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kima is a package for the detection and characterization of exoplanets in radial-velocity data.
It uses the Diffusive Nested Sampling algorithm to estimate the posterior distribution of the orbital parameters. A correlated noise model, based on Gaussian processes, can also be used to deal with stellar-induced (non-planetary) signals.
Additionally, kima calculates the fully marginalized likelihood or evidence, marginalizing over the number of planet signals.

Repository Address: https://github.com/j-faria/kima

Archive DOI: pending