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SUMMARY:From TDEs and GRBs to supernovae - Redback: A Bayesian inference s
 oftware package for electromagnetic transients - Nikhil Sarin (Stockholm U
 niversity)
DTSTART:20241009T153000Z
DTEND:20241009T163000Z
UID:TALK222766@talks.cam.ac.uk
CONTACT:65128
DESCRIPTION:Fulfilling the rich promise of rapid advances in time-domain a
 stronomy is only possible through confronting our observations with physic
 al 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 packag
 e for electromagnetic transients. Redback provides an object-orientated Py
 thon interface to over 12 different samplers and over 100 different models
  for kilonovae\, supernovae\, gamma-ray burst afterglows\, tidal disruptio
 n events\, engine-driven transients\, among other explosive transients ena
 bling inference at scale on single objects and populations. Redback also s
 erves as an engine to simulate observations from real surveys such as LSST
  and ZTF and hypothetical user-constructed surveys to enable survey optimi
 sation 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.
LOCATION:Hoyle Committee Room\, IoA
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