Self-checking method for scintillator of muon detector

By constructing a muon scintillator self-test model and introducing a solid angle correction factor, the cumbersome operation problem of traditional scintillator self-test methods is solved, efficient and automated self-test of muon detectors is achieved, and detection efficiency and data reliability are improved.

CN120847841APending Publication Date: 2025-10-28CHINA UNIV OF GEOSCIENCES (WUHAN)
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Patent Information

Application Number
CN202510701971.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-28
Publication Date
2025-10-28

AI Technical Summary

Technical Problem

Traditional scintillator self-test methods are cumbersome to operate and have low data analysis efficiency, making it difficult to meet real-time or high-frequency self-test requirements. In particular, channel-by-channel checking in a multi-channel system is time-consuming and labor-intensive, affecting the recognition rate and positioning accuracy of muon events.

Method used

A self-testing model for muon scintillators is constructed. The measured number of muons is determined through the self-testing model, and a solid angle correction factor is introduced for correction. The mean and variance of the geometrically corrected number of muons are calculated. Combined with the anomaly evaluation function, the automatic identification of the scintillator self-testing results is realized.

Benefits of technology

It realizes all-weather, non-invasive self-test without the need for external excitation sources, supports parallel detection and synchronous evaluation of all channels, improves detection efficiency, detects scintillator anomalies in a timely manner, avoids wasted detection time, and increases data reliability.

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Abstract

The invention provides a muon detector scintillator self-checking method, and relates to the field of muon detectors, and the method comprises the steps: constructing a muon scintillator self-checking model, and determining the number of actually measured muons through the muon scintillator self-checking model; introducing a solid angle correction factor, and correcting the actually measured muon number to obtain a geometrically corrected muon number; and calculating an average value and a variance of the muon number after geometric correction, and obtaining a scintillator self-inspection result of the muon detector in combination with an anomaly evaluation function. The technical scheme of the invention is suitable for health monitoring in the field long-term detection operation process of the scintillator, and can find the abnormality of the scintillator in time, thereby avoiding the waste of detection time, and improving the reliability of data.
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Description

Technical Field

[0001] This application relates to the field of muon detectors, and more particularly to a self-testing method for a muon detector scintillator. Background Technology

[0002] During long-term operation of the muon detector, problems such as aging of scintillator materials, detachment of embedded optical fibers, damage to silicon photomultiplier tubes, failure of electronic channels, or time synchronization drift may occur, leading to decreased detection efficiency, degradation of spatial resolution, and an increase in noise events, which in turn affect the recognition rate and positioning accuracy of muon events.

[0003] Traditional scintillator self-testing typically employs a point-source scanning method. This method uses a standard point source to illuminate each scintillator for a certain period, collecting channel response data and identifying abnormal channels through statistical analysis. While this method has high accuracy in identifying abnormal channels, it is cumbersome to operate and has low data analysis efficiency. In multi-channel systems, checking each channel one by one is time-consuming and laborious, making it difficult to meet the needs of real-time or high-frequency self-testing. Summary of the Invention

[0004] The purpose of this invention is to provide a scintillator self-testing method for muon detectors, in order to solve the technical problem that traditional scintillator self-testing methods are difficult to meet the requirements of real-time or high-frequency self-testing.

[0005] The above-mentioned objective of this application is achieved through the following technical solution: S1: Construct a self-testing model for muon scintillators and determine the measured number of muons using the self-testing model; S2: Introduce a solid angle correction factor to correct the measured muon number and obtain the geometrically corrected muon number; S3: Calculate the mean and variance of the geometrically corrected muon number, and combine them with the anomaly evaluation function to obtain the scintillator self-test results of the muon detector.

[0006] Optionally, step S1 includes: The self-testing model of the muon scintillator is constructed as follows: Scintillators include: upper scintillators and lower scintillators; For a scintillator strip in a layer of scintillators, in time... The number of muons it received Expressed using the following integral formula:

[0007] in The range of solid angles that the scintillator can accept; Muon flux represents the number of muons that pass through a certain direction and angle per unit area, unit solid angle, and unit time. For the first Detection efficiency of root scintillators; This represents the effective area of ​​the projection along the incident direction. Represents the differential of a solid angle.

[0008] Optionally, step S1 may further include: Assume the detector is symmetrical and the scintillator structure has uniform efficiency, that is:

[0009] in For muon flux at sea level, The zenith angle at which the arrow strikes the target. It is a constant; Substituting equation (2) into equation (1), we get: .

[0010] Optionally, step S1 may further include: If the area of ​​each scintillator is The total area of ​​the scintillator detection plane is The distance between the upper and lower detection planes is Then the solid angle ,in for point to The vector, specifically the solid angle of each scintillator, is represented as:

[0011] in The area is The coordinates of a point on the scintillator Let the coordinates of a point on the entire scintillator detection plane be given. Equation (4) represents the sum of solid angle contributions between the two layers of area elements. In fact: Substituting formula (4) into formula (3) yields the measured muon number, as follows: .

[0012] Optionally, step S2 includes: Introducing solid angle correction factor The measured muon number is corrected as follows: Each scintillator is numbered from top to bottom according to the detector structure. Let the number be... The effective solid angle of the root scintillator is And the maximum effective solid angle corresponding to the scintillator in the geometrically optimal central region. As a benchmark, the solid angle correction factor is defined as follows:

[0013] By measuring the muon number Multiply by the corresponding correction factor The geometrically corrected muon number can be obtained. .

[0014] Optionally, step S3 includes: Assuming that the count fluctuations of scintillators approximately follow a normal distribution, the following anomaly assessment function is used to determine whether a scintillator is abnormal:

[0015] in This represents the mean of the geometrically corrected muon number; The variance of the geometrically corrected muon number; The results of the scintillator self-test include: normal, slightly abnormal, and obviously abnormal.

[0016] An electronic device includes a processor, a memory, a user interface, and a network interface. The memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory to cause the electronic device to perform a muon detector scintillator self-test method.

[0017] A computer-readable storage medium storing instructions that, when executed, perform a muon detector scintillator self-test method.

[0018] The beneficial effects of the technical solution provided in this application are: Leveraging the spatial uniformity and temporal stability of muon flux, a muon scintillator self-checking model is constructed to assess the operational status of scintillator channels. A solid angle factor is introduced to correct for the non-uniformity of muon angles received by each scintillator. A normalized scintillator anomaly evaluation function is applied to identify and classify abnormal scintillator channels. This technical solution requires no external excitation source and possesses all-weather, non-invasive self-checking capabilities, effectively overcoming the problems of cumbersome operation and reliance on manual labor and external equipment in traditional methods. Simultaneously, it supports parallel detection and synchronous evaluation of all channels, improving detection efficiency. This technical solution is suitable for health monitoring during long-term field detection of scintillators, enabling timely detection of scintillator anomalies, avoiding wasted detection time, and increasing data reliability. Attached Figure Description

[0019] The present application will be further described below with reference to the accompanying drawings and embodiments. In the accompanying drawings: Figure 1 This is a flowchart of an embodiment of this application; Figure 2 This is a diagram of a muon striking a scintillator in an embodiment of this application; Figure 3 This is a diagram showing the self-test results of the scintillator in the embodiments of this application; Figure 4 This is a diagram showing the specific location distribution of muons striking the scintillator in the embodiments of this application; Figure 5 This is a schematic diagram of the electronic device structure in the embodiments of this application. Detailed Implementation

[0020] To provide a clearer understanding of the technical features, objectives, and effects of this application, the specific embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0021] Embodiments of this application provide a self-testing method for a muon detector scintillator.

[0022] Please refer to Figure 1 , Figure 1 This is a flowchart of a self-test method for a muon detector scintillator according to an embodiment of this application, including: S1: Construct a self-testing model for muon scintillators and determine the measured number of muons using the self-testing model; As one embodiment, the present invention performs a self-test on the detector's plastic scintillator using a high-flux natural muon source with consistent flux at any location on Earth. A muon event is recorded only when both detectors respond within a certain time window.

[0023] S2: Introduce a solid angle correction factor to correct the measured muon number and obtain the geometrically corrected muon number; S3: Calculate the mean and variance of the geometrically corrected muon number, and combine them with the anomaly evaluation function to obtain the scintillator self-test results of the muon detector.

[0024] As one embodiment, the flowchart of the specific scintillator self-test method is as follows: Figure 1 As shown.

[0025] Step S1 includes: As one example, the flux distribution of cosmic ray muons on the Earth's surface exhibits high spatial uniformity. Although factors such as geomagnetic latitude and altitude have some influence on muon flux, the average muon flux varies relatively little within regions of similar altitude and latitude. A schematic diagram of a muon detector receiving muons is shown below. Figure 2 As shown.

[0026] Step S1 includes: The self-testing model of the muon scintillator is constructed as follows: Scintillators include: upper scintillators and lower scintillators; For a scintillator strip in a layer of scintillators, in time... The number of muons it received Expressed using the following integral formula:

[0027] in The range of solid angles that the scintillator can accept; Muon flux represents the number of muons that pass through a certain direction and angle per unit area, unit solid angle, and unit time. For the first Detection efficiency of root scintillators; This represents the effective area of ​​the projection along the incident direction. Represents the differential of a solid angle.

[0028] Step S1 also includes: Assume the detector is symmetrical and the scintillator structure has uniform efficiency, that is:

[0029] in For muon flux at sea level, The zenith angle at which the arrow strikes the target. It is a constant; Substituting equation (2) into equation (1), we get: .

[0030] As one example, without considering the solid angle, the number of muons received by a scintillator with a fixed structure and consistent detection efficiency within a certain time is constant. However, in a muon detector, the event is only counted as valid if both the upper and lower scintillators are triggered simultaneously. Therefore, for scintillators at different positions in the detector array, the number of muons effectively received is determined by the solid angle defined by the corresponding regions of the upper and lower layers.

[0031] Step S1 also includes: If the area of ​​each scintillator is The total area of ​​the scintillator detection plane is The distance between the upper and lower detection planes is Then the solid angle ,in for point to The vector, specifically the solid angle of each scintillator, is represented as:

[0032] in The area is The coordinates of a point on the scintillator Let the coordinates of a point on the entire scintillator detection plane be given. Equation (4) represents the sum of solid angle contributions between the two layers of area elements. In fact: Substituting formula (4) into formula (3) yields the measured muon number, as follows: .

[0033] Step S2 includes: As an example, as can be seen from formula (5), the solid angle of muons that can be received by the edge scintillator is significantly smaller than that of the central region due to the lack of neighboring detection units. This geometric limitation will lead to a significant decrease in the muon flux that can penetrate the edge scintillator and be effectively detected per unit time, resulting in a systematically low count rate. Without correction, the count frequency of the edge scintillator will be lower than that of the central scintillator. If this geometric effect is not corrected in the analysis, it is very likely that normal scintillators in the edge region will be mistakenly identified as abnormal channels. Therefore, in the detector fault identification and diagnosis based on count, a solid angle correction factor must be introduced to compensate for the count deviation caused by the difference in viewing angle of the detection units at different positions, thereby improving the accuracy and robustness of the system self-test. To eliminate the count deviation of the edge scintillator caused by the detector geometry, a solid angle correction factor is introduced. This is to achieve normalization of scintillator counts at different locations.

[0034] Introducing solid angle correction factor The measured muon number is corrected as follows: Each scintillator is numbered from top to bottom according to the detector structure. Let the number be... The effective solid angle of the root scintillator is And the maximum effective solid angle corresponding to the scintillator in the geometrically optimal central region. As a benchmark, the solid angle correction factor is defined as follows:

[0035] By measuring the muon number Multiply by the corresponding correction factor The geometrically corrected muon number can be obtained. .

[0036] As one embodiment, the solid angle correction factor reflects the difference in geometric receiving capability of each scintillator relative to the central reference value. Combining the three-dimensional spatial layout of the scintillator detectors with the angular distribution characteristics of the muon flux, the above-mentioned solid angle correction method can achieve a unified evaluation of the response capability of each detection channel, providing theoretical support and technical foundation for the performance calibration and online self-testing of the scintillator array system.

[0037] Step S3 includes: As one example, even after solid angle correction is applied to the scintillators, their counts will still fluctuate naturally due to statistical errors. By calculating the mean and standard deviation of the counts, a reasonable statistical threshold can be established to determine whether the counts of each scintillator are within the normal range.

[0038] Assuming that the count fluctuations of scintillators approximately follow a normal distribution, the following anomaly assessment function is used to determine whether a scintillator is abnormal:

[0039] in This represents the mean of the geometrically corrected muon number; The variance of the geometrically corrected muon number; The results of the scintillator self-test include: normal, slightly abnormal, and obviously abnormal.

[0040] As one example, the specific experimental results are as follows: Figure 4 As shown: From Figure 3 As can be clearly observed, scintillators No. 7 and No. 8 are marked in red, indicating significant abnormalities; scintillator No. 31 is marked in orange, indicating a slight abnormality; and the remaining normal scintillators are marked in blue. Visualizing the scintillator status through imaging allows for intuitive identification of the health status of scintillator channels, effectively improving the efficiency of locating and diagnosing abnormal scintillators.

[0041] As one embodiment, further imaging of the detector layer with the anomalous scintillator is performed, and an xoy coordinate system is established for the scintillator detector, with the position of the muon striking the scintillator as the horizontal and vertical coordinates. Specific results are as follows: Figure 4 As shown in the figure, the two red dashed boxes represent the abnormality of scintillators 7 and 9 in layer y, which prevents the detector from properly identifying the muons hitting these two scintillators, causing data anomalies and affecting detection accuracy.

[0042] In summary, this method achieves efficient, accurate, and automated scintillator channel state identification without affecting normal detection tasks, and is suitable for anomaly localization in large array muon scintillator detectors.

[0043] This application also discloses an electronic device. (See reference...) Figure 5 , Figure 5 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of this application. The electronic device 500 may include: at least one processor 501, at least one network interface 504, a user interface 503, a memory 505, and at least one communication bus 502.

[0044] The communication bus 502 is used to enable communication between these components.

[0045] The user interface 503 may include a display screen, and optionally, the user interface 503 may also include a standard wired interface or a wireless interface.

[0046] The network interface 504 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0047] This application also discloses a computer-readable storage medium storing a plurality of instructions adapted for loading by a processor to execute the above-described muon detector scintillator self-test method.

[0048] The above are merely exemplary embodiments of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure.

[0049] This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure. The specification and embodiments are to be considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. A self-testing method for a muon detector scintillator, characterized in that, The method includes the following steps: S1: Construct a self-testing model for muon scintillators and determine the measured number of muons using the self-testing model; S2: Introduce a solid angle correction factor to correct the measured muon number and obtain the geometrically corrected muon number; S3: Calculate the mean and variance of the geometrically corrected muon number, and combine them with the anomaly evaluation function to obtain the scintillator self-test results of the muon detector.

2. The self-testing method for a muon detector scintillator as described in claim 1, characterized in that, Step S1 includes: The self-testing model of the muon scintillator is constructed as follows: Scintillators include: upper scintillators and lower scintillators; For a scintillator strip in a layer of scintillators, in time... The number of muons it received Expressed using the following integral formula: in The range of solid angles that the scintillator can accept; Muon flux represents the number of muons that pass through a certain direction and angle per unit area, unit solid angle, and unit time. For the first Detection efficiency of root scintillators; This represents the effective area of ​​the projection along the incident direction. Represents the differential of a solid angle.

3. The self-testing method for a muon detector scintillator as described in claim 2, characterized in that, Step S1 also includes: Assume the detector is symmetrical and the scintillator structure has uniform efficiency, that is: in For muon flux at sea level, The zenith angle at which the arrow strikes the target. It is a constant; Substituting equation (2) into equation (1), we get: 。 4. The self-testing method for a muon detector scintillator as described in claim 3, characterized in that, Step S1 also includes: If the area of ​​each scintillator is The total area of ​​the scintillator detection plane is The distance between the upper and lower detection planes is Then the solid angle ,in for point to The vector, specifically the solid angle of each scintillator, is represented as: in The area is The coordinates of a point on the scintillator Let the coordinates of a point on the entire scintillator detection plane be given. Equation (4) represents the sum of solid angle contributions between the two layers of area elements. In fact: Substituting formula (4) into formula (3) yields the measured muon number, as follows: 。 5. The self-testing method for a muon detector scintillator as described in claim 4, characterized in that, Step S2 includes: Introducing solid angle correction factor The measured muon number is corrected as follows: Each scintillator is numbered from top to bottom according to the detector structure. Let the number be... The effective solid angle of the root scintillator is And the maximum effective solid angle corresponding to the scintillator in the geometrically optimal central region. As a benchmark, the solid angle correction factor is defined as follows: By measuring the muon number Multiply by the corresponding correction factor The geometrically corrected muon number can be obtained. .

6. The self-testing method for a muon detector scintillator as described in claim 1, characterized in that, Step S3 includes: Assuming that the count fluctuations of scintillators approximately follow a normal distribution, the following anomaly assessment function is used to determine whether a scintillator is abnormal: in This represents the mean of the geometrically corrected muon number; The variance of the geometrically corrected muon number; The results of the scintillator self-test include: normal, slightly abnormal, and obviously abnormal.

7. An electronic device, characterized in that, The device includes a processor, a memory, a user interface, and a network interface. The memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory to cause the electronic device to perform the method as described in any one of claims 1-6.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed by a computer, perform the method as described in any one of claims 1-6.

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