Truthing the stretch: Non-perturbative cosmological realizations with multiscale spherical collapse

Abstract

Here we present a simple, parameter-free, non-perturbative algorithm that gives low-redshift cosmological particle realizations accurate to few-Megaparsec scales, called MUSCLE (MUltiscale Spherical ColLapse Evolution). It has virtually the same cost as producing N-body-simulation initial conditions, since it works with the 'stretch' parameter ψ, the Lagrangian divergence of the displacement field. It promises to be useful in quickly producing mock catalogs, and to simplify computationally intensive reconstructions of galaxy surveys. MUSCLE applies a spherical-collapse prescription on multiple Gaussian-smoothed scales. It achieves higher accuracy than perturbative schemes (Zel'dovich and 2LPT), and, by including the void-in-cloud process (voids in large-scale collapsing regions), solves problems with a single-scale spherical-collapse scheme. Slight further improvement is possible by mixing in the 2LPT estimate on large scales. Additionally, we show the behavior of ψ for different morphologies (voids, walls, filaments, and haloes). A Python code to produce these realizations is available at http://skysrv.pha.jhu.edu/~neyrinck/muscle.html.

Minor changes; now matches version accepted to MNRAS Letters. Python code available at http://skysrv.pha.jhu.edu/~neyrinck/muscle.html

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