FRB repetition and non-Poissonian statistics
Liam Connor, Ue-Li Pen, Niels Oppermann

TL;DR
This paper examines the statistical properties of fast radio bursts (FRBs), suggesting non-Poissonian repetition could influence detection strategies and interpretations of their spatial distribution, with implications for understanding their origins.
Contribution
It introduces a Bayesian framework for analyzing FRB statistics, explores the impact of non-Poissonian repetition on observed distributions, and reevaluates the significance of latitudinal dependence.
Findings
Non-Poissonian repetition can weaken current limits on FRB repeat rates.
The significance of the latitudinal gradient in FRB distribution is less than previously thought.
Survey strategy should favor shallow, wide-field observations due to non-repeating scenarios.
Abstract
We discuss some of the claims that have been made regarding the statistics of fast radio bursts (FRBs). In an earlier paper \citep{2015arXiv150505535C} we conjectured that flicker noise associated with FRB repetition could show up in non-cataclysmic neutron star emission models, like supergiant pulses. We show how the current limits of repetition would be significantly weakened if their repeat rate really were non-Poissonian and had a pink or red spectrum. Repetition and its statistics have implications for observing strategy, generally favouring shallow wide-field surveys, since in the non-repeating scenario survey depth is unimportant. We also discuss the statistics of the apparent latitudinal dependence of FRBs, and offer a simple method for calculating the significance of this effect. We provide a generalized Bayesian framework for addressing this problem, which allows for direct…
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.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
