PARSIFAL：用于 triple-GEM 参数化模拟的工具包
PARSIFAL: a toolkit for triple-GEM parametrized simulation
AI总结：
本文介绍 PARSIFAL 工具包，利用 GARFIELD++ 预计算参数快速模拟 triple-GEM 探测器响应，并通过 testbeam 数据调节以兼顾速度与精度。
摘要：
PARSIFAL（PARametrized SImulation by Farinelli And Lavezzi）是一种快速且可靠的软件工具，可在考虑主要物理效应的情况下，再现 triple-GEM 探测器对带电粒子穿过的完整响应。从探测器配置和粒子信息出发，PARSIFAL 再现电离、空间和时间扩散、磁场效应（若存在）以及 GEM 放大，以提供可信的 triple-GEM 探测器响应。在此类探测器的设计和优化阶段，模拟发挥着重要作用。准确而稳健的软件程序（如 GARFIELD++）能够模拟电子和离子在气体介质中的输运及其与电场的相互作用，但它们非常耗费 CPU 时间。在保持全模拟精度的同时减少处理时间的必要性，是本工作的主要驱动力。对于给定的一组几何和电学设置，GARFIELD++ 只需一次性运行，即可为 PARSIFAL 提供输入参数。PARSIFAL 初始化并运行后，会生成探测器输出，包括信号感应和电子学输出。将使用 PARSIFAL 获得的模拟数据分析结果与在 testbeam 期间收集的实验数据结果进行比较：对模拟应用一些调节因子以改善一致性。本文描述了代码结构以及用于使输出与实验数据相匹配的方法。
英文摘要：
PARSIFAL (PARametrized SImulation by Farinelli And Lavezzi) is a fast and reliable software tool that reproduces the complete response of a triple-GEM detector to the passage of a charged particle, taking into account the main physical effects. Starting from the detector configuration and the particle information, PARSIFAL reproduces ionization, spatial and temporal diffusion, effect of magnetic field, if present, and GEM amplification to provide the dependable triple-GEM detector response. In the design and optimization stages of this kind of detectors, simulations play an important role. Accurate and robust software programs, such as GARFIELD++, can simulate the transport of electrons and ions in a gas medium and their interaction with the electric field, but they are CPU-time consuming. The necessity to reduce the processing time while maintaining the precision of a full simulation is the main driver of this work. For a given set of geometrical and electrical settings, GARFIELD++ is run once-and-for-all to provide the input parameters for PARSIFAL. Once PARSIFAL is initialized and run, it produces the detector output, including the signal induction and the output of the electronics. The results of the analysis of the simulated data obtained with PARSIFAL are compared with the results of the experimental data collected during a testbeam: some tuning factors are applied to the simulation to improve the agreement. This paper describes the structure of the code and the methodology used to match the output to the experimental data.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
