On the true fractions of repeating and non-repeating FRB sources
Shunke Ai, He Gao, Bing Zhang

TL;DR
This study uses Monte Carlo simulations to explore the true fractions of repeating and non-repeating FRB sources, suggesting most FRBs may be repeaters and predicting how observed repeater fractions evolve over time.
Contribution
It introduces a model to estimate the intrinsic repeater fraction among FRBs and predicts observational signatures to distinguish between all sources repeating or not.
Findings
The observed repeater fraction initially increases, peaks, then declines over time.
Current data suggests a lower limit of 0.1 days for the lifetime of repeaters.
Future observations may find a peak repeater fraction below 0.04, challenging the all-repeater hypothesis.
Abstract
Observationally, fast radio bursts (FRBs) can be divided into repeating and apparently non-repeating (one-off) ones. It is unclear whether all FRBs repeat and whether there are genuine non-repeating FRBs. We attempt to address these questions using Monte Carlo simulations. We define a parameter at which the accumulated number of non-repeating sources becomes comparable to the total number of the repeating sources, which is a good proxy to denote the intrinsic repeater fraction among FRBs. Assuming that both types of sources exist and that their burst energies follow power law distributions, we investigate how the {\em observed} repeater fraction evolves with time for different parameters. If the lifetime of repeaters is sufficiently long so that the evolutionary effect can be neglected within the observational time span, unless (i.e. there is no genuine…
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.
