ASCL Code Record
[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
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