Statistical modelling of the cosmological dispersion measure
Ryuichi Takahashi, Kunihito Ioka, Asuka Mori, Koki Funahashi

TL;DR
This paper models the statistical properties of the cosmological dispersion measure for fast radio bursts using advanced hydrodynamic simulations, providing analytical tools and predictions for future observational confirmation.
Contribution
It introduces a comprehensive analytical framework for DM statistics based on simulations, including fitting functions for free-electron distribution and bias, and constructs mock sky maps for validation.
Findings
Free-electron power spectrum matches dark matter at large scales
Analytical fitting functions accurately reproduce simulation results
Predicted angular correlation function of DM follows a power law
Abstract
We have investigated the basic statistics of the cosmological dispersion measure (DM) -- such as its mean, variance, probability distribution, angular power spectrum and correlation function -- using the state-of-the-art hydrodynamic simulations, IllustrisTNG300, for the fast radio burst (FRB) cosmology. To model the DM statistics, we first measured the free-electron abundance and the power spectrum of its spatial fluctuations. The free-electron power spectrum turns out to be consistent with the dark matter power spectrum at large scales, but it is strongly damped at small scales (Mpc) owing to the stellar and active galactic nucleus feedback. The free-electron power spectrum is well modelled using a scale-dependent bias factor (the ratio of its fluctuation amplitude to that of the dark matter). We provide analytical fitting functions for the free-electron abundance and its…
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