Number and Distribution of Fiducial Fibers in a Spectroscopic Survey Telescope

Abstract To date, the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) has been in operation for 12 yr. To improve the telescope's astronomical observation accuracy, the original open-loop fiber positioning system of LAMOST is in urgent need of upgrading. The upgrade plan is t...

Full description

Saved in:
Bibliographic Details
Published inResearch in astronomy and astrophysics Vol. 22; no. 2; pp. 25010 - 25019
Main Authors Duan, Shi-Peng, Zhou, Zeng-Xiang, Zuo, Jia-Le, Li, Meng-Tao, Liu, Zhi-Gang, Hu, Hong-Zhuan, Wang, Jian-Ping, Cui, Xiang-Qun, Zhang, Yong, Zhang, Hao-Tong
Format Journal Article
LanguageEnglish
Published Beijing National Astromonical Observatories, CAS and IOP Publishing 01.02.2022
IOP Publishing
Subjects
Cameras
Control systems
Feedback control
instrumentation: detectors
methods: data analysis
Optical fibers
Particle swarm optimization
Primary mirrors
Sky surveys (astronomy)
Spectroscopic telescopes
Spectroscopy
techniques: image processing
Telescopes
Online AccessGet full text

Cover

More Information
Summary:Abstract To date, the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) has been in operation for 12 yr. To improve the telescope's astronomical observation accuracy, the original open-loop fiber positioning system of LAMOST is in urgent need of upgrading. The upgrade plan is to install several fiber view cameras (FVCs) around primary mirror B to build a closed-loop feedback control system. The FVCs are 20 m from the focal surface. To reduce a series of errors when the cameras detect the positions of the optical fibers, we designed fiducial fibers on the focal surface to be fiducial points for the cameras. Increasing the number of fiducial fibers can improve the detection accuracy of the FVC system, but it will also certainly reduce the number of fiber positioners that can be used for observation. Therefore, the focus of this paper is how to achieve the quantity and distribution that meet the requirements of system detection. In this paper, we introduce the necessity of using fiducial fibers, propose a method for selecting their number and present several methods for assessing the uniformity of their distribution. Finally, we implement particle swarm optimization to find the best distribution of fiducial fibers.
Bibliography:RAA-2021-0205.R2
ISSN:1674-4527
2397-6209
DOI:10.1088/1674-4527/ac3e5c