Efficient dead time correction of G-M counters using feed forward artificial neural network

• Autorzy: Arkani M. , Khalafi A. , Arkani M.
• Języki publikacji: EN

Abstrakty

EN

Dead time parameter of Geiger-Müller (G-M) counters causes a great uncertainty in their response to the incident radiation intensity at high counting rates. As their applications in experimental nuclear science are widespread, many attempts have been done on improvements of their nonlinear response. In this work, response of a G-M counter system is optimized and corrected efficiently using feed forward artificial neural network (ANN). This method is simple, fast, and provides the answer to the problem explicitly with no need for iteration. The method is applied to a set of decaying source experimental data measured by a fairly large G-M tube. The results are compared with those predicted by a given analytical model which is called hybrid model. The maximum deviation of the corrected results from the true counting rates is less than 4% which is a significant improvement in comparison with the results obtained by the analytical method. Results of this study show that by using a proper artificial neural network structure, the dead time effects of G-M counters can be tolerated significantly.

Słowa kluczowe

EN

dead time; artificial neural network (ANN); Geiger-Müller (G-M) detector; hybrid model; source decaying experiment

• Wydawca: Institute of Nuclear Chemistry and Technology
• Czasopismo: Nukleonika
• Rocznik: 2013
• Tom: Vol. 58, No. 2
• Strony: 317--321
• Opis fizyczny: Bibliogr. 15 poz., rys.

Twórcy

autor

Arkani M.

• Atomic Energy Organization of Iran, Nuclear Science and Technology Research Institute (NSTRI), Reactors and Accelerators Research and Development School, End of Karegar Ave., Tehran 14155-1339, Iran and Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, P. O. Box 14155/4933/14515/775, Iran

autor

Khalafi A.

• Atomic Energy Organization of Iran, Nuclear Science and Technology Research Institute (NSTRI), Reactors and Accelerators Research and Development School, End of Karegar Ave., Tehran 14155-1339, Iran, Tel.: [phone], Fax: [phone]

autor

Arkani M.

• Atomic Energy Organization of Iran, Nuclear Science and Technology Research Institute (NSTRI), Reactors and Accelerators Research and Development School, End of Karegar Ave., Tehran 14155-1339, Iran, Tel.: [phone], Fax: [phone]

Bibliografia

• 1. Advantech Product Catalogue (2010–2011) Automation devices and computing
• 2. Carnahan B (1969) Applied numerical methods. Wiley, New York
• 3. Curtis FG (2005) Applied numerical analysis. California Polytechnic State University
• 4. Gardner RP, Liu L (1997) On the extending the accurate and useful counting rate range of G-M counter detector systems. Appl Radiat Isot 48:1605–1615
• 5. Hagan M, Demuth H, Beale M (1996) Neural network design. PWS, Boston
• 6. http://www.centronic.co.uk/gamma_detectors.htm, Centronics Web Site (2011)
• 7. Jones AR, Holford RM (1981) Application of Geiger--Müller counters over a wide range of counting rates. Nucl Instrum Methods Phys Res 189:503–509
• 8. Knoll GF (2000) Radiation detection and measurement, 3rd ed. Wiley, New York
• 9. Lee JH, Kim IJ, Choi HD (2009) On the dead time problem of a G-M counter. Appl Radiat Isot 67:1094–1098
• 10. Lee SH, Gardner RP (2000) A new G-M counter dead time model. Appl Radiat Isot 53:731–737
• 11. Mathworks (2010) MATLAB Reference Guide. The Math Works
• 12. Muller JW (1973) Dead-time problems. Nucl Instrum Methods 112:47–57
• 13. Muller JW (1974) Some formulae for a dead-time-distorted Poisson process: To Andre Allisy on the completion of his first half century. Nucl Instrum Methods 117:401–404
• 14. Muller JW (1991) Generalized dead times. Nucl Instrum Methods Phys Res A 301:543–551
• 15. Tehran Research Reactor (2009) Safety analysis report for Tehran Research Reactor. TRR-Report