A Stochastic Theory of the Hierarchical Clustering I. Halo Mass Function
arXiv:2009.07023 · doi:10.3847/1538-4357/abb944
Abstract
We present a new theory for the hierarchical clustering of dark matter (DM) halos based on stochastic differential equations, that constitutes a change of perspective with respect to existing frameworks (e.g., the excursion set approach); this work is specifically focused on the halo mass function. First, we present a stochastic differential equation that describes fluctuations in the mass growth of DM halos, as driven by a multiplicative white (Gaussian) noise dependent on the spherical collapse threshold and on the power spectrum of DM perturbations. We demonstrate that such a noise yields an average drift of the halo population toward larger masses, that quantitatively renders the standard hierarchical clustering. Then, we solve the Fokker-Planck equation associated to the stochastic dynamics, and obtain the Press & Schechter mass function as a (stationary) solution. Moreover, generalizing our treatment to a mass-dependent collapse threshold, we obtain an exact analytic solution capable of fitting remarkably well the N-body mass function over a wide range in mass and redshift. All in all, the new perspective offered by the theory presented here can contribute to better understand the gravitational dynamics leading to the formation, evolution and statistics of DM halos across cosmic times.
12 pages, 3 figures. Accepted by ApJ
References in corpus (7)
- Dark matter and cosmic structure
- Generating Dark Matter Halo Merger Trees
- The Current Status of Galaxy Formation
- Merger Rates of Dark-Matter Haloes
- An improved model for the formation times of dark matter haloes
- The halo mass function of late-type galaxies from HI kinematics
- The halo mass function in alternative dark matter models
Cited by in corpus (6)
- Dark Matter in Fractional Gravity I: Astrophysical Tests on Galactic Scales
- Tomography-based observational measurements of the halo mass function via the submillimeter magnification bias
- A Stochastic Theory of the Hierarchical Clustering II. Halo progenitor mass function and large-scale bias
- Massive Black Hole Mergers
- A Stochastic Theory of the Hierarchical Clustering III. The Non-universality and Non-stationarity of the Halo Mass Function
- Distinguishing thermal histories of dark matter from structure formation