From TDEs and GRBs to supernovae - Redback: A Bayesian inference software package for electromagnetic transients

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• Nikhil Sarin (Stockholm University)
• Wednesday 09 October 2024, 16:30-17:30
• Hoyle Committee Room, IoA.

If you have a question about this talk, please contact km723.

Fulfilling the rich promise of rapid advances in time-domain astronomy is only possible through confronting our observations with physical models and extracting the parameters that best describe what we see at an individual object level and hierarchically, at a population level. In this talk, I will describe Redback, a Bayesian inference software package for electromagnetic transients. Redback provides an object-orientated Python interface to over 12 different samplers and over 100 different models for kilonovae, supernovae, gamma-ray burst afterglows, tidal disruption events, engine-driven transients, among other explosive transients enabling inference at scale on single objects and populations. Redback also serves as an engine to simulate observations from real surveys such as LSST and ZTF and hypothetical user-constructed surveys to enable survey optimisation and design. I will showcase some features and typical use cases of the Redback software and highlight results already enabled by this package for TDEs, supernovae, and GRBs.

This talk is part of the Astro Data Science Discussion Group series.

This talk is included in these lists:

• Astro Data Science Discussion Group
• Cambridge Astronomy Talks
• Combined External Astrophysics Talks DAMTP
• Cosmology, Astrophysics and General Relativity
• Hoyle Committee Room, IoA
• Institute of Astronomy Extra Talks
• Institute of Astronomy Talk Lists

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