Modeling nonlinear scales with COLA: preparing for LSST-Y1
arxiv(2024)
摘要
Year 1 results of the Legacy Survey of Space and Time (LSST) will provide
tighter constraints on small-scale cosmology, beyond the validity of linear
perturbation theory. This heightens the demand for a computationally affordable
prescription that can accurately capture nonlinearities in beyond-ΛCDM
models. The COmoving Lagrangian Acceleration (COLA) method, a cost-effective
N-body technique, has been proposed as a viable alternative to
high-resolution N-body simulations for training emulators of the
nonlinear matter power spectrum. In this study, we evaluate this approach by
employing COLA emulators to conduct a cosmic shear analysis with LSST-Y1
simulated data across three different nonlinear scale cuts. We use the wCDM
model, for which the EuclidEmulator2 (ee2) exists as a
benchmark, having been trained with high-resolution N-body
simulations. We primarily utilize COLA simulations with mass resolution M_
part≈ 8 × 10^10 h^-1 M_⊙ and force resolution
ℓ_ force=0.5 h^-1Mpc, though we also test refined settings with
M_ part≈ 1 × 10^10 h^-1M_⊙ and force resolution
ℓ_ force=0.17 h^-1Mpc. We find the performance of the COLA
emulators is sensitive to the placement of high-resolution N-body
reference samples inside the prior, which only ensure agreement in their local
vicinity. However, the COLA emulators pass stringent criteria in
goodness-of-fit and parameter bias throughout the prior, when ΛCDM
predictions of ee2 are computed alongside every COLA emulator
prediction, suggesting a promising approach for extended models.
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