Using a series of cosmological simulations which includes one
dark-matter-only (DM) run, one gas cooling-star formation-supernovae feedback
(CSF) run and one that additionally includes feedback from active galactic
nuclei (AGN), we classify the large-scale structures with both a
velocity-shear-tensor code and a tidal-tensor code. We find that the baryonic
processes have almost no impact on large-scale structures -- at least not when
classified using aforementioned techniques. More importantly, our results
confirm that the gas component alone can be used to infer the filamentary
structure of the Universe practically un-biased, which could be applied to
cosmology constrains. In addition, the gas filaments are classified with its
velocity and density fields, which can theoretically connect to the radio
observations, such as HI surveys. This will help us to bias-freely link the
radio observations with dark matter distributions at large scale.
Beschreibung
[1708.02302] The large-scale environment from cosmological simulations I: The baryonic cosmic web
%0 Generic
%1 cui2017largescale
%A Cui, Weiguang
%A Knebe, Alexander
%A Yepes, Gustavo
%A Yang, Xiaohu
%A Borgani, Stefano
%A Kang, Xi
%A Power, Chris
%A Staveley-Smith, Lister
%D 2017
%K baryon feedback filament
%T The large-scale environment from cosmological simulations I: The
baryonic cosmic web
%U http://arxiv.org/abs/1708.02302
%X Using a series of cosmological simulations which includes one
dark-matter-only (DM) run, one gas cooling-star formation-supernovae feedback
(CSF) run and one that additionally includes feedback from active galactic
nuclei (AGN), we classify the large-scale structures with both a
velocity-shear-tensor code and a tidal-tensor code. We find that the baryonic
processes have almost no impact on large-scale structures -- at least not when
classified using aforementioned techniques. More importantly, our results
confirm that the gas component alone can be used to infer the filamentary
structure of the Universe practically un-biased, which could be applied to
cosmology constrains. In addition, the gas filaments are classified with its
velocity and density fields, which can theoretically connect to the radio
observations, such as HI surveys. This will help us to bias-freely link the
radio observations with dark matter distributions at large scale.
@misc{cui2017largescale,
abstract = {Using a series of cosmological simulations which includes one
dark-matter-only (DM) run, one gas cooling-star formation-supernovae feedback
(CSF) run and one that additionally includes feedback from active galactic
nuclei (AGN), we classify the large-scale structures with both a
velocity-shear-tensor code and a tidal-tensor code. We find that the baryonic
processes have almost no impact on large-scale structures -- at least not when
classified using aforementioned techniques. More importantly, our results
confirm that the gas component alone can be used to infer the filamentary
structure of the Universe practically un-biased, which could be applied to
cosmology constrains. In addition, the gas filaments are classified with its
velocity and density fields, which can theoretically connect to the radio
observations, such as HI surveys. This will help us to bias-freely link the
radio observations with dark matter distributions at large scale.},
added-at = {2017-08-09T10:24:34.000+0200},
author = {Cui, Weiguang and Knebe, Alexander and Yepes, Gustavo and Yang, Xiaohu and Borgani, Stefano and Kang, Xi and Power, Chris and Staveley-Smith, Lister},
biburl = {https://www.bibsonomy.org/bibtex/27d9211a4a8bbee0d2b7a384884c27b62/miki},
description = {[1708.02302] The large-scale environment from cosmological simulations I: The baryonic cosmic web},
interhash = {15164026b9625df4a78fe934b1fb2dba},
intrahash = {7d9211a4a8bbee0d2b7a384884c27b62},
keywords = {baryon feedback filament},
note = {cite arxiv:1708.02302Comment: 13 pages, 8 figures, submitted to MNRAS},
timestamp = {2017-08-09T10:24:34.000+0200},
title = {The large-scale environment from cosmological simulations I: The
baryonic cosmic web},
url = {http://arxiv.org/abs/1708.02302},
year = 2017
}