adding scripts and data used for TGAS paper

huber17scripts/apokasc_direct.py

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+import sys
+import ebf
+import numpy as np
+import scipy.interpolate
+import pdb
+import asfgrid
+from astropy.io import ascii
+from classify_direct import *
+#from classify_direct import *
+
+if __name__ == '__main__':
+
+    dnumodel = asfgrid.Seism()  
+    bcmodel = h5py.File('bcgrid.h5', 'r')
+    dustmodel = mwdust.Green15()
+
+    #data=ascii.read('../../apokasc/tgas_combined_cor_obs.txt')
+    data=ascii.read('tgas_combined_obs.txt')
+
+    #f = open('../../apokasc/tgas_combined_derived_direct_plx_lprior_useav.txt', 'w')
+    #f = open('../../apokasc/tgas_combined_derived_direct_seismo.txt', 'w')
+    #f = open('../../apokasc/tgas_combined_derived_direct_seismo_dnucor.txt', 'w')
+
+    #f = open('../../apokasc/tgas_combined_cor_derived_direct_plx.txt', 'w')
+    #f = open('../../apokasc/tgas_combined_cor_derived_direct_seismo.txt', 'w')
+    #f = open('../../apokasc/tgas_combined_cor_derived_direct_seismo_dnucor.txt', 'w')
+
+
+
+    #data=ascii.read('../../apokasc/tgas_dwarfs_spc_obs.txt')
+    #f = open('../../apokasc/tgas_dwarfs_apo_derived_direct_seismo_dnucor.txt', 'w')
+    #f = open('../../apokasc/tgas_dwarfs_spc_derived_direct_plx_lprior.txt', 'w')
+
+    #f = open('../../apokasc/tgas_giants_payne_derived_direct_seismo.txt', 'w')
+    #f = open('../../apokasc/tgas_dwarfs_spc_derived_direct_plx_lprior.txt', 'w')
+
+    #data=ascii.read('../../apokasc/tgas_combined_obs.txt')
+    #f = open('../../apokasc/tgas_combined_derived_direct_seismo3.txt', 'w')
+
+    # read Av from grid-modeling here
+    # av=ascii.read('../../apokasc/tgas_combined_derived_grid_seismo.txt')
+
+
+    #f = open('../../mabsk.txt', 'w')
+    f = open('../../temp.txt', 'w')
+
+    f.write('kic teff teffep teffem logg loggep loggem feh fehep fehem rad radep radem mass massep massem lum lumep lumem rho rhoep rhoem dis disep disem av avep avem \n')
+    #f.write('kic teff logg mass dis mabs \n')
+
+    for i in range(0,len(data['KIC'])):
+
+        print '---------------------------------'
+        print 'KIC ',data['KIC'][i]
+        print data['teff'][i],data['logg'][i],data['feh'][i]
+        print data['plx'][i]/1e3,data['sig_plx'][i]/1e3
+        print data['sig_plx'][i]/data['plx'][i]
+        print data['jmag'][i],data['hmag'][i],data['kmag'][i]
+        print data['sig_jmag'][i],data['sig_hmag'][i],data['sig_kmag'][i]
+
+        if (data['sig_kmag'][i] > 0.5):
+            #pdb.set_trace()
+            continue
+
+        #if (data['KIC'][i] != 5033245.):
+        #    continue
+        #if (data['logg'][i] < 3.5):
+        #    continue
+
+        # use Av from seismo
+        #um=np.where(data['KIC'][i] == av['kic'])[0]
+        #thisav=av['av'][um]
+        #pdb.set_trace()
+
+        x=obsdata()
+        #x.addbvt([data['btmag'][i],data['vtmag'][i]],[data['sig_btmag'][i],data['sig_vtmag'][i]])
+
+        x.addcoords(data['ra'][i],data['dec'][i])
+
+        x.addjhk([data['jmag'][i],data['hmag'][i],data['kmag'][i]],\
+                 [data['sig_jmag'][i],data['sig_hmag'][i],data['sig_kmag'][i]])
+
+
+        # uncomment this for Gaia -> seismo
+        '''
+        x.addspec([data['teff'][i],data['logg'][i],data['feh'][i]],\
+                  [data['sig_teff'][i],data['sig_logg'][i],data['sig_feh'][i]])
+                  
+        x.addplx((data['plx'][i])/1e3,data['sig_plx'][i]/1e3)
+        if (data['plx'][i] < 0.):
+            continue
+        '''
+
+        # uncomment this for seismo -> Gaia
+        #'''
+        x.addspec([data['teff'][i],-99.0,data['feh'][i]],[data['sig_teff'][i],0.0,data['sig_feh'][i]])
+
+        if (data['numax'][i] == 0.):
+            continue
+        if (data['teff'][i] == 0.):
+            continue   
+
+        #dnusig=data['sig_dnu'][i]
+        #if (data['sig_dnu'][i]/data['dnu'][i] < 0.005):
+        #    dnusig = data['dnu'][i]*0.005
+        dnusig=np.sqrt( data['sig_dnu'][i]**2. + (data['dnu'][i]*0.005)**2.)
+
+        #numaxsig=data['sig_numax'][i]
+        #if (data['sig_numax'][i]/data['numax'][i] < 0.01):
+        #    numaxsig = data['numax'][i]*0.01
+        numaxsig=np.sqrt( data['sig_numax'][i]**2. + (data['numax'][i]*0.01)**2.)
+
+        if (data['numax'][i] > 0.):
+            x.addseismo([data['numax'][i],data['dnu'][i]],[numaxsig,dnusig])
+        else:
+            x.addseismo([-99.,data['dnu'][i]],[-99.,dnusig])
+
+        if (data['clump'][i] == 1):
+            x.clump=1
+        else:
+            x.clump=0
+        #'''
+
+        paras=stparas(input=x,dnumodel=dnumodel,bcmodel=bcmodel,dustmodel=dustmodel,\
+                      useav=0.,dnucor=0,plot=0)
+
+
+        f.write('%10i %10.1f %8.1f %8.1f %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %10.3e %10.3e %10.3e %10.3e %10.3e %10.3e %10.3e %10.3e %10.3e %8.3f %8.3f %8.3f\n' % (data['KIC'][i], paras.teff, paras.teffep, paras.teffem, \
+        paras.logg, paras.loggep, paras.loggem, \
+        paras.feh, paras.fehep, paras.fehem, \
+        paras.rad, paras.radep, paras.radem, \
+        paras.mass, paras.massep, paras.massem, \
+        paras.lum, paras.lumep, paras.lumem, \
+        paras.rho, paras.rhoep, paras.rhoem, paras.dis, paras.disep, paras.disem, paras.avs, paras.avsep, paras.avsem)) 
+
+
+        #f.write('%10i %10.1f %8.3f %8.3f %8.3f %8.3f \n' % (data['KIC'][i], paras.teff, paras.logg, paras.mass, paras.dis, paras.mabs)) 
+
+
+        #raw_input(':')
+
+    f.close()
+
+    '''
+    x.addbvt([9.,8.],[0.01,0.01])
+    x.addspec([4790.,-99.,0.38],[100.,-99.,0.1])
+    x.addseismo([223.7,16.8],[5.5,0.17])
+    #pdb.set_trace()
+    paras=stparas(input=x,dnumodel=dnumodel,bcmodel=bcmodel,dustmodel=dustmodel)
+    pdb.set_trace()
+    '''

huber17scripts/apokasc_grid.py

@@ -0,0 +1,156 @@
+import numpy as np
+import matplotlib.pyplot as plt
+from classify_grid import *
+import os, ebf
+from astropy.io import ascii
+import time
+
+
+if __name__ == '__main__':
+
+    homedir=os.path.expanduser('~/')
+    model=ebf.read(homedir+'science/models/MIST/mesa.ebf')
+    model['rho']=np.log10(model['rho'])
+    # do this to turn off scaling relation corrections
+    #model['fdnu'][:]=1.
+
+    model['avs']=np.zeros(len(model['teff']))
+    model['dis']=np.zeros(len(model['teff']))
+
+    #dustmodel = mwdust.Combined15()m
+
+    #data=ascii.read('../../apokasc/tgas_apokasc_obs.txt')
+    #data=ascii.read('../../apokasc/tgas_dwarfs_obs.txt')
+    data=ascii.read('apokasc/tgas_combined_obs.txt')
+
+    #f = open('../../apokasc/tgas_combined_derived_grid.txt', 'w')
+    #f = open('../../apokasc/tgas_combined_derived_grid_seismo_dnucor.txt', 'w')
+    #f = open('../../apokasc/tgas_combined_derived_grid_plx.txt', 'w')
+
+    f = open('temp.dat','w')
+
+    f.write('kic teff teffep teffem logg loggep loggem feh fehep fehem rad radep radem mass massep massem lum lumep lumem rho rhoep rhoem dis disep disem av avep avem \n')
+
+    for i in range(0,len(data['KIC'])):
+
+        #if (i < 493):
+        #    continue
+
+        #if (data['KIC'][i] != 5456612):
+        #    continue
+
+        #if (data['logg'][i] < 3.5):
+        #    continue
+
+        x=obsdata()
+	x.addcoords(data['ra'][i],data['dec'][i])
+
+	x.addbvt([data['btmag'][i],data['vtmag'][i]],[data['sig_btmag'][i],data['sig_vtmag'][i]])
+        x.addjhk([data['jmag'][i],data['hmag'][i],data['kmag'][i]],\
+                 [data['sig_jmag'][i],data['sig_hmag'][i],data['sig_kmag'][i]])
+
+        x.addgriz([data['gmag'][i],data['rmag'][i],data['imag'][i],data['zmag'][i]],\
+                [data['sig_gmag'][i],data['sig_rmag'][i],data['sig_imag'][i],data['sig_zmag'][i]])
+
+        x.addspec([data['teff'][i],-99.0,data['feh'][i]],[data['sig_teff'][i],0.0,data['sig_feh'][i]])
+
+        if (data['sig_kmag'][i] > 0.5):
+            continue
+
+        # added errors are based on scatter in apokasc sample
+        #dnusig=data['sig_dnu'][i]
+        #if (data['sig_dnu'][i]/data['dnu'][i] < 0.005):
+        #    dnusig = data['dnu'][i]*0.005
+
+        #numaxsig=data['sig_numax'][i]
+        #if (data['sig_numax'][i]/data['numax'][i] < 0.01):
+        #    numaxsig = data['numax'][i]*0.01
+
+        dnusig=np.sqrt( data['sig_dnu'][i]**2. + (data['dnu'][i]*0.005)**2.)
+        numaxsig=np.sqrt( data['sig_numax'][i]**2. + (data['numax'][i]*0.01)**2.)
+
+        if (data['numax'][i] > 0.):
+            x.addseismo([data['numax'][i],data['dnu'][i]],[numaxsig,dnusig])
+        else:
+            x.addseismo([-99.,data['dnu'][i]],[-99.,dnusig])
+
+
+#        pdb.set_trace()
+	#plxe=data['sig_plx'][i]
+        #plx=data['plx'][i]
+        #plx=1e3/791.88
+        #plxe=data['plx'][i]*0.001
+        #x.addplx(plx/1e3,plxe/1e3)
+
+#        print x.plxe/x.plx
+       	print data['KIC'][i],x.teff,x.feh
+        print 'BtVt:',x.vtmag,x.vtmage,x.btmag,x.btmage
+        print 'griz:',x.gmag,x.gmage,x.rmag,x.rmage,x.imag,x.image,x.zmag,x.zmage
+        print 'JHK',x.jmag,x.jmage,x.hmag,x.hmage,x.kmag,x.kmage
+        print '----'
+
+        #if (x.plxe/x.plx < 1.0):
+        t1 = time.clock()
+        paras=classify(input=x,model=model,dustmodel=0,doplot=0)
+        t2 = time.clock()
+        print t2-t1
+
+        f.write('%10i %10.1f %8.1f %8.1f %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %8.3f %10.3e %10.3e %10.3e %10.3e %10.3e %10.3e %10.3e %10.3e %10.3e %8.3f %8.3f %8.3f\n' % (data['KIC'][i], paras.teff, paras.teffep, paras.teffem, \
+        paras.logg, paras.loggep, paras.loggem, \
+        paras.feh, paras.fehep, paras.fehem, \
+        paras.rad, paras.radep, paras.radem, \
+        paras.mass, paras.massep, paras.massem, \
+        paras.lum, paras.lumep, paras.lumem, \
+        paras.rho, paras.rhoep, paras.rhoem, paras.dis, paras.disep, paras.disem, paras.avs, paras.avsep, paras.avsem))     
+        #f.close()
+        #pdb.set_trace()
+        raw_input(':')
+
+	print '---------------------------------------------'
+
+
+    #raw_input(':')
+
+    f.close()
+
+    #x.addgriz([12.379,11.614,11.378,0.],[0.04,0.04,0.04,0.0])
+    #x.addplx(0.00218,0.0000327)
+
+    #EPIC2113
+    '''
+    x.addbv([13.770,12.611],[0.020,0.031])
+    x.addjhk([10.694,10.177,10.035],[0.023,0.023,0.021])
+    x.addgriz([13.161,12.223,12.087,0.0],[0.031,0.040,0.23,0.0])
+    x.addspec([4790.,-99.0,0.38],[90.,0.0,0.08])
+    x.addseismo([223.7,16.83],[5.4,0.17])
+    x.addplx(0.001270435161529427,6.458185669608908e-05)
+    
+    paras=classify(input=x,model=model,ebv=0.0,ebve=0.0,bcerr=0.0,doplot=1)
+    '''
+
+    '''
+    bn=np.arange(0.,1.5,0.02)
+
+    plt.clf()
+    data=ascii.read('../apokasc/tgas_match/apokasc_tgas_kepler.txt')
+    plt.hist(data['sig_plx']/data['plx'],bins=bn,label='APOKASC giants')
+
+    data=ascii.read('../apokasc/tgas_match/dwarfs_tgas_kepler.txt')
+    plt.hist(data['sig_plx']/data['plx'],bins=bn,label='dwarfs')
+
+    plt.xlabel('sig_plx/plx')
+    plt.ylabel('# of stars')
+
+    plt.legend(loc='best',numpoints=1,handletextpad=0.25,prop={'size':19},\
+    handlelength=1.0)
+    '''
+
+    '''
+    um=np.where(model['feh'] == 0.0)
+    plt.plot(model['hmag'][um]-model['kmag'][um],model['jmag'][um]-model['hmag'][um],'.')
+    plt.plot(data['hmag']-data['kmag'],data['jmag']-data['hmag'],'.')
+
+    model=ebf.read(homedir+'science/models/DSEP/dsep.ebf')
+    um=np.where(model['feh'] == 0.0)
+    plt.plot(model['hmag'][um]-model['kmag'][um],model['jmag'][um]-model['hmag'][um],'.')
+    '''