TL;DR
This paper introduces an improved halo model, HMcode-2020, for accurate non-linear matter power spectrum predictions across various cosmologies, including baryonic feedback effects, with high precision and broad applicability.
Contribution
The paper presents an updated HMcode with enhanced modeling of BAO damping, massive neutrinos, and baryonic feedback, achieving higher accuracy than previous models and fitting to hydrodynamical simulations.
Findings
Achieves 2.5% RMS error in power spectrum predictions across cosmologies
Models baryonic feedback effects with <1% accuracy for z<1
Provides publicly available code integrated into CAMB and soon in CLASS
Abstract
We present an updated version of the HMcode augmented halo model that can be used to make accurate predictions of the non-linear matter power spectrum over a wide range of cosmologies. Major improvements include modelling of BAO damping in the power spectrum and an updated treatment of massive neutrinos. We fit our model to simulated power spectra and show that we can match the results with an RMS error of 2.5 per cent across a range of cosmologies, scales , and redshifts . The error rarely exceeds 5 per cent and never exceeds 16 per cent. The worst-case errors occur at , or for cosmologies with unusual dark-energy equations of state. This represents a significant improvement over previous versions of HMcode, and over other popular fitting functions, particularly for massive-neutrino cosmologies with high neutrino mass. We also present a simple…
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