Learning about stars from their colors
C. Allende Prieto

TL;DR
This study investigates how well stellar atmospheric parameters can be inferred solely from broad-band photometry across UV to mid-IR wavelengths, highlighting the importance of UV data and modeling accuracy.
Contribution
It provides a comprehensive analysis of the potential and limitations of photometric data in determining stellar parameters, emphasizing the role of UV passbands and Gaia spectrophotometry.
Findings
Effective temperature can be accurately estimated from optical photometry.
Metallicity and surface gravity are poorly constrained without UV data.
Adding UV photometry significantly improves parameter retrieval and degeneracy breaking.
Abstract
We pose the question of how much information on the atmospheric parameters of late-type stars can be retrieved purely from colors using standard photometric systems. We carried out numerical experiments using stellar fluxes from model atmospheres, injecting random noise before analyzing them. We examined the presence of degeneracies among atmospheric parameters, and evaluated how well the parameters are extracted depending on the number and wavelength span of the photometric filters available, from the UV GALEX to the mid-IR WISE passbands. We also considered spectrophotometry from the Gaia mission. We find that stellar effective temperatures can be determined accurately ( 0.01 dex or about 150 K) when reddening is negligible or known, based merely on optical photometry, and the accuracy can be improved twofold by including IR data. On the other hand, stellar metallicities…
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