Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published May 1, 2016 | Published + Submitted
Journal Article Open

Are the distributions of fast radio burst properties consistent with a cosmological population?

Abstract

High time resolution radio surveys over the last few years have discovered a population of millisecond-duration transient bursts called fast radio bursts (FRBs), which remain of unknown origin. FRBs exhibit dispersion consistent with propagation through a cold plasma and dispersion measures indicative of an origin at cosmological distances. In this paper, we perform Monte Carlo simulations of a cosmological population of FRBs, based on assumptions consistent with observations of their energy distribution, their spatial density as a function of redshift and the properties of the interstellar and intergalactic media. We examine whether the dispersion measures, fluences, derived redshifts, signal-to-noise ratios and effective widths of known FRBs are consistent with a cosmological population. Statistical analyses indicate that at least 50 events at Parkes are required to distinguish between a constant comoving FRB density, and an FRB density that evolves with redshift like the cosmological star formation rate density.

Additional Information

© 2016 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. Accepted 2016 January 19. Received 2016 January 3; in original form 2015 September 7. The authors gratefully acknowledge valuable discussions with E. Petroff, J.P. Macquart and Alan R. Duffy. This work used the gSTAR national facility which is funded by Swinburne and the Australian Governments Education Investment Fund. Parts of this research were conducted by the Australian Research Council Centre for All-Sky Astrophysics (CAASTRO), through project number CE110001020.

Attached Files

Published - stw175.pdf

Submitted - 1512.02738.pdf

Files

stw175.pdf
Files (2.2 MB)
Name Size Download all
md5:9afd7593bcfcd5bc05e35e86348a7f30
1.0 MB Preview Download
md5:7ea32193821b09e171907fa5051d8d5c
1.2 MB Preview Download

Additional details

Created:
August 20, 2023
Modified:
October 20, 2023