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Monte Carlo simulation of semiconductor detector response to 222Rn and 220Rn environments
- Source :
- J. Environ. Radioact. 158-159, 64-70 (2016)
- Publication Year :
- 2016
- Publisher :
- Elsevier BV, 2016.
-
Abstract
- A new electronic radon/thoron monitor employing semiconductor detectors based on a passive diffusion chamber design has been recently developed at the Helmholtz Zentrum Munchen (HMGU). This device allows for acquisition of alpha particle energy spectra, in order to distinguish alpha particles originating from radon and radon progeny decays, as well as those originating from thoron and its progeny decays. A Monte-Carlo application is described which uses the Geant4 toolkit to simulate these alpha particle spectra. Reasonable agreement between measured and simulated spectra were obtained for both 220 Rn and 222 Rn , in the energy range between 1 and 10 MeV. Measured calibration factors could be reproduced by the simulation, given the uncertainties involved in the measurement and simulation. The simulated alpha particle spectra can now be used to interpret spectra measured in mixed radon/thoron atmospheres. The results agreed well with measurements performed in both radon and thoron gas environments. It is concluded that the developed simulation allows for an accurate prediction of calibration factors and alpha particle energy spectra.
- Subjects :
- Health, Toxicology and Mutagenesis
Monte Carlo method
Alpha-particle spectroscopy
chemistry.chemical_element
Radon
Environment
01 natural sciences
Particle detector
030218 nuclear medicine & medical imaging
Nuclear physics
03 medical and health sciences
0302 clinical medicine
Radiation Monitoring
0103 physical sciences
Environmental Chemistry
Computer Simulation
Waste Management and Disposal
010302 applied physics
Physics
Range (particle radiation)
General Medicine
Alpha particle
Alpha Particles
Pollution
Charged particle
Semiconductor detector
Semiconductors
chemistry
Air Pollutants, Radioactive
Detector
Monte-carlo
Simulation
Spectroscopy
Thoron
Monte Carlo Method
Subjects
Details
- ISSN :
- 0265931X
- Database :
- OpenAIRE
- Journal :
- Journal of Environmental Radioactivity
- Accession number :
- edsair.doi.dedup.....d1157686f6c82c48384f62de44ceadc0