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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 gravity-only simulations (L 2\, Gpc and 43203 particles) and present various validation tests. Using a cosmology-rescaling technique, we predict the non-linear 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 eight-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{\ per\ cent} level for parameters in the minimal Lambda cold dark matter model and to 3{\ per\ cent} when extended to dynamical dark energy and massive neutrinos. We make our emulator publicly available under http: //www. dipc. org/bacco
Angulo et al. (Fri,) studied this question.