Euclid: Exploring observational systematics in cluster cosmology -- a comprehensive analysis of cluster counts and clustering

Abstract

This study explores the impact of observational and modelling systematic effects on cluster number counts and cluster clustering and provides model prescriptions for their joint analysis, in the context of the \Euclid survey. Using 1000 \Euclid-like cluster catalogues, we investigate the effect of systematic uncertainties on cluster summary statistics and their auto- and cross-covariance, and perform a likelihood analysis to evaluate their impact on cosmological constraints, with a focus on the matter density parameter ${\Omega }_{\mathrm{m}}$ and on the power spectrum amplitude ${\sigma }_8$. Combining cluster clustering with number counts significantly improves cosmological constraints, with the figure of merit increasing by over 300\% compared to number counts alone. We confirm that the two probes are uncorrelated, and the cosmological constraints derived from their combination are almost insensitive to the cosmology dependence of the covariance. We find that photometric redshift uncertainties broaden cosmological posteriors by 20--30\%, while secondary effects like redshift-space distortions (RSDs) have a smaller impact on the posteriors -- 5\% for clustering alone, 10\% when combining probes -- but can significantly bias the constraints if neglected. We show that clustering data below $60h^{-1}$Mpc provides additional constraining power, while scales larger than acoustic oscillation scale add almost no information on ${\Omega }_{\mathrm{m}}$ and ${\sigma }_8$ parameters. RSDs and photo-$z$ uncertainties also influence the number count covariance, with a significant impact, of about 15--20\%, on the parameter constraints.

16 pages, 14 figures

References in corpus (44)

• Planck 2013 results. XVI. Cosmological parameters
• Cosmological Parameters from Observations of Galaxy Clusters
• Chandra Cluster Cosmology Project III: Cosmological Parameter Constraints
• Formation of Galaxy Clusters
• Euclid. I. Overview of the Euclid mission
• PolyChord: nested sampling for cosmology
• Statistical Analysis of Galaxy Surveys - I. Robust error estimation for 2-point clustering statistics
• Weighing the Giants IV: Cosmology and Neutrino Mass
• Power Spectrum Super-Sample Covariance
• Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances and Weak Lensing
• The IR-resummed Effective Field Theory of Large Scale Structures
• Self Calibration in Cluster Studies of Dark Energy: Combining the Cluster Redshift Distribution, the Power Spectrum and Mass Measurements
• Equivalence Principle and the Baryon Acoustic Peak
• Putting the Precision in Precision Cosmology: How accurate should your data covariance matrix be?
• The Effect of Covariance Estimator Error on Cosmological Parameter Constraints
• Next Generation Cosmology: Constraints from the Euclid Galaxy Cluster Survey
• The REFLEX Galaxy Cluster Survey VII: Omega_m and sigma_8 from cluster abundance and large-scale clustering
• Dark Energy Survey Year 1 Results: Methods for Cluster Cosmology and Application to the SDSS
• A 2% Distance to z=0.35 by Reconstructing Baryon Acoustic Oscillations - II: Fitting Techniques
• X-ray Temperatures for the EMSS High Redshift Cluster Sample: Constraints on Cosmology and the Dark Energy Equation of State
• The SRG/eROSITA all-sky survey: Cosmology constraints from cluster abundances in the western Galactic hemisphere
• Cosmological Constraints from DES Y1 Cluster Abundances and SPT Multi-wavelength data
• The Correlation Function of Optically Selected Galaxy Clusters in the Sloan Digital Sky Survey
• AMICO galaxy clusters in KiDS-DR3: sample properties and selection function
• Modeling projection effects in optically-selected cluster catalogues
• AMICO galaxy clusters in KiDS-DR3: cosmological constraints from counts and stacked weak-lensing
• CosmoBolognaLib: C++ libraries for cosmological calculations
• Improving fast generation of halo catalogs with higher-order Lagrangian perturbation theory
• Cosmological discordances: a new measure, marginalization effects, and application to geometry vs growth current data sets
• Shrinkage Estimation of the Power Spectrum Covariance Matrix
• Combining clustering and abundances of galaxy clusters to test cosmology and primordial non-Gaussianity
• An improved measurement of baryon acoustic oscillations from the correlation function of galaxy clusters at $z\sim 0.3$
• The XXL Survey: XVI. The clustering of X-ray selected galaxy clusters at z~0.3
• Large Covariance Matrices: Smooth Models from the 2-Point Correlation Function
• New constraints on ${\sigma }_8$ from a joint analysis of stacked gravitational lensing and clustering of galaxy clusters
• Cosmology with clustering anisotropies: disentangling dynamic and geometric distortions in galaxy redshift surveys
• Cosmological constraints from abundance, weak-lensing and clustering of galaxy clusters: application to the SDSS
• Euclid: Effect of sample covariance on the number counts of galaxy clusters
• Fitting covariance matrix models to simulations
• Testing the accuracy of likelihoods for cluster abundance cosmology
• Euclid Quick Data Release (Q1). First detections from the galaxy cluster workflow
• AMICO galaxy clusters in KiDS-1000: cosmological constraints and mass calibration from counts and weak lensing
• On the tomographic cluster clustering as a cosmological probe
• On the Robustness of Cluster Clustering Covariance Calibration

Cited by in corpus (1)

• The Hydrostatic Mass Bias and the ${\sigma }_8$ Tension: A Multi-Probe Forecast for Stage-IV/V Surveys