A Bayesian Fermi-GBM Short GRB Spectral Catalog

TL;DR

This paper presents a comprehensive Bayesian spectral catalog for short gamma-ray bursts detected by Fermi-GBM, including spectral analysis, posterior distributions, and variability classification, enhancing understanding of short GRB properties.

Contribution

It introduces the first fully Bayesian spectral catalog for Fermi-GBM short GRBs, including peak flux, time-resolved spectra, and variability classes, with full posterior data release.

Findings

First Bayesian spectral catalog for short GRBs

Introduction of three variability classes based on light curve structure

Provision of full posterior distributions and reduced data

Abstract

With the confirmed detection of short gamma-ray burst (GRB) in association with a gravitational wave signal, we present the first fully Bayesian {\it Fermi}-GBM short GRB spectral catalog. Both peak flux and time-resolved spectral results are presented. Additionally, we release the full posterior distributions and reduced data from our sample. Following our previous study, we introduce three variability classes based of the observed light curve structure.