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

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 $\sim 2$ 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 $10^{-2}<k/(hMp{c}^{-1})<5$ 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

12 pages; 11 figures. Accepted for publication in MNRAS

References in corpus (66)

• Adam: A Method for Stochastic Optimization
• Planck 2013 results. XVI. Cosmological parameters
• The cosmological simulation code GADGET-2
• The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: cosmological analysis of the DR12 galaxy sample
• Populating a cluster of galaxies - I. Results at z=0
• Cosmological Hydrodynamics with Adaptive Mesh Refinement: a new high resolution code called RAMSES
• Stable clustering, the halo model and nonlinear cosmological power spectra
• Observational Probes of Cosmic Acceleration
• Revising the Halofit Model for the Nonlinear Matter Power Spectrum
• The Carnegie-Chicago Hubble Program. VIII. An Independent Determination of the Hubble Constant Based on the Tip of the Red Giant Branch
• Large-Scale Galaxy Bias
• Scaling relations for galaxy clusters in the Millennium-XXL simulation
• The Expansion of the Universe is Faster than Expected
• The effects of galaxy formation on the matter power spectrum: A challenge for precision cosmology
• EMERGE - An empirical model for the formation of galaxies since $z\sim 10$
• The Mass-Concentration-Redshift Relation of Cold and Warm Dark Matter Halos
• Warm dark matter chills out: constraints on the halo mass function and the free-streaming length of dark matter with 8 quadruple-image strong gravitational lenses
• The Coyote Universe Extended: Precision Emulation of the Matter Power Spectrum
• Accurate Estimators of Correlation Functions in Fourier Space
• A new method to quantify the effects of baryons on the matter power spectrum
• Dark Quest. I. Fast and Accurate Emulation of Halo Clustering Statistics and Its Application to Galaxy Clustering
• Flowing with Time: a New Approach to Nonlinear Cosmological Perturbations
• Cosmological $N$-body simulations with suppressed variance
• Euclid preparation: II. The EuclidEmulator -- A tool to compute the cosmology dependence of the nonlinear matter power spectrum
• The impact of baryons on the matter power spectrum from the Horizon-AGN cosmological hydrodynamical simulation
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• Exploring the effects of galaxy formation on matter clustering through a library of simulation power spectra
• Matter power spectrum and the challenge of percent accuracy
• Subhalo abundance matching and assembly bias in the EAGLE simulation
• An efficient implementation of massive neutrinos in non-linear structure formation simulations
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• The Aemulus Project I: Numerical Simulations for Precision Cosmology
• KiDS+VIKING-450 and DES-Y1 combined: Mitigating baryon feedback uncertainty with COSEBIs
• The Mira-Titan Universe II: Matter Power Spectrum Emulation
• The Mira-Titan Universe: Precision Predictions for Dark Energy Surveys
• MassiveNuS: Cosmological Massive Neutrino Simulations
• L-GALAXIES 2020: Spatially resolved cold gas phases, star formation and chemical enrichment in galactic discs
• A High-Fidelity Realization of the Euclid Code Comparison $N$-body Simulation with Abacus
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• Cosmic Calibration
• UNIT project: Universe $N$-body simulations for the Investigation of Theoretical models from galaxy surveys
• An adaptively refined phase-space element method for cosmological simulations and collisionless dynamics
• Bayesian emulator optimisation for cosmology: application to the Lyman-alpha forest
• Cosmological constraints from the CFHTLenS shear measurements using a new, accurate and flexible way of predicting nonlinear mass clustering
• Statistical properties of paired fixed fields
• Numerical resolution limits on subhalo abundance matching
• Inverted initial conditions: exploring the growth of cosmic structure and voids
• Emulating galaxy clustering and galaxy-galaxy lensing into the deeply nonlinear regime: methodology, information, and forecasts
• Accurate emulator for the redshift-space power spectrum of dark matter halos and its application to galaxy power spectrum
• On the road to percent accuracy II: calibration of the non-linear matter power spectrum for arbitrary cosmologies
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• PkANN - II. A non-linear matter power spectrum interpolator developed using artificial neural networks
• How to add massive neutrinos to your $\Lambda$CDM simulation -- extending cosmology rescaling algorithms
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• Halo mass and weak galaxy-galaxy lensing profiles in rescaled cosmological $N$-body simulations

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