ELUCID. VII. Using constrained hydro simulations to explore the gas component of the cosmic web
Entity
UAM. Departamento de Física TeóricaPublisher
American Astronomical SocietyDate
2022-08-25Citation
10.3847/1538-4357/ac8359
Astrophysical Journal 936.1 (2022): 11
ISSN
0004-637X (print); 1538-4357 (online)DOI
10.3847/1538-4357/ac8359Editor's Version
https://doi.org/10.3847/1538-4357/ac8359Subjects
Galaxies; Cosmos; XMM-Newton Telescope; FísicaRights
© 2022. The Author(s)Abstract
Using reconstructed initial conditions in the Sloan Digital Sky Survey (SDSS) survey volume, we carry out constrained hydrodynamic simulations in three regions representing different types of the cosmic web: the Coma cluster of galaxies; the SDSS Great Wall; and a large low-density region at z ∼ 0.05. These simulations, which include star formation and stellar feedback but no active galactic nucleus formation and feedback, are used to investigate the properties and evolution of intergalactic and intracluster media. About half of the warm-hot intergalactic gas is associated with filaments in the local cosmic web. Gas in the outskirts of massive filaments and halos can be heated significantly by accretion shocks generated by mergers of filaments and halos, respectively, and there is a tight correlation between the gas temperature and the strength of the local tidal field. The simulations also predict some discontinuities associated with shock fronts and contact edges, which can be tested using observations of the thermal Sunyaev-Zel’dovich effect and X-rays. A large fraction of the sky is covered by Lyα and O vi absorption systems, and most of the O vi systems and low-column-density H i systems are associated with filaments in the cosmic web. The constrained simulations, which follow the formation and heating history of the observed cosmic web, provide an important avenue to interpret observational data. With full information about the origin and location of the cosmic gas to be observed, such simulations can also be used to develop observational strategies
Files in this item
Google Scholar:Li, Renjie
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Wang, Huiyuan
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Mo, H. J.
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Huang, Shuiyao
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Katz, Neal
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Luo, Xiong
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Cui, Weiguang
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Li, Hao
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Yang, Xiaohu
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Jiang, Ning
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Zhang, Yuning
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