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The Mira-Titan Universe IV. High Precision Power Spectrum Emulation

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arxiv 2207.12345 v1 pith:2H4GO2X2 submitted 2022-07-25 astro-ph.CO stat.AP

classification astro-ph.COstat.AP
keywords cosmologicalsimulationsomegapowerspectrumsurveysemulatoremulators
verification ladder T0 review T1 audit T2 compute T3 formal
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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 simulation suite designed to construct emulators for a range of cosmological probes. The suite covers the standard six cosmological parameters $\{\omega_m,\omega_b, \sigma_8, h, n_s, w_0\}$ and, in addition, includes massive neutrinos and a dynamical dark energy equation of state, $\{\omega_{\nu}, w_a\}$. In this paper we present the final emulator for the matter power spectrum based on 111 cosmological simulations, each covering a (2.1Gpc)$^3$ volume and evolving 3200$^3$ particles. An additional set of 1776 lower-resolution simulations and TimeRG perturbation theory results for the power spectrum are used to cover scales straddling the linear to mildly nonlinear regimes. The emulator provides predictions at the two to three percent level of accuracy over a wide range of cosmological parameters and is publicly released as part of this paper.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. CLiENT: A new tool for emulating cosmological likelihoods using deep neural networks

    astro-ph.CO 2025-12 conditional novelty 6.0 of 10

    A neural-network tool that directly emulates cosmological likelihood functions, achieving ~0.1σ-accurate credible intervals with roughly 20,000 likelihood evaluations.

  2. CSST Cosmological Emulator II: Generalized Accurate Halo Mass Function Emulation

    astro-ph.CO 2025-06 conditional novelty 6.0 of 10

    A new emulator predicts cumulative dark matter halo mass functions for three mass definitions with claimed 2-10% accuracy from z=0 to 3, based on the Kun simulation suite.

  3. Extending CSST Emulator to post-DESI era

    astro-ph.CO 2025-10 conditional novelty 5.0 of 10

    A tuned 'spectral equivalence' mapping lets the CSST emulator predict nonlinear matter power spectra at ~1% accuracy across the DESI DR2+CMB dynamic-dark-energy posterior.

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