From Rare Events to a Population: Discovering Overlooked Extragalactic Magnetar Giant Flare Candidates in Archival Fermi Gamma-ray Burst Monitor Data
Aaron C. Trigg, Eric Burns, Michela Negro, Suman Bala, P.N. Bhat, William H. Cleveland, Dmitry D. Frederiks, Adam Goldstein, Boyan A. Hristov, Daniel Kocevski, Niccol\`o Di Lalla, Stephen Lesage, Bagrat Mailyan, Eliza Neights, Nicola Omodei, Oliver J. Roberts, Lorenzo Scotton

TL;DR
This paper develops a new method to identify and analyze extragalactic magnetar giant flares in Fermi GBM data, expanding the known sample and providing insights into their rates and recurrence.
Contribution
It introduces an improved detection approach that uncovers four new MGFs in archival data, increasing the sample size and enabling better population modeling.
Findings
Expanded the MGF sample to 13 events.
Estimated a volumetric rate of $5.5^{+4.5}_{-2.7} imes 10^5$ Gpc$^{-3}$ yr$^{-1}$.
Confirmed that magnetars produce multiple flares over their lifetimes.
Abstract
Magnetar giant flares (MGFs) are rare, extremely bright bursts of gamma-rays from highly magnetized neutron stars. These events are challenging to identify because, at extragalactic distances, they can appear similar to other astrophysical phenomena. Only a handful have been confidently identified to date, limiting our understanding of their origin and physical properties. This study focuses on expanding the sample of known events and enabling a more detailed characterization of their observational features and intrinsic properties, while introducing significant improvements in the methods used to identify and analyze them. When applied to archival data from the Gamma-ray Burst Monitor (GBM) on the \Fermi Gamma-ray Space Telescope, this approach added four previously unidentified events the known sample, expanding the total to 13 MGFs. This demonstrates both the effectiveness of the…
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