Telescope Alignment Method Using a Modified Stochastic Parallel Gradient Descent Algorithm

被引：0
|
作者：
Li, Min [1 ,2 ,3 ]
Liu, Xin [3 ,4 ]
Zhang, Junbo [1 ,2 ,3 ]
Xian, Hao [1 ,2 ,3 ,4 ]
机构：
[1] Natl Lab Adapt Opt, Chengdu 610209, Peoples R China
[2] Chinese Acad Sci, Key Lab Adapt Opt, Chengdu 610209, Peoples R China
[3] Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Peoples R China
[4] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
来源：
PHOTONICS | 2024年 / 11卷 / 11期
基金：
中国国家自然科学基金;
关键词：
telescope alignment; wavefront sensorless method; Adam SPGD algorithm; multi-field alignment; high precision; ERROR;
D O I：
10.3390/photonics11110993
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
To satisfy the demands of high image quality and resolutions, telescope alignment is indispensable. In this paper, a wavefront sensorless method based on a modified stochastic parallel gradient descent algorithm (SPGD) called the adaptive moment estimation SPGD (Adam SPGD) algorithm is proposed. Simulations are carried out using a four-mirror telescope, whose aperture is 6 m and fields of view are Phi 2 degrees. Three misalignments are shown as examples. Positions of the secondary mirror and third mirror are employed to compensate aberrations. The results show that merit functions and energy distributions of corrected images match with the designed ones. The mean RMS of residual wavefront errors is smaller than lambda/14 (lambda = 0.5 mu m), indicating that the misalignments are well compensated. The results verify the effectiveness of our method.
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收藏
页数：11
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