Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8490
Title: Aemulus ν: precise predictions for matter and biased tracer power spectra in the presence of neutrinos
Authors: Derose, Joseph
Kokron, Nickolas
BANERJEE, ARKA
Chen, Shi-Fan
White, Martin
Wechsler, Risa
Storey-Fisher, Kate
Tinker, Jeremy
Zhai, Zhongxu
Dept. of Physics
Keywords: Cosmological neutrinos
Cosmological parameters from LSS
Cosmological simu-lations
Dark matter simulations
2023
Issue Date: Jul-2023
Publisher: IOP Publishing
Citation: Journal of Cosmology and Astroparticle Physics, 2023(07), 054.
Abstract: We present the Aemulus nu simulations: a suite of 150 (1.05h( -1)Gpc)(3) N-body simulations with a mass resolution of 3.51 x 10(10) (ohm)cb /0.3 h M--1(circle dot) in a w nu CDM cosmological parameter space. The simulations have been explicitly designed to span a broad range in sigma 8 to facilitate investigations of tension between large scale structure and cosmic microwave background cosmological probes. Neutrinos are treated as a second particle species to ensure accuracy to 0.5 eV, the maximum neutrino mass that we have simulated. By employing Zel'dovich control variates, we increase the effective volume of our simulations by factors of 10-10(5) depending on the statistic in question. As a first application of these simulations, we build new hybrid effective field theory and matter power spectrum surrogate models, demonstrating that they achieve <= 1% accuracy for k <= 1 hMpc(-1) and 0 <= z <= 3, and <= 2% accuracy for k <= 4 hMpc(-1) for the matter power spectrum. We publicly release the trained surrogate models, and estimates of the surrogate model errors in the hope that they will be broadly applicable to a range of cosmological analyses for many years to come.
URI: https://doi.org/10.1088/1475-7516/2023/07/054
http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/8490
ISSN: 1475-7516
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