TL;DR
This paper introduces a hybrid Lagrangian bias expansion emulator combining simulations and analytical models to accurately predict galaxy clustering power spectra for upcoming surveys, covering a wide parameter space.
Contribution
It presents a novel emulator that integrates Lagrangian bias expansion with N-body simulation dynamics, achieving 1% accuracy across relevant scales and parameters.
Findings
Emulator achieves 1% accuracy for basis spectra up to k=1 Mpc^{-1}h.
Joint fit to simulation data remains unbiased up to k≈0.7 Mpc^{-1}h.
Provides precise predictions for galaxy power spectra in upcoming CSST survey.
Abstract
Galaxy clustering is an important probe in the upcoming China Space Station Telescope (CSST) survey to understand the structure growth and reveal the nature of the dark sector. However, it is a long-term challenge to model this biased tracer and connect the observable to the underlying physics. In this work, we present a hybrid Lagrangian bias expansion emulator, combining the Lagrangian bias expansion and the accurate dynamical evolution from -body simulation, to predict the power spectrum of the biased tracer in real space. We employ the Kun simulation suite to construct the emulator, emulating across the space of 8 cosmological parameters including dynamic dark energy , , and total neutrino mass . The sample variance due to the finite simulation box is further reduced using the Zel'dovich variance control, and it enables the precise measurement of the…
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