Generalized Distributions of Host Dispersion Measures in the Fast Radio Burst Cosmology

Abstract

Fast radio bursts (FRBs) can provide a measure of the Hubble constant H0 that is independent of the constraints set by the cosmic microwave background (CMB) and the type Ia supernovae (SNIa), thereby arbitrating the Hubble tension. In the literature, the methodology proposed by Macquart et al. has been widely used, in which the contributions to the dispersion measure (DM) from the intergalactic medium (IGM, DMIGM) and the host galaxy ( DMhost) are described by probability distribution functions. Within the Macquart et al. methodology, it has been found that the parameter F, which quantifies the strength of the baryon feedback in galaxies, must be bound by an artificially narrow prior to result in a Hubble constant H0 that is consistent with the ones derived from the CMB and SNIa studies. A recent study using O(100) localized FRBs found that this also causes the fraction of baryon mass in the IGM, f IGM, to approach its upper bound of 1. In the present work, using 125 localized FRBs, we find an unusually low H0 when using a model with a loose prior on F. This model is in fact strongly preferred to the model with the narrow prior when considering the Bayesian evidence and the Akaike and Bayesian information criteria. Instead of modifying σ=Fz-0.5 in the distribution of DMIGM, we explore an alternative method of resolving the tension by generalizing the distribution of DMhost with varying location and scale parameters and eμ, respectively. We find that H0 can be well consistent with the ones of Planck 2018 and SH0ES for all the models considered in this work, while these generalized models are all strongly preferred to the model with a narrow prior on F. Our findings indicate that more realistic distributions of DMhost could be the key to using FRBs as an independent measure of H0.

0

Turn this paper into a full lesson

ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.

Discussion (0)

Sign in to join the discussion.

Loading comments…