论文标题
在圆柱稻草管检测器中测定纵向动量测定的广义方法
A Generalized Approach to Longitudinal Momentum Determination in Cylindrical Straw Tube Detectors
论文作者
论文摘要
即将进行的熊猫实验将是新一代粒子物理实验之一，用于采用纯粹在软件中实现的新事件过滤系统，即软件触发。为了教育其触发决策，在线重建算法需要在效率和跟踪质量方面提供出色的性能。我们提出了一种在Panda的稻草管跟踪器中重建纵向轨道参数的方法，该方法足够通用，可以轻松地添加到其他侧面重建的轨道查找算法中。对于该方法的模式识别部分，采用并比较了三种方法：一种组合路径查找方法，一种转化和递归退火拟合。在系统的比较中，发现递归退火拟合可以优于各种质量参数的其他方法，并达到95％及更高的重建功效。
The upcoming PANDA experiment at FAIR will be among a new generation of particle physics experiments to employ a novel event filtering system realised purely in software, i.e. a software trigger. To educate its triggering decisions, online reconstruction algorithms need to offer outstanding performance in terms of efficiency and track quality. We present a method to reconstruct longitudinal track parameters in PANDA's Straw Tube Tracker, which is general enough to be easily added to other track finding algorithms that focus on transversal reconstruction. For the pattern recognition part of this method, three approaches are employed and compared: A combinatorial path finding approach, a Hough transformation, and a recursive annealing fit. In a systematic comparison, the recursive annealing fit was found to outperform the other approaches in every category of quality parameters and reaches a reconstruction efficacy of 95% and higher.
