典型文献
Machine Learning for Improving Stellar Image-based Alignment in Wide-field Telescopes
文献摘要：
Stellar images will deteriorate dramatically when the sensitive elements of wide-field survey telescopes are misaligned during an observation,and active alignment is the key technology to maintain the high resolution of wide-field sky survey telescopes.Instead of traditional active alignment based on field-dependent wave front errors,this work proposes a machine learning alignment metrology based on stellar images of the scientific camera,which is more convenient and higher speed.We first theoretically confirm that the pattern of the point-spread function over the field is closely related to the misalignment status,and then the relationships are learned by two-step neural networks.After two-step active alignment,the position errors of misalignment parameters are less than 5 μm for decenter and less than 5"for tip-tilt in more than 90％of the cases.The precise alignment results indicate that this metrology provides a low-cost and high-speed solution to maintain the image quality of wide-field sky survey telescopes during observation,thus implying important significance and broad application prospects.
文献关键词：
中图分类号：
作者姓名：
Zhixu Wu;Yiming Zhang;Rongxin Tang;Zhengyang Li;Xiangyan Yuan;Yong Xia;Hua Bai;Bo Li;Zhou Chen;Xiangqun Cui;Xiaohua Deng
作者机构：
Institute of Space Science and Technology,Nanchang University,Nanchang 330031,China;Nanjing Institute of Astronomical Optics and Technology,Chinese Academy of Sciences,Nanjing 210042,China
文献出处：
引用格式：
[1]Zhixu Wu;Yiming Zhang;Rongxin Tang;Zhengyang Li;Xiangyan Yuan;Yong Xia;Hua Bai;Bo Li;Zhou Chen;Xiangqun Cui;Xiaohua Deng-.Machine Learning for Improving Stellar Image-based Alignment in Wide-field Telescopes)[J].天文和天体物理学研究,2022(01):85-95
A类：
Telescopes,decenter
B类：
Machine,Learning,Improving,Stellar,Image,Alignment,Wide,field,images,will,deteriorate,dramatically,when,sensitive,elements,wide,survey,telescopes,are,misaligned,during,observation,active,key,technology,maintain,resolution,sky,Instead,traditional,dependent,wave,front,errors,this,proposes,machine,learning,metrology,stellar,scientific,camera,which,more,convenient,higher,speed,We,first,theoretically,confirm,that,pattern,point,spread,function,over,closely,related,misalignment,status,then,relationships,learned,by,step,neural,networks,After,position,parameters,less,than,tip,tilt,cases,precise,results,indicate,provides,low,cost,quality,thus,implying,important,significance,broad,application,prospects
AB值：
0.566181
相似文献
机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
