Simulation of energy deposition of β particles in betavoltaic battery transducer materials

BackgroundThe energy deposition behavior of β particles in transducer material is an important issue in the simulation of a betavoltaic battery, which is usually performed by Monte Carlo software Casino and MCNP (Monte Carlo N Particle Transport Code). However, it is difficult to simulate the contin...

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Main Authors: ZHANG Mingxu, QIN Lixin, ZHAO Man, ZHAO Jiangtao
Format: Article
Language:zho
Published: Science Press 2021-02-01
Series:He jishu
Subjects:
Online Access:http://www.hjs.sinap.ac.cn/thesisDetails#10.11889/j.0253-3219.2021.hjs.44.020202&lang=zh
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author ZHANG Mingxu
QIN Lixin
ZHAO Man
ZHAO Jiangtao
author_facet ZHANG Mingxu
QIN Lixin
ZHAO Man
ZHAO Jiangtao
author_sort ZHANG Mingxu
collection DOAJ
description BackgroundThe energy deposition behavior of β particles in transducer material is an important issue in the simulation of a betavoltaic battery, which is usually performed by Monte Carlo software Casino and MCNP (Monte Carlo N Particle Transport Code). However, it is difficult to simulate the continuous energy spectrum of β particles by Casino software. The commercial software MCNP is subject to many restrictions on its copyright, it is very necessary to study the energy deposition of β particles in transducer materials based on the universal open-source Monte Carlo program Geant4 (GEometry ANd Tracking, version 4).PurposeThis study aims to develop a model based on Geant4 to study the energy deposition of β particles in betavoltaic battery transducer materials.MethodsBased on the framework of Geant4 software, a general simulation model of energy deposition behavior was developed. The continuous β spectrum, the self-absorption of radioactive source, and the backscattering of β particles on the source-transducer interface were taken into account completely in this model for the Monte-Carlo simulation study, and the computation results were compared with that of Casino software.ResultsSimulation comparison results show that this simulation model can accurately simulate the energy deposition behavior of β particles in the transducer materials of betavoltaic battery.ConclusionsSimulation model proposed in this study can be used to study the energy deposition of β particles in the transducer materials with advantages of convenient application, open software and easy extension to other source-transducer combinations.
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spelling doaj.art-9b5242424594480e845030e86d026c7a2023-02-08T00:35:35ZzhoScience PressHe jishu0253-32192021-02-0144202020202020210.11889/j.0253-3219.2021.hjs.44.0202020253-3219(2021)02-0011-06Simulation of energy deposition of β particles in betavoltaic battery transducer materialsZHANG MingxuQIN LixinZHAO ManZHAO JiangtaoBackgroundThe energy deposition behavior of β particles in transducer material is an important issue in the simulation of a betavoltaic battery, which is usually performed by Monte Carlo software Casino and MCNP (Monte Carlo N Particle Transport Code). However, it is difficult to simulate the continuous energy spectrum of β particles by Casino software. The commercial software MCNP is subject to many restrictions on its copyright, it is very necessary to study the energy deposition of β particles in transducer materials based on the universal open-source Monte Carlo program Geant4 (GEometry ANd Tracking, version 4).PurposeThis study aims to develop a model based on Geant4 to study the energy deposition of β particles in betavoltaic battery transducer materials.MethodsBased on the framework of Geant4 software, a general simulation model of energy deposition behavior was developed. The continuous β spectrum, the self-absorption of radioactive source, and the backscattering of β particles on the source-transducer interface were taken into account completely in this model for the Monte-Carlo simulation study, and the computation results were compared with that of Casino software.ResultsSimulation comparison results show that this simulation model can accurately simulate the energy deposition behavior of β particles in the transducer materials of betavoltaic battery.ConclusionsSimulation model proposed in this study can be used to study the energy deposition of β particles in the transducer materials with advantages of convenient application, open software and easy extension to other source-transducer combinations.http://www.hjs.sinap.ac.cn/thesisDetails#10.11889/j.0253-3219.2021.hjs.44.020202&lang=zhgeant463nibetavoltaic batteryenergy deposition behavior
spellingShingle ZHANG Mingxu
QIN Lixin
ZHAO Man
ZHAO Jiangtao
Simulation of energy deposition of β particles in betavoltaic battery transducer materials
He jishu
geant4
63ni
betavoltaic battery
energy deposition behavior
title Simulation of energy deposition of β particles in betavoltaic battery transducer materials
title_full Simulation of energy deposition of β particles in betavoltaic battery transducer materials
title_fullStr Simulation of energy deposition of β particles in betavoltaic battery transducer materials
title_full_unstemmed Simulation of energy deposition of β particles in betavoltaic battery transducer materials
title_short Simulation of energy deposition of β particles in betavoltaic battery transducer materials
title_sort simulation of energy deposition of β particles in betavoltaic battery transducer materials
topic geant4
63ni
betavoltaic battery
energy deposition behavior
url http://www.hjs.sinap.ac.cn/thesisDetails#10.11889/j.0253-3219.2021.hjs.44.020202&lang=zh
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AT qinlixin simulationofenergydepositionofbparticlesinbetavoltaicbatterytransducermaterials
AT zhaoman simulationofenergydepositionofbparticlesinbetavoltaicbatterytransducermaterials
AT zhaojiangtao simulationofenergydepositionofbparticlesinbetavoltaicbatterytransducermaterials