NEIDSpecMatch: Stellar Parameter Estimation with NEID Spectra Using an Empirical Library
- Creators
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Han, Te1
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Robertson, Paul1
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Cañas, Caleb I.2
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Stefansson, Gudmundur3
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Kanodia, Shubham4
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Ninan, Joe P.5
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Alvarado-Montes, Jaime A.6
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Bender, Chad F.7
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Dong, Jiayin8, 9
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Fernandes, Rachel10
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Gupta, Arvind F.11
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Halverson, Samuel12
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Krolikowski, Daniel M.7
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Lin, Andrea S. J.13
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Mahadevan, Suvrath10
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Paredes, Leonardo A.7
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Roy, Arpita14
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Schwab, Christian6
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Terrien, Ryan C.15
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1.
University of California, Irvine
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2.
Goddard Space Flight Center
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3.
University of Amsterdam
- 4. Carnegie Science
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5.
Tata Institute of Fundamental Research
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6.
Macquarie University
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7.
University of Arizona
- 8. Flatiron Institute
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9.
University of Illinois Urbana-Champaign
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10.
Pennsylvania State University
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11.
NOIRLab
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12.
Jet Propulsion Lab
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13.
California Institute of Technology
- 14. Schmidt Sciences
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15.
Carleton College
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 3000–6000 K, NEIDSpecMatch derives key parameters, including effective temperature, metallicity, surface gravity, and projected rotational velocity. Cross-validation shows median uncertainties of σ_(Teff) = 115K, σ[Fe/H] = 0.143, and σ_(logg) = 0.073 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.
Copyright and License
© 2025. The Author(s). Published by the American Astronomical Society.
Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Acknowledgement
This work is supported by grant No. 80NSSC23K0263 under the NASA Exoplanet Research Program.
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Additional details
- National Aeronautics and Space Administration
- NASA Exoplanet Research Program 80NSSC23K0263
- Caltech groups
- Division of Physics, Mathematics and Astronomy (PMA)
- Publication Status
- Published