The Energy Correction of Belle II ECL detector by Using Convolutional Neural Network
| Autor: | Chia-Te Chen, 陳家德 |
|---|---|
| Rok vydání: | 2019 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 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. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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