FAMA: An automatic code for stellar parameter and abundance determination
Laura Magrini, Sofia Randich, Eileen Friel, Lorenzo Spina, Heather, Jacobson, Tristan Cantat-Gaudin, Paolo Donati, Roberto Baglioni, Enrico, Maiorca, Angela Bragaglia, Rosanna Sordo, Antonella Vallenari

TL;DR
FAMA is an automated Perl-based tool that derives stellar atmospheric parameters and element abundances from spectra, improving efficiency and objectivity in large spectroscopic surveys.
Contribution
It introduces a fully automatic method for stellar parameter and abundance determination based on simultaneous equilibria, with error analysis and adaptable convergence criteria.
Findings
Successfully tested on Solar spectrum EWs.
Demonstrated on stars from Galactic open and globular clusters.
Reduces subjective bias in spectroscopic analysis.
Abstract
The large amount of spectra obtained during the epoch of extensive spectroscopic surveys of Galactic stars needs the development of automatic procedures to derive their atmospheric parameters and individual element abundances. Starting from the widely-used code MOOG by C. Sneden, we have developed a new procedure to determine atmospheric parameters and abundances in a fully automatic way. The code FAMA (Fast Automatic MOOG Analysis) is presented describing its approach to derive atmospheric stellar parameters and element abundances. The code, freely distributed, is written in Perl and can be used on different platforms. The aim of FAMA is to render the computation of the atmospheric parameters and abundances of a large number of stars using measurements of equivalent widths as automatic and as independent of any subjective approach as possible. It is based on the simultaneous search for…
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.
