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Optimizing Tracking Software for a Time Projection Chamber

机译:优化时间投影室的跟踪软件

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International research collaborations will be using accelerators in the U.S. and Europe to produce and detect the phase transition in high-density nuclear matter called the Quark-Gluon Plasma, formed in collisions between pairs of A ≈ 200 nuclei, for projectiles with kinetic energies large compared to their rest mass energies. Each collaboration will use time projection chambers (TPC) to track thousands of secondary charged particles formed in the aftermath of each central primary collision. Creating and optimizing TPC tracking software is difficult in such a high multiplicity environment, particularly for particles with a low momentum (below 300 MeV/C). At high momenta, energy loss is low enough for particle-tracking to use unchanging helix parameters. However, at low momenta, tracking requires changing helix parameters as energy is lost along the path. Tracking software, written for particles of high momenta, may identify the track of a single low momentum particle as two or three separate tracks. This tracking problem was corrected by changing the main tracking algorithm to merge together these two-or-three fragmented, low-momentum particle tracks. Event displays were found exceedingly helpful in diagnosing the problems and optimizing the algorithms.
机译:国际研究合作将在美国和欧洲使用加速器来产生和检测称为Quark-Gluon等离子体的高密度核物质的相变,该相变是在A≈200核对之间的碰撞中形成的,用于具有较大动能的弹丸剩下他们的剩余能量。每次合作将使用时间投影室(TPC)来跟踪每次中央一次碰撞后形成的数千个次级带电粒子。在如此高的多重环境中,尤其是对于动量较低(低于300 MeV / C)的粒子,创建和优化TPC跟踪软件非常困难。高动量时,能量损失足够低,以至于粒子跟踪无法使用不变的螺旋参数。但是,在低动量时,由于沿路径的能量损失,跟踪需要更改螺旋参数。为高动量粒子编写的跟踪软件可以将单个低动量粒子的轨道标识为两个或三个单独的轨道。通过更改主跟踪算法以将这两个或三个分段的低动量粒子轨道合并在一起,可以纠正此跟踪问题。发现事件显示对于诊断问题和优化算法非常有帮助。

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