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Transit Clairvoyance: Predicting multiple-planet systems for TESS

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Ada Coda
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Transit Clairvoyance: Predicting multiple-planet systems for TESS

Postby Ada Coda » Fri Nov 25, 2016 6:59 am

Transit Clairvoyance: Predicting multiple-planet systems for TESS

Abstract: 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.

Credit: Kipping, David M.; Lam, Christopher

Site: https://github.com/cl3425/Clairvoyance
http://adsabs.harvard.edu/abs/2017MNRAS.465.3495K

Bibcode: 2016ascl.soft11008K

ID: ascl:1611.008
Last edited by Ada Coda on Tue May 08, 2018 5:16 pm, edited 1 time in total.
Reason: Updated code entry.

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