Estimating Long GRB Jet Opening Angles and Rest-Frame Energetics
Adam Goldstein, Valerie Connaughton, Michael S. Briggs, Eric Burns

TL;DR
This paper introduces a novel method to estimate long GRB jet opening angles and energetics from prompt gamma-ray data, expanding analysis to many GRBs without afterglow observations, and models the distribution of jet breaks.
Contribution
It presents a new approach using the Ghirlanda relation inversion to estimate jet angles and energetics, increasing the sample size significantly compared to previous studies.
Findings
Derived jet opening angles match those from afterglow observations.
Estimated a large fraction of jet breaks are unobservable with current tools.
Provided parameterizations for jet angle, energetics, and break distributions.
Abstract
We present a method to estimate the jet opening angles of long duration Gamma-Ray Bursts (GRBs) using the prompt gamma-ray energetics and an inversion of the Ghirlanda relation, which is a correlation between the time-integrated peak energy of the GRB prompt spectrum and the collimation-corrected energy in gamma rays. The derived jet opening angles using this method and detailed assumptions match well with the corresponding inferred jet opening angles obtained when a break in the afterglow is observed. Furthermore, using a model of the predicted long GRB redshift probability distribution observable by the Fermi Gamma-ray Burst Monitor (GBM), we estimate the probability distributions for the jet opening angle and rest-frame energetics for a large sample of GBM GRBs for which the redshifts have not been observed. Previous studies have only used a handful of GRBs to estimate these…
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Taxonomy
TopicsGamma-ray bursts and supernovae
