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Bayesian inference of three-dimensional gas maps: Galactic CO
2021
Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)
unpublished
The three-dimensional distribution of both atomic and molecular gas in the Galaxy is a crucial modelling input, both for the generation of diffuse emission in gamma-rays and the transport of cosmic rays. Here, we present new 3D maps of molecular hydrogen based on the Dame et al. (2001) CO survey compilation. We consider the deprojection as a Bayesian variational inference problem. The posterior distribution of the gas densities allows us to estimate both the mean and uncertainty of the
doi:10.22323/1.395.0682
fatcat:aemkib37tvaylooynwsaibrvtu