Principal component analysis-based inversion of effective temperatures for late-type stars

TL;DR

This paper extends a PCA-based inversion method to late-type stars, using synthetic spectra for FGK stars, and compares the results with existing temperature evaluations from astronomical databases.

Contribution

It introduces an extension of a PCA inversion method to late-type stars and incorporates synthetic spectra into the learning database.

Findings

Successful extension of PCA inversion to late-type stars

Effective temperature estimates align with existing catalogs

Demonstrates the method's applicability to a broader stellar range

Abstract

We show how the range of application of the principal component analysis-based inversion method of Paletou et al. (2015) can be extended to late-type stars data. Besides being an extension of its original application domain, for FGK stars, we also used synthetic spectra for our learning database. We discuss our results on effective temperatures against previous evaluations made available from Vizier and Simbad services at CDS.