Resolving Wolf-Rayet Binary Stars Using Tess Photoemetry

As of September 2024, there are 679 known Wolf-Rayet star systems, and their data have been compiled into an open access catalogue. Inclusion in the catalogue requires spectroscopic confirmation of the properties of WRs for the stars. Many are bright enough to have been observed with the Transiting Exoplanets Survey Satellite (TESS) mission, launched by NASA in 2018. For most of the star systems observed by TESS, not much information has yet been collected regarding their light curves and Fourier transformations. The light curves of a WR binary star system can tell us many things, such as the periodicity and if the system is eclipsing. The project hopes to provide further insight on many of these important attributes of most of these WR star systems so that future astronomers can have more accurate standards for what is typical for a WR system and what is not. After extracting the light curves, a machine learning pipeline will be created, which will attempt to cluster and characterize the stars in many different ways.

Publication Details

Journal
Scholarly Commons (Embry–Riddle Aeronautical University)
Published
2025-04-08
Primary Topic
Space Science and Extraterrestrial Life
Type
article
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article

Resolving Wolf-Rayet Binary Stars Using Tess Photoemetry

Scholarly Commons (Embry–Riddle Aeronautical University)
Space Science and Extraterrestrial Life
article

Resolving Wolf-Rayet Binary Stars Using Tess Photoemetry

article en

Abstract

As of September 2024, there are 679 known Wolf-Rayet star systems, and their data have been compiled into an open access catalogue. Inclusion in the catalogue requires spectroscopic confirmation of the properties of WRs for the stars. Many are bright enough to have been observed with the Transiting Exoplanets Survey Satellite (TESS) mission, launched by NASA in 2018. For most of the star systems observed by TESS, not much information has yet been collected regarding their light curves and Fourier transformations. The light curves of a WR binary star system can tell us many things, such as the periodicity and if the system is eclipsing. The project hopes to provide further insight on many of these important attributes of most of these WR star systems so that future astronomers can have more accurate standards for what is typical for a WR system and what is not. After extracting the light curves, a machine learning pipeline will be created, which will attempt to cluster and characterize the stars in many different ways.

Scholarly Commons (Embry–Riddle Aeronautical University)
Openalex Percentile: Top 54%
Space Science and Extraterrestrial Life
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