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Application of the Prony Least Squares Method for Fitting Signal Waveforms Measured by Sampling ADC

机译:PRONY最小二乘法在采样ADC测量信号波形的应用

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In the future CBM experiment at FAIR and in the MPD experiment at NICA as well as in the existing BM@N experiment forward hadron lead/scintillator sampling calorimeters will be used for geometry determination in heavy ion collisions. Digitizing of an analog signal with sampling ADCs used for signal readout in these calorimeters leads to significant fluctuation of the measured charge, if the charge is rather small. Such fluctuations can be caused by noise, pick-up, signal pile-up, as well as a small number of ADC samples per signal. To improve the response of the calorimeters, the new procedure of fitting signals based on the Prony least squares method has been developed. This method represents waveform as a linear combination of exponential functions and allows to obtain the charge more accurately requiring minimum machine time. The application of this method for the processing of signals, obtained in hadron calorimeter tests with cosmic muons and at hadron beams at CERN using sampling ADC board ADC64s2 (AFI Electronics, Dubna) is demonstrated. It is shown that fitting of the signals with a known function allows to extract weak signals comparable to the level of electronic noise, which is important for performing a muon calibration of calorimeter sections.
机译:在未来的CBM实验和在NICA的MPD实验中以及现有的BM @ N实验中,FORTRON铅/闪烁体采样量热计将用于重离子碰撞中的几何测定。使用用于在这些量热计中用于信号读数的采样ADC的模拟信号的数字化导致测量电荷的显着波动,如果电荷相当小。这种波动可以由噪声,拾取,信号堆积以及每个信号的少量ADC样本引起。为了提高量热计的响应,已经开发了基于PRONY最小二乘法的拟合信号的新方法。该方法表示波形作为指数功能的线性组合,并且允许更准确地需要最小机器时间的电荷。该方法在使用采样ADC板ADC64S2(AFI电子设备,DUBNA)的CONRON量热仪和CONNEN的HOTRON梁中获得的信号处理方法的应用。结果表明,具有已知功能的信号拟合允许提取与电子噪声水平相当的弱信号,这对于执行量散部分的μON校准是重要的。

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