Lensing convergence in galaxy clustering in LambdaCDM and beyond

Abstract

We study the impact of neglecting lensing magnification in galaxy clustering analyses for future galaxy surveys, considering the LambdaCDM model and two extensions: massive neutrinos and modifications of General Relativity. Our study focuses on the biases on the constraints and on the estimation of the cosmological parameters. We perform a comprehensive investigation of these two effects for the upcoming photometric and spectroscopic galaxy surveys Euclid and SKA for different redshift binning configurations. We also provide a fitting formula for the magnification bias of SKA. Our results show that the information present in the lensing contribution does improve the constraints on the modified gravity parameters whereas the lensing constraining power is negligible for the LambdaCDM parameters. For photometric surveys the estimation is biased for all the parameters if lensing is not taken into account. This effect is particularly significant for the modified gravity parameters. Conversely for spectroscopic surveys the bias is below one sigma for all the parameters. Our findings show the importance of including lensing in galaxy clustering analyses for testing General Relativity and to constrain the parameters which describe its modifications.

23 pages, 10 figures

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Cited by in corpus (19)

• Dark Energy in light of Multi-Messenger Gravitational-Wave astronomy
• Euclid preparation: XIX. Impact of magnification on photometric galaxy clustering
• Magnification and evolution biases in large-scale structure surveys
• On the importance of lensing for galaxy clustering in photometric and spectroscopic surveys
• COFFE: a code for the full-sky relativistic galaxy correlation function
• The relativistic dipole and gravitational redshift on LSS
• Optimised angular power spectra for spectroscopic galaxy surveys
• On cosmological bias due to the magnification of shear and position samples in modern weak lensing analyses
• Developing a unified pipeline for large-scale structure data analysis with angular power spectra -- II. A case study for magnification bias and radio continuum surveys
• Ultra-large-scale approximations and galaxy clustering: debiasing constraints on cosmological parameters
• The relativistic galaxy number counts in the weak field approximation
• General Relativistic corrections in density-shear correlations
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• The density distributions of cosmic structures: impact of the local environment on weak-lensing convergence
• Redshift-space distortions from vector perturbations II: Anisotropic signal
• Model-Independent Test for Gravity using Intensity Mapping and Galaxy Clustering
• Lensing convergence and anisotropic dark energy in galaxy redshift surveys
• Cosmological Simulations of Number Counts