The Slope of the Source-Count Distribution for Fast Radio Bursts
C. W. James, R. D. Ekers, J.-P. Macquart, K. W. Bannister, R. M., Shannon

TL;DR
This paper estimates the slope of the FRB source-count distribution using advanced maximum-likelihood methods, revealing potential deviations from a simple power law and implications for FRB progenitor evolution.
Contribution
It introduces an improved maximum-likelihood approach that accounts for detection thresholds, providing new estimates of the FRB source-count slope from multiple surveys.
Findings
Estimated slope for Parkes FRBs: -1.18 ± 0.24
Estimated slope for ASKAP FRBs: -2.2 ± 0.47
Evidence suggests deviations from a pure power law in FRB distribution
Abstract
The slope of the source-count distribution of fast radio burst (FRB) fluences, , has been estimated using a variety of methods. Hampering all attempts have been the low number of detected FRBs, and the difficulty of defining a completeness threshold for FRB surveys. In this work, we extend maximum-likelihood methods for estimating , using detected and threshold signal-to-noise ratios applied to all FRBs in a sample without regard to a completeness threshold. Using this method with FRBs detected by the Parkes radio telescope, we find (68\% confidence interval, C.I.), i.e.\ consistent with a non-evolving Euclidean distribution (). Applying these methods to the Australian Square Kilometre Array Pathfinder (ASKAP) Commensal Real-time ASKAP Fast Transients (CRAFT) FRB survey finds (68\% C.I.). A full…
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