GALAH DR3 catalogues
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
)
Recommended catalogue of stellar parameters and abundances
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
anddr3_source_id
respectively)
- the GALAH observation ID (
- 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
)
- Effective temperature (
- Barycentric radial velocity of the star (
rv_galah
) - Elemental abundances (and their errors) for:
- These all take the form
X_fe
, whereX
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
- These all take the form
- 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
)
- The internal survey name (
- Photometry:
- V magnitude estimated from 2MASS J and Ks mag (
v_jk
) - 2MASS (
j_m
,h_m
,ks_m
) - WISE (
w2mpro
)
- V magnitude estimated from 2MASS J and Ks mag (
- 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
, whereX1234
is the element’s chemical symbol and the wavelength
- These all take the form
- 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
)
- Results from our initial GUESS pipeline (
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:
- GALAH DR3
sobject_id
andstar_id
- All columns from
gaiaedr3.gaia_source
(withsource_id
renameddr3_source_id
) - All columns from
gaiaedr3.dr2_neighbourhood
:- e.g.,
angular_distance
,magnitude_difference
,proper_motion_propagation
- e.g.,
- Photogeometric and Geometric Distances from Bailer-Jones et al. (2020)
- Zeropoints from Lindegren et al. (2020)
Some notes and caveats about the cross-match between GALAH DR3 and Gaia eDR3:
- This cross-match used the previously identified Gaia DR2
source_id
for each GALAH DR3 star, and thegaiaedr3.dr2_neighbourhood
table created by the Gaia team. The Gaia DR2source_id
had been found using thegaiadr2.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 Gaiasource_id
as we have not attempted to find them in Gaia eDR3 and they never had a Gaia DR2source_id
. Of these 38 are bright stars and do have a parallax from Hipparcos.
- There are 111 entries in the
- 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
andm_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
andabs_ks_bstep
) - effective temperature (
teff_bstep
) - surface gravity (
logg_bstep
) - initial and current metallicity (
meh_ini_bstep
andmeh_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 thanvR_Rzphi
. The initial release of this table did reportvphi_Rzphi
. We changed tovT_Rzphi
because due to the normalisation within galpy the notation was confusing. - If
vphi_Rzphi
is desired, it can be calculated asvphi_Rzphi = vT_Rzphi * (8.21 kpc) / R_Rzphi
- Note that we report
- 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:
- Sky positions (
ra
,dec
) and proper motions (pmra
,pmdec
) from Gaia eDR3 (see theGALAH_DR3_VAC_GaiaEDR3_v2
catalogue above.) - Radial velocities from GALAH DR3 (
rv_galah
)- See the value-added catalogue of Collated radial velocity measurements below.
- Distances from GALAH (
distance_bstep
)- See the BSTEP catalogue above
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
andrv_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.
- 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_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
inGALAH_DR3_main_allstar_v2
andGALAH_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).
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
(andparent
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
- Possible values:
- Magnitude range of the field (
vmin
andvmax
) - 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 versions served by Data Central are currently our initial DR3 release and contain some minor errors.
The catalogues can be accessed using the query services provided by Data Central. For example, if you are interested in all of the entries for stars likely to be members of the globular cluster ω Centauri, these could be found using a query like:
SELECT
TOP 100
*
FROM galah_dr3.main_star -- GALAH_DR3_main_allstar_v2
WHERE
1=CONTAINS(POINT('ICRS', ra, dec),
CIRCLE('ICRS', 201.6836, -47.5068, 1.0 ))
AND sqrt(power(pmra-(-3.2),2)+power(pmdec-(-6.9),2)) < 1.5
AND rv_galah > 170
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
.