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[ascl:2107.008] nimbus: A Bayesian inference framework to constrain kilonova models

nimbus is a hierarchical Bayesian framework to infer the intrinsic luminosity parameters of kilonovae (KNe) associated with gravitational-wave (GW) events, based purely on non-detections. This framework makes use of GW 3-D distance information and electromagnetic upper limits from a given survey for multiple events, and self-consistently accounts for finite sky-coverage and probability of astrophysical origin.

Code site:
https://github.com/sidmohite/nimbus-astro
Described in:
https://ui.adsabs.harvard.edu/abs/2021arXiv210707129M
Bibcode:
2021ascl.soft07008M

Views: 372

ascl:2107.008
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