Fast radio burst dispersion measures exhibit scaling consistent with two-dimensional Kolmogorov turbulence in the intergalactic medium, constraining the outer scale to several megaparsecs.
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6 Pith papers cite this work, alongside 519 external citations. Polarity classification is still indexing.
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UNVERDICTED 6representative citing papers
Repeating FRBs show Gaussian-distributed intrinsic PAs with no periodicity, explained by stochastic magnetospheric axis wandering in an extended rotating vector model.
A search of repeating FRBs identifies RM flare candidates in FRB 20121102A, FRB 20201124A, and FRB 20180916B, suggesting such events may be common and tied to dynamic magneto-ionic environments.
CHIME/FRB Catalog data favor a mixture of delayed progenitor channels for apparently nonrepeating FRBs with effective mean delay 1.426 Gyr over pure star-formation-rate tracing.
Frabjous applies deep learning to classify FRB morphologies into five classes at 55% accuracy by augmenting limited real data with simulations.
This review summarizes FRB properties and outlines how SKA capabilities will help identify progenitors and enable cosmological applications.
citing papers explorer
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Utilizing Dispersion Measure of Fast Radio Bursts to Probe the Intergalactic Medium Turbulence
Fast radio burst dispersion measures exhibit scaling consistent with two-dimensional Kolmogorov turbulence in the intergalactic medium, constraining the outer scale to several megaparsecs.
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Random Polarization Position Angle Behaviors across Bursts of Repeating Fast Radio Bursts
Repeating FRBs show Gaussian-distributed intrinsic PAs with no periodicity, explained by stochastic magnetospheric axis wandering in an extended rotating vector model.
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A Search for Rotation Measure Flare Candidates in Repeating Fast Radio Bursts
A search of repeating FRBs identifies RM flare candidates in FRB 20121102A, FRB 20201124A, and FRB 20180916B, suggesting such events may be common and tied to dynamic magneto-ionic environments.
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A Delayed Multi-channel Progenitor for Apparently Nonrepeating Fast Radio Bursts
CHIME/FRB Catalog data favor a mixture of delayed progenitor channels for apparently nonrepeating FRBs with effective mean delay 1.426 Gyr over pure star-formation-rate tracing.
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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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The Astrophysics of Fast Radio Bursts
This review summarizes FRB properties and outlines how SKA capabilities will help identify progenitors and enable cosmological applications.