Dynamics-based halo model for large scale structure
Edgar M. Salazar, Eduardo Rozo, Rafael Garc\'ia, Nickolas Kokron,, Susmita Adhikari, Benedikt Diemer, Calvin Osinga

TL;DR
This paper introduces a physically motivated halo model based on phase-space decomposition, accurately describing large-scale structure by distinguishing orbiting and infalling dark matter particles, achieving high precision in correlation functions.
Contribution
The paper proposes a new halo definition based on phase-space components, improving the modeling of the halo--mass correlation function and power spectrum with high accuracy.
Findings
The distribution of orbiting particles is finite and characterized by a single scale, the halo radius.
The two-halo term can be modeled empirically using the Zel'dovich correlation function.
The model achieves approximately 2% accuracy in correlation functions and comparable accuracy in the power spectrum.
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 \it orbiting \rm the halo; and 2) particles \it infalling \rm into the halo for the first time. Motivated by this decomposition, Garc\'ia [R. Garc\'ia 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…
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Taxonomy
TopicsGeological Modeling and Analysis
