A method for identifying peak shape of seawater radionuclide

Abstract

This invention proposes a method for determining the peak shape of radionuclides in seawater. A narrow Gaussian kernel is constructed as an ideal peak template. A shape transformation model is built using the difference between the narrow Gaussian kernel and the mean of its transformed value, ensuring that shape determination is unaffected by background shape. This shape transformation model is used to traverse all channels within the target range of the radionuclide energy spectrum, convolving with the energy spectrum data of each channel to obtain shape transformation values ​​reflecting the peak shape. The ratio of the shape transformation value to its standard deviation yields the peak shape significance index for each channel, reflecting the significance of the peak shape within that channel. Finally, the sharpness of each radionuclide peak is determined by comparing the peak shape significance indices corresponding to different nuclide peaks. This invention effectively overcomes the problems of peak shape determination caused by large background interference and weak signals in marine field measurements, achieving automated and quantitative evaluation of peak sharpness, and providing crucial shape parameter basis for accurate nuclide identification and subsequent quantitative calculations.

Description

Technical Field

[0001] This invention belongs to the field of seawater detection technology, specifically, it relates to a method for determining the peak shape of radioactive nuclides in seawater. Background Technology

[0002] Currently, in the comprehensive measurement of marine radioactive materials, target nuclides form energy spectrum peaks within their characteristic energy ranges. However, the peak shapes detected in practice are diverse. It is not only necessary to clearly distinguish each peak visually and intuitively perceive its width, but also to achieve automatic and accurate peak shape identification and parameter extraction through computers. This is a key technological requirement for improving my country's marine radioactivity measurement capabilities.

[0003] However, due to the complex and variable marine environment, measurements are easily affected by various interference factors, manifesting as irregular fluctuations in the amplitude of the detection voltage signal, leading to distortion or blurring of the energy spectrum peak shape, making it difficult to quickly and accurately determine the true peak shape corresponding to radionuclides in seawater. Existing peak shape detection methods lack stability and accuracy under such interference, limiting the reliability of on-site measurements.

[0004] Therefore, in order to meet the high accuracy requirements of marine radioactivity field monitoring, it is urgent to develop a method that can resist environmental interference and accurately identify and characterize the peak shape of radionuclides, so as to improve the effectiveness and reliability of radioactivity measurement in complex marine environments. Summary of the Invention

[0005] The purpose of this invention is to provide a method for determining the shape of radionuclide peaks in seawater, so as to improve the automatic determination of the shape of radionuclide peaks.

[0006] The present invention is implemented using the following technical solutions:

[0007] A method for determining the peak shape of radionuclides in seawater is proposed, including:

[0008] Traverse all channels within the target range of the radionuclide energy spectrum; the target range covers one or more radionuclide peaks of the shape to be determined;

[0009] Constructing a shape transformation model based on a narrow Gaussian kernel function:

[0010] ;

[0011] in, , ; , Used to define the width of the kernel. for The absolute value of the maximum value; For all The average value;

[0012] The shape transformation value of each channel within the target interval is calculated using a shape transformation model.

[0013] The ratio of the shape transformation value to the standard deviation is calculated to obtain the peak significance index;

[0014] The shape of each radionuclide peak is determined by the absolute value of the peak shape significance index.

[0015] In some embodiments of the present invention, the shape of each radionuclide peak is determined based on the absolute value of the peak shape significance index, specifically including:

[0016] For a given range of a radionuclide peak, multiple channels are used to obtain a sequence of peak shape significance indicators. The peak shape is then determined based on sequence variations or extreme values.

[0017] In some embodiments of the present invention, the ratio of the shape transformation value to the standard deviation is calculated using the following model:

[0018] ;

[0019] Among them, coefficient Indicates the first Data from each channel, left and right indivual, The average value across all channels. For the first Channel data values, For the first left and right of the passage Transformation values ​​within a range of channels.

[0020] Compared with existing technologies, the advantages and positive effects of this invention are as follows: In the seawater radionuclide peak shape discrimination method proposed in this invention, a narrow Gaussian kernel is constructed as an ideal peak template. A shape transformation model is built using the difference between the narrow Gaussian kernel and the mean of its transformed value, ensuring that shape discrimination is unaffected by background shape. Using this shape transformation model, all channels within the target range of the radionuclide energy spectrum are traversed, and convolution is performed with the energy spectrum data of each channel to obtain a shape transformation value reflecting the shape of the nuclide peak. The ratio of the shape transformation value to its standard deviation is used to obtain the peak shape significance index for each channel. This index reflects the significance of the peak shape of the channel. Finally, the sharpness of each radionuclide peak is determined by comparing the peak shape significance indices corresponding to different nuclide peaks. This invention effectively overcomes the problem of peak shape discrimination caused by large background interference and weak signals in marine field measurements, achieving automated and quantitative evaluation of peak sharpness, and providing key shape parameter basis for accurate nuclide identification and subsequent quantitative calculation.

[0021] Other features and advantages of the present invention will become clearer after reading the detailed description of the embodiments of the present invention in conjunction with the accompanying drawings. Attached Figure Description

[0022] The accompanying drawings, as part of this invention, are provided to further illustrate the invention. The illustrative embodiments and descriptions are used to explain the invention but do not constitute an undue limitation thereof. Clearly, the drawings described below are merely some embodiments; those skilled in the art can obtain other drawings based on these drawings without creative effort. Figure 1

[0023] Figure 1 This is a flowchart of the method for determining the peak shape of seawater radionuclides proposed in this invention;

[0024] Figure 2 This refers to the energy spectrum data curves of all channels within the target interval in this embodiment of the invention;

[0025] Figure 3 for Figure 2 Select the peak intervals for peak shape determination;

[0026] Figure 4 for Figure 3 The calculated peak shape of the first peak;

[0027] Figure 5 for Figure 3 The calculated peak shape of the second peak;

[0028] Figure 6 for Figure 3 The calculated shape of the third peak. Detailed Implementation

[0029] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments will be clearly and completely described below with reference to the accompanying drawings. The following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0030] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.

[0031] This invention aims to propose a method for determining the peak shape of radionuclides in seawater. By sliding a narrow, standard Gaussian nucleus across the radionuclide energy spectrum curve to calculate the correlation, the sharpness of the peak is detected, thereby determining the shape of the target nuclide peak, such as whether it is a sharp peak or a broad peak. This serves as a reference to improve the accuracy of subsequent qualitative identification and quantitative calculation.

[0032] like Figure 1As shown, the method for determining the peak shape of seawater radionuclides proposed in this invention includes:

[0033] S1: Traverse all channels within the target range of the radionuclide energy spectrum.

[0034] The target range refers to one or more intervals within which the peak of the target radionuclide exists. For example... Figure 2 The energy spectrum data curve shown traverses all channels within a target range, which covers all nuclide peaks whose shapes need to be determined. If there are multiple ranges, each range's contained peaks are traversed separately. In this embodiment, multi-point smoothing filtering can be applied to all peak ranges requiring peak shape determination; in this embodiment, channels 301 to 785 are selected, covering the peaks of three radionuclides, such as... Figure 3 As shown, this embodiment does not perform filtering; it uses the raw data for calculation and discrimination.

[0035] S2: Construct a shape transformation model based on a narrow Gaussian kernel function, and use the shape transformation model to calculate the shape transformation value of each channel within the target interval.

[0036] Construct a narrow Gaussian kernel as the ideal peak template: , Determine the width of the Gaussian kernel and adjust it according to actual needs, for example, take... When the range is from -3 to 3, three points are used on the left and right sides for each channel, and seven values ​​are calculated for G-3, G-2, G-1, G0, G1, G2 and G3 respectively.

[0037] Constructing a transformation model:

[0038] ;

[0039] in, ; , for The absolute value of the maximum value; For all The average value.

[0040] The transformation model extracts the difference in shape between the current data and the ideal peak by subtracting the Gaussian function value from its mean, thereby enabling the assessment of peak sharpness.

[0041] S3: Calculate the ratio of the peak shape transformation value to the standard deviation to obtain the peak shape significance index:

[0042] ;

[0043] Among them, coefficient Indicates the first Data from each channel, left and right indivual, The average value across all channels. For the first Channel data values, For the first left and right of the passage Transformation values ​​within a range of channels.

[0044] It reflects the significance of the peak shape. The smaller the absolute value, the less sharp the peak shape is, and the larger the absolute value, the more sharp the peak shape is. High sharpness indicates that the peak shape is sharp, and low sharpness indicates that the peak shape is broad.

[0045] S4: Determine the shape of each radionuclide peak based on the peak shape significance index.

[0046] The peak shape significance index calculated above For each channel, a set of data for the region containing a radionuclide peak is obtained. In practical discrimination, a set of value sequences is used to determine the outcome. The degree of change in the value sequence or finding its extreme values ​​can be used to determine the sharpness of the peak.

[0047] like Figures 4 to 6 As shown, in this embodiment, a set of calculations was performed on the channel with a peak range of 360-375. The value sequence was analyzed, and channel 366 was found to best represent the shape of the entire peak. =-115.199826; Similarly, the result calculated for 643 channels. =-91.416629, calculated for 730 channels. =-82.571181, the absolute value of the data calculated by channel 366 is the largest, and the peak shape of this channel is the sharpest. The absolute value of the data calculated by channel 730 is the smallest, and the peak shape of this channel is the widest.

[0048] It should be noted that the above description is not intended to limit the present invention, and the present invention is not limited to the examples given above. Any changes, modifications, additions or substitutions made by those skilled in the art within the scope of the present invention should also fall within the protection scope of the present invention.

Claims

1. A method for determining the peak shape of radioactive nuclides in seawater, characterized in that, include: Traverse all channels within the target range of the radionuclide energy spectrum; the target range covers one or more radionuclide peaks of the shape to be determined; Constructing a shape transformation model based on a narrow Gaussian kernel function: ; in, , ; , Used to define the width of the kernel. for The absolute value of the maximum value; For all The average value; The shape transformation value of each channel within the target interval is calculated using a shape transformation model. The ratio of the shape transformation value to the standard deviation is calculated to obtain the peak significance index; The shape of each radionuclide peak is determined by the absolute value of the peak shape significance index.

2. The method for determining the shape of radioactive nuclides in seawater according to claim 1, characterized in that, The shape of each radionuclide peak is determined based on the absolute value of the peak shape significance index, specifically including: For a given range of a radionuclide peak, multiple channels are used to obtain a sequence of peak shape significance indicators. The peak shape is then determined based on sequence variations or extreme values.

3. The method for determining the peak shape of seawater radionuclides according to claim 1, characterized in that, The ratio of the shape transformation value to the standard deviation is calculated using the following model: ； Among them, coefficient Indicates the first Data from each channel, left and right indivual, The average value across all channels. For the first Channel data values, For the first left and right of the passage Transformation values ​​within a range of channels.

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