Dynamics-based halo model for large scale structure
ORAL
Abstract
Accurate modelling 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, García [R. García et. al., MNRAS 521, 2464 (2023)] advocated for defining haloes 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 characterised by a single physical scale rh, 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 ≈ 2% level for r ∈ [0.1, 50] h−1 Mpc. The Fourier transform of our best fit model describes the halo–mass power spectrum with comparable accuracy for k ∈ [0.06, 6.0] h Mpc−1.
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Publication: https://arxiv.org/abs/2406.04054
Presenters
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Edgar M Salazar
University of Arizona
Authors
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Edgar M Salazar
University of Arizona
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Eduardo Rozo
University of Arizona
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Rafael García
University of Arizona
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Nickolas Kokron
Princeton University
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Benedikt Diemer
University of Maryland
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Calvin Osinga
University of Maryland
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Susmita Adhikari
Indian Institute of Science Education and Research