A 4200-hour campaign on FRB 20240114A finds that the highest-energy bursts account for most of the observed radio energy release, with a break in the energy distribution at ~2×10^40 erg and a linear DM rise of +0.96 pc cm^{-3} over 318 days.
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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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A 4200-hour HyperFlash and \'ECLAT campaign on the hyperactive FRB 20240114A: constraining energetics with the most brilliant bursts
A 4200-hour campaign on FRB 20240114A finds that the highest-energy bursts account for most of the observed radio energy release, with a break in the energy distribution at ~2×10^40 erg and a linear DM rise of +0.96 pc cm^{-3} over 318 days.
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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.