Exploring the GRB population: Robust afterglow modelling
M. D. Aksulu, R. A. M. J. Wijers, H. J. van Eerten, A. J. van der, Horst

TL;DR
This study uses Bayesian inference and hydrodynamic simulations to analyze GRB afterglow data, revealing similarities between short and long GRBs and insights into their environments and efficiencies.
Contribution
It introduces a robust Bayesian framework with Gaussian processes for afterglow modeling, comparing properties of short and long GRBs using 2D hydrodynamic simulations.
Findings
Short and long GRBs are statistically similar in energy and opening angle.
Short GRBs have lower prompt gamma-ray efficiency.
Anti-correlation between magnetic energy fraction and kinetic energy in long GRBs.
Abstract
Gamma-ray bursts (GRBs) are ultra-relativistic collimated outflows, which emit synchrotron radiation throughout the entire electromagnetic spectrum when they interact with their environment. This afterglow emission enables us to probe the dynamics of relativistic blast waves, the microphysics of shock acceleration, and environments of GRBs. We perform Bayesian inference on a sample of GRB afterglow data sets consisting of 22 long GRBs and 4 short GRBs, using the afterglow model "scalefit", which is based on 2D relativistic hydrodynamic simulations. We make use of Gaussian processes to account for systematic deviations in the data sets, which allows us to obtain robust estimates for the model parameters. We present the inferred parameters for the sample of GRBs, and make comparisons between short GRBs and long GRBs in constant-density and stellar-wind-like environments. We find that in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
