DESI Legacy Imaging Surveys Data Release 9: Cosmological Constraints from Galaxy Clustering and Weak Lensing using the Minimal Bias Model

Abstract

We present a tentative constraint on cosmological parameters ${\Omega }_m$ and ${\sigma }_8$ from a joint analysis of galaxy clustering and galaxy-galaxy lensing from DESI Legacy Imaging Surveys Data Release 9 (DR9), covering approximately 10000 square degrees and spanning the redshift range of 0.1 to 0.9. To study the dependence of cosmological parameters on lens redshift, we divide lens galaxies into seven approximately volume-limited samples, each with an equal width in photometric redshift. To retrieve the intrinsic projected correlation function $w_{\mathrm{p}}(r_{\mathrm{p}})$ from the lens samples, we employ a novel method to account for redshift uncertainties. Additionally, we measured the galaxy-galaxy lensing signal $\Delta \Sigma (r_{\mathrm{p}})$ for each lens sample, using source galaxies selected from the shear catalog by applying our \texttt{Fourier\_Quad} pipeline to DR9 images. We model these observables within the flat $\Lambda$CDM framework, employing the minimal bias model. To ensure the reliability of the minimal bias model, we apply conservative scale cuts: $r_{\mathrm{p}}>8$ and $12h^{-1}\mathrm{Mpc}$, for $w_{\mathrm{p}}(r_{\mathrm{p}})$ and $\Delta \Sigma (r_{\mathrm{p}})$, respectively. Our findings suggest a mild tendency that $S_8\equiv {\sigma }_8\sqrt{{\Omega }_m/0.3}$ increases with lens redshift, although this trend is only marginally significant. When we combine low redshift samples, the value of $S_8$ is determined to be $0.84\pm 0.02$, consistent with the Planck results but significantly higher than the 3$\times$ 2pt analysis by 2-5$\sigma$. Despite the fact that further refinements in measurements and modeling could improve the accuracy of our results, the consistency with standard values demonstrates the potential of our method for more precise and accurate cosmology in the future.

slightly different with the published version

References in corpus (17)

• K-corrections and filter transformations in the ultraviolet, optical, and near infrared
• Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix
• Calibrating Redshift Distributions Beyond Spectroscopic Limits with Cross-Correlations
• The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: Observational systematics and baryon acoustic oscillations in the correlation function
• Lensing is Low: Cosmology, Galaxy Formation, or New Physics?
• A 2.5% measurement of the growth rate from small-scale redshift space clustering of SDSS-III CMASS galaxies
• Estimating the Redshift Distribution of Faint Galaxy Samples
• Corrfunc --- A Suite of Blazing Fast Correlation Functions on the CPU
• The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Large-scale Structure Catalogs for Cosmological Analysis
• CFHTLenS: Cosmological constraints from a combination of cosmic shear two-point and three-point correlations
• Magnification bias in galaxy surveys with complex sample selection functions
• Halo Properties and Mass Functions of Groups/Clusters from the DESI Legacy Imaging Surveys DR9
• hankel: A Python library for performing simple and accurate Hankel transformations
• Shear Measurement with Poorly Resolved Images
• KiDS-1000: cross-correlation with Planck cosmic microwave background lensing and intrinsic alignment removal with self-calibration
• Avoiding the Geometric Boundary Effect in Shear Measurement
• Is the large-scale structure traced by the BOSS LOWZ galaxies consistent with $\text{Planck}$?

Cited by in corpus (8)

• Improving Constraint on ${\Omega }_m$ from SDSS Using Marked Correlation Functions
• Peculiar Velocity Reconstruction From Simulations and Observations Using Deep Learning Algorithms
• Quasi-2D Weak Lensing Cosmological Constraints Using the PDF-SYM method
• Tele-Correlation: Calibrating Shear-Shear Correlation with Real Data
• Challenges in Cosmic Magnification Reconstruction by Magnification Response
• Reconstructing redshift distributions with photometric galaxy clustering
• Gamma Analytical Modeling Evolution (GAME) I: The physical implications of deriving the stellar mass functions from z=0 to z=8
• Improving Photometric Galaxy Clustering Constraints With Cross-Bin Correlations