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  Why cosmic voids matter: nonlinear structure & linear dynamics

Schuster, N., Hamaus, N., Dolag, K., & Weller, J. (2023). Why cosmic voids matter: nonlinear structure & linear dynamics. Journal of Cosmology and Astroparticle Physics, 2023(5). doi:10.1088/1475-7516/2023/05/031.

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Schuster, Nico, Author
Hamaus, Nico, Author
Dolag, Klaus1, Author           
Weller, Jochen, Author
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1Computational Structure Formation, MPI for Astrophysics, Max Planck Society, ou_2205642              

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 Abstract: We use the Magneticum suite of state-of-the-art hydrodynamical simulations to identify cosmic voids based on the watershed technique and investigate their most fundamental properties across different resolutions in mass and scale. This encompasses the distributions of void sizes, shapes, and content, as well as their radial density and velocity profiles traced by the distribution of cold dark matter particles and halos. We also study the impact of various tracer properties, such as their sparsity and mass, and the influence of void merging on these summary statistics. Our results reveal that all of the analyzed void properties are physically related to each other and describe universal characteristics that are largely independent of tracer type and resolution. Most notably, we find that the motion of tracers around void centers is perfectly consistent with linear dynamics, both for individual, as well as stacked voids. Despite the large range of scales accessible in our simulations, we are unable to identify the occurrence of nonlinear dynamics even inside voids of only a few Mpc in size. This suggests voids to be among the most pristine probes of cosmology down to scales that are commonly referred to as highly nonlinear in the field of large-scale structure.

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Language(s): eng - English
 Dates: 2023-05-15
 Publication Status: Published online
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 Rev. Type: Peer
 Identifiers: DOI: 10.1088/1475-7516/2023/05/031
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Title: Journal of Cosmology and Astroparticle Physics
  Abbreviation : J. Cosmol. Astropart. Phys.
  Abbreviation : JCAP
Source Genre: Journal
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Pages: - Volume / Issue: 2023 (5) Sequence Number: - Start / End Page: - Identifier: ISSN: 1475-7516