Spherical collapse, formation hysteresis and the deeply non-linear cosmological power spectrum

TL;DR

This paper investigates how differences in growth history affect non-linear structure formation in cosmological models with identical present-day power spectra, emphasizing the importance of formation hysteresis in spherical collapse for accurate power spectrum predictions.

Contribution

It demonstrates that incorporating formation hysteresis in spherical-collapse models improves the halo model's accuracy in predicting non-linear power spectra across dark energy models.

Findings

Halo model with formation hysteresis matches N-body simulations.

Spherical collapse parameters are provided for various dark energy models.

Power spectrum predictions can reach percent-level accuracy for k ≤ 5 h/Mpc.

Abstract

I examine differences in non-linear structure formation between cosmological models that share a $z=0$ linear power spectrum in both shape and amplitude, but that differ via their growth history. $N$-body simulations of these models display an approximately identical large-scale-structure skeleton, but reveal deeply non-linear differences in the demographics and properties of haloes. I investigate to what extent the spherical-collapse model can help in understanding these differences, in both real and redshift space. I discuss how this is difficult to do if one attempts to identify haloes directly, because in that case one is subject to the vagaries of halo finding algorithms. However, I demonstrate that the halo model of structure formation provides an accurate non-linear response in the power spectrum, but only if results from spherical collapse that include formation hysteresis are properly incorporated. I comment on how this fact can be used to provide per cent level accurate matter power spectrum predictions for dark energy models for $k\leq5\,h\mathrm{Mpc}^{-1}$ by using the halo model as a correction to accurate $\Lambda$CDM simulations. In the appendix I provide some fitting functions for the linear-collapse threshold ($\delta_\mathrm{c}$) and virialized overdensity ($\Delta_\mathrm{v}$) that are valid for a wide range of dark energy models. I also make my spherical-collapse code available at https://github.com/alexander-mead/collapse