Published in

Oxford University Press (OUP), Monthly Notices of the Royal Astronomical Society, 1(490), p. 927-946, 2019

DOI: 10.1093/mnras/stz2589

Links

Tools

Export citation

Search in Google Scholar

A Bayesian Fermi-GBM short GRB spectral catalogue

Journal article published in 2019 by J. Michael Burgess ORCID, Jochen Greiner, Damien Bégué, Franceso Berlato
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

ABSTRACT Inspired by the confirmed detection of a short gamma-ray burst (GRB) in association with a gravitational wave signal, we present the first Bayesian Fermi-Gamma-ray Burst Monitor (GBM) short GRB spectral catalogue. Both peak flux and time-resolved spectral results are presented. Data are analysed with the proper Poisson likelihood allowing us to provide statistically reliable results even for spectra with few counts. All fits are validated with posterior predictive checks. We find that nearly all spectra can be modelled with a cut-off power law. Additionally, we release the full posterior distributions and reduced data from our sample. Following our previous study, we introduce three variability classes based on the observed light-curve structure.

Beta version