Standalone first level event selection package for the CBM experiment
IEEE Transactions on Nuclear Science（2013）
摘要
The main focus of the CBM experiment (FAIR, Germany) is measurement of very rare probes at interaction rates of up to 10 MHz. The experiment will operate with a data flow of up to 1 TB/s and requires full on-line event reconstruction and selection at the first level trigger.
更多查看译文
关键词
processing speed,standalone first level event selection package,intel based computer,first level trigger,simd,cpu cores,kalman filters,cellular automaton algorithm,many-core systems,pattern recognition,cbm experiment,track reconstruction efficiency,track fitting,first level event selection,simd instruction set,particle tracks,parallel architectures,byte rate 1 tbyte/s,high energy physics instrumentation computing,fair experiment,standalone fles package,data processing,kf particle finder,trigger circuits,short-lived particle finding,track finding,cellular automaton,multiprocessing systems,image reconstruction,high performance computing,full online event reconstruction,cellular automata,particle decay channels,first level event selection package,track reconstruction,au-au urqmd collisions,data flow,fles package,track parameter quality,kalman filter algorithm,elementary particles,frequency 10 mhz,on-line event reconstruction,short lived particle selection,optimal signal-to-background ratio,short lived particle finding,many-core system,kalman filter algorithms,germany,registers,vectors,central processing unit,automata,detectors
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要