Signal deconvolution for energy estimation in calorimetry system operating at high event rate
DOI:
https://doi.org/10.14295/vetor.v34i2.18340Keywords:
Signal reconstruction, Amplitude estimation, Signal deconvolution, High Luminosity, Experimental high energy physicsAbstract
This article aims to evaluate the performance of a method based on Signal Deconvolution for energy estimation in high-energy calorimeters. The study focuses on reconstructing signals produced by the readout channels of a calorimetry system resulting from atomic particle collisions. Data processing is performed in a continuous or sequential format (free-running), aligned with the operation of modern experiments characterized by high event rates and high luminosity. This context enables determining the optimal sample processing interval to enhance the efficiency of signal reconstruction by the readout channels. Additionally, the K-Fold cross-validation technique is employed for statistical error analysis. The study compares the efficiency of the proposed method with the linear technique currently used in modern calorimeters under different operating conditions. The findings identified the optimal intervals for the methods in amplitude estimation and highlighted the independence of the Deconvolution method from signal pile-up, making it advantageous in high-luminosity environments.Downloads
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