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Physics

University at Albany, State University of New York

Physics

Data management.

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Characterizing Kepler Objects Of Interest Using The Algorithm Exonest, Bertrand Carado May 2016

Characterizing Kepler Objects Of Interest Using The Algorithm Exonest, Bertrand Carado

Physics

Recent observations across the galaxy have led to the conclusion that there exist many different extrasolar systems. Using photometric effects, the amount of data that has been produced on exoplanets has significantly increased and will continue to rise. Finding new methods of data analysis to broaden the spectrum of research has therefore become a necessity. Exonest is an algorithm currently in development that uses Bayesian methods, and notably nested sampling, to infer characteristics about an exoplanet from its observed light curve.

In this paper, Exonest was tested by being used to study three extra-solar systems: each containing a single confirmed …