Pith. sign in

REVIEW

Comparison of the Parkes and FAST FRB DM Distribution

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2203.08816 v1 pith:FSDO4IRF submitted 2022-03-16 astro-ph.HE astro-ph.CO

Comparison of the Parkes and FAST FRB DM Distribution

classification astro-ph.HE astro-ph.CO
keywords distributionfastenergycompareeventsevolutionarymodelsparkes
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
Share X Bluesky LinkedIn Reddit HN
abstract

We model the Fast Radio Burst (FRB) dispersion measure (DM) distribution for the Five-hundred-meter Aperture Spherical Telescope (FAST) and compare this with the four FRBs published in the literature to date. We compare the DM distribution of Parkes and FAST, taking advantage of the similarity between their multibeam receivers. Notwithstanding the limited sample size, we observe a paucity of events at low DM for all evolutionary models considered, resulting in a sharp rise in the observed cumulative distribution function (CDF) in the region of $1000\lesssim\mathrm{DM}\lesssim2000$ pc cm$^{-3}$. These traits could be due to statistical fluctuations ($0.12 \le p \le 0.22$), a complicated energy distribution or break in an energy distribution power law, spatial clustering, observational bias or outliers in the sample (e.g., an excessive DM_${HOST}$ as recently found for FRB 20190520B). The energy distribution in this regime is unlikely to be adequately constrained until further events are detected. Modelling suggests that FAST may be well placed to discriminate between redshift evolutionary models and to probe the helium ionisation signal of the IGM.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.