GPU-based quasi-real-time Track Recognition in Imaging Devices: from raw Data to Particle Tracks
GPU-based quasi-real-time Track Recognition in Imaging Devices: from raw Data to Particle Tracks
复制标题
成像设备中基于 GPU 的准实时轨迹识别：从原始数据到粒子轨迹
DOI：
10.3204/desy-proc-2014-05/2
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
U. Kose
中科院分区：
文献类型：
--
作者：
C. Bozza;S. Stellacci;C. Sio;U. Kose
由于乳化液读数的快速自动显微镜，核乳剂作为跟踪装置已被最近的实验使用。自动化系统正在向基于GPU的解决方案发展。需要实时成像来驱动显微镜轴线的运动，并在本地GPU集群中准在线进行3D轨迹识别。给出了在快速扫描系统中实现的算法。它们中的大多数都是非常通用的，可能会对其他探测器有用。
Nuclear emulsions as tracking devices have been used by recent experiments thanks to fast automatic microscopes for emulsion readout. Automatic systems are evolving towards GPU-based solutions. Real-time imaging is needed to drive the motion of the microscope axes and 3D track recognition occurs quasi-online in local GPU clusters. The algorithms implemented in the Quick Scanning System are sketched. Most of them are very general and might turn out useful for other detectors.
影响因子：
2.1
作者：
Stone JE;Gohara D;Shi G
通讯作者：
Shi G