4.7 Article

Euclid preparation: IX. EuclidEmulator2-power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 505, Issue 2, Pages 2840-2869

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stab1366

Keywords

methods: numerical; methods: statistical; cosmological parameters; large-scale structure of Universe

Funding

  1. Swiss National Science Foundation (SNF) [200020_149848]
  2. Forschungskredit of the University of Zurich [K-76102-01-01]
  3. Agenzia Spaziale Italiana
  4. Belgian Science Policy
  5. Canadian Euclid Consortium
  6. Centre National d'Etudes Spatiales
  7. Deutsches Zentrum fur Luft-und Raumfahrt
  8. Danish Space Research Institute
  9. Ministerio de Economia y Competitividad
  10. National Aeronautics and Space Administration
  11. Netherlandse Onderzoekschool Voor Astronomie
  12. Norwegian Space Agency
  13. Romanian Space Agency
  14. State Secretariat for Education, Research and Innovation (SERI) at the Swiss Space Office (SSO)
  15. United Kingdom Space Agency
  16. Fundacao para a Ciencia e a Tecnologia
  17. Swiss National Science Foundation (SNF) [200020_149848] Funding Source: Swiss National Science Foundation (SNF)

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EuclidEmulator2 is a fast and accurate predictor for the nonlinear correction of the matter power spectrum, achieving 2% accuracy in an eight-dimensional parameter space. By improving the quality of N-body simulations and conducting high fidelity tests, it has been successfully applied in various comparisons and blind tests, showing superior accuracy of nonlinear correction factors at z <= 3 compared to high-resolution dark-matter-only simulations.
We present a new, updated version of the EuclidEmulator (called EuclidEmulator2), a fast and accurate predictor for the nonlinear correction of the matter power spectrum. 2 per cent level accurate emulation is now supported in the eight-dimensional parameter space of w(0)w(a)CDM+Sigma m(nu) models between redshift z = 0 and z = 3 for spatial scales within the range . In order to achieve this level of accuracy, we have had to improve the quality of the underlying N-body simulations used as training data: (i) we use self-consistent linear evolution of non-dark matter species such as massive neutrinos, photons, dark energy, and the metric field, (ii) we perform the simulations in the so-called N-body gauge, which allows one to interpret the results in the framework of general relativity, (iii) we run over 250 high-resolution simulations with 3000(3) particles in boxes of 1(h(-1)Gpc)(3) volumes based on paired-and-fixed initial conditions, and (iv) we provide a resolution correction that can be applied to emulated results as a post-processing step in order to drastically reduce systematic biases on small scales due to residual resolution effects in the simulations. We find that the inclusion of the dynamical dark energy parameter w(a) significantly increases the complexity and expense of creating the emulator. The high fidelity of EuclidEmulator2 is tested in various comparisons against N-body simulations as well as alternative fast predictors such as HALOFIT, HMCode, and CosmicEmu. A blind test is successfully performed against the Euclid Flagship v2.0 simulation. Nonlinear correction factors emulated with EuclidEmulator2 are accurate at the level of or better for and z <= 3 compared to high-resolution dark-matter-only simulations. EuclidEmulator2 is publicly available at https://github.com/miknab/EuclidEmulator2.

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