FRB 20250316A is confirmed as a pronounced outlier whose peak flux and fluence imply return periods of roughly 30-800 years and 8-55 years respectively under GEV modeling of the CHIME catalog.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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Frabjous applies deep learning to classify FRB morphologies into five classes at 55% accuracy by augmenting limited real data with simulations.
citing papers explorer
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Extreme-Value Distribution Analysis of the Second CHIME/FRB Catalog: Assessing the Rarity of the One-off FRB 20250316A
FRB 20250316A is confirmed as a pronounced outlier whose peak flux and fluence imply return periods of roughly 30-800 years and 8-55 years respectively under GEV modeling of the CHIME catalog.
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Frabjous: Deep Learning Fast Radio Burst Morphologies
Frabjous applies deep learning to classify FRB morphologies into five classes at 55% accuracy by augmenting limited real data with simulations.