Description
Joint one-point analyses of weak lensing and galaxy clustering under the reign of systematics
Next-generation galaxy surveys will provide vast datasets to improve our understanding of the Universe once we extract the maximum information content. However, the late-time matter distribution is non-Gaussian, limiting the information captured by two-point statistics. To fully exploit the cosmological signal, it is essential to incorporate beyond two-point statistics, such as one-point probability distribution functions (PDFs). One-point statistics capture key non-Gaussian information from galaxy clustering, and their combination with weak lensing offers a powerful way to jointly constrain galaxy bias and cosmology. In particular, the weak lensing convergence PDF is sensitive to the physics of the dark Universe, including dark matter and dark energy. Crucially, neglecting systematic effects such as shape noise, intrinsic alignments, photometric redshift errors, and mass-mapping can lead to biased cosmological parameter estimates. In the talk, I will present our analysis using the theoretical modelling of joint weak lensing–galaxy clustering PDF, focusing on the inclusion of systematic effects in a tomographic framework. Our approach is validated using lensing and clustering catalogues from N-body simulations that replicate the characteristics of Stage-IV galaxy surveys, paving the way toward robust cosmological inference with next-generation data.
