ExoPriors: Accounting for observational bias of transiting exoplanets

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Ada Coda
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ExoPriors: Accounting for observational bias of transiting exoplanets

Post by Ada Coda » Mon Mar 28, 2016 6:08 am

ExoPriors: Accounting for observational bias of transiting exoplanets

Abstract: ExoPriors calculates a log-likelihood penalty for an input set of transit parameters to account for observational bias (geometric and signal-to-noise ratio detection bias) of transiting exoplanets. Written in Python, the code calculates this log-likelihood penalty in one of seven user-specified cases specified with Boolean input parameters for geometric and/or SNR bias, grazing or non-grazing events, and occultation events.

Credit: Kipping, David M.; Sandford, Emily

Site: https://github.com/CoolWorlds/ExoPriors
http://adsabs.harvard.edu/abs/2016MNRAS.463.1323K

Bibcode: 2016ascl.soft03010K

ID: ascl:1603.010
Last edited by Ada Coda on Fri Nov 25, 2016 6:24 am, edited 1 time in total.
Reason: Updated code entry.

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