_fall = +0.002957
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.943190
logB = +1.646401
t0 = +2.016002
t1 = +64.824002
T_rise = +0.000000
T_fall = +0.000076
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.019186
logB = -0.504715
t0 = +91.871871
t1 = +2.154734
T_rise = +0.024696
T_fall = +0.000032
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.846317
logB = +0.563124
t0 = +5.008863
t1 = +29.544434
T_rise = +0.000369
T_fall = +0.002188
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.846317
logB = +0.563124
t0 = +5.008863
t1 = +29.544434
T_rise = +0.000369
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.265108
logB = -11.021306
t0 = +18.568613
t1 = +37.023754
T_rise = +0.000017
T_fall = +0.003591
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.265108
logB = -11.021306
t0 = +18.568613
t1 = +37.023754
T_rise = +0.000017
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.016379
logB = +1.412586
t0 = +99.350933
t1 = +96.523294
T_rise = +0.023822
T_fall = +0.056658
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.659295
logB = +4.044513
t0 = +79.935460
t1 = +43.731362
T_rise = +0.030458
T_fall = +0.018882
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.555901
logB = -9.436796
t0 = +28.453168
t1 = +99.888901
T_rise = +0.002398
T_fall = +0.002795
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.802219
logB = +4.445918
t0 = +99.215128
t1 = +8.239598
T_rise = +0.043463
T_fall = +0.084131
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.801041
logB = -2.269030
t0 = +0.941986
t1 = +23.009424
T_rise = +0.000679
T_fall = +0.000066
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.150633
logB = +0.589331
t0 = +60.537049
t1 = +91.694652
T_rise = +0.000149
T_fall = +0.067968
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.830783
logB = +2.847464
t0 = +30.196718
t1 = +5.846592
T_rise = +0.040979
T_fall = +0.041130
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.068409
logB = -1.162938
t0 = +4.137318
t1 = +17.024534
T_rise = +0.004404
T_fall = +0.004716
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.078634
logB = -1.153084
t0 = +4.137317
t1 = +17.057569
T_rise = +0.004146
T_fall = +0.002112
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.126672
logB = -1.106771
t0 = +4.137309
t1 = +17.216741
T_rise = +0.003919
T_fall = +0.003665
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.073058
logB = -1.158458
t0 = +4.137318
t1 = +17.039158
T_rise = +0.004174
T_fall = +0.003399
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.128474
logB = -1.105222
t0 = +4.136134
t1 = +18.787905
T_rise = +0.000757
T_fall = +0.002330
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.128770
logB = -1.104959
t0 = +4.082709
t1 = +18.789911
T_rise = +0.005652
T_fall = +0.002384
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -9.154976
logB = +3.109565
t0 = +97.216973
t1 = +75.489241
T_rise = +0.024338
T_fall = +0.106361
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.303895
logB = -0.932770
t0 = +18.985447
t1 = +21.329708
T_rise = +0.013496
T_fall = +0.012724
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690487
logB = +2.388330
t0 = +13.090053
t1 = +8.792472
T_rise = +0.000001
T_fall = +0.004204
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.303999
logB = -0.932669
t0 = +18.983693
t1 = +21.330881
T_rise = +0.010969
T_fall = +0.012711
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.911672
logB = -2.105717
t0 = +0.935124
t1 = +22.321635
T_rise = +0.000001
T_fall = +0.000498
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.081752
logB = +1.942896
t0 = +27.479074
t1 = +9.426170
T_rise = +0.037392
T_fall = +0.002511
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629896
logB = -0.618883
t0 = +9.036443
t1 = +19.826034
T_rise = +0.001533
T_fall = +0.010262
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.568698
logB = -0.678003
t0 = +8.978219
t1 = +19.497869
T_rise = +0.001293
T_fall = +0.003078
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.895015
logB = -2.130873
t0 = +0.936244
t1 = +22.431702
T_rise = +0.000023
T_fall = +0.000316
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.842470
logB = -2.208961
t0 = +0.939550
t1 = +22.763723
T_rise = +0.000280
T_fall = +0.000012
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.872691
logB = -2.164299
t0 = +0.937685
t1 = +22.575617
T_rise = +0.000098
T_fall = +0.000137
m.migrad()
198 objects fitted
Time taken is 35.87 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
GaussianNB()
Optimised parameters: {}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.009415
logB = -1.227791
t0 = +4.098889
t1 = +33.706570
T_rise = +0.000658
T_fall = +0.005528
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.011161
logB = -1.226102
t0 = +4.098929
t1 = +33.709373
T_rise = +0.000700
T_fall = +0.005411
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.011161
logB = -1.226102
t0 = +4.098929
t1 = +33.709373
T_rise = +0.000700
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.847654
logB = +1.569861
t0 = +73.407556
t1 = +62.904606
T_rise = +0.000424
T_fall = +0.010885
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.095657
logB = -1.144525
t0 = +78.362888
t1 = +26.432101
T_rise = +0.096701
T_fall = +0.109513
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.433550
logB = -11.250962
t0 = +99.815062
t1 = +97.148963
T_rise = +0.000664
T_fall = +0.002604
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.859269
logB = -1.376833
t0 = +2.666237
t1 = +32.082285
T_rise = +0.000680
T_fall = +0.000559
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.738187
logB = +0.456971
t0 = +5.012460
t1 = +29.684922
T_rise = +0.002575
T_fall = +0.006866
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.086029
logB = +0.803144
t0 = +5.016612
t1 = +7.231332
T_rise = +0.001338
T_fall = +0.006832
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.086029
logB = +0.803144
t0 = +5.016612
t1 = +7.231332
T_rise = +0.001338
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.787993
logB = +4.405273
t0 = +65.704041
t1 = +5.538653
T_rise = +0.019043
T_fall = +0.017808
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.241975
logB = +0.901014
t0 = +17.078281
t1 = +0.002135
T_rise = +0.002120
T_fall = +0.004815
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.836079
logB = +2.090905
t0 = +42.493667
t1 = +99.588138
T_rise = +0.039145
T_fall = +0.003893
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.635643
logB = -1.494683
t0 = +57.402366
t1 = +60.902577
T_rise = +0.053163
T_fall = +0.030117
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.121103
logB = +0.839133
t0 = +5.010917
t1 = +5.034413
T_rise = +0.001015
T_fall = +0.001595
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.121103
logB = +0.839133
t0 = +5.010917
t1 = +5.034413
T_rise = +0.001015
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.901800
logB = +4.129431
t0 = +90.691443
t1 = +7.211825
T_rise = +0.096487
T_fall = +0.000071
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.597506
logB = -1.698929
t0 = +97.906288
t1 = +64.917382
T_rise = +0.011417
T_fall = +0.137997
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.069361
logB = -1.163743
t0 = +19.396825
t1 = +12.981212
T_rise = +0.009433
T_fall = +0.000150
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.902611
logB = -10.133374
t0 = +11.672507
t1 = +99.475990
T_rise = +0.010405
T_fall = +0.000001
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.900629
logB = -2.122426
t0 = +0.935869
t1 = +22.394957
T_rise = +0.000013
T_fall = +0.000373
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629370
logB = -0.619396
t0 = +9.036285
t1 = +19.823296
T_rise = +0.001503
T_fall = +0.010135
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.570205
logB = -0.676537
t0 = +8.979582
t1 = +19.505638
T_rise = +0.001209
T_fall = +0.002522
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.919435
logB = -2.093914
t0 = +0.934591
t1 = +22.269413
T_rise = +0.000001
T_fall = +0.000596
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.832973
logB = -2.222871
t0 = +0.940114
t1 = +22.821424
T_rise = +0.000356
T_fall = +0.000001
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.873270
logB = -2.163429
t0 = +0.937650
t1 = +22.571871
T_rise = +0.000096
T_fall = +0.000140
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.772198
logB = -2.310044
t0 = +0.943626
t1 = +23.172790
T_rise = +0.001059
T_fall = +0.000266
m.migrad()
198 objects fitted
Time taken is 32.12 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
GaussianNB()
Optimised parameters: {}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.238331
logB = +0.915326
t0 = +9.710769
t1 = +8.159642
T_rise = +0.004264
T_fall = +0.001301
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.338877
logB = -1.737301
t0 = +9.665095
t1 = +97.208584
T_rise = +0.007058
T_fall = +0.001463
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.712259
logB = +1.441523
t0 = +63.581843
t1 = +66.691875
T_rise = +0.048888
T_fall = +0.079321
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.034249
logB = -2.184064
t0 = +4.026913
t1 = +14.549039
T_rise = +0.004773
T_fall = +0.005665
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.247147
logB = -1.972837
t0 = +4.026228
t1 = +14.639011
T_rise = +0.004772
T_fall = +0.005253
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.247147
logB = -1.972837
t0 = +4.026228
t1 = +14.639011
T_rise = +0.004772
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.692553
logB = -8.609097
t0 = +53.689675
t1 = +95.992893
T_rise = +0.012657
T_fall = +0.007407
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.953736
logB = -1.281342
t0 = +4.039722
t1 = +33.937046
T_rise = +0.000444
T_fall = +0.000410
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.592297
logB = +2.558277
t0 = +20.787953
t1 = +4.927978
T_rise = +0.020395
T_fall = +0.020563
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.993220
logB = -9.940297
t0 = +71.112451
t1 = +53.456835
T_rise = +0.013996
T_fall = +0.019945
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.225568
logB = -9.981176
t0 = +53.001108
t1 = +98.670083
T_rise = +0.052364
T_fall = +0.000207
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.566934
logB = -1.721960
t0 = +87.472158
t1 = +64.884651
T_rise = +0.011717
T_fall = +0.029170
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.322510
logB = +2.089421
t0 = +87.314273
t1 = +13.223956
T_rise = +0.000245
T_fall = +0.060798
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.322510
logB = +2.089421
t0 = +87.314273
t1 = +13.223956
T_rise = +0.000245
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.140369
logB = -4.517254
t0 = +36.378316
t1 = +5.195283
T_rise = +0.015260
T_fall = +0.010325
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.865356
logB = -2.175208
t0 = +0.938145
t1 = +22.622017
T_rise = +0.000134
T_fall = +0.000094
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.900039
logB = -2.123293
t0 = +0.935913
t1 = +22.398655
T_rise = +0.000014
T_fall = +0.000366
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629343
logB = -0.619424
t0 = +9.036278
t1 = +19.823151
T_rise = +0.001501
T_fall = +0.010129
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.570282
logB = -0.676463
t0 = +8.979653
t1 = +19.506035
T_rise = +0.001204
T_fall = +0.002495
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.809587
logB = -2.256719
t0 = +0.941499
t1 = +22.959609
T_rise = +0.000583
T_fall = +0.000033
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.349105
logB = -1.237104
t0 = +9.596981
t1 = +54.632379
T_rise = +0.001089
T_fall = +0.008656
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.349105
logB = -1.237104
t0 = +nan
t1 = +54.632379
T_rise = +0.001089
T_fall = +0.008656
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690850
logB = +2.388685
t0 = +13.090003
t1 = +8.789471
T_rise = +0.000000
T_fall = +0.004100
m.migrad()
198 objects fitted
Time taken is 23.73 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
GaussianNB()
Optimised parameters: {}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.127017
logB = -5.151161
t0 = +44.340302
t1 = +14.969244
T_rise = +0.000401
T_fall = +0.039791
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.944769
logB = +1.647982
t0 = +2.016004
t1 = +65.023334
T_rise = +0.000001
T_fall = +0.000615
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.933966
logB = +1.637224
t0 = +2.016059
t1 = +64.773676
T_rise = +0.000004
T_fall = +0.001890
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.237991
logB = +3.934356
t0 = +2.016056
t1 = +67.361062
T_rise = +0.000007
T_fall = +0.000032
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.647095
logB = -2.801786
t0 = +2.016053
t1 = +28.203301
T_rise = +0.000009
T_fall = +0.002346
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.647095
logB = -2.801786
t0 = +2.016053
t1 = +28.203301
T_rise = +0.000009
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.048541
logB = +1.176276
t0 = +2.400444
t1 = +4.093814
T_rise = +0.000416
T_fall = +0.000531
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.603406
logB = -7.074091
t0 = +93.271687
t1 = +53.635598
T_rise = +0.128226
T_fall = +0.024850
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.123703
logB = +0.807803
t0 = +41.944926
t1 = +76.547483
T_rise = +0.000418
T_fall = +0.026355
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.926446
logB = -1.307947
t0 = +4.090104
t1 = +32.820245
T_rise = +0.000176
T_fall = +0.002976
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.701966
logB = -2.811040
t0 = +44.640115
t1 = +0.000012
T_rise = +0.008455
T_fall = +0.023150
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.725952
logB = +0.445036
t0 = +5.005939
t1 = +29.363962
T_rise = +0.000221
T_fall = +0.006859
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.717625
logB = +0.436869
t0 = +5.005952
t1 = +29.325290
T_rise = +0.000216
T_fall = +0.002738
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.718863
logB = +0.438083
t0 = +5.005983
t1 = +29.331107
T_rise = +0.000221
T_fall = +0.003231
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.324548
logB = -11.117936
t0 = +99.493462
t1 = +45.549650
T_rise = +0.045148
T_fall = +0.000581
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.862712
logB = -4.795669
t0 = +18.614680
t1 = +99.979885
T_rise = +0.000109
T_fall = +0.016256
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.010829
logB = -6.648113
t0 = +74.769964
t1 = +93.145635
T_rise = +0.014368
T_fall = +0.033890
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.065305
logB = -1.165932
t0 = +4.042605
t1 = +16.958571
T_rise = +0.000001
T_fall = +0.004089
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.430086
logB = -0.754543
t0 = +4.137132
t1 = +8.255679
T_rise = +0.000019
T_fall = +0.000207
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.430086
logB = -0.754543
t0 = +4.137132
t1 = +8.255679
T_rise = +0.000019
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.909211
logB = -2.109418
t0 = +0.935298
t1 = +22.337825
T_rise = +0.000003
T_fall = +0.000468
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629782
logB = -0.618994
t0 = +9.036407
t1 = +19.825442
T_rise = +0.001526
T_fall = +0.010234
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.569030
logB = -0.677680
t0 = +8.978516
t1 = +19.499577
T_rise = +0.001275
T_fall = +0.002952
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.688619
logB = +2.386463
t0 = +13.090011
t1 = +8.808871
T_rise = +0.000001
T_fall = +0.004716
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.084592
logB = -1.147542
t0 = +4.140778
t1 = +18.718152
T_rise = +0.003892
T_fall = +0.003034
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.812752
logB = -2.252184
t0 = +0.941309
t1 = +22.941318
T_rise = +0.000549
T_fall = +0.000024
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.873787
logB = -2.162660
t0 = +0.937617
t1 = +22.568601
T_rise = +0.000093
T_fall = +0.000144
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.805537
logB = +0.383152
t0 = +1.366856
t1 = +38.441737
T_rise = +0.000118
T_fall = +0.000241
m.migrad()
198 objects fitted
Time taken is 30.64 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
GaussianNB()
Optimised parameters: {}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.794014
logB = +4.301025
t0 = +99.671497
t1 = +3.145126
T_rise = +0.051221
T_fall = +0.002121
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.391434
logB = -3.083585
t0 = +54.213333
t1 = +46.655690
T_rise = +0.076375
T_fall = +0.076741
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.913795
logB = -1.320116
t0 = +4.050720
t1 = +34.097255
T_rise = +0.004245
T_fall = +0.005584
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.912965
logB = -1.320918
t0 = +4.050552
t1 = +34.095844
T_rise = +0.004192
T_fall = +0.005745
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.912965
logB = -1.320918
t0 = +4.050552
t1 = +34.095844
T_rise = +0.004192
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.982172
logB = -8.759638
t0 = +62.522643
t1 = +98.902275
T_rise = +0.001423
T_fall = +0.024070
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.305066
logB = +4.367855
t0 = +10.533272
t1 = +8.137145
T_rise = +0.000484
T_fall = +0.009069
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.469080
logB = +4.579919
t0 = +96.892724
t1 = +1.633081
T_rise = +0.027909
T_fall = +0.118700
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.349258
logB = +3.564844
t0 = +7.372296
t1 = +14.017646
T_rise = +0.001217
T_fall = +0.005287
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.682425
logB = -7.617038
t0 = +24.433596
t1 = +77.626672
T_rise = +0.022393
T_fall = +0.017728
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.929806
logB = +1.633182
t0 = +2.016034
t1 = +65.738706
T_rise = +0.000003
T_fall = +0.000060
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.924875
logB = +1.628274
t0 = +2.016034
t1 = +65.533034
T_rise = +0.000003
T_fall = +0.002669
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.924875
logB = +1.628274
t0 = +2.016034
t1 = +65.533034
T_rise = +0.000003
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.335584
logB = +4.257908
t0 = +38.024588
t1 = +66.343058
T_rise = +0.043377
T_fall = +0.003477
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.885145
logB = +0.613115
t0 = +95.329439
t1 = +30.139870
T_rise = +0.000003
T_fall = +0.013414
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +4.229704
t0 = +46.209858
t1 = +53.391962
T_rise = +61.079901
T_fall = +0.019000
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.155726
logB = +nan
t0 = +46.209858
t1 = +53.391962
T_rise = +61.079901
T_fall = +0.019000
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.155726
logB = +4.229704
t0 = +nan
t1 = +53.391962
T_rise = +61.079901
T_fall = +0.019000
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.155726
logB = +4.229704
t0 = +46.209858
t1 = +nan
T_rise = +61.079901
T_fall = +0.019000
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.155726
logB = +4.229704
t0 = +46.209858
t1 = +53.391962
T_rise = +nan
T_fall = +0.019000
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +4.229704
t0 = +46.209858
t1 = +53.391962
T_rise = +61.079901
T_fall = +0.407196
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.155726
logB = +nan
t0 = +46.209858
t1 = +53.391962
T_rise = +61.079901
T_fall = +0.407196
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.155726
logB = +4.229704
t0 = +nan
t1 = +53.391962
T_rise = +61.079901
T_fall = +0.407196
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.155726
logB = +4.229704
t0 = +46.209858
t1 = +nan
T_rise = +61.079901
T_fall = +0.407196
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.155726
logB = +4.229704
t0 = +46.209858
t1 = +53.391962
T_rise = +nan
T_fall = +0.407196
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.835938
logB = -11.430541
t0 = +76.387148
t1 = +63.305366
T_rise = +0.105543
T_fall = +0.069490
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +4.229704
t0 = +46.209858
t1 = +53.391962
T_rise = +61.079901
T_fall = +0.019000
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.155726
logB = +nan
t0 = +46.209858
t1 = +53.391962
T_rise = +61.079901
T_fall = +0.019000
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.155726
logB = +4.229704
t0 = +nan
t1 = +53.391962
T_rise = +61.079901
T_fall = +0.019000
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.155726
logB = +4.229704
t0 = +46.209858
t1 = +nan
T_rise = +61.079901
T_fall = +0.019000
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.155726
logB = +4.229704
t0 = +46.209858
t1 = +53.391962
T_rise = +nan
T_fall = +0.019000
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +4.229704
t0 = +46.209858
t1 = +53.391962
T_rise = +61.079901
T_fall = +0.407196
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.155726
logB = +nan
t0 = +46.209858
t1 = +53.391962
T_rise = +61.079901
T_fall = +0.407196
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.155726
logB = +4.229704
t0 = +nan
t1 = +53.391962
T_rise = +61.079901
T_fall = +0.407196
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.155726
logB = +4.229704
t0 = +46.209858
t1 = +nan
T_rise = +61.079901
T_fall = +0.407196
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.155726
logB = +4.229704
t0 = +46.209858
t1 = +53.391962
T_rise = +nan
T_fall = +0.407196
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.727552
logB = -0.567503
t0 = +29.418298
t1 = +5.613282
T_rise = +0.020753
T_fall = +0.007048
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.986109
logB = +3.255256
t0 = +33.473344
t1 = +3.638326
T_rise = +0.015976
T_fall = +0.000621
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.145333
logB = -1.107342
t0 = +35.458019
t1 = +58.822493
T_rise = +0.040093
T_fall = +0.032232
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.737423
logB = -8.495406
t0 = +39.169380
t1 = +52.881852
T_rise = +0.000019
T_fall = +0.017058
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.036293
logB = -4.862344
t0 = +57.727362
t1 = +13.439731
T_rise = +0.008899
T_fall = +0.038967
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.024109
logB = +2.705869
t0 = +4.137008
t1 = +4.059974
T_rise = +0.000000
T_fall = +0.005283
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.240305
logB = +2.920692
t0 = +26.668579
t1 = +2.839481
T_rise = +0.000023
T_fall = +0.002100
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.240305
logB = +2.920692
t0 = +26.668579
t1 = +2.839481
T_rise = +0.000023
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.272847
logB = -1.275801
t0 = +98.101385
t1 = +15.002596
T_rise = +0.000002
T_fall = +0.002937
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.275749
logB = -0.960088
t0 = +12.020217
t1 = +25.162715
T_rise = +0.000651
T_fall = +0.002399
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.893243
logB = -2.133511
t0 = +0.936367
t1 = +22.443052
T_rise = +0.000028
T_fall = +0.000298
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.353543
logB = +1.533351
t0 = +85.963148
t1 = +9.770676
T_rise = +0.025112
T_fall = +0.090159
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.521804
logB = -4.600730
t0 = +72.679622
t1 = +55.569646
T_rise = +0.044287
T_fall = +0.042381
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.838456
logB = -2.214851
t0 = +0.939789
t1 = +22.788216
T_rise = +0.000311
T_fall = +0.000005
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.979097
logB = -0.285116
t0 = +12.022989
t1 = +32.337405
T_rise = +0.000151
T_fall = +0.013797
m.migrad()
198 objects fitted
Time taken is 36.86 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
GaussianNB()
Optimised parameters: {}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.807234
logB = -2.639987
t0 = +25.333518
t1 = +43.311751
T_rise = +0.000040
T_fall = +0.007825
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.705183
logB = -4.684988
t0 = +53.695373
t1 = +26.603132
T_rise = +0.004605
T_fall = +0.014116
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.846697
logB = +4.160371
t0 = +98.724353
t1 = +0.023152
T_rise = +0.000441
T_fall = +0.018074
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.414349
logB = -0.268742
t0 = +67.321535
t1 = +7.394534
T_rise = +0.093931
T_fall = +0.093673
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.322106
logB = -1.883473
t0 = +4.074345
t1 = +15.973239
T_rise = +0.004028
T_fall = +0.003966
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.304681
logB = +1.018827
t0 = +5.009732
t1 = +5.287561
T_rise = +0.000647
T_fall = +0.000140
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.304681
logB = +1.018827
t0 = +5.009732
t1 = +5.287561
T_rise = +0.000647
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.756626
logB = +2.014685
t0 = +93.200905
t1 = +99.458218
T_rise = +0.010599
T_fall = +0.012625
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.845944
logB = +0.583909
t0 = +5.007804
t1 = +30.151600
T_rise = +0.000424
T_fall = +0.007144
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.702547
logB = +0.422058
t0 = +5.021037
t1 = +29.354470
T_rise = +0.000051
T_fall = +0.000329
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690989
logB = +2.388843
t0 = +13.090002
t1 = +8.787815
T_rise = +0.000004
T_fall = +0.004076
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.508565
logB = -9.568234
t0 = +63.093339
t1 = +86.783191
T_rise = +0.033122
T_fall = +0.016151
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.887383
logB = +2.582925
t0 = +74.509734
t1 = +4.706672
T_rise = +0.000000
T_fall = +0.002913
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -3.833663
t0 = +68.674775
t1 = +41.239726
T_rise = +92.701989
T_fall = +0.170218
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.982727
logB = +nan
t0 = +68.674775
t1 = +41.239726
T_rise = +92.701989
T_fall = +0.170218
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.982727
logB = -3.833663
t0 = +nan
t1 = +41.239726
T_rise = +92.701989
T_fall = +0.170218
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.982727
logB = -3.833663
t0 = +68.674775
t1 = +nan
T_rise = +92.701989
T_fall = +0.170218
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.982727
logB = -3.833663
t0 = +68.674775
t1 = +41.239726
T_rise = +nan
T_fall = +0.170218
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.982727
logB = -3.833663
t0 = +68.674775
t1 = +41.239726
T_rise = +92.701989
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.915516
logB = -2.099874
t0 = +0.934862
t1 = +22.295810
T_rise = +0.000000
T_fall = +0.000546
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.504841
logB = -1.145518
t0 = +82.619938
t1 = +17.019854
T_rise = +0.000026
T_fall = +0.044613
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.630072
logB = -0.618712
t0 = +9.036498
t1 = +19.826952
T_rise = +0.001543
T_fall = +0.010306
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.568182
logB = -0.678506
t0 = +8.977757
t1 = +19.495214
T_rise = +0.001323
T_fall = +0.003278
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.873707
logB = -2.162815
t0 = +0.937615
t1 = +22.569384
T_rise = +0.000094
T_fall = +0.000144
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.180350
logB = -1.051475
t0 = +12.354650
t1 = +19.108231
T_rise = +0.000050
T_fall = +0.000614
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.790900
logB = -2.283507
t0 = +0.942571
t1 = +23.067408
T_rise = +0.000803
T_fall = +0.000121
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690495
logB = +2.388335
t0 = +13.090003
t1 = +8.792498
T_rise = +0.000000
T_fall = +0.004196
m.migrad()
198 objects fitted
Time taken is 34.42 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
GaussianNB()
Optimised parameters: {}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.164121
logB = +1.072855
t0 = +55.474349
t1 = +73.621664
T_rise = +0.000088
T_fall = +0.005992
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.769096
logB = +4.604397
t0 = +10.764606
t1 = +7.613020
T_rise = +0.000457
T_fall = +0.007541
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.622886
logB = +4.593051
t0 = +28.933218
t1 = +54.744585
T_rise = +0.023062
T_fall = +0.013895
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.225969
logB = -4.988133
t0 = +76.463707
t1 = +76.277291
T_rise = +0.033047
T_fall = +0.002325
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.203025
logB = +1.947511
t0 = +87.264635
t1 = +67.085702
T_rise = +0.000317
T_fall = +0.001987
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.945956
logB = +3.587799
t0 = +5.004003
t1 = +8.395023
T_rise = +0.000288
T_fall = +0.002626
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.053030
logB = +0.763385
t0 = +99.767992
t1 = +98.595070
T_rise = +0.000317
T_fall = +0.073266
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.982759
logB = +0.705083
t0 = +2.016014
t1 = +45.112262
T_rise = +0.000002
T_fall = +0.001159
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.977386
logB = +0.699878
t0 = +2.016014
t1 = +45.052617
T_rise = +0.000002
T_fall = +0.000007
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.173617
logB = +3.836589
t0 = +5.013205
t1 = +11.255381
T_rise = +0.000371
T_fall = +0.000051
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.942140
logB = +1.645354
t0 = +2.016005
t1 = +64.781426
T_rise = +0.000001
T_fall = +0.000342
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.964161
logB = +3.641075
t0 = +5.083898
t1 = +15.125954
T_rise = +0.002132
T_fall = +0.001834
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.719836
logB = +0.438988
t0 = +5.004243
t1 = +29.050308
T_rise = +0.000000
T_fall = +0.000522
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.828821
logB = +0.546689
t0 = +5.005579
t1 = +29.046683
T_rise = +0.000201
T_fall = +0.000712
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.828821
logB = +0.546689
t0 = +5.005579
t1 = +29.046683
T_rise = +0.000201
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690612
logB = +2.388446
t0 = +13.090003
t1 = +8.791595
T_rise = +0.000000
T_fall = +0.004165
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.906584
logB = -2.113460
t0 = +0.935463
t1 = +22.355823
T_rise = +0.000005
T_fall = +0.000439
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.849772
logB = -2.198252
t0 = +0.939103
t1 = +22.719116
T_rise = +0.000228
T_fall = +0.000029
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.424681
logB = -3.234051
t0 = +0.053938
t1 = +4.340154
T_rise = +0.000057
T_fall = +0.000065
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.424681
logB = -3.234051
t0 = +nan
t1 = +4.340154
T_rise = +0.000057
T_fall = +0.000065
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.424681
logB = -3.234051
t0 = +0.042565
t1 = +4.340154
T_rise = +0.000057
T_fall = +0.000012
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.424681
logB = -3.234051
t0 = +0.042565
t1 = +4.340154
T_rise = +0.000057
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629656
logB = -0.619118
t0 = +9.036369
t1 = +19.824781
T_rise = +0.001519
T_fall = +0.010203
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.569393
logB = -0.677327
t0 = +8.978845
t1 = +19.501448
T_rise = +0.001254
T_fall = +0.002816
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.713175
logB = +1.415818
t0 = +7.801175
t1 = +30.552370
T_rise = +0.007503
T_fall = +0.001112
m.migrad()
198 objects fitted
Time taken is 32.00 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
GaussianNB()
Optimised parameters: {}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.386276
logB = -0.817415
t0 = +69.052613
t1 = +8.241392
T_rise = +0.046433
T_fall = +0.011825
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.899368
logB = -1.333903
t0 = +4.036724
t1 = +33.687341
T_rise = +0.000001
T_fall = +0.005155
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.545030
logB = +2.204056
t0 = +44.119976
t1 = +71.045557
T_rise = +0.001864
T_fall = +0.014392
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.174046
logB = -4.866305
t0 = +4.144675
t1 = +0.025933
T_rise = +0.004511
T_fall = +0.000147
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.174046
logB = -4.866305
t0 = +4.144675
t1 = +0.025933
T_rise = +0.004511
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.916373
logB = +1.623846
t0 = +78.117954
t1 = +65.590717
T_rise = +0.070786
T_fall = +0.008873
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.705512
logB = +0.424946
t0 = +5.025978
t1 = +28.966649
T_rise = +0.000571
T_fall = +0.001032
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.718146
logB = +0.437338
t0 = +5.029985
t1 = +29.027924
T_rise = +0.001318
T_fall = +0.000206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.747070
logB = +4.573571
t0 = +47.534193
t1 = +0.019308
T_rise = +0.019050
T_fall = +0.000782
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.954547
logB = -6.540691
t0 = +49.535689
t1 = +33.507678
T_rise = +0.001930
T_fall = +0.039660
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.966315
logB = +0.326668
t0 = +93.119567
t1 = +12.748626
T_rise = +0.080365
T_fall = +0.093843
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.920101
logB = +0.308505
t0 = +93.082988
t1 = +12.866264
T_rise = +0.062138
T_fall = +0.075458
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.728443
logB = +0.447437
t0 = +5.025133
t1 = +29.439283
T_rise = +0.000284
T_fall = +0.004247
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.460324
logB = +1.782199
t0 = +50.147420
t1 = +98.473200
T_rise = +0.021814
T_fall = +0.000996
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.158349
logB = -6.106662
t0 = +45.477032
t1 = +18.025353
T_rise = +0.000358
T_fall = +0.000982
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.820591
logB = -2.240843
t0 = +0.940853
t1 = +22.895096
T_rise = +0.000469
T_fall = +0.000007
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.391765
logB = +1.199891
t0 = +23.503082
t1 = +27.236480
T_rise = +0.020870
T_fall = +0.009359
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.896411
logB = -2.128756
t0 = +0.936155
t1 = +22.422438
T_rise = +0.000020
T_fall = +0.000329
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629165
logB = -0.619596
t0 = +9.036228
t1 = +19.822229
T_rise = +0.001491
T_fall = +0.010088
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.570774
logB = -0.675984
t0 = +8.980106
t1 = +19.508583
T_rise = +0.001177
T_fall = +0.002324
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.898123
logB = +2.593608
t0 = +98.165728
t1 = +4.639384
T_rise = +0.000000
T_fall = +0.028864
m.migrad()
198 objects fitted
Time taken is 25.36 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
GaussianNB()
Optimised parameters: {}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.534220
logB = -1.536812
t0 = +64.593488
t1 = +10.006986
T_rise = +0.019587
T_fall = +0.010832
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.805059
logB = -9.947237
t0 = +56.754864
t1 = +0.208087
T_rise = +0.004349
T_fall = +0.038973
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.740182
logB = -2.158134
t0 = +25.955008
t1 = +0.544356
T_rise = +0.000219
T_fall = +0.006189
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.842507
logB = +0.561198
t0 = +5.031291
t1 = +5.059351
T_rise = +0.000080
T_fall = +0.006316
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.842507
logB = +0.561198
t0 = +5.031291
t1 = +5.059351
T_rise = +0.000080
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.640490
logB = +4.098225
t0 = +31.243151
t1 = +0.000632
T_rise = +0.029618
T_fall = +0.032113
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.914465
logB = +2.816098
t0 = +99.983703
t1 = +98.371169
T_rise = +0.000760
T_fall = +0.044219
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -5.633546
t0 = +40.623309
t1 = +32.792974
T_rise = +45.487407
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = +nan
t0 = +40.623309
t1 = +32.792974
T_rise = +45.487407
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = -5.633546
t0 = +nan
t1 = +32.792974
T_rise = +45.487407
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = -5.633546
t0 = +40.623309
t1 = +nan
T_rise = +45.487407
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -5.633546
t0 = +40.623309
t1 = +32.792974
T_rise = +45.487407
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = +nan
t0 = +40.623309
t1 = +32.792974
T_rise = +45.487407
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = -5.633546
t0 = +40.623309
t1 = +32.792974
T_rise = +nan
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = -5.633546
t0 = +nan
t1 = +32.792974
T_rise = +45.487407
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = -5.633546
t0 = +40.623309
t1 = +nan
T_rise = +45.487407
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = -5.633546
t0 = +40.623309
t1 = +32.792974
T_rise = +45.487407
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = -5.633546
t0 = +40.623309
t1 = +32.792974
T_rise = +nan
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = -5.633546
t0 = +40.623309
t1 = +32.792974
T_rise = +45.487407
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.642965
logB = -3.444584
t0 = +90.459722
t1 = +0.683383
T_rise = +0.001031
T_fall = +0.110197
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -5.633546
t0 = +40.623309
t1 = +32.792974
T_rise = +45.487407
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = +nan
t0 = +40.623309
t1 = +32.792974
T_rise = +45.487407
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = -5.633546
t0 = +nan
t1 = +32.792974
T_rise = +45.487407
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = -5.633546
t0 = +40.623309
t1 = +nan
T_rise = +45.487407
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = -5.633546
t0 = +40.623309
t1 = +32.792974
T_rise = +nan
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = -5.633546
t0 = +40.623309
t1 = +32.792974
T_rise = +45.487407
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.810958
logB = +3.435645
t0 = +85.128233
t1 = +20.150613
T_rise = +0.072847
T_fall = +0.078503
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.968778
logB = -10.780408
t0 = +10.474406
t1 = +17.344646
T_rise = +0.010658
T_fall = +0.001061
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.869187
logB = -7.558550
t0 = +4.793502
t1 = +40.623467
T_rise = +0.003296
T_fall = +0.005657
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -5.633546
t0 = +40.623309
t1 = +32.792974
T_rise = +45.487407
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = +nan
t0 = +40.623309
t1 = +32.792974
T_rise = +45.487407
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = -5.633546
t0 = +nan
t1 = +32.792974
T_rise = +45.487407
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = -5.633546
t0 = +40.623309
t1 = +nan
T_rise = +45.487407
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = -5.633546
t0 = +40.623309
t1 = +32.792974
T_rise = +nan
T_fall = +0.097954
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.570708
logB = -5.633546
t0 = +40.623309
t1 = +32.792974
T_rise = +45.487407
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.893306
logB = -1.339342
t0 = +4.090093
t1 = +24.545123
T_rise = +0.000432
T_fall = +0.000710
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.848942
logB = -1.382192
t0 = +4.090093
t1 = +24.364073
T_rise = +0.000443
T_fall = +0.002059
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.139245
logB = -4.230999
t0 = +63.218012
t1 = +99.627091
T_rise = +0.003109
T_fall = +0.026931
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.334581
logB = -2.618005
t0 = +1.218765
t1 = +55.981549
T_rise = +0.000925
T_fall = +0.000020
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.334581
logB = -2.618005
t0 = +1.218765
t1 = +55.981549
T_rise = +0.000925
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.049764
logB = -11.509825
t0 = +25.761705
t1 = +33.002258
T_rise = +0.001660
T_fall = +0.025113
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.049764
logB = -11.509825
t0 = +25.761705
t1 = +33.002258
T_rise = +0.001660
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.018357
logB = -8.955109
t0 = +95.878591
t1 = +41.234885
T_rise = +0.122795
T_fall = +0.000270
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.592645
logB = -4.997312
t0 = +66.319749
t1 = +0.387820
T_rise = +0.028984
T_fall = +0.029955
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.567508
logB = -4.944510
t0 = +66.374883
t1 = +0.829590
T_rise = +0.056009
T_fall = +0.056886
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.846068
logB = -1.246718
t0 = +66.870706
t1 = +7.681039
T_rise = +0.062296
T_fall = +0.062146
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.139371
logB = +4.568508
t0 = +66.593962
t1 = +85.176505
T_rise = +0.089696
T_fall = +0.090339
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.186410
logB = +4.574061
t0 = +66.594357
t1 = +85.487219
T_rise = +0.085686
T_fall = +0.086252
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.593229
logB = -4.559777
t0 = +66.834150
t1 = +66.897118
T_rise = +0.081430
T_fall = +0.079496
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.567019
logB = -4.513443
t0 = +66.798787
t1 = +66.830575
T_rise = +0.082715
T_fall = +0.080894
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.969256
logB = -5.373265
t0 = +69.635772
t1 = +76.665205
T_rise = +0.097269
T_fall = +0.087696
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.903049
logB = +0.967243
t0 = +66.698651
t1 = +11.197857
T_rise = +0.067212
T_fall = +0.066998
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.916839
logB = +1.043940
t0 = +66.662265
t1 = +10.971294
T_rise = +0.085438
T_fall = +0.085112
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.428463
logB = +4.565005
t0 = +66.309495
t1 = +5.974779
T_rise = +0.028052
T_fall = +0.028549
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.448510
logB = +4.566515
t0 = +66.339396
t1 = +6.090687
T_rise = +0.035423
T_fall = +0.035883
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.827834
logB = +2.028768
t0 = +66.631893
t1 = +10.819276
T_rise = +0.086366
T_fall = +0.086119
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.316981
logB = -7.961365
t0 = +66.622353
t1 = +83.911719
T_rise = +0.083097
T_fall = +0.083362
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.316024
logB = -7.856902
t0 = +66.621221
t1 = +83.550189
T_rise = +0.079959
T_fall = +0.080226
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.704591
logB = -3.934216
t0 = +66.600608
t1 = +71.997976
T_rise = +0.005195
T_fall = +0.003258
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.823826
logB = -5.699985
t0 = +66.782912
t1 = +74.728729
T_rise = +0.071503
T_fall = +0.093804
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.950578
logB = -5.521042
t0 = +61.906237
t1 = +74.016222
T_rise = +0.072868
T_fall = +0.069226
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.200577
logB = -7.480983
t0 = +50.166580
t1 = +27.338435
T_rise = +0.000983
T_fall = +0.002028
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.447703
logB = -6.646663
t0 = +30.681858
t1 = +97.051812
T_rise = +0.001356
T_fall = +0.042721
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.197092
logB = +0.532397
t0 = +0.771140
t1 = +9.575576
T_rise = +0.000004
T_fall = +0.000001
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.855477
logB = +0.716287
t0 = +59.825844
t1 = +69.636121
T_rise = +0.038261
T_fall = +0.062593
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.679502
logB = +2.444987
t0 = +66.449704
t1 = +0.508552
T_rise = +0.003385
T_fall = +0.004099
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.895244
logB = -1.337519
t0 = +4.092972
t1 = +32.859374
T_rise = +0.003020
T_fall = +0.000176
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.923569
logB = -1.310159
t0 = +4.094617
t1 = +32.920889
T_rise = +0.002090
T_fall = +0.001008
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.172084
logB = -4.044829
t0 = +93.282957
t1 = +21.889158
T_rise = +0.040838
T_fall = +0.040817
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.362407
logB = -1.845171
t0 = +4.088959
t1 = +15.155246
T_rise = +0.004954
T_fall = +0.002289
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.944306
logB = +1.647524
t0 = +2.016004
t1 = +65.022773
T_rise = +0.000000
T_fall = +0.000505
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.379170
logB = -1.974469
t0 = +36.160773
t1 = +18.901167
T_rise = +0.005881
T_fall = +0.010439
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.911431
logB = +4.395575
t0 = +77.750916
t1 = +70.223254
T_rise = +0.022884
T_fall = +0.101460
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.775812
logB = -0.578612
t0 = +28.368054
t1 = +38.768996
T_rise = +0.004421
T_fall = +0.021972
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.933122
logB = +1.630945
t0 = +5.550458
t1 = +4.400296
T_rise = +0.000145
T_fall = +0.000483
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.354240
logB = -10.491932
t0 = +33.548868
t1 = +95.062609
T_rise = +0.014688
T_fall = +0.000975
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.485049
logB = -4.975798
t0 = +58.403218
t1 = +61.088006
T_rise = +0.012652
T_fall = +0.004257
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.576532
logB = -9.853636
t0 = +17.917667
t1 = +99.999966
T_rise = +0.007374
T_fall = +0.004972
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.841936
logB = +2.213654
t0 = +79.631160
t1 = +61.886057
T_rise = +0.092066
T_fall = +0.092509
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.763729
logB = +4.268667
t0 = +2.041357
t1 = +5.252108
T_rise = +0.000440
T_fall = +0.000008
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.907509
logB = -1.427944
t0 = +2.043425
t1 = +4.208584
T_rise = +0.000351
T_fall = +0.000137
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.907509
logB = -1.427944
t0 = +2.043425
t1 = +4.208584
T_rise = +0.000351
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.326516
logB = -5.836498
t0 = +69.967319
t1 = +7.024764
T_rise = +0.061671
T_fall = +0.009865
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.511240
logB = +3.141795
t0 = +93.459538
t1 = +77.673535
T_rise = +0.097858
T_fall = +0.076927
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.930055
logB = -10.662425
t0 = +98.977873
t1 = +1.491489
T_rise = +0.086340
T_fall = +0.062827
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.335357
logB = -7.682108
t0 = +37.503944
t1 = +36.920949
T_rise = +0.000004
T_fall = +0.047703
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.693813
logB = -7.098248
t0 = +65.794866
t1 = +3.760267
T_rise = +0.002602
T_fall = +0.004299
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.345760
logB = -7.740640
t0 = +3.788920
t1 = +2.413635
T_rise = +0.000100
T_fall = +0.004531
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.345760
logB = -7.740640
t0 = +3.788920
t1 = +2.413635
T_rise = +0.000100
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.111126
logB = -11.506824
t0 = +57.386536
t1 = +59.517440
T_rise = +0.041635
T_fall = +0.004536
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.940053
logB = +0.359060
t0 = +96.496101
t1 = +73.333382
T_rise = +0.115450
T_fall = +0.054324
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.337305
logB = -10.799402
t0 = +59.748943
t1 = +47.924772
T_rise = +0.036183
T_fall = +0.072271
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.907201
logB = -3.223086
t0 = +12.581187
t1 = +60.515583
T_rise = +0.000127
T_fall = +0.000196
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.271807
logB = -4.269205
t0 = +39.436399
t1 = +56.808890
T_rise = +0.015768
T_fall = +0.000007
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.763744
logB = -4.749076
t0 = +38.704697
t1 = +56.493067
T_rise = +0.020388
T_fall = +0.013738
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.756028
logB = -2.707126
t0 = +59.532257
t1 = +14.821247
T_rise = +0.072812
T_fall = +0.072762
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -9.995145
logB = -1.372253
t0 = +56.839997
t1 = +81.452103
T_rise = +0.075808
T_fall = +0.066992
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.557541
logB = -1.104583
t0 = +59.456439
t1 = +62.843091
T_rise = +0.080237
T_fall = +0.080409
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.145838
logB = +1.723901
t0 = +1.893379
t1 = +99.817839
T_rise = +0.002489
T_fall = +0.000660
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.873694
logB = -2.918704
t0 = +96.396722
t1 = +3.111286
T_rise = +0.004010
T_fall = +0.000283
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.787740
logB = -8.523574
t0 = +69.728450
t1 = +87.867606
T_rise = +0.004551
T_fall = +0.002261
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.910270
logB = -4.113957
t0 = +71.457556
t1 = +66.578931
T_rise = +0.098899
T_fall = +0.099367
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.533668
logB = -4.362465
t0 = +76.423906
t1 = +2.295373
T_rise = +0.044359
T_fall = +0.022192
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.196875
logB = -0.586606
t0 = +99.996614
t1 = +1.042420
T_rise = +0.008942
T_fall = +0.027245
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.506354
logB = -3.707483
t0 = +98.293931
t1 = +8.682435
T_rise = +0.000116
T_fall = +0.033389
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.808215
logB = -9.714732
t0 = +62.981398
t1 = +30.515456
T_rise = +0.000615
T_fall = +0.002948
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.471959
logB = -10.695798
t0 = +99.624254
t1 = +12.671712
T_rise = +0.006356
T_fall = +0.013417
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.545091
logB = +4.386140
t0 = +15.985891
t1 = +76.910264
T_rise = +0.006702
T_fall = +0.010311
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.288805
logB = +1.271662
t0 = +97.915115
t1 = +99.218173
T_rise = +0.025013
T_fall = +0.026081
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.156894
logB = -3.081134
t0 = +5.039912
t1 = +98.874716
T_rise = +0.001517
T_fall = +0.001430
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.396928
logB = +1.886852
t0 = +95.598071
t1 = +93.172778
T_rise = +0.035359
T_fall = +0.033020
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.317459
logB = -11.207610
t0 = +94.767093
t1 = +88.427475
T_rise = +0.037415
T_fall = +0.094206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.467003
logB = +2.018235
t0 = +39.351311
t1 = +6.732643
T_rise = +0.011588
T_fall = +0.003688
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.331549
logB = -10.264933
t0 = +73.066616
t1 = +1.314939
T_rise = +0.087632
T_fall = +0.075839
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.391776
logB = -0.821439
t0 = +70.319099
t1 = +96.181554
T_rise = +0.000848
T_fall = +0.099070
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.057093
logB = +0.002983
t0 = +74.635100
t1 = +0.129413
T_rise = +0.038283
T_fall = +0.000394
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.887681
logB = +2.369070
t0 = +94.377763
t1 = +0.000033
T_rise = +0.008421
T_fall = +0.001497
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.809048
logB = +0.079595
t0 = +38.789326
t1 = +99.867247
T_rise = +0.007607
T_fall = +0.016417
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.135727
logB = +4.348558
t0 = +57.393086
t1 = +91.398279
T_rise = +0.040176
T_fall = +0.006736
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.930300
logB = -1.790680
t0 = +94.245326
t1 = +40.628230
T_rise = +0.052209
T_fall = +0.000359
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.819032
logB = +1.456328
t0 = +57.733292
t1 = +85.629698
T_rise = +0.053084
T_fall = +0.015166
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.833144
logB = +0.547425
t0 = +93.681110
t1 = +5.068501
T_rise = +0.053523
T_fall = +0.086541
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.410086
logB = -8.561586
t0 = +52.430518
t1 = +1.948696
T_rise = +0.071304
T_fall = +0.030635
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.537336
logB = -9.196910
t0 = +53.880880
t1 = +66.689275
T_rise = +0.037608
T_fall = +0.042498
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.287944
logB = +0.034145
t0 = +83.463448
t1 = +83.371516
T_rise = +0.001498
T_fall = +0.093234
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.781054
logB = -0.646418
t0 = +46.250090
t1 = +41.812763
T_rise = +0.027950
T_fall = +0.029420
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.981760
logB = -9.679055
t0 = +95.436901
t1 = +95.779333
T_rise = +0.117409
T_fall = +0.014501
m.migrad()
198 objects fitted
Time taken is 1.74 minutes
Fitting supernova models...
Models fitted.
Created classifier of type:
SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',
max_iter=-1, probability=True, random_state=None, shrinking=True,
tol=0.001, verbose=False)
Optimised parameters: {'C': 100000.0, 'gamma': 0.0031622776601683794}
WARNING: Upper boundary on parameter C may be too low. Optimum may not have been reached.
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.797545
logB = +4.479964
t0 = +38.357636
t1 = +72.373977
T_rise = +0.008908
T_fall = +0.008553
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.336669
logB = +2.094021
t0 = +27.457292
t1 = +12.299085
T_rise = +0.025949
T_fall = +0.005191
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.447328
logB = -9.113747
t0 = +0.725396
t1 = +10.013857
T_rise = +0.000636
T_fall = +0.000008
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -9.236133
logB = +3.600254
t0 = +66.596273
t1 = +7.963700
T_rise = +0.084750
T_fall = +0.084566
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.386711
logB = -9.036002
t0 = +44.136081
t1 = +87.629687
T_rise = +0.030517
T_fall = +0.035569
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.503606
logB = +4.191747
t0 = +42.543287
t1 = +82.490267
T_rise = +0.000284
T_fall = +0.023039
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.651123
logB = +3.103920
t0 = +20.874428
t1 = +93.115112
T_rise = +0.001099
T_fall = +0.000141
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.764808
logB = -7.273650
t0 = +36.733370
t1 = +6.137860
T_rise = +0.001726
T_fall = +0.014173
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -9.818945
logB = -6.836795
t0 = +99.979023
t1 = +36.837919
T_rise = +0.101392
T_fall = +0.005747
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.879899
logB = -1.314499
t0 = +97.522858
t1 = +8.273487
T_rise = +0.000256
T_fall = +0.127404
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.789570
logB = -2.953921
t0 = +4.126311
t1 = +78.564015
T_rise = +0.002138
T_fall = +0.004916
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.789570
logB = -2.953921
t0 = +4.126311
t1 = +78.564015
T_rise = +0.002138
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.370178
logB = +0.383339
t0 = +98.038992
t1 = +10.276959
T_rise = +0.009607
T_fall = +0.031337
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.411915
logB = -7.697370
t0 = +18.848692
t1 = +59.262443
T_rise = +0.014064
T_fall = +0.003826
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.968355
logB = -9.405118
t0 = +58.249278
t1 = +1.668640
T_rise = +0.008040
T_fall = +0.000105
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.046851
logB = -2.917338
t0 = +96.732889
t1 = +0.000009
T_rise = +0.135786
T_fall = +0.134218
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.847680
logB = +0.717658
t0 = +6.461953
t1 = +19.421722
T_rise = +0.001570
T_fall = +0.000001
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.738778
logB = +0.457569
t0 = +5.008234
t1 = +29.205140
T_rise = +0.000465
T_fall = +0.006947
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.505968
logB = +1.215094
t0 = +5.008123
t1 = +3.813602
T_rise = +0.000495
T_fall = +0.006178
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.505968
logB = +1.215094
t0 = +5.008123
t1 = +3.813602
T_rise = +0.000495
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.954520
logB = +1.036078
t0 = +98.485621
t1 = +10.697102
T_rise = +0.041730
T_fall = +0.022562
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.065157
logB = -6.072435
t0 = +70.062894
t1 = +74.151769
T_rise = +0.016245
T_fall = +0.006956
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -9.991519
logB = +3.495433
t0 = +27.907248
t1 = +26.012871
T_rise = +0.008479
T_fall = +0.020526
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.330284
logB = +2.263013
t0 = +70.936825
t1 = +94.612925
T_rise = +0.000000
T_fall = +0.100959
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.499413
logB = -4.058375
t0 = +26.182444
t1 = +4.451552
T_rise = +0.018861
T_fall = +0.018889
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.755861
logB = +2.055293
t0 = +97.304693
t1 = +99.407282
T_rise = +0.020192
T_fall = +0.034836
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.850703
logB = -10.090766
t0 = +87.621443
t1 = +77.161820
T_rise = +0.003742
T_fall = +0.000334
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.459838
logB = -1.983367
t0 = +25.187666
t1 = +72.833230
T_rise = +0.007216
T_fall = +0.001473
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.454156
logB = -1.988706
t0 = +25.202060
t1 = +72.692792
T_rise = +0.000435
T_fall = +0.026139
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.736663
logB = +0.455470
t0 = +5.004481
t1 = +29.606628
T_rise = +0.000051
T_fall = +0.005743
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.739585
logB = +0.458336
t0 = +5.004481
t1 = +29.619796
T_rise = +0.000053
T_fall = +0.006064
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.739585
logB = +0.458336
t0 = +5.004481
t1 = +29.619796
T_rise = +0.000053
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.886312
logB = -1.500921
t0 = +69.812411
t1 = +1.208259
T_rise = +0.001548
T_fall = +0.046341
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.092592
logB = +1.101207
t0 = +54.394828
t1 = +72.762281
T_rise = +0.000001
T_fall = +0.007380
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.472122
logB = -11.118334
t0 = +88.908771
t1 = +76.474950
T_rise = +0.023060
T_fall = +0.024236
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.588099
logB = -8.654234
t0 = +63.326370
t1 = +0.187025
T_rise = +0.000958
T_fall = +0.004201
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.806396
logB = -6.583705
t0 = +58.158676
t1 = +0.000869
T_rise = +0.075723
T_fall = +0.069901
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.417392
logB = +1.272092
t0 = +92.898494
t1 = +57.190611
T_rise = +0.000957
T_fall = +0.066753
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.318506
logB = -0.924760
t0 = +91.993630
t1 = +21.514186
T_rise = +0.002758
T_fall = +0.055450
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.527982
logB = +4.086322
t0 = +6.541718
t1 = +90.939352
T_rise = +0.000516
T_fall = +0.003152
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.066703
logB = -1.164720
t0 = +4.133569
t1 = +18.464759
T_rise = +0.001003
T_fall = +0.004888
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.935241
logB = -1.322352
t0 = +95.157177
t1 = +98.012500
T_rise = +0.120230
T_fall = +0.068094
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.745505
logB = +2.443111
t0 = +13.090022
t1 = +8.319453
T_rise = +0.000001
T_fall = +0.002470
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.083417
logB = -1.148684
t0 = +4.107524
t1 = +18.753956
T_rise = +0.002776
T_fall = +0.003769
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690695
logB = +2.388532
t0 = +13.090004
t1 = +8.790790
T_rise = +0.000000
T_fall = +0.004145
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.320813
logB = +1.999769
t0 = +26.027020
t1 = +26.555343
T_rise = +0.000242
T_fall = +0.021505
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.058621
logB = +2.357019
t0 = +90.609600
t1 = +99.936991
T_rise = +0.015338
T_fall = +0.104136
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.169370
logB = -1.256830
t0 = +39.849081
t1 = +62.932211
T_rise = +0.051339
T_fall = +0.008818
m.migrad()
198 objects fitted
Time taken is 45.47 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',
max_iter=-1, probability=True, random_state=None, shrinking=True,
tol=0.001, verbose=False)
Optimised parameters: {'C': 31.622776601683793, 'gamma': 0.0031622776601683794}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.626119
logB = -9.396600
t0 = +99.833773
t1 = +74.321925
T_rise = +0.000188
T_fall = +0.016982
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.142306
logB = -9.853764
t0 = +52.503726
t1 = +22.838627
T_rise = +0.038968
T_fall = +0.039453
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.139505
logB = +0.057855
t0 = +66.393442
t1 = +22.885727
T_rise = +0.012448
T_fall = +0.000057
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.615180
logB = -1.604803
t0 = +4.088500
t1 = +18.720095
T_rise = +0.002859
T_fall = +0.000073
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.745201
logB = -1.480859
t0 = +92.467338
t1 = +19.546719
T_rise = +0.000000
T_fall = +0.026694
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.841106
logB = -11.512925
t0 = +70.821914
t1 = +86.693484
T_rise = +0.092934
T_fall = +0.002316
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.841106
logB = -11.512925
t0 = +70.821914
t1 = +86.693484
T_rise = +0.092934
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.717189
logB = +0.452265
t0 = +58.768895
t1 = +58.926161
T_rise = +0.000006
T_fall = +0.000144
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.216293
logB = +1.314104
t0 = +72.287049
t1 = +77.458463
T_rise = +0.000001
T_fall = +0.012556
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.478530
logB = -1.742222
t0 = +16.389493
t1 = +58.496437
T_rise = +0.018934
T_fall = +0.000607
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.274586
logB = -1.941796
t0 = +4.098978
t1 = +45.472296
T_rise = +0.000640
T_fall = +0.003055
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.274586
logB = -1.941796
t0 = +4.098978
t1 = +45.472296
T_rise = +0.000640
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.853218
logB = -1.378284
t0 = +4.071097
t1 = +31.210238
T_rise = +0.002815
T_fall = +0.003006
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.931210
logB = -1.302970
t0 = +4.085249
t1 = +31.432566
T_rise = +0.002280
T_fall = +0.004310
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.960367
logB = -1.275180
t0 = +4.094674
t1 = +32.882676
T_rise = +0.001545
T_fall = +0.000006
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.496530
logB = -1.718281
t0 = +3.958537
t1 = +25.300439
T_rise = +0.003599
T_fall = +0.003353
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.920647
logB = -2.944126
t0 = +72.679334
t1 = +0.609981
T_rise = +0.005287
T_fall = +0.061041
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.325279
logB = +4.198536
t0 = +53.969287
t1 = +42.860455
T_rise = +0.074254
T_fall = +0.074063
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.394572
logB = -2.304048
t0 = +47.899793
t1 = +8.166234
T_rise = +0.004890
T_fall = +0.009140
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.596982
logB = -4.391112
t0 = +46.482702
t1 = +10.026745
T_rise = +0.016162
T_fall = +0.000515
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.632155
logB = -4.436171
t0 = +96.682677
t1 = +79.380831
T_rise = +0.000685
T_fall = +0.050691
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.290812
logB = +2.576765
t0 = +38.533649
t1 = +49.170660
T_rise = +0.000765
T_fall = +0.029409
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.984247
logB = -4.168126
t0 = +74.867827
t1 = +90.824935
T_rise = +0.029449
T_fall = +0.003679
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.073454
logB = -10.869806
t0 = +73.630523
t1 = +21.114161
T_rise = +0.031039
T_fall = +0.004578
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.943491
logB = -8.167764
t0 = +86.515713
t1 = +0.011384
T_rise = +0.000786
T_fall = +0.010735
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.979060
logB = -8.933233
t0 = +51.488713
t1 = +87.418062
T_rise = +0.016066
T_fall = +0.037621
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.153251
logB = -4.416729
t0 = +42.731364
t1 = +9.945677
T_rise = +0.016066
T_fall = +0.030047
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -3.226158
t0 = +44.800074
t1 = +2.059128
T_rise = +94.937670
T_fall = +0.106995
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.245825
logB = +nan
t0 = +44.800074
t1 = +2.059128
T_rise = +94.937670
T_fall = +0.106995
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.245825
logB = -3.226158
t0 = +nan
t1 = +2.059128
T_rise = +94.937670
T_fall = +0.106995
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.245825
logB = -3.226158
t0 = +44.800074
t1 = +nan
T_rise = +94.937670
T_fall = +0.106995
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.245825
logB = -3.226158
t0 = +44.800074
t1 = +2.059128
T_rise = +nan
T_fall = +0.106995
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.245825
logB = -3.226158
t0 = +44.800074
t1 = +2.059128
T_rise = +94.937670
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.128227
logB = -11.500752
t0 = +82.724240
t1 = +0.932120
T_rise = +0.000386
T_fall = +0.055106
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -3.226158
t0 = +44.800074
t1 = +2.059128
T_rise = +94.937670
T_fall = +0.106995
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.245825
logB = +nan
t0 = +44.800074
t1 = +2.059128
T_rise = +94.937670
T_fall = +0.106995
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.245825
logB = -3.226158
t0 = +nan
t1 = +2.059128
T_rise = +94.937670
T_fall = +0.106995
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.245825
logB = -3.226158
t0 = +44.800074
t1 = +nan
T_rise = +94.937670
T_fall = +0.106995
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.245825
logB = -3.226158
t0 = +44.800074
t1 = +2.059128
T_rise = +nan
T_fall = +0.106995
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.245825
logB = -3.226158
t0 = +44.800074
t1 = +2.059128
T_rise = +94.937670
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.192603
logB = -10.195628
t0 = +88.946241
t1 = +1.531244
T_rise = +0.110238
T_fall = +0.066736
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.684071
logB = +0.403978
t0 = +5.034985
t1 = +28.936282
T_rise = +0.000224
T_fall = +0.003746
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.723844
logB = +0.442974
t0 = +5.041988
t1 = +29.165295
T_rise = +0.003937
T_fall = +0.006065
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.725671
logB = +0.444765
t0 = +5.042551
t1 = +29.176929
T_rise = +0.004405
T_fall = +0.007072
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690580
logB = +2.388413
t0 = +13.090002
t1 = +8.791899
T_rise = +0.000000
T_fall = +0.004172
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629413
logB = -0.619355
t0 = +9.036298
t1 = +19.823519
T_rise = +0.001505
T_fall = +0.010145
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.570085
logB = -0.676654
t0 = +8.979472
t1 = +19.505017
T_rise = +0.001215
T_fall = +0.002565
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.901499
logB = -2.121098
t0 = +0.935814
t1 = +22.389096
T_rise = +0.000011
T_fall = +0.000382
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.975097
logB = -0.647352
t0 = +13.236273
t1 = +16.124853
T_rise = +0.000437
T_fall = +0.010435
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.365239
logB = -10.410813
t0 = +18.903017
t1 = +33.093825
T_rise = +0.001085
T_fall = +0.000946
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.091185
logB = -1.140994
t0 = +3.984495
t1 = +17.161884
T_rise = +0.003186
T_fall = +0.000414
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.680609
logB = +2.378501
t0 = +13.090001
t1 = +8.877971
T_rise = +0.000007
T_fall = +0.007274
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.832778
logB = +4.226451
t0 = +15.948178
t1 = +23.965632
T_rise = +0.000138
T_fall = +0.000032
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.912402
logB = -2.104616
t0 = +0.935073
t1 = +22.316809
T_rise = +0.000001
T_fall = +0.000507
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629930
logB = -0.618851
t0 = +9.036453
t1 = +19.826208
T_rise = +0.001535
T_fall = +0.010270
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.568601
logB = -0.678098
t0 = +8.978132
t1 = +19.497370
T_rise = +0.001299
T_fall = +0.003115
m.migrad()
198 objects fitted
Time taken is 35.03 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',
max_iter=-1, probability=True, random_state=None, shrinking=True,
tol=0.001, verbose=False)
Optimised parameters: {'C': 31.622776601683793, 'gamma': 0.0031622776601683794}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.563346
logB = -8.980483
t0 = +78.851096
t1 = +79.510604
T_rise = +0.104123
T_fall = +0.104137
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.614186
logB = -9.137316
t0 = +85.878615
t1 = +82.510067
T_rise = +0.120632
T_fall = +0.120655
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.680163
logB = -2.225833
t0 = +47.840520
t1 = +0.011638
T_rise = +0.020960
T_fall = +0.016860
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.968800
logB = -2.368307
t0 = +50.412383
t1 = +0.008614
T_rise = +0.032632
T_fall = +0.042585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.945324
logB = +1.648533
t0 = +2.016007
t1 = +65.025941
T_rise = +0.000001
T_fall = +0.000794
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.944783
logB = +1.647997
t0 = +2.016005
t1 = +65.039140
T_rise = +0.000001
T_fall = +0.000693
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690204
logB = -2.384435
t0 = +53.991550
t1 = +50.806891
T_rise = +0.034278
T_fall = +0.023558
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.959722
logB = -11.401344
t0 = +91.657733
t1 = +97.834713
T_rise = +0.085078
T_fall = +0.101744
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.946161
logB = +1.649369
t0 = +2.016004
t1 = +65.118983
T_rise = +0.000000
T_fall = +0.001781
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.912713
logB = -1.320610
t0 = +4.094916
t1 = +32.663198
T_rise = +0.003779
T_fall = +0.000602
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.076591
logB = -8.718261
t0 = +2.016000
t1 = +25.475826
T_rise = +0.000000
T_fall = +0.000928
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.728324
logB = +4.546421
t0 = +95.521172
t1 = +0.872479
T_rise = +0.004727
T_fall = +0.006465
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.313366
logB = +4.102348
t0 = +67.868408
t1 = +13.295655
T_rise = +0.011339
T_fall = +0.094701
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.076033
logB = +4.598824
t0 = +34.520433
t1 = +30.413554
T_rise = +0.047773
T_fall = +0.026028
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.798129
logB = -0.570281
t0 = +35.553539
t1 = +77.586859
T_rise = +0.038349
T_fall = +0.000997
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.244520
logB = +0.979813
t0 = +71.610878
t1 = +68.783561
T_rise = +0.098885
T_fall = +0.101808
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.244425
logB = +0.979730
t0 = +71.612223
t1 = +68.782733
T_rise = +0.098425
T_fall = +0.101325
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.016886
logB = -2.453662
t0 = +36.589358
t1 = +36.031717
T_rise = +0.040753
T_fall = +0.004469
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.737992
logB = +0.456772
t0 = +5.004901
t1 = +29.606576
T_rise = +0.001336
T_fall = +0.006534
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.732557
logB = +0.451442
t0 = +5.004835
t1 = +29.581977
T_rise = +0.000388
T_fall = +0.003757
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.704933
logB = +0.424347
t0 = +5.004832
t1 = +29.457502
T_rise = +0.000338
T_fall = +0.001670
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.710459
logB = +0.429767
t0 = +5.004831
t1 = +29.482354
T_rise = +0.000335
T_fall = +0.000418
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.353959
logB = +4.066907
t0 = +5.006758
t1 = +98.770346
T_rise = +0.005766
T_fall = +0.001583
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.577114
logB = -5.602446
t0 = +55.593205
t1 = +43.282665
T_rise = +0.003370
T_fall = +0.016458
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.950317
logB = +1.359329
t0 = +85.837671
t1 = +96.357592
T_rise = +0.015987
T_fall = +0.048420
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.579475
logB = +2.090544
t0 = +29.206198
t1 = +4.741199
T_rise = +0.025561
T_fall = +0.025522
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.841563
logB = +4.336789
t0 = +27.855007
t1 = +53.460216
T_rise = +0.000000
T_fall = +0.021052
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.545730
logB = +4.509282
t0 = +82.789678
t1 = +6.947382
T_rise = +0.001551
T_fall = +0.024781
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.801041
logB = -2.269030
t0 = +0.941986
t1 = +23.009424
T_rise = +0.000679
T_fall = +0.000066
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.128474
logB = -1.105222
t0 = +4.136134
t1 = +18.787905
T_rise = +0.000757
T_fall = +0.002330
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.466370
logB = +3.401885
t0 = +32.787837
t1 = +65.044833
T_rise = +0.036374
T_fall = +0.016514
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.128770
logB = -1.104959
t0 = +4.082709
t1 = +18.789911
T_rise = +0.005652
T_fall = +0.002384
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.068409
logB = -1.162938
t0 = +4.137318
t1 = +17.024534
T_rise = +0.004404
T_fall = +0.004716
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.078634
logB = -1.153084
t0 = +4.137317
t1 = +17.057569
T_rise = +0.004146
T_fall = +0.002112
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.126672
logB = -1.106771
t0 = +4.137309
t1 = +17.216741
T_rise = +0.003919
T_fall = +0.003665
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.073058
logB = -1.158458
t0 = +4.137318
t1 = +17.039158
T_rise = +0.004174
T_fall = +0.003399
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.303895
logB = -0.932770
t0 = +18.985447
t1 = +21.329708
T_rise = +0.013496
T_fall = +0.012724
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.303999
logB = -0.932669
t0 = +18.983693
t1 = +21.330881
T_rise = +0.010969
T_fall = +0.012711
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690487
logB = +2.388330
t0 = +13.090053
t1 = +8.792472
T_rise = +0.000001
T_fall = +0.004204
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.911672
logB = -2.105717
t0 = +0.935124
t1 = +22.321635
T_rise = +0.000001
T_fall = +0.000498
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.895015
logB = -2.130873
t0 = +0.936244
t1 = +22.431702
T_rise = +0.000023
T_fall = +0.000316
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629896
logB = -0.618883
t0 = +9.036443
t1 = +19.826034
T_rise = +0.001533
T_fall = +0.010262
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.568698
logB = -0.678003
t0 = +8.978219
t1 = +19.497869
T_rise = +0.001293
T_fall = +0.003078
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.842470
logB = -2.208961
t0 = +0.939550
t1 = +22.763723
T_rise = +0.000280
T_fall = +0.000012
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.872691
logB = -2.164299
t0 = +0.937685
t1 = +22.575617
T_rise = +0.000098
T_fall = +0.000137
m.migrad()
198 objects fitted
Time taken is 30.77 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',
max_iter=-1, probability=True, random_state=None, shrinking=True,
tol=0.001, verbose=False)
Optimised parameters: {'C': 31.622776601683793, 'gamma': 0.0031622776601683794}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.466230
logB = +4.601536
t0 = +57.755412
t1 = +22.639982
T_rise = +0.003844
T_fall = +0.006123
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.622085
logB = +3.179097
t0 = +89.797422
t1 = +8.121682
T_rise = +0.005211
T_fall = +0.061214
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.553573
logB = -4.056697
t0 = +98.314030
t1 = +88.700789
T_rise = +0.117635
T_fall = +0.105613
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.999489
logB = -1.237315
t0 = +4.093492
t1 = +32.605713
T_rise = +0.000957
T_fall = +0.005724
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.283633
logB = -2.629121
t0 = +95.546411
t1 = +8.207482
T_rise = +0.014368
T_fall = +0.000037
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.881811
logB = -1.350480
t0 = +4.011874
t1 = +32.456901
T_rise = +0.002321
T_fall = +0.000565
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.505675
logB = -11.461795
t0 = +94.567988
t1 = +19.698081
T_rise = +0.001187
T_fall = +0.113247
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.450332
logB = -1.373686
t0 = +91.321091
t1 = +63.897884
T_rise = +0.003005
T_fall = +0.008824
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.359950
logB = -11.247862
t0 = +50.273950
t1 = +71.488145
T_rise = +0.022820
T_fall = +0.014053
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.961028
logB = -6.870282
t0 = +47.225850
t1 = +1.884787
T_rise = +0.001507
T_fall = +0.002379
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.613581
logB = -2.770254
t0 = +4.077052
t1 = +3.770799
T_rise = +0.004355
T_fall = +0.004029
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.277416
logB = -0.506294
t0 = +92.471960
t1 = +65.305886
T_rise = +0.005044
T_fall = +0.004280
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.953951
logB = -2.982535
t0 = +93.100041
t1 = +15.035799
T_rise = +0.131107
T_fall = +0.130380
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.782177
logB = -3.598676
t0 = +28.271262
t1 = +0.314187
T_rise = +0.021626
T_fall = +0.012843
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.635643
logB = -1.494683
t0 = +57.402366
t1 = +60.902577
T_rise = +0.053163
T_fall = +0.030117
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.900969
logB = +2.137830
t0 = +74.129723
t1 = +99.703664
T_rise = +0.083317
T_fall = +0.000344
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -4.382174
t0 = +95.291881
t1 = +46.585265
T_rise = +2.889924
T_fall = +0.213379
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.698544
logB = +nan
t0 = +95.291881
t1 = +46.585265
T_rise = +2.889924
T_fall = +0.213379
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.698544
logB = -4.382174
t0 = +nan
t1 = +46.585265
T_rise = +2.889924
T_fall = +0.213379
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.698544
logB = -4.382174
t0 = +95.291881
t1 = +nan
T_rise = +2.889924
T_fall = +0.213379
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.698544
logB = -4.382174
t0 = +95.291881
t1 = +46.585265
T_rise = +nan
T_fall = +0.213379
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.698544
logB = -4.382174
t0 = +95.291881
t1 = +46.585265
T_rise = +2.889924
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.977507
logB = -5.512720
t0 = +99.910231
t1 = +0.122807
T_rise = +0.016229
T_fall = +0.010555
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.902611
logB = -10.133374
t0 = +11.672507
t1 = +99.475990
T_rise = +0.010405
T_fall = +0.000001
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.900629
logB = -2.122426
t0 = +0.935869
t1 = +22.394957
T_rise = +0.000013
T_fall = +0.000373
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629370
logB = -0.619396
t0 = +9.036285
t1 = +19.823296
T_rise = +0.001503
T_fall = +0.010135
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.570205
logB = -0.676537
t0 = +8.979582
t1 = +19.505638
T_rise = +0.001209
T_fall = +0.002522
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.919435
logB = -2.093914
t0 = +0.934591
t1 = +22.269413
T_rise = +0.000001
T_fall = +0.000596
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.832973
logB = -2.222871
t0 = +0.940114
t1 = +22.821424
T_rise = +0.000356
T_fall = +0.000001
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.873270
logB = -2.163429
t0 = +0.937650
t1 = +22.571871
T_rise = +0.000096
T_fall = +0.000140
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.772198
logB = -2.310044
t0 = +0.943626
t1 = +23.172790
T_rise = +0.001059
T_fall = +0.000266
m.migrad()
198 objects fitted
Time taken is 29.92 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',
max_iter=-1, probability=True, random_state=None, shrinking=True,
tol=0.001, verbose=False)
Optimised parameters: {'C': 31.622776601683793, 'gamma': 0.0031622776601683794}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.608292
logB = -6.963711
t0 = +94.012678
t1 = +71.959565
T_rise = +0.007060
T_fall = +0.000639
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.608612
logB = -0.081954
t0 = +5.027626
t1 = +22.433800
T_rise = +0.002821
T_fall = +0.002244
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.883108
logB = +0.599646
t0 = +16.798445
t1 = +5.400769
T_rise = +0.000995
T_fall = +0.010769
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.860658
logB = -1.370932
t0 = +4.075306
t1 = +33.203097
T_rise = +0.005014
T_fall = +0.005612
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.872640
logB = -1.359367
t0 = +4.076080
t1 = +33.232530
T_rise = +0.005422
T_fall = +0.003200
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.865566
logB = -1.366195
t0 = +4.075221
t1 = +33.214654
T_rise = +0.005021
T_fall = +0.004531
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.105054
logB = +2.261343
t0 = +99.602968
t1 = +99.073731
T_rise = +0.001695
T_fall = +0.021150
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.983197
logB = -1.253075
t0 = +4.091787
t1 = +32.623990
T_rise = +0.000464
T_fall = +0.002220
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.997394
logB = -1.239344
t0 = +4.091775
t1 = +32.651463
T_rise = +0.000461
T_fall = +0.005020
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.245942
logB = -8.311145
t0 = +57.002369
t1 = +70.546561
T_rise = +0.000014
T_fall = +0.003732
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.500412
logB = -5.113602
t0 = +57.369686
t1 = +0.587702
T_rise = +0.025397
T_fall = +0.001143
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.171613
logB = +4.179247
t0 = +85.452967
t1 = +99.250636
T_rise = +0.094356
T_fall = +0.001108
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.065862
logB = -3.318705
t0 = +92.321198
t1 = +79.565406
T_rise = +0.053728
T_fall = +0.037854
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.322510
logB = +2.089421
t0 = +87.314273
t1 = +13.223956
T_rise = +0.000245
T_fall = +0.060798
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.322510
logB = +2.089421
t0 = +87.314273
t1 = +13.223956
T_rise = +0.000245
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.865356
logB = -2.175208
t0 = +0.938145
t1 = +22.622017
T_rise = +0.000134
T_fall = +0.000094
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.900039
logB = -2.123293
t0 = +0.935913
t1 = +22.398655
T_rise = +0.000014
T_fall = +0.000366
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.809587
logB = -2.256719
t0 = +0.941499
t1 = +22.959609
T_rise = +0.000583
T_fall = +0.000033
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629343
logB = -0.619424
t0 = +9.036278
t1 = +19.823151
T_rise = +0.001501
T_fall = +0.010129
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.570282
logB = -0.676463
t0 = +8.979653
t1 = +19.506035
T_rise = +0.001204
T_fall = +0.002495
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.349105
logB = -1.237104
t0 = +9.596981
t1 = +54.632379
T_rise = +0.001089
T_fall = +0.008656
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690850
logB = +2.388685
t0 = +13.090003
t1 = +8.789471
T_rise = +0.000000
T_fall = +0.004100
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.349105
logB = -1.237104
t0 = +nan
t1 = +54.632379
T_rise = +0.001089
T_fall = +0.008656
m.migrad()
198 objects fitted
Time taken is 27.41 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',
max_iter=-1, probability=True, random_state=None, shrinking=True,
tol=0.001, verbose=False)
Optimised parameters: {'C': 100000.0, 'gamma': 0.0031622776601683794}
WARNING: Upper boundary on parameter C may be too low. Optimum may not have been reached.
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.201019
logB = -4.358572
t0 = +59.408676
t1 = +78.004249
T_rise = +0.011852
T_fall = +0.015608
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.658491
logB = -6.063699
t0 = +99.999622
t1 = +86.288961
T_rise = +0.069093
T_fall = +0.029227
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.221301
logB = -1.182960
t0 = +6.414419
t1 = +30.630084
T_rise = +0.007281
T_fall = +0.008618
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.837048
logB = -0.648102
t0 = +99.518502
t1 = +3.792791
T_rise = +0.095013
T_fall = +0.040452
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.908274
logB = -7.924093
t0 = +12.801828
t1 = +99.591111
T_rise = +0.000001
T_fall = +0.011920
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.823965
logB = +4.574207
t0 = +5.239060
t1 = +19.395636
T_rise = +0.000732
T_fall = +0.000219
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.573255
logB = +0.286843
t0 = +4.094355
t1 = +67.580587
T_rise = +0.000327
T_fall = +0.005841
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.625507
logB = +0.346538
t0 = +5.004045
t1 = +2.288679
T_rise = +0.000015
T_fall = +0.001163
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.028115
logB = -1.722742
t0 = +5.004052
t1 = +5.101079
T_rise = +0.000005
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.028115
logB = -1.722742
t0 = +5.004052
t1 = +5.101079
T_rise = +0.000005
T_fall = +0.006669
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.429777
logB = -4.732010
t0 = +99.812476
t1 = +19.274707
T_rise = +0.004960
T_fall = +0.060940
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.114803
logB = -1.132730
t0 = +94.905761
t1 = +32.207960
T_rise = +0.027778
T_fall = +0.099265
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.506544
logB = +1.834262
t0 = +99.681338
t1 = +98.612897
T_rise = +0.017392
T_fall = +0.000540
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.828786
logB = +2.127975
t0 = +99.719565
t1 = +99.522852
T_rise = +0.000406
T_fall = +0.013050
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.227051
logB = +0.983221
t0 = +28.000278
t1 = +0.480547
T_rise = +0.022527
T_fall = +0.000070
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.409161
logB = -11.276195
t0 = +23.440988
t1 = +95.801474
T_rise = +0.019478
T_fall = +0.000149
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.366632
logB = -9.243253
t0 = +14.252590
t1 = +76.366830
T_rise = +0.005711
T_fall = +0.000712
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.441056
logB = -0.773217
t0 = +92.111606
t1 = +13.564658
T_rise = +0.000111
T_fall = +0.000361
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.441056
logB = -0.773217
t0 = +92.111606
t1 = +13.564658
T_rise = +0.000111
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.680967
logB = -11.512903
t0 = +57.874138
t1 = +75.506645
T_rise = +0.047411
T_fall = +0.001328
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.082825
logB = +2.373515
t0 = +87.521191
t1 = +99.955526
T_rise = +0.011676
T_fall = +0.123891
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.728749
logB = +3.528830
t0 = +20.500022
t1 = +60.341174
T_rise = +0.005545
T_fall = +0.002967
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.065305
logB = -1.165932
t0 = +4.042605
t1 = +16.958571
T_rise = +0.000001
T_fall = +0.004089
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.366415
logB = +2.641934
t0 = +97.477661
t1 = +89.077372
T_rise = +0.080700
T_fall = +0.035723
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.430086
logB = -0.754543
t0 = +4.137132
t1 = +8.255679
T_rise = +0.000019
T_fall = +0.000207
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.430086
logB = -0.754543
t0 = +4.137132
t1 = +8.255679
T_rise = +0.000019
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.909211
logB = -2.109418
t0 = +0.935298
t1 = +22.337825
T_rise = +0.000003
T_fall = +0.000468
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629782
logB = -0.618994
t0 = +9.036407
t1 = +19.825442
T_rise = +0.001526
T_fall = +0.010234
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.569030
logB = -0.677680
t0 = +8.978516
t1 = +19.499577
T_rise = +0.001275
T_fall = +0.002952
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.688619
logB = +2.386463
t0 = +13.090011
t1 = +8.808871
T_rise = +0.000001
T_fall = +0.004716
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.084592
logB = -1.147542
t0 = +4.140778
t1 = +18.718152
T_rise = +0.003892
T_fall = +0.003034
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.873787
logB = -2.162660
t0 = +0.937617
t1 = +22.568601
T_rise = +0.000093
T_fall = +0.000144
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.812752
logB = -2.252184
t0 = +0.941309
t1 = +22.941318
T_rise = +0.000549
T_fall = +0.000024
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.805537
logB = +0.383152
t0 = +1.366856
t1 = +38.441737
T_rise = +0.000118
T_fall = +0.000241
m.migrad()
198 objects fitted
Time taken is 23.12 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',
max_iter=-1, probability=True, random_state=None, shrinking=True,
tol=0.001, verbose=False)
Optimised parameters: {'C': 1778.2794100389228, 'gamma': 0.0031622776601683794}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.238863
logB = +3.212422
t0 = +95.849097
t1 = +64.913163
T_rise = +0.018543
T_fall = +0.003635
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.169171
logB = -0.644241
t0 = +99.731972
t1 = +94.456436
T_rise = +0.132301
T_fall = +0.072355
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.175951
logB = -3.840291
t0 = +22.602828
t1 = +88.011763
T_rise = +0.000213
T_fall = +0.015840
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.265925
logB = +1.741641
t0 = +50.763358
t1 = +50.291521
T_rise = +0.013009
T_fall = +0.032866
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.484990
logB = -2.700355
t0 = +50.498951
t1 = +78.843404
T_rise = +0.069602
T_fall = +0.071358
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.540286
logB = -2.805784
t0 = +50.501690
t1 = +79.743968
T_rise = +0.065751
T_fall = +0.067328
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.190470
logB = -3.333205
t0 = +50.508167
t1 = +95.297644
T_rise = +0.069861
T_fall = +0.071532
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.201535
logB = -3.498186
t0 = +50.508032
t1 = +97.545523
T_rise = +0.069450
T_fall = +0.071084
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.638529
logB = -11.357584
t0 = +5.740434
t1 = +6.042030
T_rise = +0.007424
T_fall = +0.000479
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.821822
logB = +0.559482
t0 = +76.985383
t1 = +29.396418
T_rise = +0.001048
T_fall = +0.027529
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.386625
logB = +4.598382
t0 = +95.554215
t1 = +97.078305
T_rise = +0.033383
T_fall = +0.082027
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.031730
logB = +4.341633
t0 = +95.414032
t1 = +96.252594
T_rise = +0.028964
T_fall = +0.107022
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.932351
logB = +0.625841
t0 = +3.186512
t1 = +58.837462
T_rise = +0.003020
T_fall = +0.003186
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.188779
logB = -0.122700
t0 = +46.671890
t1 = +0.000131
T_rise = +0.008642
T_fall = +0.037393
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.843516
logB = +4.474523
t0 = +86.878148
t1 = +96.236848
T_rise = +0.000644
T_fall = +0.031527
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.275749
logB = -0.960088
t0 = +12.020217
t1 = +25.162715
T_rise = +0.000651
T_fall = +0.002399
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.893243
logB = -2.133511
t0 = +0.936367
t1 = +22.443052
T_rise = +0.000028
T_fall = +0.000298
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.024109
logB = +2.705869
t0 = +4.137008
t1 = +4.059974
T_rise = +0.000000
T_fall = +0.005283
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.353543
logB = +1.533351
t0 = +85.963148
t1 = +9.770676
T_rise = +0.025112
T_fall = +0.090159
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.240305
logB = +2.920692
t0 = +26.668579
t1 = +2.839481
T_rise = +0.000023
T_fall = +0.002100
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.240305
logB = +2.920692
t0 = +26.668579
t1 = +2.839481
T_rise = +0.000023
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.521804
logB = -4.600730
t0 = +72.679622
t1 = +55.569646
T_rise = +0.044287
T_fall = +0.042381
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.272847
logB = -1.275801
t0 = +98.101385
t1 = +15.002596
T_rise = +0.000002
T_fall = +0.002937
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.838456
logB = -2.214851
t0 = +0.939789
t1 = +22.788216
T_rise = +0.000311
T_fall = +0.000005
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.979097
logB = -0.285116
t0 = +12.022989
t1 = +32.337405
T_rise = +0.000151
T_fall = +0.013797
m.migrad()
198 objects fitted
Time taken is 22.87 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',
max_iter=-1, probability=True, random_state=None, shrinking=True,
tol=0.001, verbose=False)
Optimised parameters: {'C': 100000.0, 'gamma': 0.0031622776601683794}
WARNING: Upper boundary on parameter C may be too low. Optimum may not have been reached.
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -9.699564
logB = -3.250743
t0 = +46.690976
t1 = +28.964095
T_rise = +0.000661
T_fall = +0.007600
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.034926
logB = +2.578105
t0 = +8.642852
t1 = +35.554814
T_rise = +0.000989
T_fall = +0.000205
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.409037
logB = +4.144488
t0 = +8.741767
t1 = +1.434605
T_rise = +0.003899
T_fall = +0.004535
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.689106
logB = +0.889486
t0 = +9.789773
t1 = +61.404445
T_rise = +0.005772
T_fall = +0.007493
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.581993
logB = +4.268586
t0 = +5.016910
t1 = +8.917885
T_rise = +0.000560
T_fall = +0.000002
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.155477
logB = +3.753700
t0 = +70.684733
t1 = +67.810893
T_rise = +0.006595
T_fall = +0.000300
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.474453
logB = +1.148834
t0 = +87.803563
t1 = +93.762671
T_rise = +0.000023
T_fall = +0.015859
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.591767
logB = -8.062858
t0 = +35.136873
t1 = +4.003536
T_rise = +0.004019
T_fall = +0.029342
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.651746
logB = -4.821033
t0 = +78.846364
t1 = +91.125737
T_rise = +0.035983
T_fall = +0.004977
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.078025
logB = -9.654079
t0 = +61.571977
t1 = +59.258979
T_rise = +0.082546
T_fall = +0.004610
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.508565
logB = -9.568234
t0 = +63.093339
t1 = +86.783191
T_rise = +0.033122
T_fall = +0.016151
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690989
logB = +2.388843
t0 = +13.090002
t1 = +8.787815
T_rise = +0.000004
T_fall = +0.004076
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.887383
logB = +2.582925
t0 = +74.509734
t1 = +4.706672
T_rise = +0.000000
T_fall = +0.002913
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.873707
logB = -2.162815
t0 = +0.937615
t1 = +22.569384
T_rise = +0.000094
T_fall = +0.000144
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.915516
logB = -2.099874
t0 = +0.934862
t1 = +22.295810
T_rise = +0.000000
T_fall = +0.000546
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.504841
logB = -1.145518
t0 = +82.619938
t1 = +17.019854
T_rise = +0.000026
T_fall = +0.044613
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.630072
logB = -0.618712
t0 = +9.036498
t1 = +19.826952
T_rise = +0.001543
T_fall = +0.010306
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.568182
logB = -0.678506
t0 = +8.977757
t1 = +19.495214
T_rise = +0.001323
T_fall = +0.003278
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.732161
logB = +0.451089
t0 = +5.007013
t1 = +29.035876
T_rise = +0.001280
T_fall = +0.004104
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.180350
logB = -1.051475
t0 = +12.354650
t1 = +19.108231
T_rise = +0.000050
T_fall = +0.000614
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.790900
logB = -2.283507
t0 = +0.942571
t1 = +23.067408
T_rise = +0.000803
T_fall = +0.000121
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690495
logB = +2.388335
t0 = +13.090003
t1 = +8.792498
T_rise = +0.000000
T_fall = +0.004196
m.migrad()
198 objects fitted
Time taken is 21.95 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',
max_iter=-1, probability=True, random_state=None, shrinking=True,
tol=0.001, verbose=False)
Optimised parameters: {'C': 1778.2794100389228, 'gamma': 0.0031622776601683794}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.339836
logB = +4.593899
t0 = +67.831411
t1 = +0.907259
T_rise = +0.003664
T_fall = +0.003826
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.493485
logB = +3.298859
t0 = +98.362607
t1 = +97.482306
T_rise = +0.120203
T_fall = +0.009302
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.236362
logB = +4.448424
t0 = +5.193455
t1 = +7.269978
T_rise = +0.001185
T_fall = +0.001113
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.303609
logB = -1.449651
t0 = +17.329398
t1 = +12.851056
T_rise = +0.009561
T_fall = +0.007060
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.826169
logB = -1.404076
t0 = +6.527239
t1 = +31.714473
T_rise = +0.001003
T_fall = +0.006499
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.826169
logB = -1.404076
t0 = +18.769157
t1 = +31.714473
T_rise = +0.001003
T_fall = +0.006499
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.126248
logB = +4.604111
t0 = +37.927276
t1 = +0.166171
T_rise = +0.002277
T_fall = +0.006403
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.928452
logB = +3.167933
t0 = +94.531884
t1 = +12.625901
T_rise = +0.041797
T_fall = +0.012438
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.792903
logB = +2.027154
t0 = +45.115482
t1 = +99.535701
T_rise = +0.046059
T_fall = +0.004689
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -8.207243
logB = +4.068390
t0 = +20.773335
t1 = +71.208620
T_rise = +0.026802
T_fall = +0.009060
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.294196
logB = +2.704441
t0 = +96.940899
t1 = +37.946020
T_rise = +0.005666
T_fall = +0.067598
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.509458
logB = +3.160058
t0 = +79.381498
t1 = +1.795475
T_rise = +0.045916
T_fall = +0.107246
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.844011
logB = +3.862579
t0 = +69.590948
t1 = +98.616494
T_rise = +0.000934
T_fall = +0.017409
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.174875
logB = -1.484290
t0 = +83.026041
t1 = +39.462199
T_rise = +0.001899
T_fall = +0.050143
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.906584
logB = -2.113460
t0 = +0.935463
t1 = +22.355823
T_rise = +0.000005
T_fall = +0.000439
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.424681
logB = -3.234051
t0 = +0.053938
t1 = +4.340154
T_rise = +0.000057
T_fall = +0.000065
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.424681
logB = -3.234051
t0 = +nan
t1 = +4.340154
T_rise = +0.000057
T_fall = +0.000065
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.424681
logB = -3.234051
t0 = +0.042565
t1 = +4.340154
T_rise = +0.000057
T_fall = +0.000012
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.424681
logB = -3.234051
t0 = +0.042565
t1 = +4.340154
T_rise = +0.000057
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629656
logB = -0.619118
t0 = +9.036369
t1 = +19.824781
T_rise = +0.001519
T_fall = +0.010203
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.569393
logB = -0.677327
t0 = +8.978845
t1 = +19.501448
T_rise = +0.001254
T_fall = +0.002816
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690612
logB = +2.388446
t0 = +13.090003
t1 = +8.791595
T_rise = +0.000000
T_fall = +0.004165
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.849772
logB = -2.198252
t0 = +0.939103
t1 = +22.719116
T_rise = +0.000228
T_fall = +0.000029
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.713175
logB = +1.415818
t0 = +7.801175
t1 = +30.552370
T_rise = +0.007503
T_fall = +0.001112
m.migrad()
198 objects fitted
Time taken is 19.59 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',
max_iter=-1, probability=True, random_state=None, shrinking=True,
tol=0.001, verbose=False)
Optimised parameters: {'C': 100000.0, 'gamma': 0.0031622776601683794}
WARNING: Upper boundary on parameter C may be too low. Optimum may not have been reached.
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.595571
logB = +4.537952
t0 = +25.555916
t1 = +79.650658
T_rise = +0.027318
T_fall = +0.015588
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.991882
logB = -1.244586
t0 = +4.049749
t1 = +34.093810
T_rise = +0.003037
T_fall = +0.003761
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.282717
logB = +3.717584
t0 = +2.529270
t1 = +12.177377
T_rise = +0.000135
T_fall = +0.000428
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.911325
logB = +3.540562
t0 = +5.004001
t1 = +9.051658
T_rise = +0.000000
T_fall = +0.000199
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.884869
logB = +3.514359
t0 = +5.004001
t1 = +9.252007
T_rise = +0.000000
T_fall = +0.004931
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.874163
logB = +0.605808
t0 = +84.835067
t1 = +29.917002
T_rise = +0.000014
T_fall = +0.044760
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.765889
logB = +2.022523
t0 = +75.954566
t1 = +99.473501
T_rise = +0.012730
T_fall = +0.012354
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.057904
logB = -4.474768
t0 = +98.904962
t1 = +5.910520
T_rise = +0.100214
T_fall = +0.050523
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.478905
logB = -1.217622
t0 = +80.514455
t1 = +32.741318
T_rise = +0.018867
T_fall = +0.019858
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.147988
logB = -1.088112
t0 = +17.391404
t1 = +14.110325
T_rise = +0.003955
T_fall = +0.012730
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.158349
logB = -6.106662
t0 = +45.477032
t1 = +18.025353
T_rise = +0.000358
T_fall = +0.000982
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.820591
logB = -2.240843
t0 = +0.940853
t1 = +22.895096
T_rise = +0.000469
T_fall = +0.000007
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.896411
logB = -2.128756
t0 = +0.936155
t1 = +22.422438
T_rise = +0.000020
T_fall = +0.000329
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.391765
logB = +1.199891
t0 = +23.503082
t1 = +27.236480
T_rise = +0.020870
T_fall = +0.009359
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629165
logB = -0.619596
t0 = +9.036228
t1 = +19.822229
T_rise = +0.001491
T_fall = +0.010088
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.570774
logB = -0.675984
t0 = +8.980106
t1 = +19.508583
T_rise = +0.001177
T_fall = +0.002324
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.898123
logB = +2.593608
t0 = +98.165728
t1 = +4.639384
T_rise = +0.000000
T_fall = +0.028864
m.migrad()
198 objects fitted
Time taken is 20.39 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',
max_iter=-1, probability=True, random_state=None, shrinking=True,
tol=0.001, verbose=False)
Optimised parameters: {'C': 31.622776601683793, 'gamma': 0.0031622776601683794}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.308459
logB = +3.420788
t0 = +37.666588
t1 = +58.318722
T_rise = +0.010679
T_fall = +0.000764
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.444856
logB = -10.301438
t0 = +16.271161
t1 = +22.965704
T_rise = +0.000185
T_fall = +0.000580
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.591855
logB = -2.790368
t0 = +4.109128
t1 = +61.154411
T_rise = +0.000895
T_fall = +0.000025
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.591855
logB = -2.790368
t0 = +4.109128
t1 = +61.154411
T_rise = +0.000895
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.670547
logB = -0.635701
t0 = +77.004497
t1 = +7.933810
T_rise = +0.000257
T_fall = +0.014073
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.280680
logB = -10.867869
t0 = +9.273722
t1 = +71.585832
T_rise = +0.000288
T_fall = +0.002795
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.018309
logB = +3.325709
t0 = +18.585388
t1 = +73.095648
T_rise = +0.006365
T_fall = +0.017747
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.277112
logB = -1.737740
t0 = +72.424569
t1 = +74.890038
T_rise = +0.098268
T_fall = +0.076659
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.996649
logB = -1.240126
t0 = +4.099691
t1 = +33.299956
T_rise = +0.002474
T_fall = +0.003083
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.944117
logB = -1.290923
t0 = +4.099847
t1 = +33.208672
T_rise = +0.002541
T_fall = +0.001055
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.956689
logB = -1.278769
t0 = +4.099810
t1 = +33.230492
T_rise = +0.002525
T_fall = +0.000131
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.874579
logB = -7.915749
t0 = +18.759043
t1 = +32.969392
T_rise = +0.001938
T_fall = +0.002705
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.903980
logB = -7.907757
t0 = +18.772330
t1 = +33.561688
T_rise = +0.019262
T_fall = +0.000439
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.903980
logB = -7.907757
t0 = +18.772330
t1 = +33.561688
T_rise = +0.019262
T_fall = +0.011641
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.435686
logB = -7.448932
t0 = +48.793480
t1 = +10.267164
T_rise = +0.003266
T_fall = +0.009431
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.339982
logB = -2.523161
t0 = +4.098897
t1 = +66.330155
T_rise = +0.000474
T_fall = +0.003120
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.339982
logB = -2.523161
t0 = +4.098897
t1 = +66.330155
T_rise = +0.000474
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.430315
logB = -2.725288
t0 = +99.804152
t1 = +12.971677
T_rise = +0.006262
T_fall = +0.043673
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.412700
logB = -2.690020
t0 = +99.818390
t1 = +12.819864
T_rise = +0.004613
T_fall = +0.000022
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.412700
logB = -2.690020
t0 = +99.818390
t1 = +12.819864
T_rise = +0.004613
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.711544
logB = -0.555412
t0 = +67.801298
t1 = +88.069465
T_rise = +0.013061
T_fall = +0.021672
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.491749
logB = +0.208046
t0 = +88.780869
t1 = +85.988281
T_rise = +0.033951
T_fall = +0.000023
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.783526
logB = -0.143977
t0 = +70.866009
t1 = +65.018743
T_rise = +0.096538
T_fall = +0.000061
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.945037
logB = +1.648253
t0 = +2.016006
t1 = +65.060569
T_rise = +0.000001
T_fall = +0.000964
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.099310
logB = +1.628567
t0 = +27.609854
t1 = +2.801774
T_rise = +0.013316
T_fall = +0.000059
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.369305
logB = +1.860536
t0 = +37.497980
t1 = +2.515154
T_rise = +0.013316
T_fall = +0.049993
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.369305
logB = +1.860536
t0 = +nan
t1 = +2.515154
T_rise = +0.013316
T_fall = +0.049993
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.369305
logB = +1.860536
t0 = +34.740301
t1 = +2.515154
T_rise = +0.013316
T_fall = +0.047169
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.369305
logB = +1.860536
t0 = +34.740301
t1 = +2.515154
T_rise = +0.013316
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.547266
logB = -3.803380
t0 = +18.990712
t1 = +11.954168
T_rise = +0.001462
T_fall = +0.008062
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.657152
logB = -9.912147
t0 = +29.867492
t1 = +9.130940
T_rise = +0.031869
T_fall = +0.005550
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -9.953353
logB = -2.301103
t0 = +38.130131
t1 = +80.668638
T_rise = +0.031697
T_fall = +0.010337
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -9.250941
logB = +2.191716
t0 = +92.765064
t1 = +91.542320
T_rise = +0.015250
T_fall = +0.006111
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.966042
logB = +3.873634
t0 = +47.961820
t1 = +5.095392
T_rise = +0.003724
T_fall = +0.008508
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.279969
logB = -6.085059
t0 = +19.174267
t1 = +34.418468
T_rise = +0.010108
T_fall = +0.014005
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -4.722093
t0 = +65.806689
t1 = +3.860057
T_rise = +72.983969
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = -4.722093
t0 = +65.806689
t1 = +3.860057
T_rise = +72.983969
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = +nan
t0 = +65.806689
t1 = +3.860057
T_rise = +72.983969
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = -4.722093
t0 = +nan
t1 = +3.860057
T_rise = +72.983969
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = -4.722093
t0 = +65.806689
t1 = +nan
T_rise = +72.983969
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = -4.722093
t0 = +65.806689
t1 = +3.860057
T_rise = +nan
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.132712
logB = +0.485751
t0 = +99.800834
t1 = +56.411388
T_rise = +0.005796
T_fall = +0.116520
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.003711
logB = -1.477657
t0 = +98.778394
t1 = +36.460731
T_rise = +0.073700
T_fall = +0.006054
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -4.722093
t0 = +65.806689
t1 = +3.860057
T_rise = +72.983969
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = +nan
t0 = +65.806689
t1 = +3.860057
T_rise = +72.983969
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = -4.722093
t0 = +nan
t1 = +3.860057
T_rise = +72.983969
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = -4.722093
t0 = +65.806689
t1 = +nan
T_rise = +72.983969
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = -4.722093
t0 = +65.806689
t1 = +3.860057
T_rise = +nan
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = -4.722093
t0 = +65.806689
t1 = +3.860057
T_rise = +72.983969
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -4.722093
t0 = +65.806689
t1 = +3.860057
T_rise = +72.983969
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = -4.722093
t0 = +65.806689
t1 = +3.860057
T_rise = +72.983969
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = +nan
t0 = +65.806689
t1 = +3.860057
T_rise = +72.983969
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = -4.722093
t0 = +nan
t1 = +3.860057
T_rise = +72.983969
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = -4.722093
t0 = +65.806689
t1 = +nan
T_rise = +72.983969
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = -4.722093
t0 = +65.806689
t1 = +3.860057
T_rise = +nan
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = -4.722093
t0 = +65.806689
t1 = +3.860057
T_rise = +72.983969
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -4.722093
t0 = +65.806689
t1 = +3.860057
T_rise = +72.983969
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = +nan
t0 = +65.806689
t1 = +3.860057
T_rise = +72.983969
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = -4.722093
t0 = +nan
t1 = +3.860057
T_rise = +72.983969
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = -4.722093
t0 = +65.806689
t1 = +nan
T_rise = +72.983969
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.321822
logB = -4.722093
t0 = +65.806689
t1 = +3.860057
T_rise = +nan
T_fall = +0.128422
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.220271
logB = -0.671178
t0 = +25.718731
t1 = +79.830681
T_rise = +0.000091
T_fall = +0.001466
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.540209
logB = -1.515933
t0 = +24.610864
t1 = +51.997802
T_rise = +0.000000
T_fall = +0.025919
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.967734
logB = -0.699554
t0 = +84.581382
t1 = +30.155702
T_rise = +0.000670
T_fall = +0.059050
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.150188
logB = +1.168380
t0 = +8.793081
t1 = +24.094215
T_rise = +0.000449
T_fall = +0.000004
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.150188
logB = +1.168380
t0 = +8.793081
t1 = +24.094215
T_rise = +0.000449
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.121796
logB = +1.297613
t0 = +72.642068
t1 = +89.922871
T_rise = +0.044661
T_fall = +0.091852
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.990140
logB = +3.304215
t0 = +50.930693
t1 = +7.652648
T_rise = +0.019216
T_fall = +0.069952
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.404231
logB = -9.693807
t0 = +90.391438
t1 = +32.679047
T_rise = +0.002389
T_fall = +0.025736
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.824200
logB = -10.405410
t0 = +86.233177
t1 = +18.188824
T_rise = +0.003909
T_fall = +0.000316
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.852884
logB = -9.894257
t0 = +97.333118
t1 = +5.408727
T_rise = +0.107155
T_fall = +0.064646
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.000968
logB = -2.701944
t0 = +39.543442
t1 = +37.695480
T_rise = +0.003176
T_fall = +0.033247
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.070257
logB = -2.655781
t0 = +39.412234
t1 = +40.143355
T_rise = +0.002216
T_fall = +0.002708
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.089618
logB = -2.643503
t0 = +39.617679
t1 = +40.144847
T_rise = +0.010133
T_fall = +0.013900
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.783088
logB = -3.468507
t0 = +33.076776
t1 = +43.840383
T_rise = +0.008406
T_fall = +0.000175
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.959541
logB = -1.695874
t0 = +36.480825
t1 = +44.874621
T_rise = +0.019714
T_fall = +0.018980
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.259038
logB = -1.088105
t0 = +35.123088
t1 = +26.328562
T_rise = +0.008371
T_fall = +0.007984
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.050509
logB = -0.749501
t0 = +34.330720
t1 = +55.685169
T_rise = +0.010589
T_fall = +0.000000
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.428002
logB = +3.956528
t0 = +99.964331
t1 = +9.828019
T_rise = +0.042011
T_fall = +0.028713
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.010497
logB = +3.820392
t0 = +80.168768
t1 = +0.014047
T_rise = +0.071403
T_fall = +0.069764
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.262950
logB = -10.341673
t0 = +53.961980
t1 = +0.942780
T_rise = +0.006641
T_fall = +0.000583
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.695695
logB = +3.774849
t0 = +29.478718
t1 = +68.571679
T_rise = +0.000520
T_fall = +0.032227
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.831125
logB = +1.825615
t0 = +72.736016
t1 = +0.494698
T_rise = +0.025065
T_fall = +0.028454
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.988028
logB = +2.068020
t0 = +28.038152
t1 = +7.436271
T_rise = +0.026709
T_fall = +0.023720
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.917514
logB = -8.273903
t0 = +36.873550
t1 = +91.778492
T_rise = +0.011798
T_fall = +0.004551
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.986621
logB = +2.066568
t0 = +28.041696
t1 = +7.457732
T_rise = +0.029111
T_fall = +0.019478
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.166578
logB = +1.929512
t0 = +7.744083
t1 = +43.877699
T_rise = +0.001769
T_fall = +0.007468
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.907449
logB = +4.600976
t0 = +7.167909
t1 = +98.809552
T_rise = +0.003979
T_fall = +0.000107
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.130211
logB = -0.098619
t0 = +68.433717
t1 = +61.553413
T_rise = +0.093946
T_fall = +0.095789
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.130345
logB = -0.098534
t0 = +68.428046
t1 = +61.554595
T_rise = +0.094910
T_fall = +0.096794
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -9.032734
logB = +4.326669
t0 = +61.033995
t1 = +27.271980
T_rise = +0.021903
T_fall = +0.009218
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.484427
logB = -11.110954
t0 = +98.159415
t1 = +0.181139
T_rise = +0.044697
T_fall = +0.033831
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.314763
logB = +1.641918
t0 = +43.036248
t1 = +97.995883
T_rise = +0.006613
T_fall = +0.002176
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.412333
logB = -9.690229
t0 = +31.197005
t1 = +37.574731
T_rise = +0.000027
T_fall = +0.029773
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.235896
logB = -2.880120
t0 = +64.720318
t1 = +0.036064
T_rise = +0.003428
T_fall = +0.086657
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.781779
logB = +4.484488
t0 = +32.155521
t1 = +36.423080
T_rise = +0.016026
T_fall = +0.013947
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.245258
logB = -0.011453
t0 = +98.550010
t1 = +99.038322
T_rise = +0.114635
T_fall = +0.059649
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.630951
logB = -0.500467
t0 = +97.571285
t1 = +98.464031
T_rise = +0.056942
T_fall = +0.067617
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.305674
logB = +0.615413
t0 = +89.105395
t1 = +41.223952
T_rise = +0.056135
T_fall = +0.001448
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.276173
logB = -11.508173
t0 = +93.073530
t1 = +38.376841
T_rise = +0.117495
T_fall = +0.000396
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.424470
logB = -3.590414
t0 = +18.481613
t1 = +4.014478
T_rise = +0.009028
T_fall = +0.001566
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.480605
logB = -3.666278
t0 = +18.299445
t1 = +98.859271
T_rise = +0.005826
T_fall = +0.003836
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.582463
logB = -0.374539
t0 = +84.413121
t1 = +16.266217
T_rise = +0.050516
T_fall = +0.002995
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.525848
logB = -10.050629
t0 = +80.693788
t1 = +7.090448
T_rise = +0.043776
T_fall = +0.021215
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.564997
logB = -0.596847
t0 = +35.072658
t1 = +34.936640
T_rise = +0.045382
T_fall = +0.046584
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.513144
logB = -0.620498
t0 = +35.074929
t1 = +35.038926
T_rise = +0.048374
T_fall = +0.049761
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -10.142751
t0 = +27.814060
t1 = +74.453137
T_rise = +30.471459
T_fall = +0.029723
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.399243
logB = +nan
t0 = +27.814060
t1 = +74.453137
T_rise = +30.471459
T_fall = +0.029723
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.399243
logB = -10.142751
t0 = +nan
t1 = +74.453137
T_rise = +30.471459
T_fall = +0.029723
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.399243
logB = -10.142751
t0 = +27.814060
t1 = +nan
T_rise = +30.471459
T_fall = +0.029723
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.399243
logB = -10.142751
t0 = +27.814060
t1 = +74.453137
T_rise = +nan
T_fall = +0.029723
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -10.142751
t0 = +27.814060
t1 = +74.453137
T_rise = +30.471459
T_fall = +0.455983
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.399243
logB = +nan
t0 = +27.814060
t1 = +74.453137
T_rise = +30.471459
T_fall = +0.455983
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.399243
logB = -10.142751
t0 = +nan
t1 = +74.453137
T_rise = +30.471459
T_fall = +0.455983
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.399243
logB = -10.142751
t0 = +27.814060
t1 = +nan
T_rise = +30.471459
T_fall = +0.455983
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.399243
logB = -10.142751
t0 = +27.814060
t1 = +74.453137
T_rise = +nan
T_fall = +0.455983
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.892610
logB = +3.461368
t0 = +29.805010
t1 = +81.429954
T_rise = +0.020624
T_fall = +0.032937
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.798398
logB = -4.630429
t0 = +28.699507
t1 = +64.760825
T_rise = +0.013731
T_fall = +0.035240
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.649202
logB = +4.284942
t0 = +41.396419
t1 = +93.810757
T_rise = +0.015903
T_fall = +0.000444
m.migrad()
198 objects fitted
Time taken is 1.41 minutes
Fitting supernova models...
Models fitted.
Created classifier of type:
AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None,
learning_rate=1.0, n_estimators=50, random_state=None)
Optimised parameters: {'n_estimators': 35, 'base_estimator': DecisionTreeClassifier(class_weight=None, criterion='entropy', max_depth=None,
max_features=None, max_leaf_nodes=None, min_samples_leaf=15,
min_samples_split=2, min_weight_fraction_leaf=0.0,
presort=False, random_state=None, splitter='best')}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.940881
logB = +0.956898
t0 = +58.322145
t1 = +22.066325
T_rise = +0.052536
T_fall = +0.007515
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: divide by zero encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.256682
logB = -7.158530
t0 = +59.012639
t1 = +54.069658
T_rise = +0.000508
T_fall = +0.069849
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.143967
logB = +4.170926
t0 = +94.525234
t1 = +80.282048
T_rise = +0.061052
T_fall = +0.047982
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.279162
logB = -1.004421
t0 = +1.252858
t1 = +8.364370
T_rise = +0.000139
T_fall = +0.000093
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.279162
logB = -1.004421
t0 = +1.252858
t1 = +8.364370
T_rise = +0.000139
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.669774
logB = -1.642580
t0 = +17.377062
t1 = +61.508812
T_rise = +0.000022
T_fall = +0.007513
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.942445
logB = +1.645662
t0 = +2.016006
t1 = +64.837932
T_rise = +0.000001
T_fall = +0.000100
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.180953
logB = -0.521717
t0 = +38.569536
t1 = +32.284152
T_rise = +0.030452
T_fall = +0.049753
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.473196
logB = -0.287323
t0 = +38.816722
t1 = +29.052133
T_rise = +0.026199
T_fall = +0.013965
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.712916
logB = -5.808176
t0 = +91.886224
t1 = +0.609858
T_rise = +0.105707
T_fall = +0.105732
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.712506
logB = -5.805743
t0 = +91.907722
t1 = +0.588763
T_rise = +0.109292
T_fall = +0.109319
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.715895
logB = -0.521730
t0 = +3.881100
t1 = +47.055482
T_rise = +0.000613
T_fall = +0.005381
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.715895
logB = -0.521730
t0 = +3.881100
t1 = +47.055482
T_rise = +0.000613
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.552040
logB = +0.827932
t0 = +87.610058
t1 = +99.966353
T_rise = +0.074055
T_fall = +0.073513
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.403250
logB = -0.816543
t0 = +46.125808
t1 = +33.302387
T_rise = +0.000068
T_fall = +0.019482
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.345978
logB = -0.862193
t0 = +28.114445
t1 = +33.130537
T_rise = +0.000067
T_fall = +0.026624
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.345978
logB = -0.862193
t0 = +nan
t1 = +33.130537
T_rise = +0.000067
T_fall = +0.026624
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.345978
logB = -0.862193
t0 = +86.700666
t1 = +33.130537
T_rise = +0.000067
T_fall = +0.026624
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.345978
logB = -0.862193
t0 = +9.854402
t1 = +33.130537
T_rise = +0.000067
T_fall = +0.013446
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.345978
logB = -0.862193
t0 = +9.854402
t1 = +33.130537
T_rise = +0.000067
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.261759
logB = -0.936969
t0 = +4.092628
t1 = +4.177578
T_rise = +0.000413
T_fall = +0.000047
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.261759
logB = -0.936969
t0 = +4.092628
t1 = +4.177578
T_rise = +0.000413
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.886690
logB = +0.921907
t0 = +43.255587
t1 = +62.788935
T_rise = +0.005020
T_fall = +0.039639
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -9.072126
t0 = +99.541039
t1 = +1.485320
T_rise = +1.618344
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = +nan
t0 = +99.541039
t1 = +1.485320
T_rise = +1.618344
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = -9.072126
t0 = +nan
t1 = +1.485320
T_rise = +1.618344
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = -9.072126
t0 = +99.541039
t1 = +nan
T_rise = +1.618344
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = -9.072126
t0 = +99.541039
t1 = +1.485320
T_rise = +nan
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = -9.072126
t0 = +99.541039
t1 = +1.485320
T_rise = +1.618344
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.722565
logB = -8.349395
t0 = +55.744957
t1 = +75.982022
T_rise = +0.075733
T_fall = +0.066239
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.530818
logB = -2.547371
t0 = +59.882068
t1 = +2.678031
T_rise = +0.043625
T_fall = +0.022197
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -9.072126
t0 = +99.541039
t1 = +1.485320
T_rise = +1.618344
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = +nan
t0 = +99.541039
t1 = +1.485320
T_rise = +1.618344
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = -9.072126
t0 = +nan
t1 = +1.485320
T_rise = +1.618344
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = -9.072126
t0 = +99.541039
t1 = +nan
T_rise = +1.618344
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = -9.072126
t0 = +99.541039
t1 = +1.485320
T_rise = +nan
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = -9.072126
t0 = +99.541039
t1 = +1.485320
T_rise = +1.618344
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -9.072126
t0 = +99.541039
t1 = +1.485320
T_rise = +1.618344
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = +nan
t0 = +99.541039
t1 = +1.485320
T_rise = +1.618344
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = -9.072126
t0 = +nan
t1 = +1.485320
T_rise = +1.618344
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = -9.072126
t0 = +99.541039
t1 = +nan
T_rise = +1.618344
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = -9.072126
t0 = +99.541039
t1 = +1.485320
T_rise = +nan
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = -9.072126
t0 = +99.541039
t1 = +1.485320
T_rise = +1.618344
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.210412
logB = +2.541619
t0 = +63.825983
t1 = +61.189966
T_rise = +0.071733
T_fall = +0.072238
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.211248
logB = +2.542638
t0 = +63.732328
t1 = +61.237096
T_rise = +0.089050
T_fall = +0.090996
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.210874
logB = +2.542185
t0 = +63.772806
t1 = +61.216966
T_rise = +0.081590
T_fall = +0.083237
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -9.072126
t0 = +99.541039
t1 = +1.485320
T_rise = +1.618344
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = +nan
t0 = +99.541039
t1 = +1.485320
T_rise = +1.618344
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.723415
logB = +0.950420
t0 = +64.117693
t1 = +62.730850
T_rise = +0.089761
T_fall = +0.091321
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.160819
logB = +0.576995
t0 = +64.656159
t1 = +62.713550
T_rise = +0.089744
T_fall = +0.091303
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = -9.072126
t0 = +nan
t1 = +1.485320
T_rise = +1.618344
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = -9.072126
t0 = +99.541039
t1 = +nan
T_rise = +1.618344
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = -9.072126
t0 = +99.541039
t1 = +1.485320
T_rise = +nan
T_fall = +0.191585
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.232874
logB = -9.072126
t0 = +99.541039
t1 = +1.485320
T_rise = +1.618344
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.848178
logB = +2.141712
t0 = +80.081973
t1 = +99.604013
T_rise = +0.021344
T_fall = +0.051044
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.032468
logB = +2.323166
t0 = +68.506527
t1 = +61.425387
T_rise = +0.090274
T_fall = +0.091835
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.032490
logB = +2.323208
t0 = +68.503454
t1 = +61.420253
T_rise = +0.091115
T_fall = +0.092712
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.298540
logB = -1.734393
t0 = +68.577317
t1 = +62.427339
T_rise = +0.096525
T_fall = +0.098082
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.110255
logB = -3.437269
t0 = +20.408427
t1 = +56.426123
T_rise = +0.003367
T_fall = +0.000654
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -2.607496
t0 = +90.185121
t1 = +7.603807
T_rise = +54.014183
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = +nan
t0 = +90.185121
t1 = +7.603807
T_rise = +54.014183
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = -2.607496
t0 = +nan
t1 = +7.603807
T_rise = +54.014183
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = -2.607496
t0 = +90.185121
t1 = +nan
T_rise = +54.014183
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = -2.607496
t0 = +90.185121
t1 = +7.603807
T_rise = +nan
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = -2.607496
t0 = +90.185121
t1 = +7.603807
T_rise = +54.014183
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.565207
logB = +3.706773
t0 = +59.089529
t1 = +11.485889
T_rise = +0.051647
T_fall = +0.051768
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.537262
logB = +3.675780
t0 = +59.171135
t1 = +11.142725
T_rise = +0.019843
T_fall = +0.019921
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.915256
logB = -2.498216
t0 = +66.889389
t1 = +86.954230
T_rise = +0.093344
T_fall = +0.094878
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.910686
logB = -2.502309
t0 = +66.888041
t1 = +86.891773
T_rise = +0.079315
T_fall = +0.080349
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -2.607496
t0 = +90.185121
t1 = +7.603807
T_rise = +54.014183
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = +nan
t0 = +90.185121
t1 = +7.603807
T_rise = +54.014183
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = -2.607496
t0 = +nan
t1 = +7.603807
T_rise = +54.014183
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = -2.607496
t0 = +90.185121
t1 = +nan
T_rise = +54.014183
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = -2.607496
t0 = +90.185121
t1 = +7.603807
T_rise = +nan
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = -2.607496
t0 = +90.185121
t1 = +7.603807
T_rise = +54.014183
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.058632
logB = -4.183864
t0 = +82.902595
t1 = +2.570327
T_rise = +0.037910
T_fall = +0.063668
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -2.607496
t0 = +90.185121
t1 = +7.603807
T_rise = +54.014183
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = +nan
t0 = +90.185121
t1 = +7.603807
T_rise = +54.014183
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = -2.607496
t0 = +nan
t1 = +7.603807
T_rise = +54.014183
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = -2.607496
t0 = +90.185121
t1 = +nan
T_rise = +54.014183
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = -2.607496
t0 = +90.185121
t1 = +7.603807
T_rise = +nan
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = -2.607496
t0 = +90.185121
t1 = +7.603807
T_rise = +54.014183
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.503943
logB = -4.914077
t0 = +10.479280
t1 = +20.518670
T_rise = +0.012872
T_fall = +0.009454
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.503943
logB = -4.914077
t0 = +10.479280
t1 = +20.518670
T_rise = +0.012872
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.503943
logB = -4.914077
t0 = +10.479280
t1 = +20.518670
T_rise = +0.012872
T_fall = +0.002858
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.503937
logB = -4.924640
t0 = +99.953179
t1 = +20.499763
T_rise = +0.012872
T_fall = +0.000016
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.503937
logB = -4.924640
t0 = +99.953179
t1 = +20.499763
T_rise = +0.012872
T_fall = +0.127199
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.240181
logB = +0.946815
t0 = +39.081484
t1 = +11.757063
T_rise = +0.029833
T_fall = +0.029840
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.830377
logB = -4.566501
t0 = +83.924563
t1 = +78.500724
T_rise = +0.014349
T_fall = +0.008949
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.423774
logB = -7.344393
t0 = +28.979510
t1 = +18.114612
T_rise = +0.000283
T_fall = +0.004628
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.440926
logB = -9.891153
t0 = +94.151426
t1 = +97.490062
T_rise = +0.053440
T_fall = +0.105022
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.624676
logB = -2.683618
t0 = +2.095996
t1 = +41.467049
T_rise = +0.000392
T_fall = +0.000092
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -2.607496
t0 = +90.185121
t1 = +7.603807
T_rise = +54.014183
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = +nan
t0 = +90.185121
t1 = +7.603807
T_rise = +54.014183
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = -2.607496
t0 = +nan
t1 = +7.603807
T_rise = +54.014183
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = -2.607496
t0 = +90.185121
t1 = +nan
T_rise = +54.014183
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = -2.607496
t0 = +90.185121
t1 = +7.603807
T_rise = +nan
T_fall = +0.238445
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.282896
logB = -2.607496
t0 = +90.185121
t1 = +7.603807
T_rise = +54.014183
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.066703
logB = -1.164720
t0 = +4.133569
t1 = +18.464759
T_rise = +0.001003
T_fall = +0.004888
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.763609
logB = -8.562805
t0 = +99.961250
t1 = +3.497802
T_rise = +0.001684
T_fall = +0.083424
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.745505
logB = +2.443111
t0 = +13.090022
t1 = +8.319453
T_rise = +0.000001
T_fall = +0.002470
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.083417
logB = -1.148684
t0 = +4.107524
t1 = +18.753956
T_rise = +0.002776
T_fall = +0.003769
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.542572
logB = -10.623789
t0 = +99.134974
t1 = +1.039869
T_rise = +0.026224
T_fall = +0.012055
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690695
logB = +2.388532
t0 = +13.090004
t1 = +8.790790
T_rise = +0.000000
T_fall = +0.004145
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.320813
logB = +1.999769
t0 = +26.027020
t1 = +26.555343
T_rise = +0.000242
T_fall = +0.021505
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -9.080054
logB = -11.488481
t0 = +99.349592
t1 = +3.802065
T_rise = +0.069723
T_fall = +0.063790
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.225148
logB = -4.914077
t0 = +10.479280
t1 = +20.518670
T_rise = +0.012819
T_fall = +0.009444
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.225148
logB = -4.914077
t0 = +10.479280
t1 = +20.518670
T_rise = +0.012819
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.225148
logB = +4.238507
t0 = +10.479280
t1 = +20.518670
T_rise = +0.012819
T_fall = +nan
m.migrad()
198 objects fitted
Time taken is 37.73 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None,
learning_rate=1.0, n_estimators=50, random_state=None)
Optimised parameters: {'n_estimators': 35, 'base_estimator': DecisionTreeClassifier(class_weight=None, criterion='entropy', max_depth=None,
max_features=None, max_leaf_nodes=None, min_samples_leaf=5,
min_samples_split=2, min_weight_fraction_leaf=0.0,
presort=False, random_state=None, splitter='best')}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -0.217505
t0 = +38.816521
t1 = +52.707628
T_rise = +60.467074
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = +nan
t0 = +38.816521
t1 = +52.707628
T_rise = +60.467074
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = -0.217505
t0 = +nan
t1 = +52.707628
T_rise = +60.467074
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = -0.217505
t0 = +38.816521
t1 = +nan
T_rise = +60.467074
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = -0.217505
t0 = +38.816521
t1 = +52.707628
T_rise = +nan
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = -0.217505
t0 = +38.816521
t1 = +52.707628
T_rise = +60.467074
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.723264
logB = -5.749805
t0 = +29.403242
t1 = +64.619147
T_rise = +0.017410
T_fall = +0.021009
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.295925
logB = +2.207591
t0 = +62.675653
t1 = +59.548939
T_rise = +0.053096
T_fall = +0.080122
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.114991
logB = +2.790066
t0 = +41.140890
t1 = +60.536254
T_rise = +0.000923
T_fall = +0.032251
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -0.217505
t0 = +38.816521
t1 = +52.707628
T_rise = +60.467074
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = +nan
t0 = +38.816521
t1 = +52.707628
T_rise = +60.467074
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = -0.217505
t0 = +nan
t1 = +52.707628
T_rise = +60.467074
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = -0.217505
t0 = +38.816521
t1 = +nan
T_rise = +60.467074
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = -0.217505
t0 = +38.816521
t1 = +52.707628
T_rise = +nan
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = -0.217505
t0 = +38.816521
t1 = +52.707628
T_rise = +60.467074
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.016261
logB = +4.544888
t0 = +71.468688
t1 = +3.143462
T_rise = +0.010560
T_fall = +0.000434
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.861924
logB = -10.632294
t0 = +97.074322
t1 = +97.128355
T_rise = +0.011397
T_fall = +0.001719
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.267089
logB = -0.978136
t0 = +4.090689
t1 = +32.878193
T_rise = +0.000041
T_fall = +0.003926
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.267089
logB = -0.978136
t0 = +4.090689
t1 = +32.878193
T_rise = +0.000041
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.904092
logB = -8.090430
t0 = +94.717428
t1 = +37.015399
T_rise = +0.004962
T_fall = +0.002736
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -0.217505
t0 = +38.816521
t1 = +52.707628
T_rise = +60.467074
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = +nan
t0 = +38.816521
t1 = +52.707628
T_rise = +60.467074
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = -0.217505
t0 = +nan
t1 = +52.707628
T_rise = +60.467074
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = -0.217505
t0 = +38.816521
t1 = +nan
T_rise = +60.467074
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = -0.217505
t0 = +38.816521
t1 = +52.707628
T_rise = +nan
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = -0.217505
t0 = +38.816521
t1 = +52.707628
T_rise = +60.467074
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.951254
logB = -1.283921
t0 = +4.090738
t1 = +32.163746
T_rise = +0.002843
T_fall = +0.000016
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.914227
logB = -1.319713
t0 = +4.090746
t1 = +32.087642
T_rise = +0.002904
T_fall = +0.003315
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = -0.217505
t0 = +38.816521
t1 = +52.707628
T_rise = +nan
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = -0.217505
t0 = +38.816521
t1 = +52.707628
T_rise = +60.467074
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = +nan
t0 = +38.816521
t1 = +52.707628
T_rise = +60.467074
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = -0.217505
t0 = +nan
t1 = +52.707628
T_rise = +60.467074
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = -0.217505
t0 = +38.816521
t1 = +nan
T_rise = +60.467074
T_fall = +0.053206
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.987586
logB = -0.217505
t0 = +38.816521
t1 = +52.707628
T_rise = +60.467074
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.437610
logB = -2.697189
t0 = +35.105988
t1 = +60.311185
T_rise = +0.020528
T_fall = +0.000403
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.994273
logB = -1.242432
t0 = +4.090894
t1 = +33.289662
T_rise = +0.000072
T_fall = +0.002862
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.809188
logB = -6.223162
t0 = +92.328117
t1 = +58.343375
T_rise = +0.033173
T_fall = +0.038465
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.965863
logB = -1.268647
t0 = +3.013843
t1 = +32.116225
T_rise = +0.003090
T_fall = +0.003141
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.891081
logB = +0.614861
t0 = +20.567493
t1 = +76.728156
T_rise = +0.000174
T_fall = +0.007957
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.386167
logB = -11.511317
t0 = +60.263989
t1 = +99.967423
T_rise = +0.018997
T_fall = +0.003330
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.878099
logB = -11.274316
t0 = +97.989286
t1 = +62.598493
T_rise = +0.064686
T_fall = +0.042077
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.734523
logB = -10.393916
t0 = +35.792441
t1 = +1.493672
T_rise = +0.015469
T_fall = +0.009216
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.861548
logB = +2.103379
t0 = +37.505248
t1 = +10.703171
T_rise = +0.026776
T_fall = +0.012385
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.746839
logB = -10.567572
t0 = +95.892414
t1 = +65.780556
T_rise = +0.009284
T_fall = +0.061863
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.367313
logB = -0.575365
t0 = +95.345288
t1 = +83.979393
T_rise = +0.104431
T_fall = +0.096062
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.706433
logB = +4.603619
t0 = +46.713008
t1 = +9.788833
T_rise = +0.049476
T_fall = +0.050529
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.768015
logB = -2.947681
t0 = +13.802448
t1 = +39.661232
T_rise = +0.000904
T_fall = +0.001903
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.768015
logB = -2.947681
t0 = +13.802448
t1 = +39.661232
T_rise = +0.000904
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.215860
logB = +1.572441
t0 = +99.820984
t1 = +97.553408
T_rise = +0.013136
T_fall = +0.009336
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.753455
logB = +0.379834
t0 = +66.664927
t1 = +49.592024
T_rise = +0.008381
T_fall = +0.011432
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: divide by zero encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.006092
logB = -1.409302
t0 = +99.909799
t1 = +63.785930
T_rise = +0.068132
T_fall = +0.107602
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.822139
logB = -0.472623
t0 = +14.931015
t1 = +43.982177
T_rise = +0.000850
T_fall = +0.007834
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.141664
logB = +1.514037
t0 = +41.182253
t1 = +97.216521
T_rise = +0.020171
T_fall = +0.016458
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.947705
logB = -6.096318
t0 = +71.994567
t1 = +60.230550
T_rise = +0.035252
T_fall = +0.041658
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.200013
logB = +4.523596
t0 = +60.285008
t1 = +32.355776
T_rise = +0.013112
T_fall = +0.070808
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690580
logB = +2.388413
t0 = +13.090002
t1 = +8.791899
T_rise = +0.000000
T_fall = +0.004172
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.901499
logB = -2.121098
t0 = +0.935814
t1 = +22.389096
T_rise = +0.000011
T_fall = +0.000382
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.365239
logB = -10.410813
t0 = +18.903017
t1 = +33.093825
T_rise = +0.001085
T_fall = +0.000946
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.091185
logB = -1.140994
t0 = +3.984495
t1 = +17.161884
T_rise = +0.003186
T_fall = +0.000414
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629413
logB = -0.619355
t0 = +9.036298
t1 = +19.823519
T_rise = +0.001505
T_fall = +0.010145
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.570085
logB = -0.676654
t0 = +8.979472
t1 = +19.505017
T_rise = +0.001215
T_fall = +0.002565
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.975097
logB = -0.647352
t0 = +13.236273
t1 = +16.124853
T_rise = +0.000437
T_fall = +0.010435
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.832778
logB = +4.226451
t0 = +15.948178
t1 = +23.965632
T_rise = +0.000138
T_fall = +0.000032
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.680609
logB = +2.378501
t0 = +13.090001
t1 = +8.877971
T_rise = +0.000007
T_fall = +0.007274
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.912402
logB = -2.104616
t0 = +0.935073
t1 = +22.316809
T_rise = +0.000001
T_fall = +0.000507
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629930
logB = -0.618851
t0 = +9.036453
t1 = +19.826208
T_rise = +0.001535
T_fall = +0.010270
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.568601
logB = -0.678098
t0 = +8.978132
t1 = +19.497370
T_rise = +0.001299
T_fall = +0.003115
m.migrad()
198 objects fitted
Time taken is 31.44 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None,
learning_rate=1.0, n_estimators=50, random_state=None)
Optimised parameters: {'n_estimators': 25, 'base_estimator': DecisionTreeClassifier(class_weight=None, criterion='entropy', max_depth=None,
max_features=None, max_leaf_nodes=None, min_samples_leaf=5,
min_samples_split=2, min_weight_fraction_leaf=0.0,
presort=False, random_state=None, splitter='best')}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.091037
logB = -3.383400
t0 = +32.243921
t1 = +65.228157
T_rise = +0.002161
T_fall = +0.019925
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.615048
logB = +1.393526
t0 = +60.680463
t1 = +66.610671
T_rise = +0.012986
T_fall = +0.025758
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.920157
logB = +1.623523
t0 = +96.953251
t1 = +64.207684
T_rise = +0.000000
T_fall = +0.041009
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.527615
logB = -3.267713
t0 = +98.761977
t1 = +99.981845
T_rise = +0.056163
T_fall = +0.002852
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.889213
logB = -9.477417
t0 = +83.244692
t1 = +5.744592
T_rise = +0.005576
T_fall = +0.014666
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.930292
logB = +1.633679
t0 = +2.016022
t1 = +66.024238
T_rise = +0.000003
T_fall = +0.002814
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.814741
logB = +1.518609
t0 = +2.016032
t1 = +62.767646
T_rise = +0.000004
T_fall = +0.001400
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.775754
logB = +0.532784
t0 = +6.590241
t1 = +5.447223
T_rise = +0.004546
T_fall = +0.000625
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.887348
logB = -1.345417
t0 = +4.062515
t1 = +33.701192
T_rise = +0.004450
T_fall = +0.005524
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.886708
logB = -1.346035
t0 = +4.062412
t1 = +33.700035
T_rise = +0.004415
T_fall = +0.005678
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.859888
logB = -1.368317
t0 = +4.060592
t1 = +33.641277
T_rise = +0.002116
T_fall = +0.005663
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.861359
logB = -1.367105
t0 = +4.060656
t1 = +33.644522
T_rise = +0.004407
T_fall = +0.005669
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.718354
logB = +2.408209
t0 = +5.004016
t1 = +21.156099
T_rise = +0.000002
T_fall = +0.000826
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.677878
logB = +2.369771
t0 = +5.004015
t1 = +20.652167
T_rise = +0.000002
T_fall = +0.000043
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690332
logB = +2.382397
t0 = +5.004015
t1 = +20.656675
T_rise = +0.000001
T_fall = +0.005617
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.701396
logB = +2.393319
t0 = +5.004015
t1 = +20.608375
T_rise = +0.000001
T_fall = +0.003570
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.701396
logB = +2.393319
t0 = +5.004015
t1 = +20.608375
T_rise = +0.000001
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.925591
logB = +1.629038
t0 = +2.016001
t1 = +65.592197
T_rise = +0.000000
T_fall = +0.000091
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.870310
logB = +3.583800
t0 = +2.018282
t1 = +26.529946
T_rise = +0.000723
T_fall = +0.002369
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.049903
logB = -1.379198
t0 = +99.537197
t1 = +17.905033
T_rise = +0.001488
T_fall = +0.033013
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.762419
logB = -1.766943
t0 = +55.558779
t1 = +95.573904
T_rise = +0.033316
T_fall = +0.022159
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.442468
logB = -2.433222
t0 = +89.782729
t1 = +89.982020
T_rise = +0.034993
T_fall = +0.032238
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.583127
logB = -2.840003
t0 = +91.874403
t1 = +11.560556
T_rise = +0.119739
T_fall = +0.120197
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.940059
logB = -2.562995
t0 = +91.863401
t1 = +10.010125
T_rise = +0.127509
T_fall = +0.126974
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.836512
logB = +0.573926
t0 = +65.639588
t1 = +29.843584
T_rise = +0.012760
T_fall = +0.020199
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.801041
logB = -2.269030
t0 = +0.941986
t1 = +23.009424
T_rise = +0.000679
T_fall = +0.000066
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.128474
logB = -1.105222
t0 = +4.136134
t1 = +18.787905
T_rise = +0.000757
T_fall = +0.002330
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.068409
logB = -1.162938
t0 = +4.137318
t1 = +17.024534
T_rise = +0.004404
T_fall = +0.004716
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.078634
logB = -1.153084
t0 = +4.137317
t1 = +17.057569
T_rise = +0.004146
T_fall = +0.002112
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.126672
logB = -1.106771
t0 = +4.137309
t1 = +17.216741
T_rise = +0.003919
T_fall = +0.003665
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.073058
logB = -1.158458
t0 = +4.137318
t1 = +17.039158
T_rise = +0.004174
T_fall = +0.003399
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.128770
logB = -1.104959
t0 = +4.082709
t1 = +18.789911
T_rise = +0.005652
T_fall = +0.002384
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.303895
logB = -0.932770
t0 = +18.985447
t1 = +21.329708
T_rise = +0.013496
T_fall = +0.012724
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.303999
logB = -0.932669
t0 = +18.983693
t1 = +21.330881
T_rise = +0.010969
T_fall = +0.012711
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690487
logB = +2.388330
t0 = +13.090053
t1 = +8.792472
T_rise = +0.000001
T_fall = +0.004204
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.911672
logB = -2.105717
t0 = +0.935124
t1 = +22.321635
T_rise = +0.000001
T_fall = +0.000498
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629896
logB = -0.618883
t0 = +9.036443
t1 = +19.826034
T_rise = +0.001533
T_fall = +0.010262
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.568698
logB = -0.678003
t0 = +8.978219
t1 = +19.497869
T_rise = +0.001293
T_fall = +0.003078
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.895015
logB = -2.130873
t0 = +0.936244
t1 = +22.431702
T_rise = +0.000023
T_fall = +0.000316
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.842470
logB = -2.208961
t0 = +0.939550
t1 = +22.763723
T_rise = +0.000280
T_fall = +0.000012
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.872691
logB = -2.164299
t0 = +0.937685
t1 = +22.575617
T_rise = +0.000098
T_fall = +0.000137
m.migrad()
198 objects fitted
Time taken is 32.19 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None,
learning_rate=1.0, n_estimators=50, random_state=None)
Optimised parameters: {'n_estimators': 45, 'base_estimator': DecisionTreeClassifier(class_weight=None, criterion='entropy', max_depth=None,
max_features=None, max_leaf_nodes=None, min_samples_leaf=5,
min_samples_split=2, min_weight_fraction_leaf=0.0,
presort=False, random_state=None, splitter='best')}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.210618
logB = -3.876466
t0 = +9.136078
t1 = +3.413181
T_rise = +0.004149
T_fall = +0.002315
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.210618
logB = -3.876466
t0 = +9.136078
t1 = +3.413181
T_rise = +0.004149
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.466168
logB = -1.944760
t0 = +5.010000
t1 = +5.060944
T_rise = +0.004157
T_fall = +0.006791
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.291241
logB = -1.944102
t0 = +4.078293
t1 = +57.195876
T_rise = +0.001464
T_fall = +0.005212
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.307460
logB = -2.506050
t0 = +4.094371
t1 = +51.036725
T_rise = +0.000269
T_fall = +0.001945
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.307460
logB = -2.506050
t0 = +4.094371
t1 = +51.036725
T_rise = +0.000269
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.944859
logB = +1.648074
t0 = +2.016007
t1 = +65.037242
T_rise = +0.000001
T_fall = +0.000737
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.391339
logB = +1.099917
t0 = +2.016013
t1 = +99.910080
T_rise = +0.000001
T_fall = +0.000038
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.775364
logB = -1.452162
t0 = +2.597695
t1 = +31.366001
T_rise = +0.000017
T_fall = +0.000480
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.506274
logB = +0.230131
t0 = +2.016984
t1 = +61.960821
T_rise = +0.000139
T_fall = +0.002005
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.507770
logB = +0.231595
t0 = +2.016973
t1 = +61.946946
T_rise = +0.000129
T_fall = +0.002446
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.021894
logB = +0.739919
t0 = +2.021271
t1 = +2.576007
T_rise = +0.000078
T_fall = +0.000013
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.840065
logB = +1.980325
t0 = +26.932769
t1 = +1.063518
T_rise = +0.009742
T_fall = +0.006747
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.056628
logB = -5.325005
t0 = +69.016772
t1 = +1.846793
T_rise = +0.066972
T_fall = +0.066935
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.071541
logB = -5.317115
t0 = +69.153729
t1 = +1.895039
T_rise = +0.012805
T_fall = +0.012925
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.339863
logB = +0.310418
t0 = +29.127024
t1 = +16.055394
T_rise = +0.016317
T_fall = +0.000167
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.143646
logB = -1.108982
t0 = +35.502810
t1 = +58.835191
T_rise = +0.000005
T_fall = +0.033319
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.588198
logB = +4.475355
t0 = +90.337993
t1 = +11.688791
T_rise = +0.018574
T_fall = +0.000000
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.635643
logB = -1.494683
t0 = +57.402366
t1 = +60.902577
T_rise = +0.053163
T_fall = +0.030117
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -9.690504
logB = +4.555826
t0 = +96.083863
t1 = +75.778728
T_rise = +0.014095
T_fall = +0.028139
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.580961
logB = -1.711488
t0 = +58.942102
t1 = +64.905884
T_rise = +0.009141
T_fall = +0.048879
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.584342
logB = +1.014310
t0 = +14.942070
t1 = +58.008983
T_rise = +0.000429
T_fall = +0.009414
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.902611
logB = -10.133374
t0 = +11.672507
t1 = +99.475990
T_rise = +0.010405
T_fall = +0.000001
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.900629
logB = -2.122426
t0 = +0.935869
t1 = +22.394957
T_rise = +0.000013
T_fall = +0.000373
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629370
logB = -0.619396
t0 = +9.036285
t1 = +19.823296
T_rise = +0.001503
T_fall = +0.010135
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.570205
logB = -0.676537
t0 = +8.979582
t1 = +19.505638
T_rise = +0.001209
T_fall = +0.002522
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.919435
logB = -2.093914
t0 = +0.934591
t1 = +22.269413
T_rise = +0.000001
T_fall = +0.000596
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.832973
logB = -2.222871
t0 = +0.940114
t1 = +22.821424
T_rise = +0.000356
T_fall = +0.000001
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.873270
logB = -2.163429
t0 = +0.937650
t1 = +22.571871
T_rise = +0.000096
T_fall = +0.000140
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.772198
logB = -2.310044
t0 = +0.943626
t1 = +23.172790
T_rise = +0.001059
T_fall = +0.000266
m.migrad()
198 objects fitted
Time taken is 23.07 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None,
learning_rate=1.0, n_estimators=50, random_state=None)
Optimised parameters: {'n_estimators': 35, 'base_estimator': DecisionTreeClassifier(class_weight=None, criterion='entropy', max_depth=None,
max_features=None, max_leaf_nodes=None, min_samples_leaf=5,
min_samples_split=2, min_weight_fraction_leaf=0.0,
presort=False, random_state=None, splitter='best')}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.913252
logB = +1.616716
t0 = +85.819598
t1 = +65.017052
T_rise = +0.000030
T_fall = +0.033865
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -7.770085
logB = -10.545954
t0 = +51.345090
t1 = +55.812848
T_rise = +0.000191
T_fall = +0.033670
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.944232
logB = +1.647445
t0 = +2.016003
t1 = +64.972603
T_rise = +0.000000
T_fall = +0.000223
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.123687
logB = +0.807833
t0 = +41.765479
t1 = +76.541451
T_rise = +0.000397
T_fall = +0.033120
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.978855
logB = -1.257192
t0 = +4.091456
t1 = +31.593775
T_rise = +0.000452
T_fall = +0.004700
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.981276
logB = -8.144134
t0 = +84.370240
t1 = +0.238915
T_rise = +0.047220
T_fall = +0.046408
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.947333
logB = -8.131437
t0 = +83.993832
t1 = +0.281221
T_rise = +0.087758
T_fall = +0.087062
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.753477
logB = +0.473986
t0 = +5.005225
t1 = +23.471059
T_rise = +0.000154
T_fall = +0.005179
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.753477
logB = +0.473986
t0 = +5.005225
t1 = +23.471059
T_rise = +0.000154
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.102101
logB = -9.447141
t0 = +93.614513
t1 = +27.630700
T_rise = +0.109824
T_fall = +0.007256
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.129692
logB = -2.752651
t0 = +36.606779
t1 = +28.519591
T_rise = +0.050964
T_fall = +0.050711
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -9.888297
logB = -10.631646
t0 = +72.784725
t1 = +63.625201
T_rise = +0.046286
T_fall = +0.024480
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -6.360456
logB = -10.343693
t0 = +92.485463
t1 = +29.896017
T_rise = +0.080684
T_fall = +0.001613
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.506833
logB = +2.522973
t0 = +98.006473
t1 = +0.013550
T_rise = +0.114822
T_fall = +0.000768
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.322510
logB = +2.089421
t0 = +87.314273
t1 = +13.223956
T_rise = +0.000245
T_fall = +0.060798
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.322510
logB = +2.089421
t0 = +87.314273
t1 = +13.223956
T_rise = +0.000245
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.312508
logB = +3.864857
t0 = +73.329370
t1 = +53.559289
T_rise = +0.064322
T_fall = +0.095870
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.139119
logB = -0.010761
t0 = +4.571406
t1 = +37.801313
T_rise = +0.003694
T_fall = +0.000732
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.865356
logB = -2.175208
t0 = +0.938145
t1 = +22.622017
T_rise = +0.000134
T_fall = +0.000094
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.900039
logB = -2.123293
t0 = +0.935913
t1 = +22.398655
T_rise = +0.000014
T_fall = +0.000366
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.809587
logB = -2.256719
t0 = +0.941499
t1 = +22.959609
T_rise = +0.000583
T_fall = +0.000033
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629343
logB = -0.619424
t0 = +9.036278
t1 = +19.823151
T_rise = +0.001501
T_fall = +0.010129
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.570282
logB = -0.676463
t0 = +8.979653
t1 = +19.506035
T_rise = +0.001204
T_fall = +0.002495
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.349105
logB = -1.237104
t0 = +9.596981
t1 = +54.632379
T_rise = +0.001089
T_fall = +0.008656
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.349105
logB = -1.237104
t0 = +nan
t1 = +54.632379
T_rise = +0.001089
T_fall = +0.008656
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690850
logB = +2.388685
t0 = +13.090003
t1 = +8.789471
T_rise = +0.000000
T_fall = +0.004100
m.migrad()
198 objects fitted
Time taken is 20.92 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None,
learning_rate=1.0, n_estimators=50, random_state=None)
Optimised parameters: {'n_estimators': 65, 'base_estimator': DecisionTreeClassifier(class_weight=None, criterion='entropy', max_depth=None,
max_features=None, max_leaf_nodes=None, min_samples_leaf=15,
min_samples_split=2, min_weight_fraction_leaf=0.0,
presort=False, random_state=None, splitter='best')}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.209996
logB = -0.837704
t0 = +81.511630
t1 = +7.550902
T_rise = +0.000349
T_fall = +0.018122
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.982842
logB = -9.420823
t0 = +34.851762
t1 = +63.098305
T_rise = +0.004256
T_fall = +0.037093
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.335786
logB = +2.827066
t0 = +6.566360
t1 = +3.946139
T_rise = +0.008606
T_fall = +0.008588
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.465527
logB = +4.134260
t0 = +63.493709
t1 = +68.411075
T_rise = +0.056053
T_fall = +0.086599
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.348479
logB = +0.997220
t0 = +7.044112
t1 = +3.726541
T_rise = +0.006885
T_fall = +0.000001
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.348479
logB = +0.997220
t0 = +7.044112
t1 = +3.726541
T_rise = +0.006885
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.965622
logB = +1.668835
t0 = +53.612030
t1 = +67.137074
T_rise = +0.000029
T_fall = +0.074538
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.965622
logB = +1.668835
t0 = +53.612030
t1 = +67.137074
T_rise = +0.000029
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.698752
logB = +4.267648
t0 = +5.147749
t1 = +13.602846
T_rise = +0.001879
T_fall = +0.000076
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.885839
logB = -1.346718
t0 = +4.061095
t1 = +33.324031
T_rise = +0.002085
T_fall = +0.002448
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.942546
logB = -1.304723
t0 = +4.062236
t1 = +33.437518
T_rise = +0.001122
T_fall = +0.004802
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.674173
logB = +0.394078
t0 = +79.059348
t1 = +2.983579
T_rise = +0.002655
T_fall = +0.031062
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.922377
logB = +1.625645
t0 = +87.041459
t1 = +64.415990
T_rise = +0.000000
T_fall = +0.037527
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.734292
logB = +0.453190
t0 = +5.004279
t1 = +29.033991
T_rise = +0.000032
T_fall = +0.005005
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.755699
logB = +0.474192
t0 = +5.004272
t1 = +29.139038
T_rise = +0.000032
T_fall = +0.001834
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.755699
logB = +0.474192
t0 = +5.004272
t1 = +29.139038
T_rise = +0.000032
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.702107
logB = -4.437882
t0 = +97.820029
t1 = +87.657114
T_rise = +0.042814
T_fall = +0.008884
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.850642
logB = -10.510535
t0 = +43.254769
t1 = +0.135474
T_rise = +0.049903
T_fall = +0.040806
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.381600
logB = -6.070805
t0 = +82.320987
t1 = +79.477794
T_rise = +0.042663
T_fall = +0.004127
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.766421
logB = +1.974527
t0 = +99.025093
t1 = +99.528728
T_rise = +0.075169
T_fall = +0.001852
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.976063
logB = +1.631576
t0 = +57.462315
t1 = +9.413618
T_rise = +0.049981
T_fall = +0.000029
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -2.153134
logB = -7.307475
t0 = +97.229763
t1 = +59.719286
T_rise = +0.041638
T_fall = +0.000244
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.065305
logB = -1.165932
t0 = +4.042605
t1 = +16.958571
T_rise = +0.000001
T_fall = +0.004089
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.430086
logB = -0.754543
t0 = +4.137132
t1 = +8.255679
T_rise = +0.000019
T_fall = +0.000207
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.430086
logB = -0.754543
t0 = +4.137132
t1 = +8.255679
T_rise = +0.000019
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.909211
logB = -2.109418
t0 = +0.935298
t1 = +22.337825
T_rise = +0.000003
T_fall = +0.000468
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629782
logB = -0.618994
t0 = +9.036407
t1 = +19.825442
T_rise = +0.001526
T_fall = +0.010234
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.569030
logB = -0.677680
t0 = +8.978516
t1 = +19.499577
T_rise = +0.001275
T_fall = +0.002952
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.688619
logB = +2.386463
t0 = +13.090011
t1 = +8.808871
T_rise = +0.000001
T_fall = +0.004716
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.084592
logB = -1.147542
t0 = +4.140778
t1 = +18.718152
T_rise = +0.003892
T_fall = +0.003034
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.812752
logB = -2.252184
t0 = +0.941309
t1 = +22.941318
T_rise = +0.000549
T_fall = +0.000024
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.873787
logB = -2.162660
t0 = +0.937617
t1 = +22.568601
T_rise = +0.000093
T_fall = +0.000144
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.805537
logB = +0.383152
t0 = +1.366856
t1 = +38.441737
T_rise = +0.000118
T_fall = +0.000241
m.migrad()
198 objects fitted
Time taken is 20.60 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None,
learning_rate=1.0, n_estimators=50, random_state=None)
Optimised parameters: {'n_estimators': 65, 'base_estimator': DecisionTreeClassifier(class_weight=None, criterion='entropy', max_depth=None,
max_features=None, max_leaf_nodes=None, min_samples_leaf=5,
min_samples_split=2, min_weight_fraction_leaf=0.0,
presort=False, random_state=None, splitter='best')}
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.313592
logB = +3.647974
t0 = +80.057478
t1 = +1.351416
T_rise = +0.108420
T_fall = +0.108242
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.438870
logB = +0.771078
t0 = +12.775255
t1 = +59.120295
T_rise = +0.011512
T_fall = +0.017751
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.438870
logB = +0.771078
t0 = +12.775255
t1 = +59.120295
T_rise = +0.011512
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.758458
logB = -7.116454
t0 = +80.555809
t1 = +6.506265
T_rise = +0.012399
T_fall = +0.106734
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.355703
logB = -2.547797
t0 = +99.991758
t1 = +16.780896
T_rise = +0.003605
T_fall = +0.019144
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.111696
logB = -3.887129
t0 = +81.862421
t1 = +91.327553
T_rise = +0.020038
T_fall = +0.062830
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -5.431271
logB = +3.728424
t0 = +56.107673
t1 = +78.788537
T_rise = +0.028551
T_fall = +0.000950
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.584573
logB = +1.292185
t0 = +3.714615
t1 = +20.213724
T_rise = +0.000114
T_fall = +0.001119
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.626655
logB = +2.164738
t0 = +58.478902
t1 = +68.720382
T_rise = +0.031214
T_fall = +0.083439
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.905949
logB = +4.600371
t0 = +4.280498
t1 = +65.476878
T_rise = +0.000114
T_fall = +0.001918
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.626468
logB = +2.164514
t0 = +58.482906
t1 = +68.711184
T_rise = +0.031838
T_fall = +0.081068
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.626454
logB = +2.164497
t0 = +58.483201
t1 = +68.710507
T_rise = +0.031884
T_fall = +0.080894
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.580573
logB = +2.112131
t0 = +58.470718
t1 = +69.025212
T_rise = +0.031846
T_fall = +0.083223
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.920415
logB = +1.623943
t0 = +2.016001
t1 = +66.389309
T_rise = +0.000000
T_fall = +0.000199
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.097320
logB = -6.172126
t0 = +57.485654
t1 = +0.499767
T_rise = +0.038547
T_fall = +0.064776
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -9.106479
logB = +4.288676
t0 = +54.007366
t1 = +5.375984
T_rise = +0.004283
T_fall = +0.036393
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.961416
logB = -1.273805
t0 = +4.090042
t1 = +29.353224
T_rise = +0.000071
T_fall = +0.005775
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.194122
logB = -1.057284
t0 = +21.411939
t1 = +32.838609
T_rise = +0.009629
T_fall = +0.023411
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.931337
logB = -1.303043
t0 = +4.097677
t1 = +30.801391
T_rise = +0.002457
T_fall = +0.000033
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.934495
logB = +1.637786
t0 = +2.016001
t1 = +65.060093
T_rise = +0.000000
T_fall = +0.001990
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.552128
logB = +0.274357
t0 = +11.360107
t1 = +2.668974
T_rise = +0.009423
T_fall = +0.011623
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.552128
logB = +0.274357
t0 = +23.873112
t1 = +2.668974
T_rise = +0.009423
T_fall = +0.011623
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.552128
logB = +0.274357
t0 = +9.334324
t1 = +2.668974
T_rise = +0.009423
T_fall = +0.011623
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.904402
logB = +4.314155
t0 = +54.902869
t1 = +82.757930
T_rise = +0.018557
T_fall = +0.000000
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.850370
logB = -2.965259
t0 = +62.528055
t1 = +1.064802
T_rise = +0.000115
T_fall = +0.000234
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.119721
logB = -1.993914
t0 = +33.771254
t1 = +32.472632
T_rise = +0.000384
T_fall = +0.005278
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.546575
logB = -2.684324
t0 = +75.688688
t1 = +26.254083
T_rise = +0.090120
T_fall = +0.032768
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.141239
logB = +3.907048
t0 = +22.637197
t1 = +38.160600
T_rise = +0.020098
T_fall = +0.001506
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.024109
logB = +2.705869
t0 = +4.137008
t1 = +4.059974
T_rise = +0.000000
T_fall = +0.005283
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.240305
logB = +2.920692
t0 = +26.668579
t1 = +2.839481
T_rise = +0.000023
T_fall = +0.002100
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.240305
logB = +2.920692
t0 = +26.668579
t1 = +2.839481
T_rise = +0.000023
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.275749
logB = -0.960088
t0 = +12.020217
t1 = +25.162715
T_rise = +0.000651
T_fall = +0.002399
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.893243
logB = -2.133511
t0 = +0.936367
t1 = +22.443052
T_rise = +0.000028
T_fall = +0.000298
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.272847
logB = -1.275801
t0 = +98.101385
t1 = +15.002596
T_rise = +0.000002
T_fall = +0.002937
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.353543
logB = +1.533351
t0 = +85.963148
t1 = +9.770676
T_rise = +0.025112
T_fall = +0.090159
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.521804
logB = -4.600730
t0 = +72.679622
t1 = +55.569646
T_rise = +0.044287
T_fall = +0.042381
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.838456
logB = -2.214851
t0 = +0.939789
t1 = +22.788216
T_rise = +0.000311
T_fall = +0.000005
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.979097
logB = -0.285116
t0 = +12.022989
t1 = +32.337405
T_rise = +0.000151
T_fall = +0.013797
m.migrad()
198 objects fitted
Time taken is 21.07 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None,
learning_rate=1.0, n_estimators=50, random_state=None)
Optimised parameters: {'n_estimators': 75, 'base_estimator': DecisionTreeClassifier(class_weight=None, criterion='entropy', max_depth=None,
max_features=None, max_leaf_nodes=None, min_samples_leaf=5,
min_samples_split=2, min_weight_fraction_leaf=0.0,
presort=False, random_state=None, splitter='best')}
WARNING: Upper boundary on parameter n_estimators may be too low. Optimum may not have been reached.
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.662497
logB = -5.289170
t0 = +5.020226
t1 = +10.675188
T_rise = +0.000063
T_fall = +0.001428
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.441486
logB = -2.311454
t0 = +5.020451
t1 = +9.401942
T_rise = +0.000033
T_fall = +0.003417
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.736251
logB = +3.385446
t0 = +5.027006
t1 = +9.281423
T_rise = +0.000000
T_fall = +0.005028
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.174167
logB = -5.389097
t0 = +4.097916
t1 = +87.791097
T_rise = +0.000399
T_fall = +0.001192
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -3.174167
logB = -5.389097
t0 = +4.097916
t1 = +87.791097
T_rise = +0.000399
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.097153
logB = -1.944967
t0 = +43.235397
t1 = +6.252509
T_rise = +0.001484
T_fall = +0.002614
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.915109
logB = -1.318435
t0 = +4.099970
t1 = +32.878873
T_rise = +0.000462
T_fall = +0.000017
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.852222
logB = -1.378922
t0 = +4.090278
t1 = +23.456512
T_rise = +0.000480
T_fall = +0.000570
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.906743
logB = -1.326258
t0 = +4.090275
t1 = +23.691404
T_rise = +0.000474
T_fall = +0.004147
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.227583
logB = +0.942117
t0 = +5.027021
t1 = +5.073688
T_rise = +0.003334
T_fall = +0.003516
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.227583
logB = +0.942117
t0 = +5.027021
t1 = +5.073688
T_rise = +0.003334
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.209402
logB = -1.718012
t0 = +86.801976
t1 = +67.072128
T_rise = +0.029757
T_fall = +0.105399
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.211885
logB = -8.450221
t0 = +99.999978
t1 = +14.412726
T_rise = +0.130966
T_fall = +0.050030
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.508565
logB = -9.568234
t0 = +63.093339
t1 = +86.783191
T_rise = +0.033122
T_fall = +0.016151
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690989
logB = +2.388843
t0 = +13.090002
t1 = +8.787815
T_rise = +0.000004
T_fall = +0.004076
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.887383
logB = +2.582925
t0 = +74.509734
t1 = +4.706672
T_rise = +0.000000
T_fall = +0.002913
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.915516
logB = -2.099874
t0 = +0.934862
t1 = +22.295810
T_rise = +0.000000
T_fall = +0.000546
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.873707
logB = -2.162815
t0 = +0.937615
t1 = +22.569384
T_rise = +0.000094
T_fall = +0.000144
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.504841
logB = -1.145518
t0 = +82.619938
t1 = +17.019854
T_rise = +0.000026
T_fall = +0.044613
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.630072
logB = -0.618712
t0 = +9.036498
t1 = +19.826952
T_rise = +0.001543
T_fall = +0.010306
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.568182
logB = -0.678506
t0 = +8.977757
t1 = +19.495214
T_rise = +0.001323
T_fall = +0.003278
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.790900
logB = -2.283507
t0 = +0.942571
t1 = +23.067408
T_rise = +0.000803
T_fall = +0.000121
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.180350
logB = -1.051475
t0 = +12.354650
t1 = +19.108231
T_rise = +0.000050
T_fall = +0.000614
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690495
logB = +2.388335
t0 = +13.090003
t1 = +8.792498
T_rise = +0.000000
T_fall = +0.004196
m.migrad()
198 objects fitted
Time taken is 25.87 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None,
learning_rate=1.0, n_estimators=50, random_state=None)
Optimised parameters: {'n_estimators': 75, 'base_estimator': DecisionTreeClassifier(class_weight=None, criterion='entropy', max_depth=None,
max_features=None, max_leaf_nodes=None, min_samples_leaf=15,
min_samples_split=2, min_weight_fraction_leaf=0.0,
presort=False, random_state=None, splitter='best')}
WARNING: Upper boundary on parameter n_estimators may be too low. Optimum may not have been reached.
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.052116
logB = -5.644121
t0 = +79.003573
t1 = +96.947648
T_rise = +0.000770
T_fall = +0.077131
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.683175
logB = -0.518647
t0 = +4.091857
t1 = +4.053850
T_rise = +0.000333
T_fall = +0.001239
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.683175
logB = -0.518647
t0 = +4.091857
t1 = +4.053850
T_rise = +0.000333
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.098536
logB = -1.144148
t0 = +88.852136
t1 = +33.739579
T_rise = +0.003414
T_fall = +0.082495
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.809153
logB = -7.558458
t0 = +37.149408
t1 = +98.275442
T_rise = +0.000245
T_fall = +0.001356
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.897569
logB = -2.288970
t0 = +37.673854
t1 = +13.892209
T_rise = +0.002041
T_fall = +0.031538
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -9.566861
logB = -2.237858
t0 = +92.073138
t1 = +40.544598
T_rise = +0.111921
T_fall = +0.033278
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.552067
logB = -11.456869
t0 = +46.883567
t1 = +94.233599
T_rise = +0.012423
T_fall = +0.054425
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.765180
logB = -11.490753
t0 = +99.448080
t1 = +26.492187
T_rise = +0.000268
T_fall = +0.055219
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +5.983713
logB = +2.342322
t0 = +51.237578
t1 = +99.689228
T_rise = +0.002287
T_fall = +0.003141
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -10.717334
logB = -9.286225
t0 = +76.372838
t1 = +0.689658
T_rise = +0.060669
T_fall = +0.013080
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -0.215929
logB = +3.638552
t0 = +45.108501
t1 = +74.366787
T_rise = +0.024309
T_fall = +0.057463
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.904870
logB = +4.204692
t0 = +54.227613
t1 = +95.670880
T_rise = +0.016044
T_fall = +0.005506
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.650696
logB = -4.428436
t0 = +72.881458
t1 = +7.616446
T_rise = +0.000390
T_fall = +0.011730
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.690612
logB = +2.388446
t0 = +13.090003
t1 = +8.791595
T_rise = +0.000000
T_fall = +0.004165
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.849772
logB = -2.198252
t0 = +0.939103
t1 = +22.719116
T_rise = +0.000228
T_fall = +0.000029
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.906584
logB = -2.113460
t0 = +0.935463
t1 = +22.355823
T_rise = +0.000005
T_fall = +0.000439
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.424681
logB = -3.234051
t0 = +0.053938
t1 = +4.340154
T_rise = +0.000057
T_fall = +0.000065
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.424681
logB = -3.234051
t0 = +nan
t1 = +4.340154
T_rise = +0.000057
T_fall = +0.000065
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.424681
logB = -3.234051
t0 = +0.042565
t1 = +4.340154
T_rise = +0.000057
T_fall = +0.000012
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -1.424681
logB = -3.234051
t0 = +0.042565
t1 = +4.340154
T_rise = +0.000057
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629656
logB = -0.619118
t0 = +9.036369
t1 = +19.824781
T_rise = +0.001519
T_fall = +0.010203
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.569393
logB = -0.677327
t0 = +8.978845
t1 = +19.501448
T_rise = +0.001254
T_fall = +0.002816
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.713175
logB = +1.415818
t0 = +7.801175
t1 = +30.552370
T_rise = +0.007503
T_fall = +0.001112
m.migrad()
198 objects fitted
Time taken is 23.06 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None,
learning_rate=1.0, n_estimators=50, random_state=None)
Optimised parameters: {'n_estimators': 75, 'base_estimator': DecisionTreeClassifier(class_weight=None, criterion='entropy', max_depth=None,
max_features=None, max_leaf_nodes=None, min_samples_leaf=15,
min_samples_split=2, min_weight_fraction_leaf=0.0,
presort=False, random_state=None, splitter='best')}
WARNING: Upper boundary on parameter n_estimators may be too low. Optimum may not have been reached.
Reading data...
23 objects read into memory.
Reading data...
198 objects read into memory.
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.757308
logB = -0.525425
t0 = +62.838044
t1 = +8.840633
T_rise = +0.000307
T_fall = +0.032183
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.757308
logB = -0.525425
t0 = +62.838044
t1 = +8.840633
T_rise = +0.000307
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.882084
logB = -1.350453
t0 = +4.039916
t1 = +33.471405
T_rise = +0.000031
T_fall = +0.005588
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:138: RuntimeWarning: overflow encountered in multiply
chi2=np.sum((y-ynew)*(y-ynew)/err/err)
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.169495
logB = -2.028300
t0 = +4.087293
t1 = +11.079408
T_rise = +0.004854
T_fall = +0.000201
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.110184
logB = +3.824790
t0 = +2.016833
t1 = +2.996918
T_rise = +0.000415
T_fall = +0.000441
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +nan
logB = +nan
t0 = +nan
t1 = +nan
T_rise = +nan
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -nan
logB = -nan
t0 = -nan
t1 = -nan
T_rise = -nan
T_fall = -nan
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +6.504784
logB = +4.157557
t0 = +5.282773
t1 = +15.663738
T_rise = +0.003117
T_fall = +0.007032
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.969901
logB = +0.680296
t0 = +97.272638
t1 = +76.430122
T_rise = +0.013315
T_fall = +0.084628
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.093293
logB = -10.664404
t0 = +71.781669
t1 = +20.106320
T_rise = +0.023882
T_fall = +0.020983
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: invalid value encountered in divide
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.266322
logB = -0.031457
t0 = +4.115899
t1 = +63.599597
T_rise = +0.002040
T_fall = +0.003936
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.212597
logB = -0.080074
t0 = +4.115092
t1 = +58.262295
T_rise = +0.002344
T_fall = +0.001483
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.212597
logB = -0.080074
t0 = +4.115092
t1 = +58.262295
T_rise = +0.002344
T_fall = +nan
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -4.925571
logB = +0.529364
t0 = +80.217912
t1 = +0.092957
T_rise = +0.082461
T_fall = +0.000633
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +2.854502
logB = +0.600551
t0 = +33.243374
t1 = +29.830678
T_rise = +0.000002
T_fall = +0.006130
m.migrad()
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/parametric_models.py:153: RuntimeWarning: overflow encountered in multiply
return A*(1+B*(t-t1)*(t-t1))*np.exp(-(t-t0)/T_fall)/(1+np.exp(-(t-t0)/T_rise))
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = -11.158349
logB = -6.106662
t0 = +45.477032
t1 = +18.025353
T_rise = +0.000358
T_fall = +0.000982
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.820591
logB = -2.240843
t0 = +0.940853
t1 = +22.895096
T_rise = +0.000469
T_fall = +0.000007
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +0.896411
logB = -2.128756
t0 = +0.936155
t1 = +22.422438
T_rise = +0.000020
T_fall = +0.000329
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +3.391765
logB = +1.199891
t0 = +23.503082
t1 = +27.236480
T_rise = +0.020870
T_fall = +0.009359
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.629165
logB = -0.619596
t0 = +9.036228
t1 = +19.822229
T_rise = +0.001491
T_fall = +0.010088
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +1.570774
logB = -0.675984
t0 = +8.980106
t1 = +19.508583
T_rise = +0.001177
T_fall = +0.002324
m.migrad()
/home/robert/developing/snmachine/snmachine/snfeatures.py:161: RuntimeWarning: fcn returns Nan
fcn is called with following arguments:
logA = +4.898123
logB = +2.593608
t0 = +98.165728
t1 = +4.639384
T_rise = +0.000000
T_fall = +0.028864
m.migrad()
198 objects fitted
Time taken is 24.61 seconds
Fitting supernova models...
Models fitted.
Created classifier of type:
AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None,
learning_rate=1.0, n_estimators=50, random_state=None)
Optimised parameters: {'n_estimators': 55, 'base_estimator': DecisionTreeClassifier(class_weight=None, criterion='entropy', max_depth=None,
max_features=None, max_leaf_nodes=None, min_samples_leaf=5,
min_samples_split=2, min_weight_fraction_leaf=0.0,
presort=False, random_state=None, splitter='best')}
In [9]:
auc_allclass
Out[9]:
{'boost_dt': array([ 0.9987163 , 0.95171958, 0.91381669, 0.94740741, 0.95299647,
0.83969907, 0.94749695, 0.96506211, 0.93223443, 0.99005682,
0.95314506]),
'nb': array([ 0.9437799 , 0.95257143, 0.86392811, 0.88766789, 0.74740741,
0.75738126, 0.72962963, 0.83994528, 0.66914286, 0.60515873,
0.585 ]),
'svm': array([ 0.98990683, 0.85943517, 0.88139205, 0.86184211, 0.93589744,
0.92368742, 0.9623803 , 0.71142857, 0.83431257, 0.83490012,
0.88492063])}
In [ ]:
In [ ]:
In [10]:
for cl in classifiers:
plt.plot(np.linspace(1., 2., 11), auc_allclass[cl])
plt.show()
In [ ]:
In [ ]:
In [ ]:
In [ ]:
dat1.plot_all()
In [ ]:
In [ ]:
plt.figure()
tsne_plot.plot(mod1_features,join(mod1_features,types)['Type'])
In [ ]:
plt.figure()
clss=snclassifier.run_pipeline(mod1_features,types,output_name=os.path.join(out_class,'model1'),
classifiers=['nb','svm','boost_dt'], nprocesses=4)
In [ ]:
np.sort(dat.object_names)
In [ ]:
dat.set_model(waveFeats.fit_sn,wave_features,PCA_vec,PCA_mean,0,dat.get_max_length(),dat.filter_set)
In [ ]:
#dat.plot_all()
In [ ]:
#wave_features
In [ ]:
#types
In [ ]:
#join(wave_features, types)
In [ ]:
#plt.figure()
#tsne_plot.plot(wave_features,join(wave_features,types)['Type'])
In [ ]:
#This code takes the fitted parameters and generates the model light curve for plotting purposes.
#dat.set_model(salt2Feats.fit_sn,salt2_features)
In [ ]:
#dat.plot_all()
In [ ]:
#dat.data[dat.object_names[5]]
In [ ]:
In [ ]:
Content source: rbiswas4/FeatureRobustness
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