prvjapan/BayesianDI: v1.0.0

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Authors: ureshin0, Hajime Kawahara
Cited by: 1

Abstract

BayesianDI is a Bayesian Doppler imaging framework for the simultaneous inference of surface maps and geometric parameters from time-resolved high-resolution spectra. The package implements a linear inverse formulation with analytic marginalization of linear surface parameters and Bayesian sampling of nonlinear geometric parameters. Initial archived release of BayesianDI under the prvjapan organization. This release preserves the code history mirrored from the original repository: https://github.com/ureshin0/BayesianDI

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 May 2026