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Superclustering with the Atacama Cosmology Telescope and Dark Energy Survey II. Anisotropic large-scale coherence in hot gas, galaxies, and dark matter

Superclustering with the Atacama Cosmology Telescope and Dark Energy Survey II. Anisotropic large-scale coherence in hot gas, galaxies, and dark matter
Superclustering with the Atacama Cosmology Telescope and Dark Energy Survey II. Anisotropic large-scale coherence in hot gas, galaxies, and dark matter
Statistics that capture the directional dependence of the baryon distribution in the cosmic web enable unique tests of cosmology and astrophysical feedback. We use constrained oriented stacking of thermal Sunyaev–Zel'dovich (tSZ) maps to measure the anisotropic distribution of hot gas 2.5–40 Mpc away from galaxy clusters embedded in massive filaments and superclusters. The cluster selection and orientation (at a scale of ∼15 Mpc) use Dark Energy Survey (DES) Year 3 data, while expanded tSZ maps from the Atacama Cosmology Telescope Data Release 6 enable a ∼3× more significant measurement of the extended gas compared to the technique's proof-of-concept. Decomposing stacks into cosine multipoles of order m, we detect a dipole (m = 1) and quadrupole (m = 2) at 8σ–10σ, as well as evidence for m = 4 signal at up to 6σ, indicating sensitivity to late-time non-Gaussianity. We compare to Cardinal simulations with spherical gas models pasted onto dark matter halos. The fiducial tSZ data can discriminate between two models that deplete pressure differently in low-mass halos (mimicking astrophysical feedback), preferring higher average pressure in extended structures. However, uncertainty in the amount of cosmic infrared background contamination reduces the constraining power. Additionally, we apply the technique to DES galaxy density and weak lensing to study for the first time their oriented relationships with tSZ. In the tSZ-to-lensing relation, averaged on 7.5 Mpc (transverse) scales, we observe dependence on redshift but not shape or radial distance. Thus, on large scales, the superclustering of gas pressure, galaxies, and total matter is coherent in shape and extent.
astro-ph.CO
Lokken, M.
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van Engelen, A.
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Aguena, M.
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Dunkley, J.
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Gruen, D.
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Guan, Y.
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Gutierrez, G.
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Hinton, S.R.
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Hložek, R.
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James, D.J.
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Kuehn, K.
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Li, Z.
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Madhavacheril, M.
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Wiseman, P.
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et al.
Lokken, M.
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van Engelen, A.
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Aguena, M.
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Allam, S.S.
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Bacon, D.
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Bocquet, S.
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Bond, J.R.
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Brooks, D.
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Calabrese, E.
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Rosell, A. Carnero
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Carretero, J.
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Costanzi, M.
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Vicente, J. De
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Desai, S.
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Duivenvoorden, A.J.
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Dunkley, J.
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Huang, Z.
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Everett, S.
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Frieman, J.
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García-Bellido, J.
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Gatti, M.
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Gaztanaga, E.
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Giannini, G.
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Gluscevic, V.
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Gruen, D.
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Guan, Y.
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Gutierrez, G.
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Hinton, S.R.
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Hložek, R.
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Hollowood, D.L.
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Honscheid, K.
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James, D.J.
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Kuehn, K.
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Lahav, O.
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Lee, S.
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Li, Z.
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Madhavacheril, M.
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Marques, G.A.
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Marshall, J.L.
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Mena-Fernández, J.
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Wiseman, P.
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Lokken, M., van Engelen, A. and Aguena, M. , et al. (2025) Superclustering with the Atacama Cosmology Telescope and Dark Energy Survey II. Anisotropic large-scale coherence in hot gas, galaxies, and dark matter. The Astrophysical Journal, 982 (2), [186]. (doi:10.3847/1538-4357/adb622).

Record type: Article

Abstract

Statistics that capture the directional dependence of the baryon distribution in the cosmic web enable unique tests of cosmology and astrophysical feedback. We use constrained oriented stacking of thermal Sunyaev–Zel'dovich (tSZ) maps to measure the anisotropic distribution of hot gas 2.5–40 Mpc away from galaxy clusters embedded in massive filaments and superclusters. The cluster selection and orientation (at a scale of ∼15 Mpc) use Dark Energy Survey (DES) Year 3 data, while expanded tSZ maps from the Atacama Cosmology Telescope Data Release 6 enable a ∼3× more significant measurement of the extended gas compared to the technique's proof-of-concept. Decomposing stacks into cosine multipoles of order m, we detect a dipole (m = 1) and quadrupole (m = 2) at 8σ–10σ, as well as evidence for m = 4 signal at up to 6σ, indicating sensitivity to late-time non-Gaussianity. We compare to Cardinal simulations with spherical gas models pasted onto dark matter halos. The fiducial tSZ data can discriminate between two models that deplete pressure differently in low-mass halos (mimicking astrophysical feedback), preferring higher average pressure in extended structures. However, uncertainty in the amount of cosmic infrared background contamination reduces the constraining power. Additionally, we apply the technique to DES galaxy density and weak lensing to study for the first time their oriented relationships with tSZ. In the tSZ-to-lensing relation, averaged on 7.5 Mpc (transverse) scales, we observe dependence on redshift but not shape or radial distance. Thus, on large scales, the superclustering of gas pressure, galaxies, and total matter is coherent in shape and extent.

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Accepted/In Press date: 25 February 2025
e-pub ahead of print date: 28 March 2025
Published date: 1 April 2025
Keywords: astro-ph.CO

Identifiers

Local EPrints ID: 501203
URI: http://eprints.soton.ac.uk/id/eprint/501203
PURE UUID: 1074f701-85b5-4f9b-97ff-771782f66219
ORCID for P. Wiseman: ORCID iD orcid.org/0000-0002-3073-1512

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Date deposited: 27 May 2025 17:18
Last modified: 03 Sep 2025 01:54

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Contributors

Author: M. Lokken
Author: A. van Engelen
Author: M. Aguena
Author: S.S. Allam
Author: D. Anbajagane
Author: D. Bacon
Author: E. Baxter
Author: J. Blazek
Author: S. Bocquet
Author: J.R. Bond
Author: D. Brooks
Author: E. Calabrese
Author: A. Carnero Rosell
Author: J. Carretero
Author: M. Costanzi
Author: L.N. da Costa
Author: W.R. Coulton
Author: J. De Vicente
Author: S. Desai
Author: P. Doel
Author: C. Doux
Author: A.J. Duivenvoorden
Author: J. Dunkley
Author: Z. Huang
Author: S. Everett
Author: I. Ferrero
Author: J. Frieman
Author: J. García-Bellido
Author: M. Gatti
Author: E. Gaztanaga
Author: G. Giannini
Author: V. Gluscevic
Author: D. Gruen
Author: R.A. Gruendl
Author: Y. Guan
Author: G. Gutierrez
Author: S.R. Hinton
Author: R. Hložek
Author: D.L. Hollowood
Author: K. Honscheid
Author: D.J. James
Author: K. Kuehn
Author: O. Lahav
Author: S. Lee
Author: Z. Li
Author: M. Madhavacheril
Author: G.A. Marques
Author: J.L. Marshall
Author: J. Mena-Fernández
Author: P. Wiseman ORCID iD
Corporate Author: et al.

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