A Bayesian Fermi-GBM short GRB spectral catalogue

J. Michael Burgess; Jochen Greiner; Damien Bégué; Franceso Berlato

doi:10.1093/mnras/stz2589

A Bayesian Fermi-GBM short GRB spectral catalogue

J. Michael Burgess, Jochen Greiner, Damien Bégué, Franceso Berlato

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

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.

Original language	English
Pages (from-to)	927-946
Number of pages	20
Journal	Monthly Notices of the Royal Astronomical Society
Volume	490
Issue number	1
DOIs	https://doi.org/10.1093/mnras/stz2589
State	Published - 21 Nov 2019
Externally published	Yes

Bibliographical note

Publisher Copyright:
© The Author(s) 2019. Published by Oxford University Press on behalf of The Royal Astronomical Society.

Funding

Daniel Mortlock. DB and FB are supported by the Deutsche Forschungsgemeinschaft (SFB 1258).

Funders	Funder number
Deutsche Forschungsgemeinschaft	SFB 1258

Keywords

Catalogues
Gamma-ray burst: general
Methods: data analysis

Access to Document

10.1093/mnras/stz2589

Cite this

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A Bayesian Fermi-GBM short GRB spectral catalogue

Abstract

Bibliographical note

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Keywords

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