NEIDSpecMatch: stellar parameter estimation with NEID spectra using an empirical library
Abstract
We introduce NEIDSpecMatch, a tool developed to extract stellar parameters from spectra obtained with the NEID spectrograph. NEIDSpecMatch is based on SpecMatch-Emp and HPFSpecMatch, which estimate stellar parameters by comparing the observed spectrum to well-characterized library spectra. This approach has proven effective for M dwarfs. Utilizing a library of 78 stellar spectra covering effective temperatures from K, NEIDSpecMatch derives key parameters, including effective temperature, metallicity, surface gravity, and projected rotational velocity. Cross-validation shows median uncertainties of , , and across 49 orders. We showcase its application by fitting the spectrum of an M-dwarf and discuss its utility across a wide range of spectra observed with NEID. NEIDSpecMatch is pip-installable.
Keywords
Cite
@article{arxiv.2503.16729,
title = {NEIDSpecMatch: stellar parameter estimation with NEID spectra using an empirical library},
author = {Te Han and Paul Robertson and Caleb I. Cañas and Gudmundur Stefansson and Shubham Kanodia and Joe P. Ninan and Jaime A. Alvarado-Montes and Chad F. Bender and Jiayin Dong and Rachel Fernandes and Arvind F. Gupta and Samuel Halverson and Daniel M. Krolikowski and Andrea S. J. Lin and Suvrath Mahadevan and Leonardo A. Paredes and Arpita Roy and Christian Schwab and Ryan C. Terrien},
journal= {arXiv preprint arXiv:2503.16729},
year = {2025}
}
Comments
4 pages, 1 figure. RNAAS accepted