Bayesian Time-Resolved Spectroscopy of Multi-Pulsed GRBs: Variations of Emission Properties amongst Pulses
Liang Li, Felix Ryde, Asaf Pe'er, Hoi-Fung Yu, Zeynep Acuner

TL;DR
This study uses Bayesian spectral analysis on Fermi/GBM data to examine how emission properties vary across pulses in GRBs, revealing trends in spectral softness, emission mechanisms, and their evolution over time.
Contribution
It provides the first comprehensive Bayesian time-resolved spectral analysis of multi-pulse GRBs, highlighting the evolution of emission mechanisms and spectral properties across pulses.
Findings
Pulses generally become softer over time.
Early pulses often show photospheric emission, late pulses favor synchrotron.
Spectral parameters often track light-curve variations.
Abstract
Gamma-ray bursts (GRBs) are highly variable and exhibit strong spectral evolution. In particular, the emission properties vary from pulse to pulse in multipulse bursts. Here we present a time-resolved Bayesian spectral analysis of a compilation of GRB pulses observed by the {\it Fermi}/Gamma-ray Burst Monitor. The pulses are selected to have at least four timebins with a high statistical significance, which ensures that the spectral fits are well determined and that spectral correlations can be established. The sample consists of 39 bursts, 117 pulses, and 1228 spectra. We confirm the general trend that pulses become softer over time, with mainly the low-energy power-law index becoming smaller. A few exceptions to this trend exist, with the hardest pulse occurring at late times. The first pulse in a burst is clearly different from the later pulses; three-fourths of them violate…
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