Back to Search
Start Over
Simulation of energy deposition of β particles in betavoltaic battery transducer materials
- Source :
- He jishu, Vol 44, Iss 2, Pp 020202-020202 (2021)
- Publication Year :
- 2021
- Publisher :
- Science Press, 2021.
-
Abstract
- 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.
Details
- Language :
- Chinese
- ISSN :
- 02533219
- Volume :
- 44
- Issue :
- 2
- Database :
- Directory of Open Access Journals
- Journal :
- He jishu
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.9b5242424594480e845030e86d026c7a
- Document Type :
- article
- Full Text :
- https://doi.org/10.11889/j.0253-3219.2021.hjs.44.020202&lang=zh