Bridging Model and Observed Stellar Spectra
Carlos Allende Prieto
TL;DR
This paper presents a least-squares calibration method to improve the agreement between theoretical stellar models and observed spectra, demonstrated on the MILES library.
Contribution
It introduces a general least-squares calibration procedure to empirically align model stellar spectra with observed data.
Findings
Improved match between model and observed spectra after calibration
Effective calibration method tested on the MILES library
Potential for enhancing stellar spectral analysis
Abstract
Accurate model stellar fluxes are key for the analysis of observations of individual stars or stellar populations. Model spectra differ from real stellar spectra due to limitations of the input physical data and adopted simplifications, but can be empirically calibrated to maximise their resemblance to actual stellar spectra. I describe a least-squares procedure of general use and test it on the MILES library.
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