Web-Halo Model (WHM): Accurate non-linear matter power spectrum predictions without free parameters
Samuel Brieden, Florian Beutler, Marcos Pellejero-Iba\~nez

TL;DR
The paper introduces a parameter-free halo model extension, WHM, that accurately predicts the non-linear matter power spectrum across various redshifts and scales, surpassing previous models without relying on free parameters.
Contribution
The authors develop a free-parameter halo model extension, WHM, incorporating structures like filaments and sheets, combined with 1-loop LPT, achieving high accuracy without tuning.
Findings
Matches N-body simulation spectra within 2% accuracy.
Outperforms HMcode-2020 at high redshifts.
Provides publicly available WHMcode for community use.
Abstract
We present a parameter-free variant of the halo model that significantly improves the precision of matter clustering predictions, particularly in the challenging 1-halo to 2-halo transition regime, where standard halo models often fail. Unlike HMcode-2020, which relies on 12 phenomenological parameters, our approach achieves comparable or superior accuracy without any free fitting parameters. This new web-halo model (WHM) extends the traditional halo model by incorporating structures that have collapsed along two dimensions (filaments) and one dimension (sheets), in addition to haloes, and combines these with 1-loop Lagrangian Perturbation Theory (1-LPT) in a consistent framework. We show that WHM matches N-body simulation power spectra within the precision of state-of-the-art emulators at the 2-halo to 1-halo transition regime at all redshifts. Specifically, the WHM achieves…
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.
