Digital Signal Analysis based on Convolutional Neural Networks for Active Target Time Projection Chambers
G. F. Fortino,
J. C. Zamora,
L. E. Tamayose
et al.
Abstract:An algorithm for digital signal analysis using convolutional neural networks (CNN) was developed in this work. The main objective of this algorithm is to make the analysis of experiments with active target time projection chambers more efficient. The code is divided in three steps: baseline correction, signal deconvolution and peak detection and integration. The CNNs were able to learn the signal processing models with relative errors of less than 6%. The analysis based on CNNs provides the same results as the… Show more
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