Signal classification algorithms for the MRPC with DRS4 readout

A. Malakhov, A. Daribayeva, A. Dmitriev
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Abstract

The readout electronics of the Multigap Resistive Plate Chambers (MRPC) of the NA61/SHINE experiment at CERN are based on the Domino Ring Sampler v.4 (DRS4) chips. Due to the analyzing complexity of the waveforms produced by the MRPC with DRS4 readout, one needs to develop a reliable algorithm in order to distinguish signal from noise. Two methods are investigated, using the beam test data on MRPC with DRS4 readout held at “PAKHRA” accelerator in LPI RAS, Troitsk. Their results are estimated within the comparative approach, as well as the possibility of their implementation for different purposes.
使用 DRS4 读出的 MRPC 信号分类算法
欧洲核子研究中心(CERN)NA61/SHINE 实验的多隙电阻板腔室(MRPC)的读出电子设备是基于多米诺环采样器第 4 版(DRS4)芯片的。由于使用 DRS4 读出的 MRPC 产生的波形分析复杂,因此需要开发一种可靠的算法来区分信号和噪声。我们利用特罗伊茨克 LPI RAS 的 "PAKHRA "加速器中使用 DRS4 读出器的 MRPC 的光束测试数据,对两种方法进行了研究。在比较方法中对它们的结果进行了估算,并估算了为不同目的实施这两种方法的可能性。
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