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Probing viscosity of the intracluster medium using ram-pressure stripping

delete2026-07-10
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OA
AI
Y
Yung-Hsuan Tseng *
H
Hsiang-Yi Karen Yang *
R
Ryan Farber
M
Mateusz Ruszkowski
DOI:10.1093/mnras/stag1292delete
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Abstract

Abstract

En 中文
Galaxies falling into galaxy clusters can leave imprints on both the corona of galaxies and the intracluster medium (ICM) of galaxy clusters. Throughout this infall process, the galaxy’s atmosphere is subjected to ram pressure from a headwind, leading to the stripping morphology observed in its tail. The morphological evolution is affected by the properties of the surrounding ICM such as magnetic fields and viscosity. In this paper, we perform 3D Braginskii-magnetohydrodynamic simulations using the FLASH code with varied ICM viscosity models. Specifically, we explore four models: an inviscid case, unsuppressed isotropic viscosity, unsuppressed anisotropic viscosity, and anisotropic viscosity suppressed by plasma instabilities. Our findings indicate that the isotropic viscosity case effectively suppresses hydrodynamic instabilities and shows strong viscous heating and the least mixing with the ICM, enabling the formation of long, coherent tails. The inviscid model has the shortest tail due to vigorous mixing, and the models with anisotropic viscosity are in between. The model with suppressed anisotropic viscosity due to plasma instabilities exhibits enhanced turbulence in the galactic tail and a concurrent limitation in viscous heating compared to the model neglecting plasma instabilities. These findings highlight the significant impact of ICM plasma physics on the processes of ram pressure stripping of galaxies.

Journal

Monthly Notices of the Royal Astronomical Society cover
Monthly Notices of the Royal Astronomical Society
IF:
4.8
Papers:
7.0W
Citations:
25.0W

Organization

Purdue University Fort Wayne cover
Purdue University Fort Wayne
Scholars:
26
Papers: 20
Citations: 112
N
national tsing hua university
Scholars:
1.7K
Papers: 755
Citations: 0
U
university of michigan
Scholars:
7.8K
Papers: 3.7K
Citations: 1
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