The novel emulator improves predictions of the matter power spectrum in cosmology, enabling tests of dark energy and neutrino properties.
We present Goku, a suite of cosmological N-body simulations, and the corresponding 10-dimensional emulator, GokuEmu, for the nonlinear matter power spectrum. The simulations span the base parameters of Λ Cold Dark Matter (ΛCDM) cosmology and its extensions, including dynamical dark energy (w₀, wₐ), the sum of the neutrino masses (∑ m_ν), the effective number of neutrinos (Nₑff), and the running of the scalar spectral index (αₛ), enabling tests of new physics with data from upcoming surveys like the Roman Space Telescope, Euclid, and LSST. Designed within the MF-Box framework, which integrates multi-scale and multi-fidelity simulations, the suite includes high-fidelity simulations evolving 3000³ particles in 1\,(Gpc/h)³ volumes and low-fidelity simulations with 750³ particles across varying box sizes. This approach achieves percent-level accuracy in high-likelihood regions and 5% accuracy across broader parameter ranges, while reducing computational costs by 94% compared to single-fidelity methods. The simulations adopt an accurate treatment of massive neutrinos, enhancing predictions of the matter power spectrum on nonlinear scales. Key innovations include an adaptive sampling strategy and the use of beam search to optimize generalization accuracy. The emulator is valid for redshifts z ≤ 3 and scales 0.01 k / (h \, Mpc⁻¹) 10. Beyond the matter power spectrum, the simulations also support analyses of other statistical measures, such as the halo mass function. The emulator and its training data are publicly available at https://github.com/astro-YYH/GokuEmu, providing a valuable resource for cosmological parameter inference and model testing.
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Yang et al. (2025) studied this question.
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