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

Year: 2024
Type: article
Abstract: Low-density cosmic voids gravitationally lens the cosmic microwave background (CMB), leaving a negative imprint on the CMB convergence $\kappa$. 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$^2$ 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 $A_\kappa$, the amplitude of the observed lensing signal relative to the simulation template, obtaining $A_\kappa = 1.03 \pm 0.22$ ($4.6\sigma$ significance) for Voxel and $A_\kappa = 1.02 \pm 0.17$ ($5.9\sigma$ 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 $A_\kappa = 0.87 \pm 0.15$ ($5.9\sigma$ 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.
Authors: Demirbozan, U, Nadathur, S, Soares-Santos, M, Fosalba, P, Kovács, A, Miquel, R, Davies, C T, Pandey, S, Adamow, M, Bechtol, K, Drlica-Wagner, A, Gruendl, R A, Hartley, W G, Pieres, A, Ross, A J, Rykoff, E S, Sheldon, E, Yanny, B, Abbott, T M C, Aguena, M, Allam, S, Alves, O, Bacon, D, Bertin, E, Bocquet, S, Brooks, D, Rosell, A Carnero, Carretero, J, Cawthon, R, da Costa, L N, et al
Language: English
Open Access status: green
OpenAlex ID: W6929636438
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