Using the redshift-space halo power spectra measured from the dark quest N-body simulation suite that covers 101 flat-geometry w-cold dark matter ( w CDM) cosmologies around the Planck Λ CDM model, we feed these data into a feed-forward neural network to build the fast and accurate emulation of the power spectrum from the linear to nonlinear scales up to k ≃ 0.6 h Mpc − 1. In this work, we develop a simulation-based template, so-called emulator, for the redshift-space power spectrum of dark matter halos. An accurate theoretical template of the redshift-space galaxy power spectrum, if applicable out to nonlinear scales, enables us to extract more stringent and robust constraints on cosmological parameters from the measured galaxy clustering.
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