The halo model with beyond-linear halo bias: unbiasing cosmological constraints from galaxy-galaxy lensing and clustering

Abstract

We determine the error introduced in a joint halo model analysis of galaxy-galaxy lensing and galaxy clustering observables when adopting the standard approximation of linear halo bias. Considering the Kilo-Degree Survey, we forecast that ignoring the non-linear halo bias would result in up to 5$\sigma$ offsets in the recovered cosmological parameters describing structure growth, $S_8$, and the matter density parameter, ${\Omega }_{\mathrm{m}}$. We include the scales $10^{-1.3}<r_{\mathrm{p}}/h^{-1}\mathrm{Mpc}<10$ in the data vector, and the direction of these offsets are shown to depend on the freedom afforded to the halo model through other nuisance parameters. We conclude that a beyond-linear halo bias correction must therefore be included in future cosmological halo model analyses of large-scale structure observables on non-linear scales.

v2: Version accepted in MNRAS. Minor clarifications and added robustness test, conclusions unchanged

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• HYMALAIA: A Hybrid Lagrangian Model for Intrinsic Alignments
• An Empirical Model For Intrinsic Alignments: Insights From Cosmological Simulations
• Cosmological constraints from galaxy clustering and galaxy-galaxy lensing with extended SubHalo Abundance Matching
• Intrinsic alignment from multiple shear estimates: A first application to data and forecasts for Stage IV
• 6x2pt: Forecasting gains from joint weak lensing and galaxy clustering analyses with spectroscopic-photometric galaxy cross-correlations
• Challenges of standard halo models in constraining galaxy properties from CIB anisotropies