Gaia RVS stellar labels using The Cannon : J/MNRAS/538/605

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Authors : Das P.B. orcid , Zucker D.B., De Silva G.M. (hide) , Zucker D.B., De Silva G.M. et..al

VizieR DOI : https://doi.org/10.26093/cds/vizier.75380605
Bibcode : 2025MNRAS.538..605D (ADS) (Simbad) (Objects)
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CDS Keywords : Surveys; Milky Way; Spectroscopy; Abundances
UAT : Surveys, Milky Way Galaxy, Spectroscopy, Chemical abundances

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Inserted into VizieR : 11-Mar-2025
Last modification : 22-May-2025

The GALAH Survey Stellar parameters and abundances for 800000 Gaia RVS spectra using GALAH DR4 and The Cannon. (2025)

Keywords : methods data analysis - methods: statistical - techniques: spectroscopic - surveys - stars: abundances - stars: fundamental parameters

Abstract:Analysing stellar parameters and abundances from nearly one million Gaia DR3 Radial Velocity Spectrometer (RVS) spectra poses challenges due to the limited spectral coverage (restricted to the infrared CaII triplet) and variable signal-to-noise ratios of the data. To address this, we use The Cannon, a data-driven method, to transfer stellar parameters and abundances from the GALAH Data Release 4 (DR4; R~28000) catalogue to the lower resolution Gaia DR3 RVS spectra (R~11500). Our model, trained on 14484 common targets, predicts parameters such as Teff, logg, and [Fe/H], along with several other elements across approximately 800000 Gaia RVS spectra. We utilise stars from open and globular clusters present in the Gaia RVS catalogue to validate our ...(more)
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We have demonstrated the capability of The Cannon; a data-driven machine learning approach to accurately determine stellar parameters (Teff and logg) and elemental abundances across a multi-dimensional label space, including [Fe/H], [Ca/Fe], [Si/Fe], [Ni/Fe], and [Ti/Fe], for 796633 Gaia DR3 RVS stars using stellar labels from GALAH DR4.
Pradosh Barun Das, pbdrohan(at)gmail.com

                


                

                    

                


                

                    

                


                

                    
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