Simulated nuclear signal generation system processor, simulated nuclear signal generation system and working method

Abstract

The invention relates to a simulated nuclear signal generation system processor, a simulated nuclear signal generation system and a working method. The processor comprises an energy spectrum curve image data obtaining unit which is connected with an energy spectrum curve image data acquisition unit. The energy spectrum curve image data obtaining unit is suitable for sending obtained actual energy spectrum curve image data to a random number generation unit, obtaining a simulated energy spectrum curve through the random number generation unit and outputting the simulated energy spectrum curve. A curve is identified from an actual nuclear energy spectrum curve graph, the energy spectrum curve is digitized, and thus, the numerical values (namely, the energy levels of nuclear energy spectrum and the count rate of each level) of all the points of the energy spectrum curve are obtained. Then, the group of numerical values is sampled randomly and directly by use of a Monte Carlo method to get random numbers of the nuclear energy levels, and the randomness of nuclear decay is simulated. Finally, the random numbers are statistically processed to get a simulated energy spectrum curve, and the simulated energy spectrum curve and the actual energy spectrum curve are compared through inversion to determine the reliability and accuracy of the simulated nuclear signal generation system.

Description

technical field [0001] The invention relates to the field of nuclear energy, in particular to a processor, system and working method for a nuclear imitation signal generation system. Background technique [0002] The nuclear decay process occurs randomly in time, and the radiation (energy) released during the decay process is also random, but the statistical analysis of the time interval and energy value of its occurrence shows that the nuclear decay process has the following characteristics: The time interval approximately obeys the exponential distribution; the energy released by the nuclear decay process (that is, the energy spectrum) approximately obeys the Gaussian distribution. [0003] Based on the above characteristics of the nuclear decay process, the traditional nuclear signal generation system simulates the nuclear signal characteristics with random numbers that obey different distributions, that is, simulates the statistical characteristics of nuclear signals at ...

AI Technical Summary

Problems solved by technology

However, it is inaccurate to simulate the statistical characteristics of the nuclear signal in amplitude only with random numbers that obey the Gaussian distribution. There is a large error between the simulated high-period distribution curve and the actual energy spectrum curve, which cannot accurately reflect the characteristics of the nuclear signal. ; At the same time, the statistical characteristics of the energy spectrum of each nuclide are not the same, so the simulation of the amplitude characteristics of different types of nuclides needs to generate Gaussian distribution random numbers with different parameters to match them, which is not practical. Difficult to achieve in the process

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