Multi-species Dark Matter with Warmth and Randomness
Mustafa A. Amin, M. Sten Delos, Kiaxin Yang
TL;DR
This work introduces a general analytic framework for the growth of cosmic structure in a multi-species dark matter sector that simultaneously accounts for finite velocity dispersion (warmth) and Poisson (shot-noise) fluctuations. Building on a truncated BBGKY hierarchy, the authors derive transfer-function formalism governed by Volterra integral equations to compute the total matter power spectrum and the full set of inter- and intra-species spectra for arbitrary numbers of components with distinct properties, under both adiabatic and isocurvature initial conditions. They present a fast numerical algorithm and public code, validate results against analytic estimates and N-body simulations, and illustrate the physics with two-component examples highlighting how warmth and discreteness imprint scale-dependent features through Jeans and free-streaming effects. The framework unifies descriptions of cold and warm, as well as discrete-population DM like primordial black holes or solitons, and provides a pathway to confront mixed-dark-matter scenarios with small-scale structure observations while clarifying the limits of the approach (subhorizon, non-relativistic, gravitational dynamics).
Abstract
We present a general analytic framework for the evolution of cosmic structure in multi-species dark matter models that simultaneously incorporates finite velocity dispersion and Poisson fluctuations. Our approach accommodates arbitrary numbers of dark matter components with distinct mass fractions, velocity distributions, and number densities -- ranging from cold particles to warm species and sparse populations such as primordial black holes or solitons. The framework is based on solving a truncated BBGKY hierarchy, whose solution is obtained by solving Volterra integral equations. We provide an efficient algorithm to solve for the total, as well as inter- and intra-species power spectra. Worked examples with two-component mixtures illustrate how isocurvature (initially Poisson) and adiabatic spectra evolve differently depending on the properties of the warm or sparse fraction. This evolution is controlled by the free-streaming and Jeans scales, and the results match analytic estimates and $N$-body simulations.
