Characterization method of neutron-photon energy spectrum in self-powered neutron detector

Abstract

The invention discloses a characterization method of a neutron-photon energy spectrum in a self-powered neutron detector. The characterization method comprises the following steps: 1, obtaining a sensitivity calculation model of the self-powered neutron detector; 2, obtaining a neutron energy spectrum and a photon energy spectrum near the self-powered neutron detector, and encrypting each energy group interval to obtain an encrypted neutron energy group and an encrypted photon energy group; 3, calculating the characteristic value of the fuel assembly again, obtaining a 573-group neutron energyspectrum and a 128-group photon energy spectrum near the self-powered neutron detector, and meanwhile checking the statistical variance of the neutron energy spectrum and the photon energy spectrum;4, obtaining neutron sensitivity and photon sensitivity of the self-powered neutron detector, and taking the neutron sensitivity and the photon sensitivity as reference values for energy group selection; and 5, respectively calculating photon energy spectrums corresponding to three types of common neutron energy groups and three types of photon energy group structures, calculating corresponding neutron sensitivity and photon sensitivity, comparing and analyzing reference values, and selecting an energy group structure with the minimum relative deviation with the neutron sensitivity and photonsensitivity reference values as an optimal neutron-photon energy group structure.

Description

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AI Technical Summary

Benefits of technology

The technical effect that this new technology solves are its superior performance compared to previous methods while also being easier for users than older versions like Litec's or other similar products.

Problems solved by technology

This patents describes how safe operation of nuclear reactors depends heavily upon accurate detection of their own status during normal operations by means such as neutrons or gamma rays from radioactive materials present around the rector cores. To achieve these goals, there are two main technical methods: (1) modeling the behavior of the detectors themselves based on environmental factors like heat load, moisture content, and radiations; (2) developing models containing multiple different levels of atomic number data points representing various states of the target's internal activity overall. These techniques help predict accurately responding to changes caused by natural processes occurring outside those conditions.

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