TL;DR
This paper introduces a high-precision matter power spectrum emulator based on extensive simulations, enabling fast and accurate cosmological predictions across a broad parameter space for current and future surveys.
Contribution
The paper presents the final version of a matter power spectrum emulator built on 111 high-resolution simulations, covering complex cosmological models including neutrinos and dark energy.
Findings
Achieves 2-3% accuracy over wide parameter ranges
Utilizes 111 large-volume simulations and additional lower-resolution runs
Publicly released for use in cosmological inference
Abstract
Modern cosmological surveys are delivering datasets characterized by unprecedented quality and statistical completeness; this trend is expected to continue into the future as new ground- and space-based surveys come online. In order to maximally extract cosmological information from these observations, matching theoretical predictions are needed. At low redshifts, the surveys probe the nonlinear regime of structure formation where cosmological simulations are the primary means of obtaining the required information. The computational cost of sufficiently resolved large-volume simulations makes it prohibitive to run very large ensembles. Nevertheless, precision emulators built on a tractable number of high-quality simulations can be used to build very fast prediction schemes to enable a variety of cosmological inference studies. We have recently introduced the Mira-Titan Universe…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
