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We use the full-sky ray-tracing weak lensing simulations to generate 2268mock catalogues for the Subaru Hyper Suprime-Cam (HSC) survey first-year shearcatalogue. Our mock catalogues take into account various effects as in the realdata: the survey footprints, inhomogeneous angular distribution of sourcegalaxies, statistical uncertainties in photometric redshift (photo-$z$)estimate, variations in the lensing weight, and the statistical noise in galaxyshape measurements including both intrinsic shapes and the measurement errors.We then utilize our mock catalogues to evaluate statistical uncertaintiesexpected in measurements of cosmic shear two-point correlations $\xi_{\pm}$with tomographic redshift information for the HSC survey. We develop aquasi-analytical formula for the Gaussian sample variance properly taking intoaccount the number of source pairs in the survey footprints. The standardGaussian formula significantly overestimates or underestimates the mock resultsby $50\%$ level. We also show that different photo-$z$ catalogues or the sixdisconnected fields, rather than a consecutive geometry, cause variations inthe covariance by $\sim 5\%$. The mock catalogues enable us to study thechi-square distribution for $\xi_{\pm}$. We find the wider distribution thanthat naively expected for the distribution with the degrees-of-freedom of datavector used. Finally, we propose a method to include non-zero multiplicativebias in mock shape catalogue and show the non-zero multiplicative bias canchange the effective shape noise in cosmic shear analyses. Our results suggestan importance of estimating an accurate form of the likelihood function (andtherefore the covariance) for robust cosmological parameter inference from theprecise measurements.

Mock galaxy shape catalogs in the Subaru Hyper Suprime-Cam Survey