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Electron transport in gaseous detectors with a Python-based Monte Carlo simulation code

机译:带有Python的蒙特卡罗模拟代码的气态探测器中的电子传输

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摘要

Understanding electron drift and diffusion in gases and gas mixtures is a topic of central importance for the development of modern particle detection instrumentation. The industry-standard MagBoltz code has become an invaluable tool during its 20 years of development, providing capability to solve for electron transport ('swarm') properties based on a growing encyclopedia of built-in collision cross sections. We have made a refactorization of this code from FORTRAN into Cython, and studied a range of gas mixtures of interest in high energy and nuclear physics. The results from the new open source PyBoltz package match the outputs from the original MagBoltz code, with comparable simulation speed. An extension to the capabilities of the original code is demonstrated, in implementation of a new Modified Effective Range Theory interface. We hope that the versatility afforded by the new Python code-base will encourage continued use and development of the MagBoltz tools by the particle physics community. (C) 2020 Elsevier B.V. All rights reserved.
机译:了解气体漂移和气体混合物中的电子漂移和扩散是现代粒子检测仪表发展的核心重要性。行业标准的Magboltz码已成为20年的发展中的宝贵工具,可根据内置碰撞横截面的不断增长的百科全书为电子传输(“群体”)属性提供能力。我们已经从Fortran进入Cython进行了本准则的重构,并研究了一系列对高能和核物理学感兴趣的气体混合物。新开源Pyboltz包的结果与原始Magboltz代码的输出相匹配,具有可比的模拟速度。在实现新的修改有效范围理论界面的实施中,对原始代码的功能的扩展进行了演示。我们希望新的Python码基础提供的多功能性,鼓励粒子物理界继续使用和开发Magboltz工具。 (c)2020 Elsevier B.V.保留所有权利。

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