Redshift evolution and covariances for joint lensing and clustering studies with DESI Y1

• Published in: Monthly notices of the Royal Astronomical Society Vol. 533; no. 1; pp. 589 - 607
• Main Authors: Yuan, Sihan, Blake, Chris, Krolewski, Alex, Lange, Johannes, Elvin-Poole, Jack, Leauthaud, Alexie, DeRose, Joseph, Aguilar, Jessica Nicole, Ahlen, Steven, Beltz-Mohrmann, Gillian, Brooks, David, Claybaugh, Todd, de la Macorra, Axel, Doel, Peter, Emas, Ni Putu Audita Placida, Ferraro, Simone, Forero-Romero, Jaime E, Garcia-Quintero, Cristhian, Gaztañaga, Enrique, Gontcho, Satya Gontcho A, Hadzhiyska, Boryana, Heydenreich, Sven, Honscheid, Klaus, Ishak, Mustapha, Joudaki, Shahab, Jullo, Eric, Kisner, Theodore, Kremin, Anthony, Lambert, Andrew, Landriau, Martin, Manera, Marc, Meisner, Aaron, Miquel, Ramon, Nie, Jundan, Palanque-Delabrouille, Nathalie, Poppett, Claire, Porredon, Anna, Rezaie, Mehdi, Ross, Ashley J, Rossi, Graziano, Ruggeri, Rossana, Sanchez, Eusebio, Saulder, Christoph, Seo, Hee-Jong, Silber, Joseph Harry, Tarlń, Gregory, Vargas-Magaña, Mariana, Weaver, Benjamin Alan, Xhakaj, Enia, Zhou, Zhimin, Zou, Hu
• Format: Journal Article
• Language: English
• Published: London Oxford University Press 01.09.2024; Oxford University Press (OUP): Policy P - Oxford Open Option A
• Subjects: ASTRONOMY AND ASTROPHYSICS; Astrophysics; Bias; Clustering; Covariance; Dark energy; Data analysis; Evolution; Galaxies; galaxies: haloes; large-scale structure of Universe; methods: numerical; methods: statistical; Parameter identification; Physics; Red shift; Samples; Statistical analysis; Systematic errors; methods: statistical; methods: numerical; large-scale structure of Universe; galaxies: haloes
• ISSN: 0035-8711; 1365-2966
• DOI: 10.1093/mnras/stae1792

ABSTRACT Galaxy–galaxy lensing (GGL) and clustering measurements from the Dark Energy Spectroscopic Instrument Year 1 (DESI Y1) data set promise to yield unprecedented combined-probe tests of cosmology and the galaxy–halo connection. In such analyses, it is essential to identify and characterize all relevant statistical and systematic errors. We forecast the covariances of DESI Y1 GGL + clustering measurements and the systematic bias due to redshift evolution in the lens samples. Focusing on the projected clustering and GGL correlations, we compute a Gaussian analytical covariance, using a suite of N-body and lognormal simulations to characterize the effect of the survey footprint. Using the DESI one percent survey data, we measure the evolution of galaxy bias parameters for the DESI luminous red galaxy (LRG) and bright galaxy survey (BGS) samples. We find mild evolution in the LRGs in $0.4 < z < 0.8$, subdominant to the expected statistical errors. For BGS, we find less evolution for brighter absolute magnitude cuts, at the cost of reduced sample size. We find that for a redshift bin width $\Delta z = 0.1$, evolution effects on DESI Y1 GGL is negligible across all scales, all fiducial selection cuts, all fiducial redshift bins. Galaxy clustering is more sensitive to evolution due to the bias squared scaling. Nevertheless the redshift evolution effect is insignificant for clustering above the 1-halo scale of $0.1h^{-1}$ Mpc. For studies that wish to reliably access smaller scales, additional treatment of redshift evolution is likely needed. This study serves as a reference for GGL and clustering studies using the DESI Y1 sample.