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Cosmological constraints from the tomographic cross-correlation of DESI Luminous Red Galaxies and Planck CMB lensing

Authors :
Martin White
Rongpu Zhou
Joseph DeRose
Simone Ferraro
Shi-Fan Chen
Nickolas Kokron
Stephen Bailey
David Brooks
Juan García-Bellido
Julien Guy
Klaus Honscheid
Robert Kehoe
Anthony Kremin
Michael Levi
Nathalie Palanque-Delabrouille
Claire Poppett
David Schlegel
Gregory Tarle
UAM. Departamento de Física Teórica
Source :
Journal of Cosmology and Astroparticle Physics, vol 2022, iss 02
Publication Year :
2022
Publisher :
IOP Publishing, 2022.

Abstract

We use luminous red galaxies selected from the imaging surveys that are being used for targeting by the Dark Energy Spectroscopic Instrument (DESI) in combination with CMB lensing maps from the Planck collaboration to probe the amplitude of large-scale structure over $0.4\le z\le 1$. Our galaxy sample, with an angular number density of approximately $500\,\mathrm{deg}^{-2}$ over 18,000 sq.deg., is divided into 4 tomographic bins by photometric redshift and the redshift distributions are calibrated using spectroscopy from DESI. We fit the galaxy autospectra and galaxy-convergence cross-spectra using models based on cosmological perturbation theory, restricting to large scales that are expected to be well described by such models. Within the context of $\Lambda$CDM, combining all 4 samples and using priors on the background cosmology from supernova and baryon acoustic oscillation measurements, we find $S_8=\sigma_8(\Omega_m/0.3)^{0.5}=0.73\pm 0.03$. This result is lower than the prediction of the $\Lambda$CDM model conditioned on the Planck data. Our data prefer a slower growth of structure at low redshift than the model predictions, though at only modest significance.<br />Comment: 44 pages, 16 figures. Matches version accepted by journal: more details on analysis, updated references, link to data added

Details

Language :
English
Database :
OpenAIRE
Journal :
Journal of Cosmology and Astroparticle Physics, vol 2022, iss 02
Accession number :
edsair.doi.dedup.....d3667aae220186f81d0b5f536285fa44