Degree of corr ratio with 1.5$\mu eV$ FSS, 2.5ns decoherence time and 0.0 -> 0.5 background emission rate

In [1]:

    

%pylab inline
from scipy.optimize import curve_fit
from scipy import stats
from fid_v_dephase_helpers import *


    

    




Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.zmq.pylab.backend_inline].
For more information, type 'help(pylab)'.

In [2]:

    

rootdir = '../out/2013-08-06/fid_v_bg/'
dat = get_data(rootdir, 'bg_emission_rate')
plot_deg_of_corr(dat)
plt.gca().invert_xaxis()
plt.xlabel('Background emission rate')


    

    
Out[2]:





<matplotlib.text.Text at 0x102271fd0>






    

In [5]:

    

hold_param = dat[0].astype(np.float)
grect = dat[1][0]
gdiag = dat[1][1]
gcirc = dat[1][2]

slope1, intercept1, a, b, c= stats.linregress(hold_param, gdiag/grect)
slope2, intercept2, a, b, c= stats.linregress(hold_param,  - gcirc/grect)

plt.figure(figsize = (16/1.5, 9/1.5))
plt.gca().invert_xaxis()
plt.xlabel('Background emission rate.') ;
plt.legend(['gdiag/grect', 'fit', '-gcirc/grect', 'fit'])
plt.ylim([0, 0.5])

plt.plot(hold_param, gdiag/ grect, 'r--', hold_param, intercept1 + slope1*hold_param, 'r-')
plt.plot(hold_param, - gcirc/ grect, 'b--', hold_param, intercept2 + slope2*hold_param, 'b-')


    

    
Out[5]:





[<matplotlib.lines.Line2D at 0x107465590>,
 <matplotlib.lines.Line2D at 0x10744b450>]






    

In [ ]: