English

Mock Observations for the CSST Mission: Main Surveys -- the Mock Catalogue

Instrumentation and Methods for Astrophysics 2025-11-17 v1 Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Solar and Stellar Astrophysics

Abstract

The Chinese Space Station Survey Telescope (CSST) is a flagship space mission, designed to carry out a large-area sky survey to explore the nature of dark matter and dark energy in the Universe. The onboard multi-band imaging and slitless spectroscopic modules will enable us to obtain photometric data for billions of galaxies and stars, as well as hundreds of millions of spectroscopic measurements, advancing various scientific analyses such as galaxy clustering and weak gravitational lensing. To support the image simulations for the main survey of the CSST mission, we present a mock catalogue of stars and galaxies. For stars, the mock catalogue is generated using either Galaxia or TRILEGAL, both of which provide a range of stellar properties to meet the requirements of CSST image simulations. For galaxies, we built a mock light-cone up to redshift z~3.5 from the cosmological Nbody simulation and populated the mock galaxy catalogue from the dark mater haloes using a semi-analytical galaxy formation model. We then performed a full-sky ray-tracing simulation of weak gravitational lensing to obtain lensing shear at the position of each galaxy in the light-cone. To support both multi-band imaging and slitless spectroscopic simulations, we computed the spectral energy distribution (SED) for each galaxy based on its star formation history using a supervised deep-learning model and determined the magnitudes in each band using the CSST throughputs. Finally, the properties of our mock galaxies include positions, redshifts, stellar masses, shapes, sizes, SEDs, lensing shears and magnifications. We have validated our mock catalogue against observational data and theoretical models, with results showing good overall agreement. The catalogue provides a flexible dataset for the development of CSST image processing and can support a wide range of cosmological analyses within the CSST mission.

Keywords

Cite

@article{arxiv.2511.10805,
  title  = {Mock Observations for the CSST Mission: Main Surveys -- the Mock Catalogue},
  author = {Cheng-Liang Wei and Yu Luo and Hao Tian and Ming Li and Yi-Sheng Qiu and Guo-Liang Li and Yue-Dong Fang and Xin Zhang and De-Zi Liu and Nan Li and Ran Li and Huan-Yuan Shan and Lin Nie and Zizhao He and Lei Wang and Xi Kang and Dongwei Fan and Yang Chen and Xiaoting Fu and Chao Liu},
  journal= {arXiv preprint arXiv:2511.10805},
  year   = {2025}
}

Comments

17 pages, 17 figures, accepted in RAA. Our mock catalog is available upon request