Dynamical Dark Energy simulations: high accuracy Power Spectra at high redshift
Luciano Casarini, Andrea V. Maccio', Silvio A. Bonometto

TL;DR
This paper develops and tests a high-precision simulation method to predict non-linear power spectra at high redshift for various dark energy models, crucial for interpreting future cosmological data.
Contribution
It extends a previous procedure to high redshift, enabling accurate power spectrum predictions for arbitrary w(z) dark energy models using N-body simulations.
Findings
The method achieves 1% accuracy at z=0 and better at higher redshifts.
Standard Halofit models are unsuitable for these physical dark energy models.
The approach effectively distinguishes models with different w(z) behaviors.
Abstract
Accurate predictions on non--linear power spectra, at various redshift z, will be a basic tool to interpret cosmological data from next generation mass probes, so obtaining key information on Dark Energy nature. This calls for high precision simulations, covering the whole functional space of w(z) state equations and taking also into account the admitted ranges of other cosmological parameters; surely a difficult task. A procedure was however suggested, able to match the spectra at z=0, up to k~3, hMpc^{-1}, in cosmologies with an (almost) arbitrary w(z), by making recourse to the results of N-body simulations with w = const. In this paper we extend such procedure to high redshift and test our approach through a series of N-body gravitational simulations of various models, including a model closely fitting WMAP5 and complementary data. Our approach detects w= const. models, whose…
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