Optical system for extremely large spectroscopic survey telescope
Ding-qiang Su, Hua Bai, Xiangyan Yuan, Xiangqun Cui

TL;DR
This paper designs a large-aperture, wide-field spectroscopic survey telescope with a pure reflecting optical system and an atmospheric dispersion corrector, achieving the largest etendue and focal surface for such telescopes.
Contribution
It introduces a novel design for a large, wide-field spectroscopic telescope using a four-mirror Nasmyth system with an innovative atmospheric dispersion corrector, enabling larger aperture and field of view.
Findings
Achieved a 2.5° FOV with excellent image quality.
Designed a 12-m telescope scalable to 16-m with maximum etendue.
Developed a subsequent coudé system with high image quality.
Abstract
This article presents research work on a spectroscopic survey telescope. Our idea is as follows: for such a telescope, a pure reflecting optical system is designed, which should have an aperture and a field of view (FOV) both as large as possible and excellent image quality, and then a strip lensm (lens-prism) atmospheric dispersion corrector (S-ADC) is added, only for correcting the atmospheric dispersion. Given the fund limitation and the simplicity of scaling up, some 12-m telescopes are designed as examples. Su, Korsch, and Meinel put forward the four-mirror Nasmyth systems I and II, which are used in this paper. FOVs of 1.5{\deg}, 2{\deg}, and 2.5{\deg} are selected. For all systems, the image qualities are excellent. Because the S-ADC relaxes the optical glass size restriction, this 12-m telescope with a FOV of 2.5{\deg} can be magnified in proportion to a 16-m telescope. Its…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCalibration and Measurement Techniques · Advanced Measurement and Detection Methods · Infrared Target Detection Methodologies
