4.7 Article

The large-scale properties of simulated cosmological magnetic fields

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1093/mnras/stv1692

关键词

magnetic fields; MHD; methods: numerical; cosmology: theory

资金

  1. European Research Council [ERC-StG EXAGAL-308037]
  2. DFG Research Centre [SFB-881]
  3. Klaus Tschira Foundation
  4. Magny cluster at the Heidelberg Institute for Theoretical Studies
  5. Stampede supercomputer at the Texas Advanced Computing Center as part of XSEDE projects [TG-AST14007S8, TG-AST140082]

向作者/读者索取更多资源

We perform uniformly sampled large-scale cosmological simulations including magnetic fields with the moving mesh code AREPO. We run two sets of MHD simulations: one including adiabatic gas physics only; the other featuring the fiducial feedback model of the Illustris simulation. In the adiabatic case, the magnetic field amplification follows the B alpha rho(2/3) scaling derived from 'flux-freezing' arguments, with the seed field strength providing an overall normalization factor. At high baryon overdensities the amplification is enhanced by shear flows and turbulence. Feedback physics and the inclusion of radiative cooling change this picture dramatically. In haloes, gas collapses to much larger densities and the magnetic field is amplified strongly and to the same maximum intensity irrespective of the initial seed field of which any memory is lost. At lower densities a dependence on the seed field strength and orientation, which in principle can be used to constrain models of cosmic magnetogenesis, is still present. Inside the most massive haloes magnetic fields reach values of similar to 10-100 mu G, in agreement with galaxy cluster observations. The topology of the field is tangled and gives rise to rotation measure signals in reasonable agreement with the observations. However, the rotation measure signal declines too rapidly towards larger radii as compared to observational data.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据