arXiv · 2004.06245
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 $\sim2$ 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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Raul E. Angulo, Matteo Zennaro, Sergio Contreras, Giovanni Aricò, Marcos Pellejero-Ibañez, Jens Stücker. 2020-04-14. The BACCO Simulation Project: Exploiting the full power of large-scale structure for cosmology. https://doi.org/10.1093/mnras/stab2018
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