Semi-analytical frameworks for subhaloes from the smallest to the largest scale

Author:

Hiroshima Nagisa12ORCID,Ando Shin’ichiro34,Ishiyama Tomoaki5ORCID

Affiliation:

1. Department of Physics, University of Toyama , 3190 Gofuku, Toyama 930-8555, Japan

2. RIKEN iTHEMS , Wako, Saitama 351-0198, Japan

3. GRAPPA Institute, University of Amsterdam , 1098 XH Amsterdam, the Netherlands

4. Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo , Kashiwa 277-8583, Japan

5. Institute of Management and Information Technologies, Chiba University , Chiba 263-8522, Japan

Abstract

ABSTRACT Substructures of dark matter halo, called subhaloes, provide important clues to understand the nature of dark matter. We construct a useful model to describe the properties of subhalo mass functions based on the well-known analytical prescriptions, the extended Press–Schechter theory. The unevolved subhalo mass functions at arbitrary mass scales become describable without introducing free parameters. The different host halo evolution histories are directly recast to their subhalo mass functions. As applications, we quantify the effects from (i) the Poisson fluctuation, (ii) the host-mass scatter, and the (iii) different tidal evolution models on observables in the current Universe with this scheme. The Poisson fluctuation dominates in the number count of the mass ratio to the host of $\sim {\cal O}(10^{-2})$, where the intrinsic scatter is smaller by a factor of a few. The host-mass scatter around its mean does not affect the subhalo mass function. Different models of the tidal evolution predict a factor of ∼2 difference in numbers of subhaloes with $\lesssim {\cal O}(10^{-5})$, while the dependence of the Poisson fluctuation on the tidal evolution models is subtle. The scheme provides a new tool for investigating the smallest scale structures of our Universe which are to be observed in near future experiments.

Funder

JSPS

MEXT

KAKENHI

JICFuS

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Searching for dark matter subhalos in the Fermi-LAT catalog with Bayesian neural networks;Journal of Cosmology and Astroparticle Physics;2023-07-01

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