论文标题
基于离散的傅立叶变换和二阶矩矩计算亮度分布的光学形状分析，以检测亚微米范围的低能轨迹
Optical shape analysis based on discrete Fourier transform and second order moment calculation of the brightness distribution for the detection of sub-micron range low energy tracks
论文作者
论文摘要
为了识别在超细粒核乳液（Nano Imaging Tracker）中记录的次级低能轨道，设计了一种椭圆拟合方法来分析光学显微镜拍摄的各向异性图像。在本文中，我们将使用离散的傅立叶变换和亮度分布的二阶分析报告这种新开发的方法。我们成功地降低了椭圆度阈值，从而提高了检测效率和角度分辨率。值得注意的是，检测碳30 keV轨道的成功是世界上第一个这样的成就，在这个成就中，碳30 keV离子的入射方向的精度为41度，效率为1.7％。
To recognize sub-micron range low energy tracks recorded in a super fine grained nuclear emulsion (Nano Imaging Tracker), an elliptical fitting method was devised to analyze anisotropic images taken by an optical microscope. In this paper, we will report on this newly developed method using discrete Fourier transform and second-order moment analysis of the brightness distribution. We succeeded in lowering the ellipticity threshold, thereby improving the detection efficiency and angular resolution. Notably, the success of detecting carbon 30 keV tracks is the first such achievement in the world, where the incident direction of carbon 30 keV ions was determined with an accuracy of 41 degree and an efficiency of 1.7%.
