Assessing the performance of LTE and NLTE synthetic stellar spectra in a machine learning framework

Spencer Bialek, Sébastien Fabbro, Kim A. Venn +3

In the current era of stellar spectroscopic surveys, synthetic spectral libraries are the basis for the derivation of stellar parameters and chemical abundances. In this paper, we…