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The BACCO Simulation Project: Exploiting the full power of large-scale structure for cosmology

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arxiv 2004.06245 v2 pith:RFW7BLDL submitted 2020-04-14 astro-ph.CO astro-ph.GA

classification astro-ph.COastro-ph.GA
keywords baccopredictionscosmologicalemulatormassparameterspowerproject
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We present the BACCO project, a simulation framework specially designed to provide highly-accurate predictions for the distribution of mass, galaxies, and gas as a function of cosmological parameters. In this paper, we describe our main suite of simulations (L $\sim2$ Gpc and $4320^3$ particles) and present various validation tests. Using a cosmology-rescaling technique, we predict the nonlinear mass power spectrum over the redshift range $0<z<1.5$ and over scales $10^{-2} < k/(h Mpc^{-1} ) < 5$ for 800 points in an 8-dimensional cosmological parameter space. For an efficient interpolation of the results, we build an emulator and compare its predictions against several widely-used methods. Over the whole range of scales considered, we expect our predictions to be accurate at the 2\% level for parameters in the minimal $\Lambda$ CDM model and to 3\% when extended to dynamical dark energy and massive neutrinos. We make our emulator publicly available under http://www.dipc.org/bacco

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Computing Nonlinear Power Spectra Across Dynamical Dark Energy Model Space with Neural ODEs

    astro-ph.CO 2025-06 conditional novelty 6.0 of 10

    A neural ODE trained only on LambdaCDM spectra predicts nonlinear matter power spectra to about 4 percent accuracy for smooth w(z) dark energy models, pending stronger validation.

  2. Low-redshift constraints on structure growth from CMB lensing tomography

    astro-ph.CO 2025-10 conditional novelty 5.0 of 10

    Low-redshift galaxy clustering and CMB lensing tomography with hybrid effective field theory gives S8=0.79±0.06, consistent with Planck, while data alone prefer Ωm=0.245±0.024.

  3. Extending CSST Emulator to post-DESI era

    astro-ph.CO 2025-10 conditional novelty 5.0 of 10

    A tuned 'spectral equivalence' mapping lets the CSST emulator predict nonlinear matter power spectra at ~1% accuracy across the DESI DR2+CMB dynamic-dark-energy posterior.

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