Abstract

Abstract We present a catalog of 536 fast radio bursts (FRBs) detected by the Canadian Hydrogen Intensity Mapping Experiment Fast Radio Burst (CHIME/FRB) Project between 400 and 800 MHz from 2018 July 25 to 2019 July 1, including 62 bursts from 18 previously reported repeating sources. The catalog represents the first large sample, including bursts from repeaters and nonrepeaters, observed in a single survey with uniform selection effects. This facilitates comparative and absolute studies of the FRB population. We show that repeaters and apparent nonrepeaters have sky locations and dispersion measures (DMs) that are consistent with being drawn from the same distribution. However, bursts from repeating sources differ from apparent nonrepeaters in intrinsic temporal width and spectral bandwidth. Through injection of simulated events into our detection pipeline, we perform an absolute calibration of selection effects to account for systematic biases. We find evidence for a population of FRBs—composing a large fraction of the overall population—with a scattering time at 600 MHz in excess of 10 ms, of which only a small fraction are observed by CHIME/FRB. We infer a power-law index for the cumulative fluence distribution of α = − 1.40 ± 0.11 ( stat. ) − 0.09 + 0.06 ( sys. ) , consistent with the −3/2 expectation for a nonevolving population in Euclidean space. We find that α is steeper for high-DM events and shallower for low-DM events, which is what would be expected when DM is correlated with distance. We infer a sky rate of [ 820 ± 60 ( stat. ) − 200 + 220 ( sys. ) ] / sky / day above a fluence of 5 Jy ms at 600 MHz, with a scattering time at 600 MHz under 10 ms and DM above 100 pc cm−3.

Highlights

  • The first Fast Radio Burst (FRB) was discovered nearly a decade and a half ago (Lorimer et al 2007), the nature of these sources remains a mystery

  • While this uncertainty treatment is most appropriate for pulsar-like spectra, we note that the true positions of the two localized repeaters, both emitting band-limited and morphologically complex bursts, are contained in the uncertainty regions of their respective Canadian Hydrogen Intensity Mapping Experiment (CHIME)/FRB signal-to-noise ratio (SNR)-based localizations

  • We draw 5 × 106 FRBs and randomly assign them to the surviving sky locations. The properties of these FRBs are drawn from initial probability density functions Pinit(F ), Pinit(DM), Pinit(τ ), Pinit(w), and Pinit(γ, r) designed to both fully sample the range of observed properties and more densely sample parts of phase space populated by the catalog

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Summary

INTRODUCTION

The first Fast Radio Burst (FRB) was discovered nearly a decade and a half ago (Lorimer et al 2007), the nature of these sources remains a mystery. One Galactic magnetar has shown both repeated X-ray bursts and a radio burst of luminosity close to the FRB range (CHIME/FRB Collaboration et al 2020b; Bochenek et al 2020). This suggests that repeaters may be young, active magnetars, a scenario consistent with localizations of repeating FRBs to star-forming locations (Chatterjee et al 2017; Marcote et al 2020). A detailed study of large numbers of FRBs, in a single homogeneous survey with a well-measured instrument selection function, is desirable for many additional reasons.

OBSERVATIONS
Beam model
Sky exposure
Sensitivity threshold
Notes on the burst flux
Event naming: transient name server
Event localization
Event morphologies
Event signal strength
SYNTHETIC SIGNAL INJECTION
Signal generation
Injections population
Injection and detection
COMPARISON OF REPEATERS VERSUS APPARENT NON-REPEATERS
Sky distribution comparisons
DM comparisons
Signal strength comparisons
Burst temporal width and bandwidth distribution comparisons
Summary of repeater vs apparent non-repeater comparisons
INTRINSIC CHARACTERISTICS OF THE FRB POPULATION
Selection bias-corrected FRB property distributions
Fluence distribution and sky rate
DISCUSSION
Are repeaters a different FRB population?
Accounting for selection biases
Fluence distribution
FRB rate
CONCLUSIONS
TRANSIENT NAME SERVER NAMES FOR FAST RADIO BURSTS
QUALITY OF LEAST-SQUARES FITS TO BURST MORPHOLOGY MODELS
FITTING FOR A FIDUCIAL POPULATION MODEL
Property distribution models and overview of fitting procedure
Modeling observed population with injections
Jackknife tests
Findings
SYSTEMATIC ERRORS IN THE RATE AND α MEASUREMENT
CATALOG EXCERPT
Full Text
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