An Application of Wiener Hermite Expansion to Non-linear Evolution of Dark Matter
Naonori S. Sugiyama, Toshifumi Futamase

TL;DR
This paper introduces a Wiener Hermite expansion-based method to approximate the non-linear evolution of dark matter's matter power spectrum, achieving high accuracy with reduced computational effort.
Contribution
It develops a new approximation for the matter power spectrum using Wiener Hermite expansion, bridging low- and high-k regimes with high accuracy and computational efficiency.
Findings
Achieves better than 2% accuracy compared to N-body simulations.
Validates the method against 2-loop Standard Perturbation Theory results.
Computationally efficient with only single and double integrals involved.
Abstract
We apply the Wiener Hermite (WH) expansion to the non-linear evolution of Large-Scale Structure, and obtain an approximate expression for the matter power spectrum in full order of the expansion. This method allows us to expand any random function in terms of an orthonormal bases in space of random functions in such a way that the first order of the expansion expresses the Gaussian distribution, and others are the deviation from the Gaussianity. It is proved that the Wiener Hermite expansion is mathematically equivalent with the -expansion approach in the Renormalized Perturbation Theory (RPT). While an exponential behavior in the high- limit has been proved for the mass density and velocity fluctuations of Dark Matter in the RPT, we reprove the behavior in the context of the Wiener Hermite expansion using the result of Standard Perturbation Theory (SPT). We propose a new…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
