Redshift estimates for fast radio bursts and implications on intergalactic magnetic fields

Author:

Hackstein S1,Brüggen M1ORCID,Vazza F123ORCID,Rodrigues L F S4ORCID

Affiliation:

1. Hamburger Sternwarte, University of Hamburg, Gojenbergsweg 112, D-21029 Hamburg, Germany

2. Department of Physics and Astronomy, University of Bologna, Via Gobetti 93/2, I-40129 Bologna, Italy

3. Istituto di Radioastronomia, INAF, Via Gobetti 101, I-40129 Bologna, Italy

4. Department of Astrophysics/IMAPP, Radboud University, Postbus 9010, NL-6500 GL Nijmegen, the Netherlands

Abstract

ABSTRACT Fast radio bursts are transient radio pulses from presumably compact stellar sources of extragalactic origin. With new telescopes detecting multiple events per day, statistical methods are required in order to interpret observations and make inferences regarding astrophysical and cosmological questions. We present a method that uses probability estimates of fast radio burst observables to obtain likelihood estimates for the underlying models. Considering models for all regions along the line of sight, including intervening galaxies, we perform Monte Carlo simulations to estimate the distribution of the dispersion measure (DM), rotation measure (RM), and temporal broadening. Using Bayesian statistics, we compare these predictions to observations of fast radio bursts. By applying Bayes theorem, we obtain lower limits on the redshift of fast radio bursts with extragalactic DM ≳ 400 pc cm−3. We find that intervening galaxies cannot account for all highly scattered fast radio bursts in FRBcat, thus requiring a denser and more turbulent environment than an SGR 1935+2154-like magnetar. We show that a sample of ≳103 unlocalized fast radio bursts with associated extragalactic RM ≥ 1 rad m−2 can improve current upper limits on the strength of intergalactic magnetic fields.

Funder

Deutsche Forschungsgemeinschaft

H2020 European Research Council

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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