Dynamics-based halo model for large scale structure

Accurate modeling of the one-to-two halo transition has long been difficult to achieve. We demonstrate that physically motivated halo definitions that respect the bimodal phase-space distribution of dark matter particles near halos resolves this difficulty. Specifically, the two phase-space components are overlapping and correspond to (1) particles orbiting the halo and (2) particles infalling into the halo for the first time. Motivated by this decomposition, Garc\'{\i}a et al. [Mon. Not. R. Astron. Soc. 521, 2464 (2023)] advocated for defining halos as the collection of particles orbiting their self-generated potential. This definition identifies the traditional one-halo term of the halo-mass correlation function with the distribution of orbiting particles around a halo, while the two-halo term governs the distribution of infalling particles. We use dark matter simulations to demonstrate that the distribution of orbiting particles is finite and can be characterized by a single physical scale ${r}_{\mathrm{h}}$, which we refer to as the halo radius. The two-halo term is described using a simple yet accurate empirical model based on the Zel'dovich correlation function. We further demonstrate that the halo radius imprints itself on the distribution of infalling particles at small scales. Our final model for the halo-mass correlation function is accurate at the $\ensuremath{\approx}2%$ level for $r\ensuremath{\in}[0.1,50]\text{ }\text{ }{h}^{\ensuremath{-}1}\text{ }\mathrm{Mpc}$. The Fourier transform of our best-fit model describes the halo-mass power spectrum with comparable accuracy for $k\ensuremath{\in}[0.06,6.0]\text{ }\text{ }h\text{ }{\mathrm{Mpc}}^{\ensuremath{-}1}$.

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Publication Details

Journal
Physical review. D/Physical review. D.
Published
2025-02-12
DOI
https://doi.org/10.1103/physrevd.111.043527
Citations
4
Primary Topic
Scientific Research and Discoveries
Type
article
Field-Weighted Citation Impact
5.29

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article

Dynamics-based halo model for large scale structure

Eduardo Rozo, Rafael García, Calvin Osinga, Benedikt Diemer et al.
4 citations
Physical review. D/Physical review. D.
Scientific Research and Discoveries
5.29
article

Dynamics-based halo model for large scale structure

Eduardo Rozo, Rafael García, Calvin Osinga, Benedikt Diemer, Susmita Adhikari, Nickolas Kokron, Edgar Salazar
article en
4 citations

Abstract

Accurate modeling of the one-to-two halo transition has long been difficult to achieve. We demonstrate that physically motivated halo definitions that respect the bimodal phase-space distribution of dark matter particles near halos resolves this difficulty. Specifically, the two phase-space components are overlapping and correspond to (1) particles orbiting the halo and (2) particles infalling into the halo for the first time. Motivated by this decomposition, Garc\'{\i}a et al. [Mon. Not. R. Astron. Soc. 521, 2464 (2023)] advocated for defining halos as the collection of particles orbiting their self-generated potential. This definition identifies the traditional one-halo term of the halo-mass correlation function with the distribution of orbiting particles around a halo, while the two-halo term governs the distribution of infalling particles. We use dark matter simulations to demonstrate that the distribution of orbiting particles is finite and can be characterized by a single physical scale ${r}_{\mathrm{h}}$, which we refer to as the halo radius. The two-halo term is described using a simple yet accurate empirical model based on the Zel'dovich correlation function. We further demonstrate that the halo radius imprints itself on the distribution of infalling particles at small scales. Our final model for the halo-mass correlation function is accurate at the $\ensuremath{\approx}2%$ level for $r\ensuremath{\in}[0.1,50]\text{ }\text{ }{h}^{\ensuremath{-}1}\text{ }\mathrm{Mpc}$. The Fourier transform of our best-fit model describes the halo-mass power spectrum with comparable accuracy for $k\ensuremath{\in}[0.06,6.0]\text{ }\text{ }h\text{ }{\mathrm{Mpc}}^{\ensuremath{-}1}$.

Physical review. D/Physical review. D.Vol. 111(4)
University of Arizona (US), Princeton University (US), University of Maryland, College Park (US)
National Science Foundation, U.S. Department of Energy
Climate action
Openalex Percentile: Top 5%
Scientific Research and Discoveries
5.29
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