The power of XP Gaia spectrophotometry and Self-Organizing Maps to analyze the evolutionary state and physical properties of Milky Way stars

Abstract

The Gaia space telescope is able to gather a vast amount of data from each of the sources it explores. Among them, are the Blue and Red Photometer (BP/RP) spectra, also known as XP spectra. Most of those sources (and their physical properties) are easy to identify, but for some others, it is necessary to perform a deeper study on them. More precisely, at the Outlier Analysis (OA) working package, led by the University of A Coruña, it was created an artificial intelligence algorithm able to determine the spectral type of those atypical objects, which is followed by a template-matching procedure. In this work, it is introduced a method to extract representative sources to be used as templates from a Hertzsprung-Russell diagrams according to the evolutionary stage of the stars of which it is composed. Therefore, we will be able to make a more refined star-classification for the following Gaia's Data Release.