English

MF-Box: Multi-fidelity and multi-scale emulation for the matter power spectrum

Cosmology and Nongalactic Astrophysics 2023-10-05 v2 Instrumentation and Methods for Astrophysics Data Analysis, Statistics and Probability

Abstract

We introduce MF-Box, an extended version of MFEmulator, designed as a fast surrogate for power spectra, trained using N-body simulation suites from various box sizes and particle loads. To demonstrate MF-Box's effectiveness, we design simulation suites that include low-fidelity suites (L1 and L2) at 256Mpc/h256 \,\mathrm{Mpc}/h and 100Mpc/h100 \,\mathrm{Mpc}/h, each with 1283128^3 particles, and a high-fidelity suite (HF) with 5123512^3 particles at 256Mpc/h256 \,\mathrm{Mpc}/h, representing a higher particle load compared to the low-fidelity suites. MF-Box acts as a probabilistic resolution correction function, learning most of the cosmological dependencies from L1 and L2 simulations and rectifying resolution differences with just 3 HF simulations using a Gaussian process. MF-Box successfully emulates power spectra from our HF testing set with a relative error of <3%< 3\% up to k7h/Mpck \simeq 7 \,h/\mathrm{Mpc} at z[0,3]z \in [0, 3], while maintaining a cost similar to our previous multi-fidelity approach, which was accurate only up to z=1z = 1. The addition of an extra low-fidelity node in a smaller box significantly improves emulation accuracy for MF-Box at k>2h/Mpck > 2 \,h/\mathrm{Mpc}, increasing it by a factor of 1010. We conduct an error analysis of MF-Box based on computational budget, providing guidance for optimizing budget allocation per fidelity node. Our proposed MF-Box enables future surveys to efficiently combine simulation suites of varying quality, effectively expanding the range of emulation capabilities while ensuring cost efficiency.

Keywords

Cite

@article{arxiv.2306.03144,
  title  = {MF-Box: Multi-fidelity and multi-scale emulation for the matter power spectrum},
  author = {Ming-Feng Ho and Simeon Bird and Martin A. Fernandez and Christian R. Shelton},
  journal= {arXiv preprint arXiv:2306.03144},
  year   = {2023}
}

Comments

19 pages, 16 figures. Match the MNRAS version. Data available at: https://github.com/jibanCat/MFBoxData, Code and tutorials available at: https://github.com/jibanCat/matter_emu_mfbox