On the Development and Applications of Automated Searches for Eclipsing Binary Stars
Jonathan Devor

TL;DR
This paper presents a large-scale automated pipeline for identifying and analyzing eclipsing binary stars from extensive photometric datasets, leading to new discoveries and detailed characterization of rare low-mass systems.
Contribution
Developed a systematic pipeline for detecting and modeling eclipsing binaries in large datasets, resulting in new candidate discoveries and detailed analysis of low-mass systems.
Findings
Identified over a dozen new low-mass eclipsing binary candidates.
Spectroscopically confirmed masses of five low-mass binaries.
Discovered a long-period binary consistent with magnetic disruption hypothesis.
Abstract
Eclipsing binary star systems provide the most accurate method of measuring both the masses and radii of stars. Moreover, they enable testing tidal synchronization and circularization theories, as well as constraining models of stellar structure and dynamics. With the recent availability of large-scale multi-epoch photometric datasets we were able to study eclipsing binary stars en masse. In this thesis, we analyzed 185,445 light curves from ten TrES fields, and 218,699 light curves from the OGLE II bulge fields. In order to manage such large quantities of data, we developed a pipeline with which we systematically identified eclipsing binaries, solved for their geometric orientations, and then found their components' absolute properties. Following this analysis we assembled catalogs of eclipsing binaries with their models, computed statistical distributions of their properties, and…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Stellar, planetary, and galactic studies · Astronomical Observations and Instrumentation
