Halo mass functions from maximum entropy distributions in collisionless dark matter flow
Zhijie Xu

TL;DR
This paper develops a maximum entropy framework for deriving halo mass functions in collisionless dark matter flow, connecting velocity distributions with halo properties and recovering known mass functions like Press-Schechter.
Contribution
It introduces a novel maximum entropy approach to model halo mass functions directly from dark matter flow dynamics, moving beyond simplified collapse models.
Findings
Large halo distribution is a maximum entropy distribution.
Small halo distribution approximates the Press-Schechter mass function.
The full halo mass function depends on velocity distribution and halo velocity dispersion.
Abstract
The halo-mediated inverse mass cascade is a key feature of the intermediate statistically steady state for self-gravitating collisionless dark matter flow (SG-CFD). A broad spectrum of halos and halo groups are necessary to form from inverse mass cascade for long-range interaction system to maximize its entropy. The limiting velocity (), speed (), and energy () distributions of collisionless particles can be obtained analytically from a maximum entropy principle. Halo mass function, the distribution of total mass in halos, is a fundamental quantity for structure formation and evolution. Instead of basing mass functions on simplified spherical/elliptical collapse models, it is possible to reformulate mass function as an intrinsic distribution to maximize system entropy during the everlasting statistically steady state. Starting from halo-based description…
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Taxonomy
TopicsCosmology and Gravitation Theories · Advanced Thermodynamics and Statistical Mechanics · Galaxies: Formation, Evolution, Phenomena
