The imprint of cosmic voids from the DESI Legacy Survey DR9 Luminous Red Galaxies in the <i>Planck</i> 2018 lensing map through spectroscopically calibrated mocks

The cross-correlation of cosmic voids with the lensing convergence ( κ ) map of the Cosmic Microwave Background (CMB) fluctuations provides a powerful tool to refine our understanding of the current cosmological model. However, several studies have reported a moderate tension (up to ∼2 σ ) between the lensing imprint of cosmic voids on the observed CMB and the ΛCDM signal predicted by simulations. To address this “lensing-is-low” tension and to obtain new, precise measurements of the signal, we exploit the large DESI Legacy Survey Luminous Red Galaxy (LRG) data set, covering approximately 19 500 deg 2 of the sky and including about 10 million LRGs at z &lt; 1.05. Our ΛCDM template was created using the Buzzard mocks, which we specifically calibrated to match the clustering properties of the observed galaxy sample by exploiting more than one million DESI spectra. We identified our catalogs of 3D voids in the range 0.35 &lt; z &lt; 0.95 and cross-correlated them through a stacking methodology, dividing the sample into bins according to the redshift and λ v values of the voids. For the full void sample, we report a 14 σ detection of the lensing signal, with A κ = 1.016 ± 0.054, which increases to 17 σ when considering the void-in-void ( A κ = 0.944 ± 0.064) and the void-in-cloud ( A κ = 0.975 ± 0.060) populations individually, the highest detection significance for studies of this kind. We observe a full agreement between observations and ΛCDM mocks across all redshift bins, sky regions, and void populations considered. In addition to these findings, our analysis highlights the importance of accurately matching sparseness and redshift error distributions between mocks and observations, as well as the role of λ v in enhancing the signal-to-noise ratio through void population discrimination.

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Journal
Astronomy and Astrophysics
Published
2025-06-02
DOI
https://doi.org/10.1051/0004-6361/202453562
Citations
1
Primary Topic
Astronomy and Astrophysical Research
Type
article
Field-Weighted Citation Impact
1.19
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article

The imprint of cosmic voids from the DESI Legacy Survey DR9 Luminous Red Galaxies in the Planck 2018 lensing map through spectroscopically calibrated mocks

D. Kirkby, András Kovács, J. DeRose, G Rossi et al.
1 citations
Astronomy and Astrophysics
Astronomy and Astrophysical Research
1.19
article

The imprint of cosmic voids from the DESI Legacy Survey DR9 Luminous Red Galaxies in the Planck 2018 lensing map through spectroscopically calibrated mocks

D. Kirkby, András Kovács, J. DeRose, G Rossi, N. Palanque‐Delabrouille, Jeffrey A. Newman, Gregory Tarlé, R. Miquel, David Sprayberry, E. Sanchez, M. Landriau, D. Bianchi, Ignasi Pérez-Ràfols, Axel de la Macorra, B. A. Weaver, S. Ahlen, M. E. Levi, S. Escoffier, Gaston Gutierrez, Satya Gontcho A Gontcho, D. Brooks, T. Kisner, J. Garcia-Bellido, J. E. Forero-Romero, P Vielzeuf, Aaron Meisner, K. Honscheid, R. Kehoe, John Moustakas, M.-C. Cousinou, T. Claybaugh, E. Burtin, F. Prada, Sabrina Sartori
article en
1 citations

Abstract

The cross-correlation of cosmic voids with the lensing convergence ( κ ) map of the Cosmic Microwave Background (CMB) fluctuations provides a powerful tool to refine our understanding of the current cosmological model. However, several studies have reported a moderate tension (up to ∼2 σ ) between the lensing imprint of cosmic voids on the observed CMB and the ΛCDM signal predicted by simulations. To address this “lensing-is-low” tension and to obtain new, precise measurements of the signal, we exploit the large DESI Legacy Survey Luminous Red Galaxy (LRG) data set, covering approximately 19 500 deg 2 of the sky and including about 10 million LRGs at z &lt; 1.05. Our ΛCDM template was created using the Buzzard mocks, which we specifically calibrated to match the clustering properties of the observed galaxy sample by exploiting more than one million DESI spectra. We identified our catalogs of 3D voids in the range 0.35 &lt; z &lt; 0.95 and cross-correlated them through a stacking methodology, dividing the sample into bins according to the redshift and λ v values of the voids. For the full void sample, we report a 14 σ detection of the lensing signal, with A κ = 1.016 ± 0.054, which increases to 17 σ when considering the void-in-void ( A κ = 0.944 ± 0.064) and the void-in-cloud ( A κ = 0.975 ± 0.060) populations individually, the highest detection significance for studies of this kind. We observe a full agreement between observations and ΛCDM mocks across all redshift bins, sky regions, and void populations considered. In addition to these findings, our analysis highlights the importance of accurately matching sparseness and redshift error distributions between mocks and observations, as well as the role of λ v in enhancing the signal-to-noise ratio through void population discrimination.

Astronomy and AstrophysicsVol. 700
Boston University (US), Institució Catalana de Recerca i Estudis Avançats (ES), Universidad Complutense de Madrid (ES), Centre National de la Recherche Scientifique (FR), Fermi National Accelerator Laboratory (US), Lawrence Berkeley National Laboratory (US), Universidad de Los Andes (CO), University of Pittsburgh (US), Southern Methodist University (US), Institute for High Energy Physics (ES), University of Milan (IT), Brookhaven National Laboratory (US), University of California, Irvine (US), Aix-Marseille Université (FR), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), University of Michigan (US), Konkoly Observatory (HU), Sejong University (KR), CEA Paris-Saclay (FR), Community Science and Data Center (US), NSF NOIRLab (US), Instituto de Astrofísica de Andalucía (ES), Institut de Recherche sur les Lois Fondamentales de l'Univers (FR), Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES), University College London (GB), The Ohio State University (US), Universidad Autónoma de Madrid (ES), Universidad Nacional Autónoma de México (MX), Siena College (US), Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 20%
Astronomy and Astrophysical Research
1.19
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