摘要
The Chinese Space Station Survey Telescope(CSST)is a next-generation Stage-IV facility renowned for its wide field of view,high image quality,and multi-band observational capabilities.Among the five instruments onboard the CSST,the Integral Field Spectrograph(IFS)offers the unique ability to simultaneously capture spatial and spectral information across a field of view of no less than 6″×6″.Key advantages of the IFS include a high spatial resolution of 0.2 and a broad spectral coverage from 350 to 1000 nm,making it an ideal instrument for studying physical processes in the vicinity of supermassive black holes within galaxies.To more accurately assess the technical and scientific performance of the CSST-IFS,it is essential to develop a simulation tool that incorporates realistic effects from all optical components.Such a simulation will form an integral part of the CSST-IFS data and pipeline system,enabling the development of the data reduction pipeline well ahead of actual observations.This paper presents an endto-end simulation workflow for the CSST-IFS,incorporating a wide range of instrumental effects that may influence its spectral and imaging performance.The simulation accounts for optical diffraction effects introduced by all components,such as image slicers and slit array,as well as sub-pixel effects from gratings.It also includes various detector noises,frame-shifting effects,and charge-transfer inefficiency.Real observational conditions-such as target Doppler shift,cosmic rays,and other in-orbit operational effects-are also considered.We describe the technical implementation of the simulation and present results that quantitatively characterize key instrument parameters.
基金
support from the Natural Science Foundation of Shanghai(No.22ZR1473000)
the Program of Shanghai Academic Research Leader(No.22XD1404200)
support from the science research grants of the China Manned Space Project(Nos.CMS-CSST-2021-A01,CMS-CSST-2021-A04,CMS-CSST-2025-A18,and CMSCSST-2025-A19)
the National Natural Science Foundation of China(grant Nos.11080922,11973070,11873078,12233005,12573115,and 12533008)
the Program of Shanghai Academic/Technology Research Leader。
