MCI: Multi-Channel Imager on the Chinese Space Station Survey Telescope
Abstract
The Multi-Channel Imager (MCI) is a powerful near-ultraviolet (NUV) and visible imager onboard the Chinese Space Station Survey Telescope (CSST). The MCI provides three imaging channels, which are the NUV channel, the Blue channel and the Red channel, with the wavelength range of 255-430 nm, 430-700 nm, and 700-1000 nm, respectively. MCI's three channels can target the same field simultaneously, which is unique compared to other imagers onboard the Hubble Space Telescope (HST) or the James Webb Space Telescope (JWST). Each channel employs a CCD focal plane of 9216 x 9232 pixels and 7\arcmin.5 x 7\arcmin.5 field of view (FOV), which are about times greater than the FOVs of HST imagers. The MCI's three channels feature unprecedented sensitivities and field of views complement the NUV and visible capabilities of the CSST for high-precision photometry and weak-signal detection, which would help build a new standard-star system and the deepest UV-Optical exposures for CSST. Rich filter sets of MCI would help explore other sciences such as local emission line mapping, high-z Ly emitters searching, etc. Here we present key design features, results of current ground tests, and suggested observing strategies of the MCI.
Keywords
Cite
@article{arxiv.2509.14691,
title = {MCI: Multi-Channel Imager on the Chinese Space Station Survey Telescope},
author = {Zhen-Ya Zheng and Chun Xu and Xiaohua Liu and Yong-He Chen and Fang Xu and Hu Zhan and Xinfeng Li and Lixin Zheng and Huanyuan Shan and Jing Zhong and Zhaojun Yan and Fang-Ting Yuan and Chunyan Jiang and Xiyan Peng and Wei Chen and Xue Cheng and Zhen-Lei Chen and Shuairu Zhu and Lin Long and Xin Zhang and Yan Gong and Li Shao and Wei Wang and Tianyi Zhang and Guohao Ju and Chenghao Li and Wei Wang and Zhiyuan Li and Tao Wang and Junfeng Wang and Chengyuan Li and Bin Ma and Jianguo Wang and Lei Wang and Dezi Liu and Nie Lin and Kexin Li and Xinrong Wen and Maochun Wu and Ruqiu Lin and Xiang Ji},
journal= {arXiv preprint arXiv:2509.14691},
year = {2025}
}
Comments
13 pages, 6 figures, 3 tables