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What is Bayesian Method for Dust Emissivity Analysis about?

This document presents a Bayesian inference methodology to characterize dust emissivity using the correlation between dust and hydrogen gas (Hi) in the diffuse interstellar medium. The method jointly infers pixel-dependent dust emissivity and zero-level offsets in Planck intensity maps using Galactic Hi maps as a template. It is demonstrated to be unbiased on realistic Planck sky simulations. As an application to data, the dust emissivity is characterized at 353 GHz with spatially varying emissivity found t

Author

Baishali Sur

Language

EN