`ApJdataFrames` 002: Luhman2004b

Title: The First Discovery of a Wide Binary Brown Dwarf Authors: Luhman K.L.

Data is from this paper: http://iopscience.iop.org/0004-637X/614/1/398



In [1]:

    
import warnings
warnings.filterwarnings("ignore")









    



Populating the interactive namespace from numpy and matplotlib

Table 1- Composite photometry

Since this table is formatted in the CDS format, it is easiest to take advantage of the Astropy functionality, ascii.read, which automatically detects the header formatting. We will also take advantage of the fact that ascii.read can accept a url as an argument, so we won't have to actually save the data locally. Let's hope ApJ doesn't change their web link though.



In [3]:

    
import pandas as pd



In [5]:

    
names = ["component", "RA", "Dec", "Spectral Type", "Teff", "AJ", "Lbol", "R-I","I", "J-H","H-Ks", "Ks", "Mass"]
tbl1 = pd.read_csv("http://iopscience.iop.org/0004-637X/614/1/398/fulltext/60660.tb1.txt", sep='\t', names=names)
tbl1









    Out[5]:






  
    
      
      component
      RA
      Dec
      Spectral Type
      Teff
      AJ
      Lbol
      R-I
      I
      J-H
      H-Ks
      Ks
      Mass
    
  
  
    
      0
       A
       11 01 19.218
       -77 32 38.60
       M7.25 \pm 0.25
       2838
       0.45
       0.0200
       2.57
       17.21
       0.84
       0.60
       11.97
       0.050
    
    
      1
       B
       11 01 19.438
       -77 32 37.36
       M8.25 \pm 0.25
       2632
       0.00
       0.0062
       2.60
       18.28
       0.82
       0.64
       12.81
       0.025

The end.

	component	RA	Dec	Spectral Type	Teff	AJ	Lbol	R-I	I	J-H	H-Ks	Ks	Mass
0	A	11 01 19.218	-77 32 38.60	M7.25 \pm 0.25	2838	0.45	0.0200	2.57	17.21	0.84	0.60	11.97	0.050
1	B	11 01 19.438	-77 32 37.36	M8.25 \pm 0.25	2632	0.00	0.0062	2.60	18.28	0.82	0.64	12.81	0.025

ApJdataFrames 002: Luhman2004b

Table 1- Composite photometry

`ApJdataFrames` 002: Luhman2004b