Modeling nonlinear scales with the comoving Lagrangian acceleration method: Preparing for LSST Y1

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-$\mathrm{\ensuremath{\Lambda}}\mathrm{CDM}$ 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 $w\mathrm{CDM}$ 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 ${M}_{\mathrm{part}}\ensuremath{\approx}8\ifmmode\times\else\texttimes\fi{}{10}^{10}{h}^{\ensuremath{-}1}{M}_{\ensuremath{\bigodot}}$ and force resolution ${\ensuremath{\ell}}_{\text{force}}=0.5{h}^{\ensuremath{-}1}\text{ }\text{ }\mathrm{Mpc}$, though we also test refined settings with ${M}_{\mathrm{part}}\ensuremath{\approx}1\ifmmode\times\else\texttimes\fi{}{10}^{10}{h}^{\ensuremath{-}1}{M}_{\ensuremath{\bigodot}}$ and force resolution ${\ensuremath{\ell}}_{\text{force}}=0.17{h}^{\ensuremath{-}1}\text{ }\text{ }\mathrm{Mpc}$. 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 existing high-resolution $\mathrm{\ensuremath{\Lambda}}\mathrm{CDM}$ emulators are leveraged alongside the COLA emulators to predict the respective $\mathrm{\ensuremath{\Lambda}}\mathrm{CDM}$ parameters, suggesting a promising template for extensions to $\mathrm{\ensuremath{\Lambda}}\mathrm{CDM}$.

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Publication Details

Journal
Physical review. D/Physical review. D.
Published
2024-10-24
DOI
https://doi.org/10.1103/physrevd.110.083529
Citations
1
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
0.46

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article

Modeling nonlinear scales with the comoving Lagrangian acceleration method: Preparing for LSST Y1

Bernardo F. de Aguiar, Vivian Miranda, F. T. Falciano, João Rebouças et al.
1 citations
Physical review. D/Physical review. D.
Probabilistic and Robust Engineering Design
0.46
article

Modeling nonlinear scales with the comoving Lagrangian acceleration method: Preparing for LSST Y1

Bernardo F. de Aguiar, Vivian Miranda, F. T. Falciano, João Rebouças, K. Koyama, Hans A. Winther, Guilherme Brando, Jonathan Gordon
article en
1 citations

Abstract

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-$\mathrm{\ensuremath{\Lambda}}\mathrm{CDM}$ 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 $w\mathrm{CDM}$ 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 ${M}_{\mathrm{part}}\ensuremath{\approx}8\ifmmode\times\else\texttimes\fi{}{10}^{10}{h}^{\ensuremath{-}1}{M}_{\ensuremath{\bigodot}}$ and force resolution ${\ensuremath{\ell}}_{\text{force}}=0.5{h}^{\ensuremath{-}1}\text{ }\text{ }\mathrm{Mpc}$, though we also test refined settings with ${M}_{\mathrm{part}}\ensuremath{\approx}1\ifmmode\times\else\texttimes\fi{}{10}^{10}{h}^{\ensuremath{-}1}{M}_{\ensuremath{\bigodot}}$ and force resolution ${\ensuremath{\ell}}_{\text{force}}=0.17{h}^{\ensuremath{-}1}\text{ }\text{ }\mathrm{Mpc}$. 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 existing high-resolution $\mathrm{\ensuremath{\Lambda}}\mathrm{CDM}$ emulators are leveraged alongside the COLA emulators to predict the respective $\mathrm{\ensuremath{\Lambda}}\mathrm{CDM}$ parameters, suggesting a promising template for extensions to $\mathrm{\ensuremath{\Lambda}}\mathrm{CDM}$.

Physical review. D/Physical review. D.Vol. 110(8)
University of Oslo (NO), Max Planck Institute for Gravitational Physics (DE), Stony Brook University (US), University of Portsmouth (GB), Universidade Estadual Paulista (Unesp) (BR)
National Science Foundation, Alexander von Humboldt-Stiftung, Empire State Development's Division of Science, Technology and Innovation, Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Norges Forskningsråd, Universidade Estadual Paulista, ICTP South American Institute for Fundamental Research, Science and Technology Facilities Council
Openalex Percentile: Top 27%
Probabilistic and Robust Engineering Design
0.46
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