$H$-band Temperature and Metallicity Indicators for Cool Giants: Empirical Relations in Bayesian Framework
Supriyo Ghosh (TIFR, Mumbai, India), J. P. Ninan (PSU, USA), and D. K., Ojha (TIFR, Mumbai, India)

TL;DR
This study develops empirical relations using Bayesian methods to accurately determine the effective temperature and metallicity of cool giant stars from low-resolution near-infrared spectra, expanding the parameter space and precision of stellar diagnostics.
Contribution
It introduces new Bayesian-based empirical relations for stellar parameters in cool giants using H-band spectral features, with improved accuracy over previous methods.
Findings
Identified key spectral features as effective temperature indicators with ~120-150 K accuracy.
Established metallicity estimators with ~0.22-0.28 dex accuracy using cubic Bayesian models.
Revealed metallicity-dependent correlations between spectral features and stellar parameters.
Abstract
We explored here the near-infrared -band atmospheric window aiming to provide quantitative diagnostic tools for deriving stellar parameters, for instance, effective temperature () and metallicity ([]), of cool giants ( 5000 K) using low-resolution spectra. We obtained 177 cool giants from the X-shooter spectral library covering a wider metallicity range (2.35 dex [] 0.5 dex) than in earlier works. Degrading the spectral resolution to R 1200, we estimated equivalent widths of several important spectral features, and the behavior of spectral features with stellar parameters are studied. Also, the empirical relations for deriving and [] are established in the Bayesian framework. We found that CO at 1.56 m and 1.62 m, and CO+MgI at 1.71 m are the best three indicators with a typical…
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