The University of Southampton
University of Southampton Institutional Repository

The gravitational lensing imprints of des Y3 superstructures on the CMB: a matched filtering approach

The gravitational lensing imprints of des Y3 superstructures on the CMB: a matched filtering approach
The gravitational lensing imprints of des Y3 superstructures on the CMB: a matched filtering approach

Low-density cosmic voids gravitationally lens the cosmic microwave background (CMB), leaving a negative imprint on the CMB convergence. This effect provides insight into the distribution of matter within voids, and can also be used to study the growth of structure. We measure this lensing imprint by cross-correlating the Planck CMB lensing convergence map with voids identified in the Dark Energy Survey Year 3 (DES Y3) data set, covering approximately 4200 deg of the sky. We use two distinct void-finding algorithms: a 2D void-finder that operates on the projected galaxy density field in thin redshift shells, and a new code, Voxel, which operates on the full 3D map of galaxy positions. We employ an optimal matched filtering method for cross-correlation, using the Marenostrum Institut de Ciències de l'Espai N-body simulation both to establish the template for the matched filter and to calibrate detection significances. Using the DES Y3 photometric luminous red galaxy sample, we measure, the amplitude of the observed lensing signal relative to the simulation template, obtaining (significance) for Voxel and (significance) for 2D voids, both consistent with Lambda cold dark matter expectations. We additionally invert the 2D void-finding process to identify superclusters in the projected density field, for which we measure (significance). The leading source of noise in our measurements is Planck noise, implying that data from the Atacama Cosmology Telescope, South Pole Telescope and CMB-S4 will increase sensitivity and allow for more precise measurements.

cosmic background radiation, cosmological parameters, cosmology: observations, gravitational lensing: weak, large-scale structure of Universe
0035-8711
2328-2343
Demirbozan, U.
1ebd8ae1-bf3d-41f8-9dd9-03e57abba310
Nadathur, S.
7d6ccb06-9887-459e-85da-8650418aa16d
Ferrero, I.
7a160745-4d2d-449f-8a7c-d131841aff3b
Fosalba, P.
7309d371-b57b-4fb5-99f2-1dd419e46285
Kovács, A.
ca91777f-4e63-4067-a167-d0fdc8e7dccc
Miquel, R.
acd92fc5-f50f-4ae0-afe8-01db537b6e36
Davies, C.T.
e08e2c04-1ad2-4659-a629-75a9cbb9a4a8
Pandey, S.
4d2b5f9f-5397-4f0c-96fc-23a21f623093
Adamow, M.
822bbd0a-dccb-426e-8b54-db91afe0ccd3
Bechtol, K.
3af8a626-6469-4496-8a1b-dce608208b6d
Drlica-Wagner, A.
d47129ae-3b89-4fca-bab4-8b4019b1da05
Gruendl, R.A.
81783218-3c05-4a4a-8f7b-d123d50ba027
Hartley, W.G.
f8388551-09ca-4c65-88ea-e0f5d9090d2d
Pieres, A.
2a583c4b-d1e7-45d3-8841-2a961f7ecad9
Ross, A.J.
8c63a7a3-638d-4f3d-954b-dd35a25a79a2
Rykoff, E.S.
1f2c7914-3f30-4c15-aee5-8e7bb851d025
Sheldon, E.
34fc88df-f247-4b45-bf17-5b46f8abf5c5
Yanny, B.
84056e28-ba6b-4151-99ba-ee9cf635e9fc
Abbott, T.M.C.
6f8d6668-e398-476c-91e9-6efc26de9497
Aguena, M.
5a2ce5af-bd27-4b44-a1c0-d4ea339a59b2
Allam, S.
ddcc4444-2731-4ed7-b2f0-10dc1b54fa8c
Alves, O.
e62402f5-f92e-45f0-b942-4d413ddf5523
Bacon, D.
3087c37a-6ed3-4b72-9523-7f757fd27043
Bertin, E.
a63c032a-585e-4a22-88be-42054701d901
Bocquet, S.
8a92384f-6e1b-47ac-ba89-a843b73d434b
Brooks, D.
a3c528d9-fb8a-406c-bc92-56eff4985bcf
Rosell, A. Carnero
d66191ef-a014-4029-bfe8-e9b3c653e3be
Carretero, J.
081b0f5d-7e69-469c-a22d-5b851f9b8d1d
Cawthon, R.
511746c8-55f1-4877-b481-d6b6488030e9
Da Costa, L.N.
86f87ccd-7b00-4c91-b33c-c72d77eefb2d
Pereira, M.E.S.
31543982-a9f3-4226-be05-4a7583b27a1b
De Vicente, J.
1f1fcb9a-b7fb-408a-93b1-db0fb3798f5e
Desai, S.
9fb3d948-7af8-43e1-8c9c-a11b6cc376ce
Doel, P.
00d69910-6075-4a52-9c7b-57e947a3b171
Everett, S.
3f079201-305f-481e-9586-d508a48f97d2
Flaugher, B.
cca72cda-37e5-4d1b-a792-c11946615fb5
Friedel, D.
f34fa6dd-dfe2-455d-8df6-e853dc828d58
Frieman, J.
6c34b206-537c-429c-9aeb-5df1d1e5e656
Gatti, M.
be9e1f3e-3cb4-4cc3-9d64-01bc9547d290
Gaztanaga, E.
3a3f63dd-9666-448c-9ec6-10e53fc0dc1a
Giannini, G.
1002ec01-69d4-469f-99ed-b35111553a6e
Gutierrez, G.
78403287-6c1e-4238-9238-06c3a714f5cd
Hinton, S.R.
9e2f00d6-7026-4491-a28e-17d5880f65d1
Hollowood, D.L.
cc89dbc7-a510-41c7-8c1a-f630716ccf56
James, D.J.
80eaf04f-0443-4656-8bc9-e2f3fdace1d1
Jeffrey, N.
51d70871-5a5a-4c9b-b650-2d64ff9417fd
Kuehn, K.
c8275e43-4cd6-44f5-9cce-8475d0e5f7de
Lahav, O.
63be85ca-8350-4ccb-8e4f-efc74baf0198
Smith, M.
8bdc74e1-a37b-434d-ae75-82763109bf7a
Wiseman, P.
865f95f8-2200-46a8-bd5e-3ee30bb44072
et al.
Demirbozan, U.
1ebd8ae1-bf3d-41f8-9dd9-03e57abba310
Nadathur, S.
7d6ccb06-9887-459e-85da-8650418aa16d
Ferrero, I.
7a160745-4d2d-449f-8a7c-d131841aff3b
Fosalba, P.
7309d371-b57b-4fb5-99f2-1dd419e46285
Kovács, A.
ca91777f-4e63-4067-a167-d0fdc8e7dccc
Miquel, R.
acd92fc5-f50f-4ae0-afe8-01db537b6e36
Davies, C.T.
e08e2c04-1ad2-4659-a629-75a9cbb9a4a8
Pandey, S.
4d2b5f9f-5397-4f0c-96fc-23a21f623093
Adamow, M.
822bbd0a-dccb-426e-8b54-db91afe0ccd3
Bechtol, K.
3af8a626-6469-4496-8a1b-dce608208b6d
Drlica-Wagner, A.
d47129ae-3b89-4fca-bab4-8b4019b1da05
Gruendl, R.A.
81783218-3c05-4a4a-8f7b-d123d50ba027
Hartley, W.G.
f8388551-09ca-4c65-88ea-e0f5d9090d2d
Pieres, A.
2a583c4b-d1e7-45d3-8841-2a961f7ecad9
Ross, A.J.
8c63a7a3-638d-4f3d-954b-dd35a25a79a2
Rykoff, E.S.
1f2c7914-3f30-4c15-aee5-8e7bb851d025
Sheldon, E.
34fc88df-f247-4b45-bf17-5b46f8abf5c5
Yanny, B.
84056e28-ba6b-4151-99ba-ee9cf635e9fc
Abbott, T.M.C.
6f8d6668-e398-476c-91e9-6efc26de9497
Aguena, M.
5a2ce5af-bd27-4b44-a1c0-d4ea339a59b2
Allam, S.
ddcc4444-2731-4ed7-b2f0-10dc1b54fa8c
Alves, O.
e62402f5-f92e-45f0-b942-4d413ddf5523
Bacon, D.
3087c37a-6ed3-4b72-9523-7f757fd27043
Bertin, E.
a63c032a-585e-4a22-88be-42054701d901
Bocquet, S.
8a92384f-6e1b-47ac-ba89-a843b73d434b
Brooks, D.
a3c528d9-fb8a-406c-bc92-56eff4985bcf
Rosell, A. Carnero
d66191ef-a014-4029-bfe8-e9b3c653e3be
Carretero, J.
081b0f5d-7e69-469c-a22d-5b851f9b8d1d
Cawthon, R.
511746c8-55f1-4877-b481-d6b6488030e9
Da Costa, L.N.
86f87ccd-7b00-4c91-b33c-c72d77eefb2d
Pereira, M.E.S.
31543982-a9f3-4226-be05-4a7583b27a1b
De Vicente, J.
1f1fcb9a-b7fb-408a-93b1-db0fb3798f5e
Desai, S.
9fb3d948-7af8-43e1-8c9c-a11b6cc376ce
Doel, P.
00d69910-6075-4a52-9c7b-57e947a3b171
Everett, S.
3f079201-305f-481e-9586-d508a48f97d2
Flaugher, B.
cca72cda-37e5-4d1b-a792-c11946615fb5
Friedel, D.
f34fa6dd-dfe2-455d-8df6-e853dc828d58
Frieman, J.
6c34b206-537c-429c-9aeb-5df1d1e5e656
Gatti, M.
be9e1f3e-3cb4-4cc3-9d64-01bc9547d290
Gaztanaga, E.
3a3f63dd-9666-448c-9ec6-10e53fc0dc1a
Giannini, G.
1002ec01-69d4-469f-99ed-b35111553a6e
Gutierrez, G.
78403287-6c1e-4238-9238-06c3a714f5cd
Hinton, S.R.
9e2f00d6-7026-4491-a28e-17d5880f65d1
Hollowood, D.L.
cc89dbc7-a510-41c7-8c1a-f630716ccf56
James, D.J.
80eaf04f-0443-4656-8bc9-e2f3fdace1d1
Jeffrey, N.
51d70871-5a5a-4c9b-b650-2d64ff9417fd
Kuehn, K.
c8275e43-4cd6-44f5-9cce-8475d0e5f7de
Lahav, O.
63be85ca-8350-4ccb-8e4f-efc74baf0198
Smith, M.
8bdc74e1-a37b-434d-ae75-82763109bf7a
Wiseman, P.
865f95f8-2200-46a8-bd5e-3ee30bb44072

Demirbozan, U., Nadathur, S. and Ferrero, I. , et al. (2024) The gravitational lensing imprints of des Y3 superstructures on the CMB: a matched filtering approach. Monthly Notices Of The Royal Astronomical Society, 534 (3), 2328-2343. (doi:10.1093/mnras/stae2206).

Record type: Article

Abstract

Low-density cosmic voids gravitationally lens the cosmic microwave background (CMB), leaving a negative imprint on the CMB convergence. This effect provides insight into the distribution of matter within voids, and can also be used to study the growth of structure. We measure this lensing imprint by cross-correlating the Planck CMB lensing convergence map with voids identified in the Dark Energy Survey Year 3 (DES Y3) data set, covering approximately 4200 deg of the sky. We use two distinct void-finding algorithms: a 2D void-finder that operates on the projected galaxy density field in thin redshift shells, and a new code, Voxel, which operates on the full 3D map of galaxy positions. We employ an optimal matched filtering method for cross-correlation, using the Marenostrum Institut de Ciències de l'Espai N-body simulation both to establish the template for the matched filter and to calibrate detection significances. Using the DES Y3 photometric luminous red galaxy sample, we measure, the amplitude of the observed lensing signal relative to the simulation template, obtaining (significance) for Voxel and (significance) for 2D voids, both consistent with Lambda cold dark matter expectations. We additionally invert the 2D void-finding process to identify superclusters in the projected density field, for which we measure (significance). The leading source of noise in our measurements is Planck noise, implying that data from the Atacama Cosmology Telescope, South Pole Telescope and CMB-S4 will increase sensitivity and allow for more precise measurements.

Text
stae2206 - Version of Record
Available under License Creative Commons Attribution.
Download (2MB)

More information

Accepted/In Press date: 19 September 2024
e-pub ahead of print date: 24 September 2024
Published date: 10 October 2024
Keywords: cosmic background radiation, cosmological parameters, cosmology: observations, gravitational lensing: weak, large-scale structure of Universe

Identifiers

Local EPrints ID: 496343
URI: http://eprints.soton.ac.uk/id/eprint/496343
ISSN: 0035-8711
PURE UUID: 986cddd4-d462-4ffc-bb4c-e7b3abdaab4f
ORCID for M. Smith: ORCID iD orcid.org/0000-0002-3321-1432
ORCID for P. Wiseman: ORCID iD orcid.org/0000-0002-3073-1512

Catalogue record

Date deposited: 12 Dec 2024 17:33
Last modified: 13 Dec 2024 02:53

Export record

Altmetrics

Contributors

Author: U. Demirbozan
Author: S. Nadathur
Author: I. Ferrero
Author: P. Fosalba
Author: A. Kovács
Author: R. Miquel
Author: C.T. Davies
Author: S. Pandey
Author: M. Adamow
Author: K. Bechtol
Author: A. Drlica-Wagner
Author: R.A. Gruendl
Author: W.G. Hartley
Author: A. Pieres
Author: A.J. Ross
Author: E.S. Rykoff
Author: E. Sheldon
Author: B. Yanny
Author: T.M.C. Abbott
Author: M. Aguena
Author: S. Allam
Author: O. Alves
Author: D. Bacon
Author: E. Bertin
Author: S. Bocquet
Author: D. Brooks
Author: A. Carnero Rosell
Author: J. Carretero
Author: R. Cawthon
Author: L.N. Da Costa
Author: M.E.S. Pereira
Author: J. De Vicente
Author: S. Desai
Author: P. Doel
Author: S. Everett
Author: B. Flaugher
Author: D. Friedel
Author: J. Frieman
Author: M. Gatti
Author: E. Gaztanaga
Author: G. Giannini
Author: G. Gutierrez
Author: S.R. Hinton
Author: D.L. Hollowood
Author: D.J. James
Author: N. Jeffrey
Author: K. Kuehn
Author: O. Lahav
Author: M. Smith ORCID iD
Author: P. Wiseman ORCID iD
Corporate Author: et al.

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×