Model-independent constraints expose kinetic-luminosity and induced-Compton optical-depth bottlenecks that rule out or severely limit external-shock and light-cylinder reconnection FRB models while favoring magnetospheric scenarios with in-situ acceleration.
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5 Pith papers cite this work. Polarity classification is still indexing.
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Analysis of CHIME/FRB Catalog 2 with synthetic injections and a multidimensional selection function yields evidence for a slight downturn in the intrinsic scattering timescale distribution, though flat or rising distributions remain possible.
PATH is extended with three fitted P(m_r|z) prior models combined with P(z|DM), raising host-association confidence for ASKAP FRBs while showing fainter-than-expected host magnitude distribution.
Frabjous applies deep learning to classify FRB morphologies into five classes at 55% accuracy by augmenting limited real data with simulations.
A reported periodic fast radio burst is reclassified as Galactic pulsar emission due to CHIME calibration and beam-pointing error.
citing papers explorer
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The kinetic-energy bottleneck in Fast Radio Burst models
Model-independent constraints expose kinetic-luminosity and induced-Compton optical-depth bottlenecks that rule out or severely limit external-shock and light-cylinder reconnection FRB models while favoring magnetospheric scenarios with in-situ acceleration.
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Debiasing the Observed Fast Radio Burst Population with the CHIME/FRB Selection Function
Analysis of CHIME/FRB Catalog 2 with synthetic injections and a multidimensional selection function yields evidence for a slight downturn in the intrinsic scattering timescale distribution, though flat or rising distributions remain possible.
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Updating the PATH framework with FRB host galaxy models
PATH is extended with three fitted P(m_r|z) prior models combined with P(z|DM), raising host-association confidence for ASKAP FRBs while showing fainter-than-expected host magnitude distribution.
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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.
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A series of unfortunate events: CHIME/FRB misclassification of a Galactic pulsar as a periodic fast radio burst
A reported periodic fast radio burst is reclassified as Galactic pulsar emission due to CHIME calibration and beam-pointing error.