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[ascl:1603.010] ExoPriors: Accounting for observational bias of transiting exoplanets

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.

Code site:
https://github.com/CoolWorlds/ExoPriors
Described in:
http://adsabs.harvard.edu/abs/2016arXiv160305662K
Bibcode:
2016ascl.soft03010K

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ascl:1603.010
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