MCI: Multi-channel Imager on the Chinese Space Station Survey Telescope

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Authors: Zhenya Zheng, Chun Xu, Xiaohua Liu, Yonghe Chen, Fang Xu, 虎 詹, Xinfeng Li, Lixin Zheng, Huanyuan Shan, Jing Zhong, Zhaojun Yan, Fang-Ting Yuan
+29 more Chunyan Jiang, Xiyan Peng, Wei Chen, Xue Cheng, Zhenlei Chen, Shuairu Zhu, lin long, Xin Zhang, Yan Gong, Li Shao, Wei Wang, Tianyi Zhang, Guohao Ju, Chenghao Li, Wei Wang, Zhiyuan Li, Tao Wang, Junfeng Wang, Cheng Li, Bin Ma, Jianguo Wang, Lei Wang, Dezi Liu, Nie Lin, Kexin Li, Xinrong Wen, Mao-Chun Wu, Ruqiu Lin, Xiang Ji
Cited by: 3
References: 20

Abstract

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 ranges 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 × 9232 pixels and ∼7 . ′ 5 × 7 . ′ 5 field of view (FOV), which are ≳4 times the FOVs of HST imagers. The MCI’s three channels feature unprecedented sensitivities and FOVs, complementing 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 areas of science such as local emission line mapping, searching for high- z Ly α emitters, etc. Here we present key design features, results of current ground tests, and suggest observing strategies for the MCI.

Fields of Study & Subjects

Photocathodes and Microchannel Plates CCD and CMOS Imaging Sensors Adaptive optics and wavefront sensing

Publication details

Journal / source
Research in Astronomy and Astrophysics
Publisher
IOP Publishing
Volume
26
Issue
5
Pages
055020–055020
Publication date
24 February 2026