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Monte Carlo modelling of an X-ray fluorescence detection system by the MCNP code
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This survey has shown, using the Monte Carlo N-Particle(MCNP) code to model a detection system, to demonstrate that it is possible to design a system to measure hazard elements in polluted water. At first, the measurement method needs to be determined. For measuring the specimen component without knowing the accuracy concentration in a short time, when compared with other methods, the Energy-dispersive X-ray fluorescence (ED-XRF) is a good choice for solving this problem. Then, a basic part of this method and actual experiment setting is using the simulation to find the suitable parameters such as the input X-ray energy level, the detector thickness, etc. At last, the polluted water has been measured for evaluating the system function.

Place, publisher, year, edition, pages
2018. , p. 82
Keywords [en]
MCNP, Monte Carlo modelling, XRF detection system
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-36008OAI: oai:DiVA.org:miun-36008DiVA, id: diva2:1304509
Subject / course
Electronics EL1
Educational program
International Master's Programme in Electronics Design TELAA 120 higher education credits
Supervisors
Examiners
Available from: 2019-04-15 Created: 2019-04-12 Last updated: 2019-04-15Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf