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Here we present an open source Python-based Bayesian orbit retrieval code(Nii) that implements an automatic parallel tempering Markov chain Monte Carlo(APT-MCMC) strategy. Nii provides a module to simulate the observations of aspace-based astrometry mission in the search for exoplanets, a signalextraction process for differential astrometric measurements using multiplereference stars, and an orbital parameter retrieval framework using APT-MCMC.We further verify the orbit retrieval ability of the code through two examplescorresponding to a single-planet system and a dual-planet system. In bothcases, efficient convergence on the posterior probability distribution can beachieved. Although this code specifically focuses on the orbital parameterretrieval problem of differential astrometry, Nii can also be widely used inother Bayesian analysis applications.

Nii: a Bayesian orbit retrieval code applied to differential astrometry