GRB Progenitor Classification from Gamma-Ray Burst Prompt and Afterglow Observations
Year: 2024
Type: article
Abstract: Using an established classification technique, we leverage standard observations and analyses to predict the progenitors of gamma-ray bursts (GRBs). This technique, utilizing support vector machine statistics, provides a more nuanced prediction than the previous two-component Gaussian mixture in duration of the prompt gamma-ray emission. Based on further covariance testing from Fermi/Gamma Ray Burst Monitor, Swift/Burst Alert Telescope, and Swift/X-Ray Telescope data, we find that our classification based only on prompt emission properties gives perspective on the recent evidence that mergers and collapsars exist in both “long” and “short” GRB populations.
Source: The Astrophysical Journal
Authors: P. Nuessle, J. L. Racusin, N. E. White
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $4,499
Funder: University of Leicester
OpenAlex ID: W4403214602