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Spherical aberration-based compensation method for narcissus.pdf (2.09 MB)

Spherical aberration-based compensation method for narcissus

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posted on 2023-07-31, 10:39 authored by Lei Li, Xing Zhong, Zheng Qu, Guangqing Xia, Yuanhang Wang, Chaoli Zeng
The current narcissus optimization method can only reduce the magnitude of the narcissus under the premise of meeting the imaging quality requirements, and the optimized narcissus is still large. This paper proposes a spherical aberration-based compensation method for narcissus to eliminate narcissus without affecting image quality. Starting from the spherical aberration model of the optical system, the relationship between the spherical aberration of the front and rear surfaces of the lens and yni is obtained, since then the narcissus is linked to the spherical aberration of the optical system. After that, it is known from the definition of spherical aberration that the spherical aberration varies quadratically with the incident height, so the radiometric difference between the center and the edge of the image plane will be generated, and the narcissus-induced temperature difference (NITD) is generated by this radiometric difference. The positive and negative of the spherical aberration determines the positive and negative of the NITD, and the optimization of the spherical aberration results in a system with the NITD close to zero, enabling narcissus compensation. Finally, the total NITD is reduced to 0.0007 K after narcissus compensation. Compared with the conventional narcissus optimization method, the total NITD is reduced by more than a hundred times, which shows that the spherical aberration-based compensation method for narcissus can effectively suppress narcissus.

History

Funder Name

National Key Research and Development Program of China (2019YFE0127000); National Natural Science Foundation of China (12275044,12175032,12102082,12211530449); National Key R&D Program of China (2020YFC2201100,2021YFE0116000); Fundamental Research Funds for the Central Universities (DUT22QN232)

Preprint ID

107728

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