首页> 外文期刊>Proceedings of the Arkansas Academy of Science >Energy-Loss Particle Identification in 2-D Silicon Drift Detectors
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Energy-Loss Particle Identification in 2-D Silicon Drift Detectors

机译:二维硅漂移探测器中的能量损失颗粒识别

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A relatively new type of transducer known as the Silicon Drift Detector (SDD) has been fabricated onto thin silicon wafers. SDD operates like a miniature, high-resolution, 2-D Time-projection chamber. One of these devices can detect two dimensions of an ionizing particle's position, and its integrated electrical charge output level is proportional to the particle's energy loss through the silicon. An array of SDD's, arranged in three coaxial cylinders, is being considered as part of an instrument surrounding the beam pipe of highly-relativistic colliding beam facility, where it would be used to simultaneously track individual paths of thousands of charged particles emerging from each primary collision. Energy-loss data from the (x,y) pixels of each track allow individual particle identification as an electron, pion, kaon or proton. CERN's Monte Carlo modeling program, GEANT, is being used to predict energy loss at high statistical accuracy to account for high-energy tailing of the more prevalent pions. GEANT has been installed on a Linux workstation in Little Rock. Speeding up the modeling process is being investigated using parallel virtual memory techniques and groupings of Linux workstations.
机译:被称为硅漂移检测器(SDD)的一种相对新型的换能器已被制造到薄硅片上。 SDD的运作方式类似于微型高分辨率2D时间投影室。这些设备之一可以检测电离粒子位置的二维,其积分电荷输出水平与粒子通过硅的能量损失成比例。排列在三个同轴圆柱体中的一系列SDD被认为是围绕高相对论性碰撞光束设施的光束管的仪器的一部分,在该仪器中,它可以用来同时跟踪从每个初级粒子产生的数千个带电粒子的各个路径碰撞。来自每个轨迹的(x,y)像素的能量损失数据允许将单个粒子识别为电子,介子,钾或质子。 CERN的Monte Carlo建模程序GEANT被用于以较高的统计精度预测能量损失,以解决更普遍的介子的高能拖尾现象。 GEANT已安装在Little Rock的Linux工作站上。正在使用并行虚拟内存技术和Linux工作站分组研究如何加快建模过程。

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