BayesFlare: Bayesian method for detecting stellar flares

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Ada Coda
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BayesFlare: Bayesian method for detecting stellar flares

Post by Ada Coda » Wed Jul 30, 2014 6:24 am

BayesFlare: Bayesian method for detecting stellar flares

Abstract: 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.

Credit: Pitkin, M.; Williams, D.; Fletcher, L.; Grant, S. D. T.

Site: https://github.com/BayesFlare/bayesflar ... tag/v1.0.0
https://ui.adsabs.harvard.edu/abs/2014MNRAS.445.2268P

Bibcode: 2014ascl.soft07015P

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2014MNRAS.445.2268P

ID: ascl:1407.015
Last edited by Ada Coda on Sun Apr 11, 2021 6:04 pm, edited 1 time in total.
Reason: Updated code entry.

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