Vol. 3 Issue 4
Year:2015
Issue:Oct-Dec
Title:Dead Time Correction of Residence Time Distribution through Digital Signal Processing
Author Name:Mohamed S. El_Tokhy, Ibrahim M. Fayed, Mouldi A. Bedda and H. Kasban
Synopsis:
This paper discusses the signal preprocessing of the acquired radiation signal for Residence Time Distribution (RTD). Radiation signals of Molybdenum-99 (Mo99 ) were acquired through system setup. This system begins with a scintillator detector, channel counter and a Personal Computer (PC). Different forms of noise are accompanied with the RTD radiation signal. Consequently, an algorithm was proposed based on signal processing. This algorithm depends on background correction, base line restoration, statistical error computation, radioactive decay correction and dead time correction methods. Therefore, background correction was performed using two independent methods. These methods are the minimum value of the RTD radiation signal method and the subtraction method. Then, base line restoration was performed. Statistical error of the RTD radiation signal was computed. However, two different methods were studied for radioactive decay correction. Moreover, a dead time correction method is proposed. Therefore, dead time percent is obtained. Consequently, the number of lost pulses is investigated. The accuracy of the considered algorithm is determined based on statistical measurements of the acquired RTD signal. A remarkable accuracy of the dead time measurements is observed.
Year:2015
Issue:Oct-Dec
Title:Dead Time Correction of Residence Time Distribution through Digital Signal Processing
Author Name:Mohamed S. El_Tokhy, Ibrahim M. Fayed, Mouldi A. Bedda and H. Kasban
Synopsis:
This paper discusses the signal preprocessing of the acquired radiation signal for Residence Time Distribution (RTD). Radiation signals of Molybdenum-99 (Mo99 ) were acquired through system setup. This system begins with a scintillator detector, channel counter and a Personal Computer (PC). Different forms of noise are accompanied with the RTD radiation signal. Consequently, an algorithm was proposed based on signal processing. This algorithm depends on background correction, base line restoration, statistical error computation, radioactive decay correction and dead time correction methods. Therefore, background correction was performed using two independent methods. These methods are the minimum value of the RTD radiation signal method and the subtraction method. Then, base line restoration was performed. Statistical error of the RTD radiation signal was computed. However, two different methods were studied for radioactive decay correction. Moreover, a dead time correction method is proposed. Therefore, dead time percent is obtained. Consequently, the number of lost pulses is investigated. The accuracy of the considered algorithm is determined based on statistical measurements of the acquired RTD signal. A remarkable accuracy of the dead time measurements is observed.
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