The Energy Correction of Belle II ECL detector by Using Convolutional Neural Network

碩士 === 國立臺灣大學 === 應用物理研究所 === 107 === For ECL in Belle II experiment [18], CsI crystals are used to detect photon energy. However, the energy loss caused by leakage decrease the accuracy of the detector. Leakage exists because of non-sensitive region between the scintillator crystals, and the par...

Full description

Bibliographic Details
Main Authors:	Chia-Te Chen, 陳家德
Other Authors:	Ming-Zu Wang
Format:	Others
Language:	en_US
Published:	2019
Online Access:	http://ndltd.ncl.edu.tw/handle/2ctxe2

id	ndltd-TW-107NTU05201006
record_format	oai_dc
spelling	ndltd-TW-107NTU052010062019-06-27T05:48:09Z http://ndltd.ncl.edu.tw/handle/2ctxe2 The Energy Correction of Belle II ECL detector by Using Convolutional Neural Network 利用捲積神經網路進行Belle II ECL之能量修正 Chia-Te Chen 陳家德碩士國立臺灣大學應用物理研究所 107 For ECL in Belle II experiment [18], CsI crystals are used to detect photon energy. However, the energy loss caused by leakage decrease the accuracy of the detector. Leakage exists because of non-sensitive region between the scintillator crystals, and the particle penetration through the crystals. By considering the energy distribution of ECL, we believe that these leakages can be corrected by studying the patterns of distribution of deposited energy. Based on this idea, we represent the distribution of deposited energy as a 2-D image, and correct the energy loss with the pattern recognition ability of convolutional neural network. We got promising result from training and validating CNN model with simulation data. With further studying and training, we hope this kind of correction can apply on real data as well. Ming-Zu Wang 王名儒 2019 學位論文 ; thesis 50 en_US
collection	NDLTD
language	en_US
format	Others
sources	NDLTD
description	碩士 === 國立臺灣大學 === 應用物理研究所 === 107 === For ECL in Belle II experiment [18], CsI crystals are used to detect photon energy. However, the energy loss caused by leakage decrease the accuracy of the detector. Leakage exists because of non-sensitive region between the scintillator crystals, and the particle penetration through the crystals. By considering the energy distribution of ECL, we believe that these leakages can be corrected by studying the patterns of distribution of deposited energy. Based on this idea, we represent the distribution of deposited energy as a 2-D image, and correct the energy loss with the pattern recognition ability of convolutional neural network. We got promising result from training and validating CNN model with simulation data. With further studying and training, we hope this kind of correction can apply on real data as well.
author2	Ming-Zu Wang
author_facet	Ming-Zu Wang Chia-Te Chen 陳家德
author	Chia-Te Chen 陳家德
spellingShingle	Chia-Te Chen 陳家德 The Energy Correction of Belle II ECL detector by Using Convolutional Neural Network
author_sort	Chia-Te Chen
title	The Energy Correction of Belle II ECL detector by Using Convolutional Neural Network
title_short	The Energy Correction of Belle II ECL detector by Using Convolutional Neural Network
title_full	The Energy Correction of Belle II ECL detector by Using Convolutional Neural Network
title_fullStr	The Energy Correction of Belle II ECL detector by Using Convolutional Neural Network
title_full_unstemmed	The Energy Correction of Belle II ECL detector by Using Convolutional Neural Network
title_sort	energy correction of belle ii ecl detector by using convolutional neural network
publishDate	2019
url	http://ndltd.ncl.edu.tw/handle/2ctxe2
work_keys_str_mv	AT chiatechen theenergycorrectionofbelleiiecldetectorbyusingconvolutionalneuralnetwork AT chénjiādé theenergycorrectionofbelleiiecldetectorbyusingconvolutionalneuralnetwork AT chiatechen lìyòngjuǎnjīshénjīngwǎnglùjìnxíngbelleiieclzhīnéngliàngxiūzhèng AT chénjiādé lìyòngjuǎnjīshénjīngwǎnglùjìnxíngbelleiieclzhīnéngliàngxiūzhèng AT chiatechen energycorrectionofbelleiiecldetectorbyusingconvolutionalneuralnetwork AT chénjiādé energycorrectionofbelleiiecldetectorbyusingconvolutionalneuralnetwork
_version_	1719213657139707904

The Energy Correction of Belle II ECL detector by Using Convolutional Neural Network

Similar Items