This page describes the catalogues of GALAH DR3 and how to get them.

GALAH DR3 Main Catalogues

We provide two versions of the GALAH DR3 catalogue (GALAH_DR3_main_xx.fits)

Download GALAH_DR3_main_allstar_v2.fits (833 MB)

Strongly recommend the use of this table for most science cases interested in stellar parameters and abundances.

The GALAH_DR3_main_allstar_v2 is our main results catalogue. It contains results for 588,571 stars observed as part of the GALAH, K2-HERMES, TESS-HERMES, and other related surveys that used the HERMES spectrograph on the Anglo-Australian Telescope between November 2013 and February 2019. For all targets we provide stellar parameters, radial velocities, and elemental abundances.

We recommend this catalogue for most science cases as it contains only one entry per star (about 50000 stars were observed multiple times; if you are interested in the per observation results, see the GALAH_DR3_main_allspec_v2 catalogue). The full list of columns is on the Table Schema documentation. For each star we provide:

  • Star identifers:
    • the GALAH observation ID (sobject_id)
    • 2MASS identifier (star_id)
    • Gaia DR2 and eDR3 source_id (dr2_source_id and dr3_source_id respectively)
  • Stellar parameters (and their errors):
    • Effective temperature (teff, irfm_teff), surface gravity (logg), iron abundance (fe_h), overall α-abundance (alpha_fe)
    • Microturbulence (vmic) and broadening velocities (vbroad)
  • Barycentric radial velocity of the star (rv_galah)
  • Elemental abundances (and their errors) for:
    • These all take the form X_fe, where X is the element’s chemical symbol
    • light elements: Li, C, O
    • odd-Z elements: Na, Al, K
    • α-elements: Mg, Si, Ca, Ti (and TiII)
    • iron-peak elements: Sc, V, Cr, Mn, Co, Ni, Cu, Zn
    • light and heavy slow neutron capture elements: Y, Ba, La, Rb, Mo, Ru, Nd, Sm
    • rapid neutron capture element: Eu
  • Flagging information:
    • Please read our GALAH DR3 Best Practices page for recommendations on flags.
    • Two overall flags: a stellar parameter quality flag (flag_sp) and a iron abundance quality flag (flag_fe_h)
    • Quality flags for alpha_fe (flag_alpha_fe)
    • Intermediary analysis flags: reduction pipeline quality flag (red_flag); GUESS reduction pipeline quality flag (flag_guess)
    • Repeat observation flag, indicating if used for clean catalog (flag_repeat)
  • Other useful information:
    • The internal survey name (survey_name), observation field identifer (field_id)
    • Signal-to-noise for the spectrum from each camera (snr_c1_iraf, snr_c2_iraf, snr_c3_iraf, snr_c3_iraf)
  • Photometry:
    • V magnitude estimated from 2MASS J and Ks mag (v_jk)
    • 2MASS (j_m, h_m, ks_m)
    • WISE (w2mpro)
  • Gaia DR2 data:
    • ra_dr2, dec_dr2, parallax_dr2, rv_gaia_dr2, ruwe_dr2

Extended catalogue of stellar parameters and abundances

Download GALAH_DR3_main_allspec_v2.fits (2.1 GB)

GALAH_DR3_main_allspec_v2 is not recommended for most science cases. It is an extended version of the GALAH_DR3_main_allstar_v2. It contains results per spectra (rather than per star) and includes extra columns for individual spectra lines.

The GALAH_DR3_main_allspec_v2 catalogue has results for 678,423 spectra acquired as part of the GALAH, K2-HERMES, TESS-HERMES, and other related surveys that used the HERMES spectrograph on the Anglo-Australian Telescope between November 2013 and February 2019. As with the GALAH_DR3_main_allstar_v2, for all spectra we provide stellar parameters, radial velocities, and elemental abundances. For the full list of columns, see the Table Schema page.

As well as the information included in GALAH_DR3_main_allstar_v2, the GALAH_DR3_main_allspec_v2 catalogue has:

  • Elemental abundances (and their errors) for individual spectral lines
    • These all take the form ind_X1234_fe, where X1234 is the element’s chemical symbol and the wavelength
  • Diagnostic information from the analysis pipeline
    • Results from our initial GUESS pipeline (rv_guess, teff_guess, logg_guess, feh_guess)
    • Radial velocities of individual spectral lines (rv_5854, rv_6708, rv_6722)

GALAH DR3 Value-Added Catalogues

Gaia eDR3 data for all stars in GALAH DR3

Download GALAH_DR3_VAC_GaiaEDR3_v2.fits (338 MB)

This provides a cross-match GALAH DR3 and Gaia eDR3. This catalogue contains an entry for every star in GALAH DR3 that we identified a match in Gaia eDR3. The full list of columns is on the Table Schema documentation. The GALAH_DR3_VAC_GaiaEDR3_v2 catalogue consists of:

Some notes and caveats about the cross-match between GALAH DR3 and Gaia eDR3:

  • This cross-match used the previously identified Gaia DR2 dr2_source_id for each GALAH DR3 star, and the gaiaedr3.dr2_neighbourhood table created by the Gaia team. The Gaia DR2 dr2_source_id had been found using the gaiadr2.tmass_best_neighbour table and the 2MASS ID of each GALAH star. In the future, we suggest to perform this crossmatch via GALAH’s 2MASS ID and the yet-to-come match of Gaia EDR3 and 2MASS identifiers.
  • All GALAH_DR3_VAC_GaiaEDR3_v2 entries have an angular distance between their Gaia DR2 and eDR3 sources smaller than 160 mas, and 99.9 per cent are within 20 mas.
  • There is a Gaia eDR3 source for every entry in the GALAH_DR3_main_allstar_v2 table.
    • There are 111 entries in the GALAH_DR3_main_allspec_v2 table that lack a Gaia dr3_source_id as we have not attempted to find them in Gaia eDR3 and they never had a Gaia DR2 dr2_source_id. Of these 38 are bright stars and do have a parallax from Hipparcos.
  • 17654 stars had more than one Gaia eDR3 match (98 per cent of these had only two matches, and the remainder with 3 or 4 matches). For simplicity we have chosen the closest match in angular distance between the Gaia DR2 and Gaia eDR3 position as reported by the gaiaedr3.dr2_neighbourhood.
    • For over 99 per cent of ~18000 stars, the closest match had an angular distance <10 mas, and second closest match was >600 mas.
    • There is likely source confusion for <100 stars. For instance, for 57 of the ~18000 stars with multiple matches in the gaiaedr3.dr2_neighbourhood table, the second closest match in angular distance has a smaller magnitude difference between Gaia DR2 and eDR3.

Ages, masses, distances and other parameters estimated by BSTEP

Download GALAH_DR3_VAC_ages_v2.fits (362 MB)

This catalogue uses the Bayesian Stellar Parameter Estimation code (BSTEP) from Sharma et al. (2018) to provide a Bayesian estimate of intrinsic stellar parameters from observed parameters by making use of stellar isochrones. The full list of columns is on the Table Schema documentation.

For each star, we give the following parameters found by BSTEP:

  • distance (distance_bstep)
  • age (age_bstep)
  • initial and current mass (m_ini_bstep and m_act_bstep)
  • stellar radius (radius_bstep)
  • stellar luminosity (log_lum_bstep)
  • a probability of whether this is a red clump star (is_redclump_bstep)
  • the reddening (ebv_bstep)
  • absolute J and KS magnitudes (abs_j_bstep and abs_ks_bstep)
  • effective temperature (teff_bstep)
  • surface gravity (logg_bstep)
  • initial and current metallicity (meh_ini_bstep and meh_act_bstep)

For each estimated parameter we also report the 1-sigma uncertainty (prefix e_), and the 16th (e16_), 50th (e50_), and 84th (e84_) percentiles.

As discussed on our Best Practices page, we recommend the ages, masses, and distances from BSTEP as our best values for these parameters. We do not recommend using BSTEP values for stellar parameters like effective temperature and surface gravity.

For details of the adopted priors see Sharma et al. (2018). Briefly, a flat prior on age and metallicity was used and for density distribution of stars a combination of an exponential stellar disc and a diffuse stellar halo was used. For results presented in this paper, we use the PARSEC release v1.2S + COLIBRI stellar isochrone (Marigo et al. 2017). We use the following observables, Teff , log g, [Fe/H], [α/Fe] , 2MASS J and KS photometry, and parallax from Gaia. The effective observed metallicity, log(Z/Z⊙), was estimated from [Fe/H] and [α/Fe] using the formula by Salaris (2006). This was compared with the surface metallicity reported by the isochrones, which takes the evolutionary changes in surface metallicity Z into account.

Galactic kinematic and dynamic information

Download GALAH_DR3_VAC_dynamics_v2.fits (554 MB)

We provide a value-added-catalog with kinematic and dynamic information, that builds upon the 5D astrometric information by Gaia eDR3, and primarily radial velocities determined from GALAH spectra. The full list of columns is on the Table Schema documentation. This catalogue provides:

  • Heliocentric cartesian coordinate (X_XYZ, Y_XYZ, Z_XYZ) and velocity frames (U_UVW, V_UVW, W_UVW)
  • Galactocentric cylindrical coordinate (R_Rzphi, z_Rzphi, phi_Rzphi) and velocity frames (vR_Rzphi, vz_Rzphi, vT_Rzphi)
    • Note that we report vT_Rzphi rather than vR_Rzphi. The initial release of this table did report vphi_Rzphi. We changed to vT_Rzphi because due to the normalisation within galpy the notation was confusing.
    • If vphi_Rzphi is desired, it can be calculated as vphi_Rzphi = vT_Rzphi * (8.21 kpc) / R_Rzphi
  • Orbital angles (angle_R, angle_phi, angle_z) and frequencies (omega_R, omega_phi, omega_z)
  • Actions (J_R, L_Z, J_Z)
  • eccentricity (ecc)
  • Maximum Galactocentric orbit height (zmax), pericenter and apocenter radii (R_peri, R_ap)
  • Orbit energies (Energy)

For each estimated parameter we also report a mean value and the 5th, 50th, and 95th percentiles (these have the suffixes _5, _50, _95).

For the calculation of orbit information we use version 1.6 of the Python package galpy (Bovy 2015). To estimate actions, eccentricity, maximum orbit Galactocentric height, and apocenter/pericenter radii, we use the Staeckel fudge via the galpy module actionAngleStaeckel with a focus of 0.45. We use the following potentials and observed properties of the Galaxy:

  • The best fitting axisymmetric potential by McMillan (2017);
  • A solar radius of 8.21 kpc, consistent with the latest measurement by Gravity Collaboration et al. (2019) of 8.178 ± 0.013(stat.) ± 0.022(sys.) kpc;
  • A circular velocity at this radius of 233.1 km/s;
  • The total motion of the Sun in the V-direction of 248.27 km/s by evaluation the proper motion measurements from Reid & Brunthaler (2004) at our chosen Solar radius;
  • The Sun placed 25 pc above the plane (Jurić et al. 2008);
  • The peculiar solar velocities U = 11.1 km/s and W=7.25 km/s by Schönrich et al. (2020) but V=15.17 km/s.

The input values for each star were:

Collated radial velocity measurements

Download GALAH_DR3_VAC_rv_v2.fits (67 MB)

This catalogue collates several radial velocities measurements for each star. The full list of columns is on the Table Schema documentation.

  • rv_obst and rv_nogr_obst (and their error columns)
    • Zwitter et al. (2020) created essentially noiseless observed spectra from the median spectra for all GALAH DR3 stars belonging to the same bin with a width of 50 K in temperature, 0.2 dex in gravity, and 0.1 dex in metallicity. The observed spectra are then cross-correlated with these noiseless spectra to measure radial velocities with a typical accuracy of 0.1 km/s. The rv_nogr_obst reports the value without the gravitational redshift correction.
  • rv_sme_v2 (and its error columns)
    • The radial velocity calculated by SME as part of the stellar parameter and abundance determination.
    • There is also a rv_sme_v1 column which was the value found in the original GALAH DR3 release which had an incorrect barycentric correction.
  • dr2_radial_velocity (and its error columns)
    • Radial velocity from Gaia DR2
    • This value is also listed as rv_gaia_dr2 in GALAH_DR3_main_allstar_v2 and GALAH_DR3_main_allspec_v2.

The rv_galah in GALAH_DR3_main_allstar_v2, GALAH_DR3_main_allspec_v2, and GALAH_DR3_VAC_rv_v2 reports our best value for the radial velocity of each spectrum. The method used for a given spectrum is provided by the use_rv_flag in the GALAH_DR3_VAC_rv_v2 and GALAH_DR3_VAC_dynamics_v2 catalogues: (0) rv_obst (83% of spectra); (1) rv_sme_v2 (13% of spectra); (2) dr2_radial_velocity (2% of spectra); or (4) no value (2% of spectra).

3D NLTE Li abundances

We provide two versions of the GALAH 3D NLTE Li abundances catalogue. These catalogues contain Li abundances and equivalent widths per star (allstar) and per spectra (allspec). The full list of columns is on the Table Schema documentation.

Download GALAH_DR3_VAC_li_allstar_v2.fits (133 MB)

We recommend using allstar for most science cases interested in stellar Li abundances.

In general, this catalogue contains

  • Columns from DR3 all end with _DR3, with the exception of the target identification columns
    • sobject_id and star_id for target identification
    • We replicate measured stellar properties: vbroad_DR3, rv_DR3, snr_DR3, teff_DR3, logg_DR3, fe_h_DR3; and their associated errors: e_teff_DR3, e_logg_DR3, e_fe_h_DR3 from GALAH DR3 for completeness
    • We replicate the GALAH DR3 1D NLTE Li abundances ALi_DR3 and its associated error value e_ALi_DR3
    • In addition, we replicate the relevant flags for these paramters: flag_sp_DR3, flag_fe_h_DR3, flag_ALi_DR3
  • New columns not from DR3
    • Our measured parameters with no reported errors include fwhm_broad, fwhm_Li, delta_rv_6708
    • We measure EW and its associated error values e_EW_low, e_EW_upp, e_EW_norris
    • We provide measured Li abundances, ALi and its associated error values: e_ALi_low, e_ALi_upp, and e_ALi_teff. In the case of non-dections, we instead provide an upper limit ALi_upp_lim
    • We provide a new flag associated with the abundance and equivalent width columns, flag_ALi

For the new flags as part of this catalogue, we recommend flag_ALi < 2 when using Li abundances and flag_ALi < 4 when using Li equivalent widths. For the flags replicated from DR3, we give the same recommendation as the main DR3 data release (see using the data for more information).

Download GALAH_DR3_VAC_li_allspec_v2.fits (153 MB)

The allspec catalogue is not recommended for most science cases. Like the main DR3 catalogue, it contains results per spectra (rather than per star).

The columns in this catalogue are the exact same as allstar.

This table is part of the published journal article by Wang et al. (MNRAS, in press).

FGK binary stars

Binary stellar systems represent a significant fraction of stars in our Galaxy. Therefore, their effect on observations, as well as their impact on the Galactic environment, have to be properly taken into account when studying Galactic structure and evolution. To this end, we present a sample of 12760 binary systems for which the properties of their stellar components were derived in a separate analysis from the main DR3 analysis.

The details of the analysis are described in Traven et al. (2020), and the catalogue of derived parameters is available at CDS.

List of all possible GALAH fields and field configurations

Download target/galahfco_3_public.txt (934 KB)

This lists all 7993 possible fields in the current target selection catalogue of the GALAH survey. For a given field centre (i.e., a given ra, dec) there is an associated unique identifer (field_id). For a given field_id, there can be one or more possible observable fields — for instance if the target density is high enough, or there are bright and faint fields. Each possible configuration has a unique identifer of fco_id.

  • Field configuration identifier: fco_id
  • Unique field identifier: field_id (and parent for legacy reasons)
  • Field centre location (ra, dec)
  • Field radius in degrees (radius)
  • The subsurvey name (progname)
    • Possible values: bright, galah, galah_faint, galah_ufaint, k2, ocluster, repeat0, tess
  • Magnitude range of the field (vmin and vmax)
  • Magnitude used to set exposure time (vexp)
  • The selection function (selfunc)
  • Magnitude used for complicated selection functions (vsplit)
  • Internal use only values (active, name, priority, special, max_observed)

Getting the catalogues

We recommend the GALAH_DR3_main_allstar_v2.fits catalogue if you want our best effort stellar parameters and elemental abundances. This catalogue can be directly downloaded from Data Central.

Please read our best practices for using GALAH DR3.

Our primary repository of GALAH DR3 is provided by Data Central from the Optical Data Centre. From them you can directly download the catalogues as FITS files, or via an ADQL query.

Most of our catalogues are also found on VizieR service of the Centre de Données astronomiques de Strasbourg (CDS).

Downloading the FITS files

The catalogues can be downloaded from Data Central as FITS files, or using the following command (removing the --spider flag and replacing with the appropriate file name as listed below):

# Download the galah_dr3.main_star catalogue
wget --spider https://cloud.datacentral.org.au/teamdata/GALAH/public/GALAH_DR3/GALAH_DR3_main_allstar_v2.fits

ADQL query

The Data Central catalogues cannot be accessed via external tools such as TOPCAT.

The catalogues can be accessed using the query services provided by Data Central. The Data Central schema browser contains the table and column names. The latest GALAH release is Data Release 3.2.

As an example, here the ADQL query for Data Central that would retrieve the first 100 likely members of globular cluster ω Centauri found in GALAH DR3:

SELECT
   TOP 100
   galah_main.sobject_id, galah_main.rv_galah,
   galah_main.fe_h, gaia_vac.dr3_source_id
   FROM galah_dr3p2.main_star as galah_main
   INNER JOIN galah_dr3p2.vac_gaia_edr3 as gaia_vac on galah_main.dr3_source_id = gaia_vac.dr3_source_id
   WHERE galah_main.flag_sp = 0 AND galah_main.flag_fe_h = 0
   AND sqrt(power(gaia_vac.pmra-(-3.2),2)+power(gaia_vac.pmdec-(-6.9),2)) < 1.5
   AND galah_main.rv_galah > 170
   AND 1=CONTAINS(POINT('ICRS', gaia_vac.ra, gaia_vac.dec),
                  CIRCLE('ICRS', 201.6836, -47.5068, 1.0 ))

Data Central’s ADQL engine does not like column name clashes. So if you are merging tables, it is necessary to explicitly list the columns of interest.

VizieR

The GALAH DR3 catalogues can be accessed through VizieR service of the Centre de Données astronomiques de Strasbourg (CDS). These provide the two main catalogies of stellar parameters and elemental abundances, and the value-added catalogues of ages, dynamics, and radial velocities.

Note that the column names may be different on the VizieR versions due to CDS naming requirements. For instance all the abundance columns take the form [X/Fe] rather than x_fe.