Cosmology from the integrated shear 3-point correlation function: simulated likelihood analyses with machine-learning emulators

This paper is about preparing the statistical inference pipeline and modeling the survey systematic effects for the so called integrated shear 3-point correlation function for the Dark Energy Survey Year3 (DESY3) lensing data. This particular statistic can be used to extract cosmological information beyond Gaussianity and therefore improve the constraints on cosmological parameters when combined with the conventional 2-point correlation functions. We used the state-of-the-art emulator to speed up our theoretical calculation and exploited affine sampling on GPU to accelerate the MCMC process.