Analysis demonstrates tighter constraints on modified gravity parameters in cosmological data, suggesting significant implications for current and future surveys.
To mitigate the severe information loss arising from widely adopted linear scale cuts in constraints on modified gravity parameterisations with Weak Lensing (WL) and Large-Scale Structure (LSS) data, we introduce a novel alternative method for data reduction. This Principal Component Analysis (PCA)-based framework extracts key features in the matter power spectrum arising from nonlinear effects in a set of representative gravity theories. By performing the analysis in the space of principal components, we can replace sweeping `linear-only' scale cuts with targeted cuts on the transformed data vector, ultimately reducing parameter bias and significantly tightening constraints. We forecast constraints on a minimal parameterised extension to ΛCDM which includes modifications to the growth of structure and lensing of light (ΛCDM+μ₀+Σ₀) using mock Stage-IV data for two simulated cosmologies: the ΛCDM model and Extended Shift Symmetric (ESS) gravity. Under the assumption of a Universe defined by ΛCDM and General Relativity, our method offers constraints on μ₀ a factor of 1.65 tighter than traditional linear-only scale cuts. Crucially, our approach also provides the necessary constraining power to break key degeneracies in modified gravity without relying on fσ₈ measurements, introducing a promising new tool for the analysis of present and future WL and LSS photometric surveys.
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Zanoletti et al. (2025) studied this question.
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