MSTAT: A Python Tool for Estimating Spectral Types of Stellar Companions from Differential Photometry

A python-based tool for reading the table of absolute magnitudes for dwarf (O-Y) stars as compiled by M. J. Pecaut & E. E. Mamajek and using this table to determine the most likely spectral type for a companion star has been developed. The tool is designed to take differential magnitudes between...

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Veröffentlicht in:Research notes of the AAS Jg. 9; H. 8; S. 229 - 228
Hauptverfasser: Felsmann, Miranda, Ciardi, David R.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The American Astronomical Society 29.08.2025
Schlagworte:
Astronomy software
Binary stars
Companion stars
Multiple stars
Software documentation
Stellar classification
ISSN:2515-5172, 2515-5172
Online-Zugang:Volltext
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Zusammenfassung:A python-based tool for reading the table of absolute magnitudes for dwarf (O-Y) stars as compiled by M. J. Pecaut & E. E. Mamajek and using this table to determine the most likely spectral type for a companion star has been developed. The tool is designed to take differential magnitudes between the primary star and the secondary star and return the most likely spectral type associated with secondary star. Primarily designed for use with companion detection done by high resolution imaging as part of the TESS follow-up observation program, the python code ( https://github.com/mfelsmann/mamajek_spectral_analysis ) can be run from a notebook or from the command line and has been made available to community for public use.
Bibliographie:AAS68504
Laboratory Astrophysics, Instrumentation, Software, and Data
ISSN:2515-5172
2515-5172
DOI:10.3847/2515-5172/adff76