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arxiv: 2311.00111 · v2 · pith:JHZBF2PFnew · submitted 2023-10-31 · 🌌 astro-ph.HE

Updating the first CHIME/FRB catalog of fast radio bursts with baseband data

classification 🌌 astro-ph.HE
keywords burstschimedatabasebandcatalogfrbsradiotelescope
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In 2021, a catalog of 536 fast radio bursts (FRBs) detected with the Canadian Hydrogen Intensity Mapping Experiment (CHIME) radio telescope was released by the CHIME/FRB Collaboration. This large collection of bursts, observed with a single instrument and uniform selection effects, has advanced our understanding of the FRB population. Here we update the results for 140 of these FRBs for which channelized raw voltage ('baseband') data are available. With the voltages measured by the telescope's antennas, it is possible to maximize the telescope sensitivity in any direction within the primary beam, an operation called 'beamforming'. This allows us to increase the signal-to-noise ratio (S/N) of the bursts and to localize them to sub-arcminute precision. The improved localization is also used to correct the beam response of the instrument and to measure fluxes and fluences with a ~10% uncertainty. Additionally, the time resolution is increased by three orders of magnitude relative to that in the first CHIME/FRB catalog, and, applying coherent dedispersion, burst morphologies can be studied in detail. Polarization information is also available for the full sample of 140 FRBs, providing an unprecedented dataset to study the polarization properties of the population. We release the baseband data beamformed to the most probable position of each FRB. These data are analyzed in detail in a series of accompanying papers.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Searching for Gamma Ray Bursts associated with CHIME Fast Radio bursts

    astro-ph.HE 2026-04 unverdicted novelty 5.0

    No statistically significant excess of associations is found between CHIME FRBs and Swift GRBs after spatial, redshift, and temporal filtering, consistent with random coincidences.