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Estimating a reliable covariance matrix for correlation functions of galaxiesis a crucial task to obtain accurate cosmological constraints from galaxysurveys. We generate 2,000 independent lightcone mock luminous red galaxy(LRGs) catalogues at $0.3 \leq z \leq 1.25$, designed to cover CAMIRA LRGsobserved by the Subaru Hyper Suprime-Cam Subaru Strategic Programme (HSC SSP).We first produce full-sky lightcone halo catalogues using a COmoving LagrangianAcceleration (COLA) technique, and then trim them to match the footprints ofthe HSC SSP S20A Wide layers. The mock LRGs are subsequently populated onto thetrimmed halo catalogues according to the halo occupation distribution modelconstrained by the observed CAMIRA LRGs. The stellar mass ($M_{\star}$) isassigned to each LRG by the subhalo abundance-matching technique using theobserved stellar-mass functions of CAMIRA LRGs. We evaluate photometricredshifts (photo-$z$) of mock LRGs by incorporating the photo-$z$ scatter,which is derived from the observed $M_{\star}$--photo-$z$-scatter relations ofthe CAMIRA LRGs. We validate the constructed full-sky halo and lightcone LRGmock catalogues by comparing their angular clustering statistics (i.e., powerspectra and correlation functions) with those measured from the halo cataloguesof full $N$-body simulations and the CAMIRA LRG catalogues from the HSC SSP,respectively. We detect clear signatures of baryon acoustic oscillations (BAOs)from our mock LRGs, whose angular scales are well consistent with theoreticalpredictions. These results demonstrate that our mock LRGs can be used toevaluate covariance matrices at large scales and provide predictions for theBAO detectability and cosmological constraints.

Mock Observatory: two thousand lightcone mock catalogues of luminous red  galaxies from the Hyper Suprime-Cam Survey for the cosmological large-scale  analysis