Active alignment metrology for multi-channel photometric survey telescope

Zhengyang Li, Xiang-yan Yuan, Kaiyuan Zhang, Bo Li
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引用次数: 1

Abstract

The Multi-channel Photometric Survey Telescope (Mephisto) have a 1.6m primary mirror with 1.3 focal ratio, a 2degree field of view. Mephisto is capable of imaging the northern sky in three colors simultaneously. Its 0.7m secondary mirror is quite sensitive for alignment. The field dependent image quality of the misaligned Mephisto optics would be characterized as asymmetric, continuously varying and nonlinear with the misalignments. When the real-time field-PSF is measured from the astronomical images, the residual field-PSF of nominal optical design is defined as the goal of the merit function, the misaligned values of Mephisto secondary mirror can be calculated, by using the PSO (Particle swarm optimization) algorithm. The truth is field-PSF can be numerically expressed with ellipticity of the imaging stars or distribution of the ellipticity. However, for resolving the misalignment values, the stable field-PSF modes are needed, instead of random modes. PCA (Principal component analysis) algorithm is used for eliminating the random perturbations, such as turbulence.
多通道测光望远镜主动对准测量
多通道光度测量望远镜(Mephisto)有一个1.6米的主镜,1.3焦比,2度视场。墨菲斯托能够同时拍摄三种颜色的北方天空。它的0.7米副镜对对准非常敏感。失调的墨菲斯托光学成像质量随失调表现为不对称、连续变化和非线性。在测量天文图像的实时视场psf时,将标称光学设计的残差视场psf定义为功绩函数的目标,利用粒子群优化算法计算Mephisto副镜的不对准值。事实是,场- psf可以用成像恒星的椭圆度或椭圆度的分布进行数值表示。然而,为了解决失调值,需要稳定的场- psf模式,而不是随机模式。采用主成分分析(PCA)算法消除随机扰动,如湍流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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