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[ascl:2302.014] kima: Exoplanet detection in RVs with DNest4 and GPs

kima fits Keplerian curves to a set of RV measurements, using the Diffusive Nested Sampling (ascl:1010.029) algorithm to sample the posterior distribution for the model parameters. Additionally, the code can calculate the fully marginalized likelihood of a model with a given number of Keplerians and also infer the number of Keplerian signals detected in a given dataset. kima implements dedicated models for different analyses of a given dataset. The models share a common organization, but each has its own parameters (and thus priors) and settings.

Code site:
https://github.com/j-faria/kima https://www.kima.science
Used in:
https://ui.adsabs.harvard.edu/abs/2020A%2526A...635A..13F
Described in:
https://ui.adsabs.harvard.edu/abs/2018JOSS....3..487F
Bibcode:
2023ascl.soft02014F

Views: 927

ascl:2302.014
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