A coarse grained perturbation theory for the Large Scale Structure, with cosmology and time independence in the UV
Alessandro Manzotti, Marco Peloso, Massimo Pietroni, Matteo Viel,, Francisco Villaescusa-Navarro

TL;DR
This paper introduces a coarse-grained perturbation theory for the Universe's large-scale structure that combines perturbative methods with N-body simulations, achieving high accuracy in predicting the nonlinear power spectrum across various cosmologies.
Contribution
It develops a hybrid approach that accurately reproduces the nonlinear power spectrum using a simple 1-loop IR computation and a single correlator from simulations, applicable across different cosmologies without additional simulations.
Findings
Achieves percent-level accuracy in power spectrum predictions up to k~0.4 h/Mpc.
Demonstrates that the correlator measured in one cosmology can be rescaled for others.
Shows the approach's relation to Effective Field Theory methods.
Abstract
Standard cosmological perturbation theory (SPT) for the Large Scale Structure (LSS) of the Universe fails at small scales (UV) due to strong nonlinearities and to multistreaming effects. In Pietroni et al. 2011 a new framework was proposed in which the large scales (IR) are treated perturbatively while the information on the UV, mainly small scale velocity dispersion, is obtained by nonlinear methods like N-body simulations. Here we develop this approach, showing that it is possible to reproduce the fully nonlinear power spectrum (PS) by combining a simple (and fast) 1-loop computation for the IR scales and the measurement of a single, dominant, correlator from N-body simulations for the UV ones. We measure this correlator for a suite of seven different cosmologies, and we show that its inclusion in our perturbation scheme reproduces the fully non-linear PS with percent level accuracy,…
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.
