GSP-spec line list for the parametrisation of Gaia -RVS stellar spectra
G. Contursi, P. de Laverny, A. Recio-Blanco, P. A. Palicio

TL;DR
This paper develops a specialized line list for Gaia-RVS spectra analysis, improving the accuracy of stellar parameter estimation for late-type stars by refining atomic data based on observed and synthetic spectra comparisons.
Contribution
The authors created and validated a new line list optimized for Gaia-RVS spectra, enhancing the accuracy of stellar parameter determination for late-type stars.
Findings
The new line list yields high-quality synthetic spectra for reference stars.
It improves the accuracy of stellar atmospheric parameters in Gaia data.
The line list is adopted within the GSP-Spec pipeline.
Abstract
The Gaia mission is a magnitude-limited whole-sky survey that collects an impressive quantity of astrometric, spectro-photometric and spectroscopic data. Among all the on-board instruments, the Radial Velocity Spectrometer (RVS) produces millions of spectra up to a magnitude of G. For the brightest RVS targets, stellar atmospheric parameters and individual chemical abundances are automatically estimated by the Generalized Stellar Parametriser - spectroscopy group (GSP-Spec). These data will be published with the third Gaia Data Release. Some major ingredients of the determination of these stellar parameters include the atomic and molecular line lists that are adopted to compute reference synthetic spectra, on which the parametrisation methods rely. We aim to build such a specific line list optimised for the analysis of RVS late-type star spectra. Starting from the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAstronomy and Astrophysical Research · Stellar, planetary, and galactic studies · Astronomical Observations and Instrumentation
