NEIDSpecMatch: stellar parameter estimation with NEID spectra using an empirical library
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2025
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866913749504360448 |
|---|---|
| author | Han, Te Robertson, Paul Cañas, Caleb I. Stefansson, Gudmundur Kanodia, Shubham Ninan, Joe P. Alvarado-Montes, Jaime A. Bender, Chad F. Dong, Jiayin Fernandes, Rachel Gupta, Arvind F. Halverson, Samuel Krolikowski, Daniel M. Lin, Andrea S. J. Mahadevan, Suvrath Paredes, Leonardo A. Roy, Arpita Schwab, Christian Terrien, Ryan C. |
| author_facet | Han, Te Robertson, Paul Cañas, Caleb I. Stefansson, Gudmundur Kanodia, Shubham Ninan, Joe P. Alvarado-Montes, Jaime A. Bender, Chad F. Dong, Jiayin Fernandes, Rachel Gupta, Arvind F. Halverson, Samuel Krolikowski, Daniel M. Lin, Andrea S. J. Mahadevan, Suvrath Paredes, Leonardo A. Roy, Arpita Schwab, Christian Terrien, Ryan C. |
| contents | 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 $σ_{T_{\mathrm{eff}}} = 115\,\mathrm{K}$, $σ_{[\mathrm{Fe/H}]} = 0.143$, and $σ_{\log g} = 0.073$ 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_16729 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | NEIDSpecMatch: stellar parameter estimation with NEID spectra using an empirical library Han, Te Robertson, Paul Cañas, Caleb I. Stefansson, Gudmundur Kanodia, Shubham Ninan, Joe P. Alvarado-Montes, Jaime A. Bender, Chad F. Dong, Jiayin Fernandes, Rachel Gupta, Arvind F. Halverson, Samuel Krolikowski, Daniel M. Lin, Andrea S. J. Mahadevan, Suvrath Paredes, Leonardo A. Roy, Arpita Schwab, Christian Terrien, Ryan C. Solar and Stellar Astrophysics Astrophysics of Galaxies High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics 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 $σ_{T_{\mathrm{eff}}} = 115\,\mathrm{K}$, $σ_{[\mathrm{Fe/H}]} = 0.143$, and $σ_{\log g} = 0.073$ 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. |
| title | NEIDSpecMatch: stellar parameter estimation with NEID spectra using an empirical library |
| topic | Solar and Stellar Astrophysics Astrophysics of Galaxies High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2503.16729 |