Inferring the Energy and Distance Distributions of Fast Radio Bursts using the First CHIME/FRB Catalog
Kaitlyn Shin, Kiyoshi W. Masui, Mohit Bhardwaj, Tomas Cassanelli,, Pragya Chawla, Matt Dobbs, Fengqiu Adam Dong, Emmanuel Fonseca, B. M., Gaensler, Antonio Herrera-Mart\'in, Jane Kaczmarek, Victoria Kaspi, Calvin, Leung, Marcus Merryfield, Daniele Michilli, Moritz M\"unchmeyer

TL;DR
This study analyzes the energy and distance distributions of fast radio bursts using the first CHIME/FRB catalog, accounting for observational biases to infer population characteristics and progenitor implications.
Contribution
It introduces a population model for FRBs based on the CHIME/FRB data, estimating energy cutoff, rate, and host dispersion measure, and constrains progenitor models.
Findings
Estimated energy cutoff of $2.38 imes 10^{41}$ erg.
Inferred volumetric rate of $7.3 imes 10^4$ Gpc$^{-3}$ yr$^{-1}$.
Median host dispersion measure of 84 pc cm$^{-3}$.
Abstract
Fast radio bursts (FRBs) are brief, energetic, extragalactic flashes of radio emission whose progenitors are largely unknown. Although studying the FRB population is essential for understanding how these astrophysical phenomena occur, such studies have been difficult to conduct without large numbers of FRBs and characterizable observational biases. Using the recently released catalog of 536 FRBs published by the Canadian Hydrogen Intensity Mapping Experiment/Fast Radio Burst (CHIME/FRB) collaboration, we present a study of the FRB population that also calibrates for selection effects. Assuming a Schechter luminosity function, we infer a characteristic energy cut-off of erg and a differential power-law index of . Simultaneously, we infer a volumetric rate of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPulsars and Gravitational Waves Research · Gamma-ray bursts and supernovae · Statistical and numerical algorithms
