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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Format: | Article |
Language: | zho |
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Science Press
2021-02-01
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Series: | He jishu |
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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. |
first_indexed | 2024-04-10T16:46:45Z |
format | Article |
id | doaj.art-9b5242424594480e845030e86d026c7a |
institution | Directory Open Access Journal |
issn | 0253-3219 |
language | zho |
last_indexed | 2024-04-10T16:46:45Z |
publishDate | 2021-02-01 |
publisher | Science Press |
record_format | Article |
series | He jishu |
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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