README.md

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 * @Author: Zhang Xin zhangx@bao.ac.cn
 * @Date: 2024-11-06 02:03:10
 * @LastEditors: Zhang Xin zhangx@bao.ac.cn
 * @LastEditTime: 2024-11-06 02:10:26
 * @FilePath: /superSim_git/README.md
 * @Description: 这是默认设置,请设置`customMade`, 打开koroFileHeader查看配置 进行设置: https://github.com/OBKoro1/koro1FileHeader/wiki/%E9%85%8D%E7%BD%AE
-->
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*1(CSST wide-field Survy) and 250s*8(CSST deep Survey). And you can download the mock data from
link: https://pan.baidu.com/s/1GunqQcChbeqbf6gEf9L5pw?pwd=qvuy extract code: qvuy