Mock Observations for the CSST Mission: Main Surveys-the Slitless Spectroscopy Simulation
Xin Zhang, Yue-dong Fang, Cheng-liang Wei, Guo-liang Li, Feng-shan Liu, Hang-xin Ji, Hao Tian, Nan Li, Xian-min Meng, Jian-jun Chen, Xia Wang, Rui Wang, Chao Liu, Zhong-wen Hu, Ran Li, Peng Wei, Jing Tang
TL;DR
This work builds a mock CSST slitless spectroscopy framework to accelerate pipeline development in the absence of real data. It combines grating physics (e.g., the grating equation $m \lambda = d (\sin \theta_i \pm \sin \theta_m)$), polynomial spectral representations, and least-squares trajectory fitting to produce multi-order slitless spectra across the CSST bands, enabling evaluation of detection performance and wavelength calibration through mappings between detector coordinates and wavelength via $L_{trace}$ and $\lambda$. The results show that 1st-order spectra are typically accompanied by 0th-order images, with GI providing the best detection efficiency, and quantify the typical wavelength-position mapping accuracy under idealized measurement conditions. The framework and insights lay groundwork for realistic data processing, while planned laboratory calibrations aim to refine the spectral-dispersion models for robust spectroscopic redshift measurements in upcoming CSST surveys.
Abstract
The China Space Station Telescope (CSST), slated to become China's largest space-based optical telescope in the coming decade, is designed to conduct wide-field sky surveys with high spatial resolution. Among its key observational modes, slitless spectral observation allows simultaneous imaging and spectral data acquisition over a wide field of view, offering significant advantages for astrophysical studies. Currently, the CSST is in the development phase and lacks real observational data. As a result, the development of its data processing pipeline and scientific pre-research must rely on the mock data generated through simulations. This work focuses on developing a simulation framework for the CSST slitless spectral imaging system, analyzing its spectral dispersing properties and structural design. Additionally, the detection performance of the slitless spectral system is assessed for various astrophysical targets. Simulation results demonstrate that nearly all 1st order spectra are accompanied by corresponding 0th order images, facilitating accurate source identification. Furthermore, the GI spectral band exhibits superior detection efficiency compared to the GV and GU bands, establishing it as the primary observational band for stellar and galactic studies. This work successfully develops a simulation framework for the CSST slitless spectroscopic equipment.
