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Article Dans Une Revue Mon.Not.Roy.Astron.Soc. Année : 2024

Redback: A Bayesian inference software package for electromagnetic transients

Nikhil Sarin
  • Fonction : Auteur
Moritz Hübner
  • Fonction : Auteur
Conor M.B Omand
  • Fonction : Auteur
Christian N Setzer
  • Fonction : Auteur
Steve Schulze
  • Fonction : Auteur
Naresh Adhikari
  • Fonction : Auteur
Ana Sagués-Carracedo
  • Fonction : Auteur
Wendy F Wallace
  • Fonction : Auteur
Gavin P Lamb
  • Fonction : Auteur
En-Tzu Lin
  • Fonction : Auteur

Résumé

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. Here, we introduce {\sc Redback}; a Bayesian inference software package for electromagnetic transients. {\sc Redback} provides an object-orientated {\sc 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, X-ray afterglows of gamma-ray bursts driven by millisecond magnetars among other explosive transients. The models range in complexity from simple analytical and semi-analytical models to surrogates built upon numerical simulations accelerated via machine learning. {\sc Redback} also provides a simple interface for downloading and processing data from Swift, Fink, Lasair, the open-access catalogues, and BATSE and fit this or private data. {\sc Redback} can also be used as an engine to simulate transients for telescopes such as the Zwicky Transient Facility and Vera Rubin with realistic cadences, limiting magnitudes, and sky-coverage or a hypothetical user-constructed survey with arbitrary settings. We also provide a more general simulation interface suitable for target of opportunity observations with different telescopes. We demonstrate through a series of examples how {\sc Redback} can be used as a tool to simulate a large population of transients for realistic surveys, fit models to real, simulated, or private data, multi-messenger inference and serve as an end-to-end software toolkit for parameter estimation and interpreting the nature of electromagnetic transients.

Dates et versions

hal-04201948 , version 1 (11-09-2023)

Identifiants

Citer

Nikhil Sarin, Moritz Hübner, Conor M.B Omand, Christian N Setzer, Steve Schulze, et al.. Redback: A Bayesian inference software package for electromagnetic transients. Mon.Not.Roy.Astron.Soc., 2024, 531 (1), pp.1203-1227. ⟨10.1093/mnras/stae1238⟩. ⟨hal-04201948⟩
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