Understanding the files for the SED Fitting Challenge

In [14]:

    

import pyfits as pf


    

In [2]:

    

example_file = pf.open('/home/mldantas/Dropbox/DoutoradoIAG/Challenge/models_forchallenge/Eku1.30Zm0.25T00.0300_iTp0.00_baseFe.fits') # with my personal path


    

In [3]:

    

example_file.info()


    

    




Filename: /home/mldantas/Dropbox/DoutoradoIAG/Challenge/models_forchallenge/Eku1.30Zm0.25T00.0300_iTp0.00_baseFe.fits
No.    Name         Type      Cards   Dimensions   Format
0    PRIMARY     PrimaryHDU      11   (53689,)     float32   

In [4]:

    

# see 'Dimensions'


    

In [5]:

    

print_header = example_file[0].header


    

In [6]:

    

print_header


    

    
Out[6]:





SIMPLE  =                    T /image conforms to FITS standard                 
BITPIX  =                  -32 /bits per data value                             
NAXIS   =                    1 /number of axes                                  
NAXIS1  =                53689 /                                                
EXTEND  =                    T /file may contain extensions                     
DATE    = '2016-11-08'         / Creation UTC (CCCC-MM-DD) date of FITS header  
COMMENT FITS (Flexible Image Transport System) format is defined in 'Astronomy  
COMMENT and Astrophysics', volume 376, page 359; bibcode 2001A&A...376..359H    
CRVAL1  =        1680.20000000 /                                                
CDELT1  =       0.900000000000 /                                                
CRPIX1  =                    1 /                                                

In [7]:

    

print (print_header.keys())


    

    




['SIMPLE', 'BITPIX', 'NAXIS', 'NAXIS1', 'EXTEND', 'DATE', 'COMMENT', 'COMMENT', 'CRVAL1', 'CDELT1', 'CRPIX1']

In [8]:

    

data = print_header['CRVAL1']


    

In [9]:

    

data


    

    
Out[9]:





1680.2

In [10]:

    

print_header['CDELT1']


    

    
Out[10]:





0.9

In [11]:

    

print_header['CRPIX1']


    

    
Out[11]:





1

In [15]:

    

dataset = pf.getdata('/home/mldantas/Dropbox/DoutoradoIAG/Challenge/models_forchallenge/Eku1.30Zm0.25T00.0300_iTp0.00_baseFe.fits')


    

In [18]:

    

import matplotlib.pyplot as plt


    

    




/home/mldantas/anaconda2/lib/python2.7/site-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.
  warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')

In [26]:

    

plt.plot(dataset)
plt.xlim(0,10000)
plt.show()


    

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