Energy channel counting redistribution process and method for gamma spectrum analysis

Abstract

The invention relates to an energy channel counting redistribution process and method for gamma spectrum analysis. The energy channel counting redistribution process and method for gamma spectrum analysis comprise the following steps of: determining two line segments, which are mutually parallel and equal in length, wherein the two line segments are respectively named AB and MN; MN represents an integer energy channel; AB represents a non-integer energy channel, and is original data; separating the AB line segment into multiple energy intervals, and selecting midpoints in the middle parts of the energy intervals, wherein both endpoints and midpoints of the various intervals are nodes; and the nodes are identified by letters; separating the MN line segment into multiple target intervals, and identifying the endpoints of the target intervals by letters; and, selecting the endpoint of the corresponding target interval, making a vertical line towards the line segment AB, identifying the pedal on the line segment AB by adopting a letter, obtaining the length ratio thereof in the energy channel according to the position, where the pedal is, and calculating energy channel integer countingof the target interval. Integer operation on a non-integer energy channel address is carried out; gamma spectrum analysis is conveniently carried out based on a deconvolution iterative algorithm of aresponse matrix; and the gamma spectrum analysis efficiency is increased.

Description

technical field [0001] The invention relates to the fields of gamma spectrometer, gamma energy spectrum analysis, on-site measurement and radioactive monitoring in water, in particular to a process and method for redistribution of channel counts for gamma spectrum analysis. Background technique [0002] In the energy spectrum analysis process of the gamma spectrometer, the energy calibration of the spectrometer is usually required. After the calibration, since the energy calibration coefficients are usually fitted by polynomials, the coefficients are usually floating-point numbers that cannot be predicted in advance, so passing the energy calibration will cause the track address to change from an integer to a floating-point number. It is not conducive to the gamma spectrum analysis based on the deconvolution iterative algorithm based on the response matrix, and it is also not conducive to the comparison between the Monte Carlo simulation results and the experimental results,...

AI Technical Summary

Problems solved by technology

After the calibration, since the energy calibration coefficients are usually fitted by polynomials, the coefficients are usually floating-point numbers that cannot be predicted in advance, so passing the energy calibration will cause the address to change from an integer to a floating-point number

It is not conducive to the gamma spectrum analysis based on the deconvolution iterative algorithm based on the response matrix, and it is also not conducive to the comparison between the Monte Carlo simulation results and the experimental results, because the abscissa of the usual Monte Carlo simulation results is usually an integer energy track boundary

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