Application of uncorrelated stochastic fluctuations analysis for identification of pulse mode nuclear detector systems

Arkani, M.

doi:10.24200/nst.2024.1589

Application of uncorrelated stochastic fluctuations analysis for identification of pulse mode nuclear detector systems

Document Type : Scientific Note

Author

M. Arkani

Reactor and Nuclear Safety Research School, Nuclear Science and Technology Research Institute, AEOI, P.O.BOX: 14395-836, Tehran – Iran

https://doi.org/10.24200/nst.2024.1589

Abstract

One of the most frequently observed random processes in nuclear experiments is the Poisson process. Due to the dead time effect of detection systems, the experimental process is different from the Poisson process. In this work, based on stochastic methods, a nuclear detection system is identified. The BF3 detector is a typical pulse mode detector. In this research, a typical BF3 detector is selected to implement the above method. Observed pulses at the detector output in the time domain were measured and analyzed using stochastic fluctuations analysis. In experiments such as measurements related to zero-power reactor noise theory, the transfer function of the detection system itself also affects the obtained results. Therefore, knowledge of the transfer function of the detection system used in these experiments is of particular importance. Also, in measurements where it is necessary to correct the detection system dead time, the specificity of the transfer function can provide valuable information about the effects of dead time. This study investigates the transfer function of a typical neutron detection system based on BF3.

Highlights

Karrari M. System Identification. Amirkabir University of Technology. Tehran Polytechnic Press. 2010.

Olsson G. Modeling and Identification of a Nuclear Reactor. Mathematics in Science and Engineering. 1976;126:519-593.

Zhang X, Sun P, Qiu L, Pu S, Wei X. Transfer function modeling and simulation of HPR1000. Annals of Nuclear Energy. 2022;166:108689.

Henley E.J, Lewins J. Advances in Nuclear Science and Technology. Elsevier. 2014;7: NY, DOI: 10.1007/978-1-4613-2862-9.

MATLAB 2020b, The MathWorks, Inc., Natick, Massachusetts, United State.

Knoll G.F. Radiation detection and measurement. John Wiley & Sons Inc. 1999.

Arkani M, Raisali G. Measurement of dead time by time interval distribution method. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2015;774:151-158.

Arkani M, Khalafi H, Vosoughi N, Khakshournia S. Design and construction of a two-channel data acquisition system for random processes based on FPGA. Journal of Nuclear Research and Applications. 2015;36(72):29-38.

Arkani M, Khalafi H, Vosoughi N, Khakshournia S. A FPGA based Time Analyser for Stochastic Methods in Experimental Physics. Instruments and Experimental Techniques. 2015;58:350-358.

Keywords

Uncorrelated random pulses

Poisson probability distribution function

Nuclear detector

Karrari M. System Identification. Amirkabir University of Technology. Tehran Polytechnic Press. 2010.

Olsson G. Modeling and Identification of a Nuclear Reactor. Mathematics in Science and Engineering. 1976;126:519-593.

Zhang X, Sun P, Qiu L, Pu S, Wei X. Transfer function modeling and simulation of HPR1000. Annals of Nuclear Energy. 2022;166:108689.

Henley E.J, Lewins J. Advances in Nuclear Science and Technology. Elsevier. 2014;7: NY, DOI: 10.1007/978-1-4613-2862-9.

MATLAB 2020b, The MathWorks, Inc., Natick, Massachusetts, United State.

Knoll G.F. Radiation detection and measurement. John Wiley & Sons Inc. 1999.

Arkani M, Raisali G. Measurement of dead time by time interval distribution method. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2015;774:151-158.

Arkani M, Khalafi H, Vosoughi N, Khakshournia S. Design and construction of a two-channel data acquisition system for random processes based on FPGA. Journal of Nuclear Research and Applications. 2015;36(72):29-38.

Arkani M, Khalafi H, Vosoughi N, Khakshournia S. A FPGA based Time Analyser for Stochastic Methods in Experimental Physics. Instruments and Experimental Techniques. 2015;58:350-358.