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平行式Schmidt型龙虾眼X射线光学系统研究
引用本文:杨夏军,穆宝忠,伊圣振,王占山.平行式Schmidt型龙虾眼X射线光学系统研究[J].光学仪器,2012,34(5):34-39.
作者姓名:杨夏军  穆宝忠  伊圣振  王占山
作者单位:杨夏军:同济大学 先进微结构材料教育部重点实验室,上海 200092
穆宝忠:同济大学 先进微结构材料教育部重点实验室,上海 200092
伊圣振:同济大学 先进微结构材料教育部重点实验室,上海 200092
王占山:同济大学 先进微结构材料教育部重点实验室,上海 200092
基金项目:国家自然科学基金资助项目(10978002,11027507)
摘    要:龙虾眼X射线系统是实现大视场X射线成像的有效手段。现研制了由多组平行玻璃平板构成的Schmidt型X射线龙虾眼光学系统,开展了X射线聚焦和成像的演示实验。基于掠入射反射理论,以210μm厚的超光滑平板玻璃作为光学元件,通过堆叠的方式制作了放大倍数为1的演示系统。用8keV的X射线光源对系统进行了聚焦和实验,直径280μm的光源聚焦半高宽约为320μm,与理论模拟结果基本一致。利用X射线背光照明,得到2mm×2mm大小图样的成像。实验结果表明,该龙虾眼光学系统可以在几毫米视场下达到百微米分辨。

关 键 词:龙虾眼系统  Schmidt结构  X射线聚焦  视场
收稿时间:2011/12/7

Study on lobster eye X-ray optical system based on parallel Schmidt geometry
YANG Xiajun,MU Bozhong,YI Shengzhen and WANG Zhanshan.Study on lobster eye X-ray optical system based on parallel Schmidt geometry[J].Optical Instruments,2012,34(5):34-39.
Authors:YANG Xiajun  MU Bozhong  YI Shengzhen and WANG Zhanshan
Affiliation:(Key Laboratory of Special Artificial Microstructure Materials and Technology,Tongji University,Shanghai 200092,China)
Abstract:Lobster-eye X-Ray system is an effective method to achieve X-ray imaging with a large field of view. A lobster-eye X-ray optical system is designed based on Schmidt geometry using parallel glass plate and X-ray focusing and imaging demonstration experiment is carried out. Based on the principle of grazing incidence reflection, a demonstration system with a unit magnification was made through stacking the flat thin glasses of 210 μm with ultra-smooth surface. Experiment of X-ray focusing was carried out using 8 keV X-ray source and a pinhole with diameter of about 280 μm. A full-width at half-maximum of about 320 μm was achieved which is almost the same with the ray tracing result. Then, the imaging ability of the system was also tested using a pattern of about 2 mm×2 mm through X-ray backlighting. The results show that this lobster-eye system can get a resolution of hundred microns under the FOV of a few millimeters.
Keywords:lobster-eye system  Schmidt geometry  X-ray focusing  field of view(FOV)
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