1. must install Le Phare, download from https://www.cfht.hawaii.edu/~arnouts/LEPHARE/lephare.html or use lephare_docker 2. modify the config file in the folder config/ 3. run: python run_sim.py config/congfig_galsim.yaml We generate some csst mock data using GOODS-North data as input, include CSST NUV, u, g, r, i, z, y 7 bands mock data.Everay band mock data use the exposure time 150s x 1(CSST wide-field Survy) and 250s x 8(CSST deep Survey). And you can download the mock data from link: https://pan.baidu.com/s/1GunqQcChbeqbf6gEf9L5pw?pwd=qvuy extract code: qvuy