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Full-Text Articles in Physical Sciences and Mathematics
Exonest: Bayesian Model Selection Applied To The Detection And Characterization Of Exoplanets Via Photometric Variations, Ben Placek, Kevin H. Knuth, Daniel Angerhausen
Exonest: Bayesian Model Selection Applied To The Detection And Characterization Of Exoplanets Via Photometric Variations, Ben Placek, Kevin H. Knuth, Daniel Angerhausen
Physics Faculty Scholarship
EXONEST is an algorithm dedicated to detecting and characterizing the photometric signatures of exoplanets, which include reflection and thermal emission, Doppler boosting, and ellipsoidal variations. Using Bayesian inference, we can test between competing models that describe the data as well as estimate model parameters. We demonstrate this approach by testing circular versus eccentric planetary orbital models, as well as testing for the presence or absence of four photometric effects. In addition to using Bayesian model selection, a unique aspect of EXONEST is the potential capability to distinguish between reflective and thermal contributions to the light curve. A case study is …
Bayesian Detection And Characterization Of Extra-Solar Planets Via Photometric Variations, Ben H. Placek
Bayesian Detection And Characterization Of Extra-Solar Planets Via Photometric Variations, Ben H. Placek
Legacy Theses & Dissertations (2009 - 2024)
Exoplanets are known to be responsible for a variety of photometric effects, which collectively can be used for both exoplanet detection and characterization. A portion of the observed flux variation originates directly from the exoplanet itself as both a reflected light component and thermal emission. Additional effects originate from the influence of the exoplanet on its host star. These include Doppler boosting, or beaming, caused by the radial velocity variations due to the stellar wobble, as well as variations in flux caused by the ellipsoidal shape of the star, which is induced by the planetary tidal forces. The newly developed …