Screening vs. gevolution: In chase of a perfect cosmological simulation code

Maxim Eingorn (Department of Mathematics and Physics, North Carolina Central University, Durham, USA) ; A. Emrah Yükselci (Department of Physics, Istanbul Technical University, Istanbul, Turkey) ; Alexander Zhuk (Astronomical Observatory, Odessa I.I. Mechnikov National University, Odessa, Ukraine)

We compare two competing relativistic approaches to the N-body simulation of the Universe large-scale structure. To this end, employing the corresponding alternative computer codes (“gevolution” and “screening”), we conduct a series of cosmological simulations in boxes of different sizes and calculate the power spectra of the scalar perturbation Φ, the frame-dragging vector potential B and the difference between scalar modes χ=ΦΨ. We demonstrate that the corresponding power spectra are in very good agreement between the compared schemes. For example, the relative difference of the power spectra for Φ is 0.04% maximum. Since the perturbed Einstein equations have much simpler form in the screening approach, the simulation with this code consumes less computational time, saving almost 40% of CPU hours.

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      "source": "Elsevier", 
      "value": "We compare two competing relativistic approaches to the N-body simulation of the Universe large-scale structure. To this end, employing the corresponding alternative computer codes (\u201cgevolution\u201d and \u201cscreening\u201d), we conduct a series of cosmological simulations in boxes of different sizes and calculate the power spectra of the scalar perturbation \u03a6, the frame-dragging vector potential B and the difference between scalar modes <math><mi>\u03c7</mi><mo>=</mo><mi>\u03a6</mi><mo>\u2212</mo><mi>\u03a8</mi></math>. We demonstrate that the corresponding power spectra are in very good agreement between the compared schemes. For example, the relative difference of the power spectra for \u03a6 is 0.04% maximum. Since the perturbed Einstein equations have much simpler form in the screening approach, the simulation with this code consumes less computational time, saving almost 40% of CPU hours."
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Published on:
20 January 2022
Publisher:
Elsevier
Published in:
Physics Letters B , Volume 826 C (2022)

Article ID: 136911
DOI:
https://doi.org/10.1016/j.physletb.2022.136911
Copyrights:
The Author(s)
Licence:
CC-BY-3.0

Fulltext files: