`ApJdataFrames` 011: Allers2007

Title: Characterizing Young Brown Dwarfs Using Low-Resolution Near-Infrared Spectra
Authors: K. N. Allers, D T Jaffe, Kevin L Luhman, Michael C Liu, J C Wilson, M F Skrutskie, M Nelson, D E Peterson, J D Smith, and M C Cushing

Data is from this paper:
http://iopscience.iop.org/0004-637X/657/1/511/fulltext/70211.html



In [1]:

    
%pylab inline
import seaborn as sns









    



Populating the interactive namespace from numpy and matplotlib



In [2]:

    
import warnings
warnings.filterwarnings("ignore")



In [3]:

    
import pandas as pd

Table 2 - Physical Properties of sources



In [4]:

    
names = ["Source","RA_J2000","DEC_J2000","SpT","A_V","log_L_bol","T_eff","Mass_CBAH00","Age_CBAH00","Mass_DM97","Age_DM97"]

tbl2 = pd.read_csv("http://iopscience.iop.org/0004-637X/657/1/511/fulltext/70211.tb2.txt", 
                   sep='\t', names=names, na_values='\ldots')
tbl2["L_bol"] = 10.0**tbl2.log_L_bol.values
tbl2.head()









    Out[4]:






  
    
      
      Source
      RA_J2000
      DEC_J2000
      SpT
      A_V
      log_L_bol
      T_eff
      Mass_CBAH00
      Age_CBAH00
      Mass_DM97
      Age_DM97
      L_bol
    
  
  
    
      0
        Cha 1257-7701
       12 57 58.7
       -77 01 19.5
       M9
        4.0
      -3.1
       2400
       30
       30
        20
       15
       0.000794
    
    
      1
        Cha 1258-7709
       12 58 06.7
       -77 09 09.5
       M6
       10.4
      -1.3
       2990
       90
        1
       140
        3
       0.050119
    
    
      2
        Cha 1305-7739
       13 05 40.8
       -77 39 58.2
       L1
        3.0
      -3.1
       2200
       15
       10
       NaN
      NaN
       0.000794
    
    
      3
       Oph 1622-2405B
       16 22 25.2
       -24 05 15.6
       M8
        1.0
      -2.6
       2710
       35
       20
        30
       10
       0.002512
    
    
      4
       Oph 1622-2405A
       16 22 25.2
       -24 05 13.7
       M7
        0.0
      -2.4
       2880
       65
       20
        55
       15
       0.003981



In [5]:

    
sns.set_context("notebook", font_scale=1.5)



In [10]:

    
plt.plot(tbl2.T_eff, tbl2.L_bol, '.')
#plt.errorbar([2400.0]*upper_limits.sum(), tbl6.L_bol[upper_limits], xerr=0.0001, yerr=None, xlolims=True)

plt.ylabel(r"$L/L_{sun}$")
plt.xlabel(r"$T_{eff} (K)$")
plt.yscale("log")
plt.title("Allers et al. 2007 Ophiuchus and Cha II")
plt.xlim(5000,2000)
plt.ylim(10**-4, 10**2)









    Out[10]:





(0.0001, 100)



In [ ]:

The end.

	Source	RA_J2000	DEC_J2000	SpT	A_V	log_L_bol	T_eff	Mass_CBAH00	Age_CBAH00	Mass_DM97	Age_DM97	L_bol
0	Cha 1257-7701	12 57 58.7	-77 01 19.5	M9	4.0	-3.1	2400	30	30	20	15	0.000794
1	Cha 1258-7709	12 58 06.7	-77 09 09.5	M6	10.4	-1.3	2990	90	1	140	3	0.050119
2	Cha 1305-7739	13 05 40.8	-77 39 58.2	L1	3.0	-3.1	2200	15	10	NaN	NaN	0.000794
3	Oph 1622-2405B	16 22 25.2	-24 05 15.6	M8	1.0	-2.6	2710	35	20	30	10	0.002512
4	Oph 1622-2405A	16 22 25.2	-24 05 13.7	M7	0.0	-2.4	2880	65	20	55	15	0.003981

ApJdataFrames 011: Allers2007

Table 2 - Physical Properties of sources

`ApJdataFrames` 011: Allers2007