In [1]:
from IPython.display import HTML
from IPython.display import Image
import os
# import scipy.interpolate as inter
%pylab
%matplotlib inline
%run ../../utils/load_notebook.py
In [2]:
from photometry import *
In [3]:
from instabilities import *
In [4]:
from utils import *
In [5]:
name = 'N2985'
gtype = '(R)SA(r)ab' #TODO: откуда
incl = 36. #adopted by Noordermeer+08, LEDA - 37.9, Epinat+08 - 36.
distance = 21.1 # Noordermeer
scale = 0.102 #kpc/arcsec according Noordermeer
data_path = '../../data/ngc2985'
sin_i, cos_i = np.sin(incl*np.pi/180.), np.cos(incl*np.pi/180.)
In [6]:
# plt.rcParams['image.cmap'] = 'hsv'
# plt.rcParams['axes.prop_cycle'] = plt.cycler('color', plt.get_cmap('hsv')(np.linspace(0, 1.0, 12)))
In [7]:
%%javascript
$.getScript('https://kmahelona.github.io/ipython_notebook_goodies/ipython_notebook_toc.js')
TODO: add
In [8]:
# Данные из NED
HTML('<iframe src=http://ned.ipac.caltech.edu/cgi-bin/objsearch?objname=ngc+2985&extend=no&hconst=\
73&omegam=0.27&omegav=0.73&corr_z=1&out_csys=Equatorial&out_equinox=J2000.0&obj_sort=RA+or+Longitude&of=pre_text&zv_breaker=\
30000.0&list_limit=5&img_stamp=YES width=1000 height=350></iframe>')
Out[8]:
In [9]:
# Данные из HYPERLEDA
HTML('<iframe src=http://leda.univ-lyon1.fr/ledacat.cgi?o=ngc2985 width=1000 height=350></iframe>')
Out[9]:
In [10]:
os.chdir(data_path)
Image('noordermeer_data/n2985_cite_p39.png')
Out[10]:
In [11]:
Image('noordermeer_data/n2985_cite_p110.png')
Out[11]:
In [12]:
Image('noordermeer_data/n2985_cite_pp187_188.png')
Out[12]:
In [13]:
#2MASS
Image('ngc2985_JHK.jpg', width=300)
Out[13]:
DSS картинка 10х10 arcmin:
In [14]:
Image('n2985_DSS_10x10min.jpg')
Out[14]:
Возможно картинка из Хаббла:
да, это действительно она в обработке - на Hubble Legacy Archive https://hla.stsci.edu/ вот в этом снимке видно
In [15]:
Image('n2985_hubble.jpg', width=300)
Out[15]:
Извлеченная картинка самостоятельно:
In [16]:
Image('HST_color.png')
Out[16]: