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A linear optimal filtering approach for pileup noise removal in high-rate liquid ionization calorimeters

机译:高速液体电离量热仪中用于消除堆积噪声的线性最佳滤波方法

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This paper extends the linear optimal filtering (LOF) technique to the treatment of pileup noise in high-rate liquid ionization calorimeters. A two-tuple pileup case is formulated by evaluating the χ2 function defined over a set of signal samples. A first-order (linear) approximation applied to the result readily leads to the discovery of four linear FIR filters that are capable of continuous operation and amenable to hardware realization. Monte Carlo simulation is performed to validate the proposed approach using parameters extracted from the ATLAS liquid argon calorimeter readout system. The LOF yields accurate estimation of the pulse amplitude and arrival time in presence of signal pileup. A parallel as well as an iterative configuration of the LOF are discussed and contrasted in terms of hardware efficiency and execution speed.
机译:本文将线性最佳滤波(LOF)技术扩展到高速率液体电离量热计中堆积噪声的处理。通过评估在一组信号样本上定义的χ 2 函数,可以得出两元堆积的情况。应用于结果的一阶(线性)近似值很容易导致发现了四个线性FIR滤波器,这些滤波器能够连续工作并适合硬件实现。使用从ATLAS液态氩量热仪读出系统中提取的参数进行蒙特卡罗模拟,以验证所提出的方法。在存在信号堆积的情况下,LOF可以准确估算脉冲幅度和到达时间。对LOF的并行和迭代配置进行了讨论,并就硬件效率和执行速度进行了对比。

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