Deep neural network based calibration for freeform surface misalignments in general interferometer-Reference-Cited by-同舟云学术

Deep neural network based calibration for freeform surface misalignments in general interferometer

Published:2019-11-04 Issue:23 Volume:27 Page:33709
ISSN:1094-4087
Container-title:Optics Express
language:en
Short-container-title:Opt. Express

Author:

Zhang Lei,Zhou Sheng^ORCID,Li Jingsong,Yu Benli^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

opening project of the Key Laboratory of Astronomical Optics & Technology in Nanjing Institute of Astronomical Optics & Technology of the Chinese Academy of Sciences

opening project of the Anhui Province Key Laboratory of Non-Destructive Evaluation

Doctoral Start-up Foundation of the Anhui University

National Program on Key Research and Development Project of China

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics

Reference38 articles.

1. Mapping distortion correction in freeform mirror testing by computer-generated hologram

2. Design and fabrication of computer-generated holograms for testing optical freeform surfaces

3. Calibration of a non-null test interferometer for the measurement of aspheres and free-form surfaces

4. Measurement investigation of an off-axis aspheric surface via a hybrid compensation method

5. Adaptive null interferometric test using spatial light modulator for free-form surfaces

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