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GEANT4 simulation study of over-response phenomenon of fiber x-ray sensor |
Bin Zhang(张彬)1, Tian-Ci Xie(谢天赐)1, Zhuang Qin(秦壮)2, Hao-Peng Li(李昊鹏)1, Song Li(李松) 1, Wen-Hui Zhao(赵文辉)1, Zi-Yin Chen(陈子印)3, Jun Xu(徐军)4, Elfed Lewis5, and Wei-Min Sun(孙伟民)1,† |
1 Key Laboratory of In-fiber Integrated Optics, Ministry of Education, Harbin Engineering University, Harbin 150001, China; 2 Electronic Engineering College, Ministry of Education, Heilongjiang University, Harbin 150001, China; 3 Comprehensive Cancer Center, First Affiliated Hospital of Harbin Medical University, Harbin 150001, China; 4 Comprehensive Cancer Center, Second Affiliated Hospital of Harbin Medical University, Harbin 150001, China; 5 Optical Fiber Sensors Research Centre, University of Limerick, Castletroy, Limerick, Ireland |
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Abstract The purpose of this article is to explore the cause of the over-response phenomenon of fiber x-ray sensor. The sensor is based on a length of PMMA fiber, whose end is filled with the scintillation material Gd2O2S:Tb. The Monte Carlo simulation software GEANT4 uses the phase space file provided by the International Atomic Energy Agency (IAEA), by irradiating the fiber x-ray sensor in the water phantom, counting the fluorescence signal of the optical fiber x-ray sensor after propagation through the fiber. In addition, the number of Cerenkov photons propagating through the fiber is also counted. Comparing this article with previous research, we believe that one of the reasons for the over-response of the fiber x-ray sensor is the non-linear response of the deposition energy of the scintillator to the fluorescence. By establishing a region of interest and counting the x-rays in this region, the simulation results show that the counted number of x-rays that may affect the fiber x-ray sensor is the biggest in the area of interest at a water depth of 5 cm. This result is close to the maximum dose point of the experimental and simulated percentage depth dose (PDD) curve of fiber x-ray sensor. Therefore, the second reason of the over-response phenomenon is believed to be fact that the inorganic materials such as Gd2O2S:Tb have larger effective atomic numbers, so the fiber x-ray sensors will cause more collisions with x-ray in a low energy region of 0.1 MeV-1.5 MeV.
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Received: 17 September 2020
Revised: 04 November 2020
Accepted manuscript online: 02 December 2020
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PACS:
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87.10.Rt
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(Monte Carlo simulations)
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87.15.ak
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(Monte Carlo simulations)
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87.16.A-
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(Theory, modeling, and simulations)
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Fund: Project supported by the Natural Science Foundation of Heilongjiang Province, China (Grant No. ZD2019H003), the Joint Research Fund in Astronomy under Cooperative Agreement Between the National Natural Science Foundation of China and Chinese Academy of Sciences (Grant Nos. U1631239 and U1931206), the 111 Project, China (Grant No. B13015), and the Fundamental Research Funds for the Central Universities to the Harbin Engineering University, China. |
Corresponding Authors:
†Corresponding author. E-mail: sunweimin@hrbeu.edu.cn
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Cite this article:
Bin Zhang(张彬), Tian-Ci Xie(谢天赐), Zhuang Qin(秦壮), Hao-Peng Li(李昊鹏), Song Li(李松), Wen-Hui Zhao(赵文辉), Zi-Yin Chen(陈子印), Jun Xu(徐军), Elfed Lewis, and Wei-Min Sun(孙伟民) GEANT4 simulation study of over-response phenomenon of fiber x-ray sensor 2021 Chin. Phys. B 30 048701
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1 Nutting C, Dearnaley D P and Webb S 2000 The British Journal of Radiology 73 459 2 Wuerfel J U2013 Medical Physics International 1 81 3 O'Keeffe S, Zhao W, Sun W, Zhang D, Qin Z, Chen Z, Ma Y and Lewis E 2016 IEEE J. Select. Top. Quantum Electron. 22 35 4 Sun W, Qin Z, Ma Y, Zhao W, Hu Y, Zhang D, Chen Z and Lewis E 2016 Optical Sensing and Detection IV (Brussels: Belgium), 98991D 5 Qin Z, Hu Y, Ma Y, Lin W, Luo X, Zhao W, Sun W, Zhang D, Chen Z, Wang B and Lewis E 2016 Biomed. Opt. Express 7 4919 6 Beddar A S, Mackie T R and Attix F H 1992 Phys. Med. Biology 37 1883 7 Beddar A S, Mackie T R and Attix F H 1992 Phys. Med. Biology 37 1901 8 Guillot M, Beaulieu L, Archambault L, Beddar S and Gingras L 2011 Med. Phys. 38 6763 9 Archambault L, Beddar A S, Gingras L, Roy R and Beaulieu L 2005 Med. Phys. 33 128 10 Nicholas T and Landsberger2015 Measurement and Detection of Radiation(CRC Press) 11 Hu Y, Qin Z, Ma Y, Zhao W, Sun W, Zhang D, Chen Z, Wang B, Tian H and Lewis E 2018 Sensors and Actuators A: Physical 269 188 12 Qin Z, Xie T, Dai X, Zhang B, Ma Y, Khan I U, Zhang X, Li H, Yan Y, Zhao W, Li S, Chen Z, Zhang D, Xu J, Hu X, Xing L, Feng K, Lewis E and Sun W 2019 Opt. Express 27 23693 13 Ding G X 2002 Phys. Med. Biology 47 1025 14 Andreo P 1991 Phys. Med. Biology 36 861 15 Martìnez N, Rucci A, Marcazzò J, Molina P, Santiago M and Cravero W 2017 Radiation Measurements 106 650 16 Alharbi M, Martyn M, Chen L, Gillespie S, Woulfe P, O'Keeffe S and Foley M 2018 Optical Sensing and Detection V, Strasbourg, France, 106800Z 17 Roncali E, Mosleh-Shirazi M A and Badano A 2017 Phys. Med. Biol. 62 R207 18 Gorokhova E I, Demidenko V A, Mikhrin S B, Rodnyi P A and van Eijk C W E 2005 IEEE Trans. Nucl. Sci. 52 3129 19 Allison J, Amako K, Apostolakis J, et al.2006 IEEE Trans. Nucl. Sci. 53 270 20 Ahnesjo A and Aspradakis M M 1999 Phys. Med. Biology 44 R99 21 Archambault L, Polf J C, Beaulieu L and Beddar S 2008 Phys. Med. Biology 53 1865 22 Cortés-Giraldo M A, Quesada J M, Gallardo M I and Capote R 2012 International Journal of Radiation Biology 88 200 23 Rucci A, Carletti C, Cravero W and Strbac B 2014 Physica Medica 30 242 24 Maigne L, Perrot Y, Schaart D R, Donnarieix D and Breton V 2011 Phys. Med. Biology 56 811 25 Cortes-Giraldo M A, Quesada J M, Gallardo M I and Capote R Geant interface to work with IAEA phase-space files 26 Rodrigues A, Sawkey D, Yin F F and Wu Q 2015 Med. Phys. 42 2389 27 Weber M J 2002 J. Luminescence 100 35 28 Carel W E van Eijk 2002 Phys. Med. Biol. 47 R85 29 Alharbi M, Martyn M, O'Keeffe S, Therriault-Proulx F, Beaulieu L and Foley M 2019 Phys. Med. 68 124 30 Jang K W, Yagi T, Pyeon C H, Yoo W J, Shin S H, Jeong C, Min B J, Shin D, Misawa T and Lee B 2013 J. Biomed. Opt. 18 27001 31 Zhuang Q, Yaosheng H, Yu M, Wenhui Z, Weimin S, Daxin Z, Ziyin C and Elfed L 2016 Opt. Express 24 5172 32 Dietz-Laursonn E2016 Detailed Studies of Light Transport in Optical Components of Particle Detectors, Ph. D. Dissertation (Aachen, Tech. Hochsch) 33 Stock S R2008 MicroComputed Tomography: Methodology and Applications 34 Hubbell J H and Seltzer S M Tables of X-Ray Mass Attenuation Coefficients and Mass Energy-Absorption Coefficients (version 1.4) 35 Agyingi E O, Mobit P N and Sandison G A 2006 Radiation Protection Dosimetry 118 28 |
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