Reconstruction of pile-up events using a one-dimensional convolutional autoencoder for the NEDA detector array  

作　　者：J.M.Deltoro G.Jaworski A.Goasduff V.González A.Gadea M.Palacz J.J.Valiente-Dobón J.Nyberg S.Casans A.E.Navarro-Antón E.Sanchis G.de Angelis A.Boujrad S.Coudert T.Dupasquier S.Ertürk O.Stezowski R.Wadsworth 

机构地区：[1]Department of Electronic Engineering,University of Valencia,Burjassot,Valencia,Spain [2]Heavy Ion Laboratory,University of Warsaw,02-093 Warsaw,Poland [3]Istituto Nazionale di Fisica Nucleare,Laboratori Nazionali di Legnaro,Legnaro,Italy [4]Instituto de Física Corpuscular,CSIC-Universidad de Valencia,46980 Paterna,Valencia,Spain [5]Department of Physics and Astronomy,Uppsala University,Uppsala,Sweden [6]GANIL,CEA/DRF-CNRS/IN2P3,Bvd.Henri Becquerel,14076 Caen,France [7]CNRS,IN2P3,IPN Lyon,UniversitéLyon 1,69622 Villeurbanne,France [8]Department of Physics,Nigde Omer Halisdemir University,51240 Nigde,Turkey [9]Department of Physics,University of York,Heslington,York YO105DD,UK

出　　处：《Nuclear Science and Techniques》2025年第2期62-70,共9页核技术(英文)

基　　金：partially supported by MICIU MCIN/AEI/10.13039/501100011033;Spain with grant PID2020-118265GB-C42,-C44,PRTR-C17.I01;Generalitat Valenciana,Spain with grant CIPROM/2022/54,ASFAE/2022/031,CIAPOS/2021/114;the EU NextGenerationEU,ESF funds,and the National Science Centre (NCN),Poland (grant No.2020/39/D/ST2/00466)

摘　　要：Pulse pile-up is a problem in nuclear spectroscopy and nuclear reaction studies that occurs when two pulses overlap and distort each other,degrading the quality of energy and timing information.Different methods have been used for pile-up rejection,both digital and analogue,but some pile-up events may contain pulses of interest and need to be reconstructed.The paper proposes a new method for reconstructing pile-up events acquired with a neutron detector array(NEDA)using an one-dimensional convolutional autoencoder(1D-CAE).The datasets for training and testing the 1D-CAE are created from data acquired from the NEDA.The new pile-up signal reconstruction method is evaluated from the point of view of how similar the reconstructed signals are to the original ones.Furthermore,it is analysed considering the result of the neutron-gamma discrimination based on charge comparison,comparing the result obtained from original and reconstructed signals.

关 键 词：1D-CAE Autoencoder CAE Convolutional neural network(CNN) Neutron detector Neutron-gamma discrimination(NGD) Machine learning Pulse shape discrimination Pile-up pulse 

分 类 号：O57[理学—粒子物理与原子核物理]