A Bayesian Inference Framework for Gamma-ray Burst Afterglow Properties

A Bayesian Inference Framework for Gamma-ray Burst Afterglow Properties

In the field of multi-messenger astronomy, Bayesian inference is commonly adopted to compare the compatibility of models given the observed data. However, to describe a physical system like neutron star mergers and their associated gamma-ray burst (GRB) events, usually more than ten physical paramet...

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Bibliografiska uppgifter
Huvudupphovsmän: En-Tzu Lin, Fergus Hayes, Gavin P. Lamb, Ik Siong Heng, Albert K. H. Kong, Michael J. Williams, Surojit Saha, John Veitch
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2021-09-01
Serie:Universe
Ämnen:
Bayesian inference
multi-messenger astronomy
GRB afterglows
Länkar:https://www.mdpi.com/2218-1997/7/9/349

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