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[ascl:1611.008] Transit Clairvoyance: Predicting multiple-planet systems for TESS

Transit Clairvoyance uses Artificial Neural Networks (ANNs) to predict the most likely short period transiters to have additional transiters, which may double the discovery yield of the TESS (Transiting Exoplanet Survey Satellite). Clairvoyance is a simple 2-D interpolant that takes in the number of planets in a system with period less than 13.7 days, as well as the maximum radius amongst them (in Earth radii) and orbital period of the planet with maximum radius (in Earth days) in order to predict the probability of additional transiters in this system with period greater than 13.7 days.

Code site:
https://github.com/cl3425/Clairvoyance
Appears in:
http://adsabs.harvard.edu/abs/2016arXiv161104904K
Bibcode:
2016ascl.soft11008K

ascl:1611.008
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