Stellar Atmospheric Parameters: The Four-Step Program and Gaia's Radial Velocity Spectrometer

TL;DR

This paper presents a four-step automated methodology for determining stellar atmospheric parameters, crucial for analyzing large stellar spectra datasets like Gaia's Radial Velocity Spectrometer, ensuring consistency and reliability.

Contribution

It introduces a structured four-step program for automated stellar parameter determination, tailored for large-scale surveys such as Gaia.

Findings

Validated the four-step methodology on Gaia data

Ensured consistency through multiple verification stages

Facilitated large-scale automated spectral analysis

Abstract

The determination of atmospheric parameters is the first and most fundamental step in the analysis of a stellar spectrum. Current and forthcoming surveys involve samples of up to several million stars, and therefore fully automated approaches are required to handle not just data reduction but also the analysis, and in particular the determination of atmospheric parameters. We propose that a successful methodology needs, at the very least, to pass a series of consistency tests that we dub the 'four-step program'. This and related issues are discussed in some detail in the context of the massive data set to be obtained with the Radial Velocity Spectrometer onboard Gaia