Catalogues of Gaia stars with asteroseismic parameters.

>> git clone https://github.com/RuthAngus/gaia_astero.git
>> cd gaia_astero
>> python setup.py install

To get the Gaia-astero catalogues as a pandas dataframe:

>>> import gaia_astero
>>> ga = gaia_astero.gaia_astero()

>>> solar_like_star_df = ga.solarlike  # just the solar-like stars
>>> red_giant_star_df = ga.redgiant  # just the red giants

To get the properties of a single star, use the star function with the Kepler id, e.g.:

>>> properties_df = ga.star("10666592")

or its 2MASS designation:

>>> properties_df = ga.star("J19285935+4758102")

If you want, say, the age of a star, (check to see if property is one of the column headings below) do:

>>> age = properties_df.age

Solar-like Column headings:

kepid, nu_max, delta_nu, tm_designation, teff, teff_err1, teff_err2, logg, logg_err1, logg_err2, feh, feh_err1, feh_err2, mass, mass_err1, mass_err2, radius, radius_err1, radius_err2, dens, dens_err1, dens_err2, prov_sec, kepmag, dist, dist_err1, dist_err2, nconfp, nkoi, ntce, datalink_dvr, st_delivname, st_vet_date_str, ra, dec, st_quarters, teff_prov, logg_prov, feh_prov, jmag, jmag_err, hmag, hmag_err, kmag, kmag_err, dutycycle, dataspan, mesthres01p5, mesthres02p0, mesthres02p5, mesthres03p0, mesthres03p5, mesthres04p5, mesthres05p0, mesthres06p0, mesthres07p5, mesthres09p0, mesthres10p5, mesthres12p0, mesthres12p5, mesthres15p0, rrmscdpp01p5, rrmscdpp02p0, rrmscdpp02p5, rrmscdpp03p0, rrmscdpp03p5, rrmscdpp04p5, rrmscdpp05p0, rrmscdpp06p0, rrmscdpp07p5, rrmscdpp09p0, rrmscdpp10p5, rrmscdpp12p0, rrmscdpp12p5, rrmscdpp15p0, av, av_err1, av_err2, tgas_hip, tgas_tycho2_id, tgas_solution_id, tgas_source_id, tgas_random_index, tgas_ref_epoch, tgas_ra, tgas_ra_error, tgas_dec, tgas_dec_error, tgas_parallax, tgas_parallax_error, tgas_pmra, tgas_pmra_error, tgas_pmdec, tgas_pmdec_error, tgas_ra_dec_corr, tgas_ra_parallax_corr, tgas_ra_pmra_corr, tgas_ra_pmdec_corr, tgas_dec_parallax_corr, tgas_dec_pmra_corr, tgas_dec_pmdec_corr, tgas_parallax_pmra_corr, tgas_parallax_pmdec_corr, tgas_pmra_pmdec_corr, tgas_astrometric_n_obs_al, tgas_astrometric_n_obs_ac, tgas_astrometric_n_good_obs_al, tgas_astrometric_n_good_obs_ac, tgas_astrometric_n_bad_obs_al, tgas_astrometric_n_bad_obs_ac, tgas_astrometric_delta_q, tgas_astrometric_excess_noise, tgas_astrometric_excess_noise_sig, tgas_astrometric_primary_flag, tgas_astrometric_relegation_factor, tgas_astrometric_weight_al, tgas_astrometric_weight_ac, tgas_astrometric_priors_used, tgas_matched_observations, tgas_duplicated_source, tgas_scan_direction_strength_k1, tgas_scan_direction_strength_k2, tgas_scan_direction_strength_k3, tgas_scan_direction_strength_k4, tgas_scan_direction_mean_k1, tgas_scan_direction_mean_k2, tgas_scan_direction_mean_k3, tgas_scan_direction_mean_k4, tgas_phot_g_n_obs, tgas_phot_g_mean_flux, tgas_phot_g_mean_flux_error, tgas_phot_g_mean_mag, tgas_phot_variable_flag, tgas_l, tgas_b, tgas_ecl_lon, tgas_ecl_lat, tgas_match_distance

Red Giant Column headings:

kepid,P13,G,tm_designation,GLAT,GLON,Teffc,e_Teffc,Teff,e_Teff,Dnu,e_Dnu, numax,e_numax,Notes,Teff1,e_Teff1,[M/H]1,e_[M/H]1,M1,E_M1,e_M1,R1,E_R1,e_R1, log.g1,E_log.g1,e_log.g1,rho1,E_rho1,e_rho1,Teff2,e_Teff2,[M/H]2,e_[M/H]2,M2, E_M2,e_M2,R2,E_R2,e_R2,log.g2,E_log.g2,e_log.g2,rho2,E_rho2,e_rho2,_RA,_DE, kepid,tm_designation,teff,teff_err1,teff_err2,logg,logg_err1,logg_err2,feh, feh_err1,feh_err2,mass,mass_err1,mass_err2,radius,radius_err1,radius_err2, dens,dens_err1,dens_err2,prov_sec,kepmag,dist,dist_err1,dist_err2,nconfp,nkoi, ntce,datalink_dvr,st_delivname,st_vet_date_str,ra,dec,st_quarters,teff_prov, logg_prov,feh_prov,jmag,jmag_err,hmag,hmag_err,kmag,kmag_err,dutycycle, dataspan,mesthres01p5,mesthres02p0,mesthres02p5,mesthres03p0,mesthres03p5, mesthres04p5,mesthres05p0,mesthres06p0,mesthres07p5,mesthres09p0,mesthres10p5, mesthres12p0,mesthres12p5,mesthres15p0,rrmscdpp01p5,rrmscdpp02p0,rrmscdpp02p5, rrmscdpp03p0,rrmscdpp03p5,rrmscdpp04p5,rrmscdpp05p0,rrmscdpp06p0,rrmscdpp07p5, rrmscdpp09p0,rrmscdpp10p5,rrmscdpp12p0,rrmscdpp12p5,rrmscdpp15p0,av,av_err1, av_err2,tgas_hip,tgas_tycho2_id,tgas_solution_id,tgas_source_id, tgas_random_index,tgas_ref_epoch,tgas_ra,tgas_ra_error,tgas_dec, tgas_dec_error,tgas_parallax,tgas_parallax_error,tgas_pmra,tgas_pmra_error, tgas_pmdec,tgas_pmdec_error,tgas_ra_dec_corr,tgas_ra_parallax_corr, tgas_ra_pmra_corr,tgas_ra_pmdec_corr,tgas_dec_parallax_corr, tgas_dec_pmra_corr,tgas_dec_pmdec_corr,tgas_parallax_pmra_corr, tgas_parallax_pmdec_corr,tgas_pmra_pmdec_corr,tgas_astrometric_n_obs_al, tgas_astrometric_n_obs_ac,tgas_astrometric_n_good_obs_al, tgas_astrometric_n_good_obs_ac,tgas_astrometric_n_bad_obs_al, tgas_astrometric_n_bad_obs_ac,tgas_astrometric_delta_q, tgas_astrometric_excess_noise,tgas_astrometric_excess_noise_sig, tgas_astrometric_primary_flag,tgas_astrometric_relegation_factor, tgas_astrometric_weight_al,tgas_astrometric_weight_ac, tgas_astrometric_priors_used,tgas_matched_observations,tgas_duplicated_source, tgas_scan_direction_strength_k1,tgas_scan_direction_strength_k2, tgas_scan_direction_strength_k3,tgas_scan_direction_strength_k4, tgas_scan_direction_mean_k1,tgas_scan_direction_mean_k2, tgas_scan_direction_mean_k3,tgas_scan_direction_mean_k4,tgas_phot_g_n_obs, tgas_phot_g_mean_flux,tgas_phot_g_mean_flux_error,tgas_phot_g_mean_mag, tgas_phot_variable_flag,tgas_l,tgas_b,tgas_ecl_lon,tgas_ecl_lat, tgas_match_distance