MCMCI: Markov Chain Monte Carlo + Isochrones method for characterizing exoplanetary systems

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Ada Coda
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MCMCI: Markov Chain Monte Carlo + Isochrones method for characterizing exoplanetary systems

Post by Ada Coda » Fri Jan 31, 2020 10:34 pm

MCMCI: Markov Chain Monte Carlo + Isochrones method for characterizing exoplanetary systems

Abstract: MCMCI (Markov chain Monte Carlo + isochrones) characterizes a whole exoplanetary system directly by modeling the star and its planets simultaneously. The code, written in Fortran, uses light curves and basic stellar parameters with a transit analysis algorithm that interacts with stellar evolutionary models, thus using both model-dependent and empirical age indicators to characterize the system.

Credit: Bonfanti, Andrea; Gillon, Michaël

Site: https://github.com/Bonfanti88/MCMCI
https://ui.adsabs.harvard.edu/abs/2019arXiv191212632B

Bibcode: 2020ascl.soft01012B

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2019arXiv191212632B

ID: ascl:2001.012

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