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[ascl:1407.015] BayesFlare: Bayesian method for detecting stellar flares

BayesFlare identifies flaring events in light curves released by the Kepler mission; it identifies even weak events by making use of the flare signal shape. The package contains functions to perform Bayesian hypothesis testing comparing the probability of light curves containing flares to that of them containing noise (or non-flare-like) artifacts. BayesFlare includes functions in its amplitude-marginalizer suite to account for underlying sinusoidal variations in light curve data; it includes such variations in the signal model, and then analytically marginalizes over them.

Code site:
https://github.com/BayesFlare/bayesflare/releases/tag/v1.0.0
Described in:
http://adsabs.harvard.edu/abs/2014MNRAS.445.2268P
Bibcode:
2014ascl.soft07015P

Views: 2213

ascl:1407.015
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