Method, device, equipment and medium for determining the distribution state of anti-electron neutrinos

Abstract

The present application discloses a method, apparatus, device, and medium for determining the distribution state of anti-electron neutrinos. The method comprises: obtaining a particle signal set transmitted by a detector sensitive body array doped with boron-10; processing the particle signals in the particle signal set to obtain a processing result; and determining the distribution state of the anti-electron neutrinos in the environment of the detector sensitive body array based on the processing result.

Description

Technical Field

[0001] The present application relates to the field of physical detection technology, and in particular to a method, device, equipment and medium for determining the distribution state of anti-electron neutrinos. Background Art

[0002] In practical applications, antielectron neutrinos are typically detected through inverse beta decay (IBD). In practice, organic scintillators doped with gadolinium are often used as detector sensors. For example, plastic scintillators arrays, formed by wrapping a gadolinium-containing material around a plastic scintillator, or liquid scintillators doped with gadolinium are used to capture neutrons produced during IBD and detect antielectron neutrinos. However, these detector sensors have low detection efficiency for antielectron neutrinos. Summary of the Invention

[0003] Based on the above problems, the embodiments of the present application provide a method, apparatus, device and medium for determining the distribution state of anti-electron neutrinos.

[0004] The technical solution provided by the embodiments of this application is as follows:

[0005] The present embodiment first provides a method for determining the distribution state of anti-electron neutrinos, the method comprising:

[0006] Acquire a collection of particle signals transmitted by a detector sensitive array doped with boron-10;

[0007] Processing the particle signals in the particle signal set to obtain a processing result;

[0008] Based on the processing result, the distribution state of the anti-electron neutrinos in the environment where the detector sensitive body array is located is determined.

[0009] The embodiment of the present application further provides a device for determining the distribution state of anti-electron neutrinos, the device comprising:

[0010] An acquisition module, configured to acquire a particle signal set transmitted by a detector sensitive body array doped with boron-10;

[0011] A processing module, used for processing the particle signals in the particle signal set to obtain a processing result;

[0012] The determination module is used to determine the distribution state of anti-electron neutrinos in the environment where the detector sensitive body array is located based on the processing results.

[0013] An embodiment of the present application further provides an electronic device comprising a processor and a memory; a computer program is stored in the memory, and when the computer program is executed by the processor, the method for determining the distribution state of anti-electron neutrinos provided in any of the previous embodiments can be implemented.

[0014] An embodiment of the present application further provides a computer-readable storage medium, wherein the storage medium stores a computer program; when the computer program is executed by a processor of an electronic device, the method for determining the distribution state of anti-electron neutrinos as described in any of the previous embodiments can be implemented.

[0015] The method for determining the distribution state of anti-electron neutrinos provided in the embodiments of the present application has a large thermal neutron capture cross section of boron-10. Therefore, the number of particle signals in a particle signal set obtained by a detector sensitive body array doped with boron-10 can be improved compared to the number of particle signals captured by a detector sensitive body doped with gadolinium in the related art. Moreover, since the thermal neutron capture cross section of boron-10 is large, the capture efficiency of particle signals can be improved by doping the detector sensitive body array with a lower concentration of boron-10, thereby reducing the negative impact of boron-10 doping on the luminous efficiency of the detector sensitive body. At the same time, since the products of the reaction of boron-10 with neutrons are helium-4 and / or lithium-7, the detection efficiency of these particle signals is higher than the detection efficiency of gamma rays released after gadolinium captures neutrons, thereby reducing the difficulty of detecting particle signals in the particle signal set and improving the detection efficiency of particle signals.

[0016] On the other hand, due to the above-mentioned advantages of the detector sensitive body array in the embodiment of the present application, it is possible to directly improve the accuracy of the processing results obtained by processing the particle signals in the particle signal set, and the distribution state of anti-electron neutrinos in the environment in which the detector sensitive body array is located determined based on the processing results. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic flow chart of a method for determining the distribution state of anti-electron neutrinos provided in an embodiment of the present application;

[0018] Figure 2 A front view of the plastic scintillator provided in an embodiment of the present application;

[0019] Figure 3 A top view of a plastic scintillator provided in an embodiment of the present application;

[0020] Figure 4 A side view of a plastic scintillator provided in an embodiment of the present application;

[0021] Figure 5 A schematic diagram of the structure of a detector sensitive body array provided in an embodiment of the present application;

[0022] Figure 6 A schematic diagram of the principle of obtaining pulse discrimination results provided in an embodiment of the present application;

[0023] Figure 7 A schematic diagram of the structure of a signal distribution circuit provided in an embodiment of the present application;

[0024] Figure 8 A schematic diagram of a structure for generating a trigger signal by a programmable logic module according to an embodiment of the present application;

[0025] Figure 9 A schematic diagram of the structure of a double-ended compliant unit provided in an embodiment of the present application;

[0026] Figure 10 A schematic diagram of the structure of a multi-channel trigger unit provided in an embodiment of the present application;

[0027] Figure 11 A schematic diagram of the data storage structure of the trigger time in the trigger signal generating unit provided in an embodiment of the present application;

[0028] Figure 12 A schematic diagram of a circuit structure for obtaining processing results provided in an embodiment of the present application;

[0029] Figure 13 A schematic diagram of the structure of a device for determining the distribution state of anti-electron neutrinos provided in an embodiment of the present application;

[0030] Figure 14 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0031] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application.

[0032] It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.

[0033] Currently, anti-electron neutrino detection is typically achieved through IBD, using organic scintillators as detector sensitive bodies. In practical applications, organic scintillators used for anti-electron neutrino detection mainly include liquid scintillators and plastic scintillators.

[0034] In practical applications, liquid scintillators can be doped with substances containing gadolinium or lithium-6 to increase the probability of neutron capture. However, most liquid scintillators are toxic, volatile, or flammable. These unique physical and chemical properties complicate the packaging, setup, and operation of liquid scintillator detectors.

[0035] Compared with liquid scintillators, the physical and chemical properties of plastic scintillators are more stable, making plastic scintillator detectors relatively easy to operate and move.

[0036] In practical applications, multiple plastic scintillators are typically packaged into a plastic scintillator array. In practical applications, a gadolinium-containing material may also be wrapped around the plastic scintillator array to increase the probability of capturing neutrons.

[0037] However, both liquid and plastic scintillators have difficulties in detecting and analyzing gamma rays due to the large number, high energy, and uncertain emission direction of gamma rays released after neutron capture by the gadolinium doped therein. Consequently, the detection efficiency of these scintillators is not high, which directly leads to difficulties in the subsequent identification of IBD events and low identification efficiency.

[0038] In practical applications, there is also a technical solution that uses lithium-6-doped plastic scintillators to capture neutrons released in IBD events to detect the distribution state of anti-electron neutrinos. However, since highly concentrated lithium-6 is a controlled material and has a small thermal neutron reaction cross-section and low natural abundance, compared with the aforementioned solution, the technical solution of detecting anti-electron neutrinos using lithium-6-doped plastic scintillators does not substantially improve detection efficiency.

[0039] Based on the above problems, an embodiment of the present application provides a method for determining the distribution state of anti-electron neutrinos. This method uses a detector sensitive body array doped with boron-10 to obtain a particle signal set, which can increase the capture probability of neutrons during an IBD event, thereby improving the richness and accuracy of the particle signal set transmitted by the detector sensitive body array, and further improving the processing results obtained by processing the particle signals in the particle signal set, as well as the accuracy of the anti-electron neutrino distribution state in the environment of the detector sensitive body array determined based on the processing results.

[0040] It should be noted that the method for determining the distribution state of anti-electron neutrinos provided in the embodiments of the present application can be implemented by a processor of an electronic device. The above-mentioned processor can be at least one of an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a central processing unit (CPU), a controller, a microcontroller, and a microprocessor.

[0041] Exemplarily, the electronic device may be a physical device or a virtual machine device.

[0042] Exemplarily, the electronic device may be a computer device.

[0043] Figure 1 A flow chart of a method for determining the distribution state of anti-electron neutrinos provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the process may include the following steps:

[0044] Step 101: Acquire a particle signal set transmitted by a detector sensitive body array doped with boron-10.

[0045] In one embodiment, the detector sensitive body array may include multiple detector sensitive bodies; illustratively, the number of detector sensitive bodies in the detector sensitive body array may be determined based on actual detection requirements; illustratively, the detection requirements may include at least one of detection accuracy, detection time, and the degree of radiation interference suppression in the environment to be detected.

[0046] In one embodiment, the detector sensitive body may include a plastic scintillator.

[0047] In one embodiment, the particle signal set may include multiple particle signals; illustratively, the number of particle signals in the particle signal set may be associated with the number of detector sensitive bodies in the detector sensitive body array.

[0048] In one embodiment, the particle signals in the particle signal set may include signals of particles released after the detector sensitive body captures neutrons and / or positrons after an IBD event occurs; illustratively, the above-mentioned particle signals may include signals corresponding to helium-4 and / or lithium-7 produced by the reaction between boron-10 doped in the detector sensitive body of the detector sensitive body array and the neutrons, and may also include signals generated after the detector sensitive body captures a positron.

[0049] In one embodiment, the particle signal in the particle signal set can be an optical signal or an electrical signal; exemplarily, the above optical signal or electrical signal can include a single frequency or multiple frequencies; exemplarily, the above optical signal can be an optical signal emitted after the detector sensitive body captures a neutron.

[0050] In one embodiment, the amplitude and / or time of the particle signal output by each detector sensitive body in the detector sensitive body array may be different.

[0051] In one embodiment, an electrical connection channel may be provided between the electronic device and each detector sensitive body in the detector sensitive body array, so that when the detector sensitive body generates a particle signal, the electronic device can obtain the particle signal in real time.

[0052] Step 102: Process the particle signals in the particle signal set to obtain processing results.

[0053] In one embodiment, the processing result can be obtained by any of the following methods:

[0054] The particle signals in the particle signal set are converted, sampled and quantized to obtain a processing result. The processing result at this time can be a digitized and discrete representation of the particle signals in the particle signal set. For example, the data in the processing result can be of a different type from the particle signal. For example, the particle signal can be an optical signal, and the data in the processing result can be an electrical signal. For another example, the particle signal can be an analog signal, and the data in the processing result can be a digital signal.

[0055] The number of particle signals contained in the particle signal set is counted, and the statistical result is determined as the processing result. The processing result at this time can represent the number of particle signals detected per unit time; for example, the unit time can include one day, one hour or one minute, etc., which is not limited in this embodiment of the present application.

[0056] The types of particle signals in the particle signal set are classified, and the particle signals corresponding to helium-4 and / or lithium-7 are determined as target signals. Then, statistics are performed on the target signals to obtain processing results. The processing results at this time may include the particle signals corresponding to helium-4 and / or lithium-7 and the proportion they occupy in the particle signal set.

[0057] Step 103: Based on the processing result, determine the distribution state of anti-electron neutrinos in the environment where the detector sensitive body array is located.

[0058] In one embodiment, the environment in which the detector sensitive body array is located may include the physical space where the detector sensitive body array is located.

[0059] In one embodiment, the above-mentioned environment may include a physical space range whose distance from the location of the detector sensitive body array is less than or equal to a distance threshold; illustratively, the above-mentioned distance threshold can be adjusted or determined according to actual detection requirements and the doping concentration of boron-10 in the detector sensitive body array.

[0060] In one embodiment, the distribution state of anti-electron neutrinos in the above environment may include at least one of whether anti-electron neutrinos exist in the above environment, the distribution density of anti-electron neutrinos, and the change of the number of anti-electron neutrinos over time.

[0061] In one embodiment, the distribution state of anti-electron neutrinos in the above environment can be determined by any of the following methods:

[0062] Based on the processing results, the number of captured particle signals corresponding to at least one of helium-4, lithium-7, and positrons is determined, and the occurrence frequency of anti-electron neutrinos in the above environment is determined.

[0063] Based on the processing results, the particle signals corresponding to at least one of helium-4, lithium-7, and positrons per unit time and their proportion in the particle signal set are determined, and the probability of the anti-electron neutrinos appearing per unit time in the above environment is determined.

[0064] In one embodiment, the distribution state and / or operating state of the nuclear reaction material in the environment may be determined based on the distribution state of the anti-electron neutrinos in the environment.

[0065] From the above, it can be seen that the method for determining the distribution state of anti-electron neutrinos provided in the embodiment of the present application can improve the number of particle signals in the particle signal set obtained by the detector sensitive body array doped with boron-10, compared with the number of particle signals captured by the detector sensitive body doped with gadolinium in the related art, because the thermal neutron capture cross-section of boron-10 is large; and, because the thermal neutron capture cross-section of boron-10 is large, the capture efficiency of particle signals can be improved by doping the detector sensitive body array with a lower concentration of boron-10, thereby reducing the negative impact of doping boron-10 on the luminous efficiency of the detector sensitive body; at the same time, since the products of the reaction of boron-10 with neutrons are helium-4 and / or lithium-7, the detection efficiency of these particle signals is higher than the detection efficiency of gamma rays released after gadolinium captures neutrons, thereby reducing the difficulty of detecting particle signals in the particle signal set and improving the detection efficiency of particle signals.

[0066] On the other hand, due to the above-mentioned advantages of the detector sensitive body array in the embodiment of the present application, it is possible to directly improve the accuracy of the processing results obtained by processing the particle signals in the particle signal set, and the distribution state of anti-electron neutrinos in the environment in which the detector sensitive body array is located determined based on the processing results.

[0067] Detecting anti-electron neutrinos in reactors is a nuclear safeguards technology recommended by the International Atomic Energy Agency (IAEA). The method for determining the distribution state of anti-electron neutrinos provided in the embodiments of the present application can achieve non-intrusive monitoring of reactors. Therefore, the method for determining the distribution state of anti-electron neutrinos provided in the embodiments of the present application can be flexibly applied to the technical fields and scenarios of detecting reactor anti-electron neutrinos.

[0068] Based on the aforementioned embodiments, in the method for determining the distribution state of anti-electron neutrinos provided in the embodiments of the present application, the detector sensitive body includes a plastic scintillator doped with boron-10, two light guides respectively sealed to two ports of the plastic scintillator, and two photomultiplier tubes respectively sealed to the two light guides; the plastic scintillator is hexagonal.

[0069] Figure 2 This is a front view of the plastic scintillator provided in the embodiment of the present application. Figure 2 As shown, the detector sensitive body 2 includes a plastic scintillator 201 doped with boron-10, two light guides 202 respectively sealedly connected to two ports of the plastic scintillator, and photomultiplier tubes 203 respectively sealedly connected to the two light guides 202.

[0070] Figure 3 A top view of the plastic scintillator provided in an embodiment of the present application. Figure 4A side view of a plastic scintillator provided in an embodiment of the present application. Figure 3 as well as Figure 4 As can be seen from the figure, the plastic scintillator 201 is in the shape of a regular hexagonal prism.

[0071] In one embodiment, the plastic scintillator 201 may be in the shape of a solid hexagonal prism.

[0072] In one embodiment, the shape and size of the plastic scintillator 201 can be determined or adjusted according to actual detection requirements, and this embodiment of the present application does not limit this.

[0073] In one embodiment, the light guide 202 may be a special-shaped light guide, which may be made of acrylic material.

[0074] In one embodiment, the photomultiplier tube 203 can convert the weak light signal emitted by the plastic scintillator 201 into an electrical signal, thereby improving the capture efficiency of the light signal emitted by the plastic scintillator 201 .

[0075] Figure 5 This is a schematic diagram of the structure of the detector sensitive body array provided in the embodiment of the present application. Figure 5 As shown, the hexagonal prism shape of the detector sensitive bodies allows multiple detector sensitive bodies to be closely arranged. Furthermore, the cross-section of the arranged detector sensitive bodies can also be a hexagonal prism from a macroscopic perspective. This allows the detector sensitive body array to accommodate a larger number of detector sensitive bodies while maintaining the same volume, thereby improving the detection efficiency of the detector sensitive body array.

[0076] Accordingly, obtaining the particle signal set transmitted by the detector sensitive body array doped with boron-10 can be achieved by the following methods:

[0077] The particle signal set transmitted by the plastic scintillator is obtained through the electrical connection channel with the photomultiplier tube.

[0078] In one embodiment, an electrical connection channel is provided between a hardware interface of the electronic device and two photomultiplier tubes disposed at both ends of each plastic scintillator, thereby enabling acquisition of two particle signals outputted from both ends of the plastic scintillator. Thus, when the number of plastic scintillators is K, the electronic device can acquire 2K particle signals through the electrical connection with the photomultiplier tubes. These 2K particle signals may constitute a particle signal set, where K is an integer greater than 1.

[0079] As can be seen from the above, in the method for determining the distribution state of anti-electron neutrinos provided in the embodiment of the present application, the detector sensitive body includes a hexagonal prism-shaped plastic scintillator doped with boron-10. In this way, when multiple detector sensitive bodies are combined, the tightness of the arrangement between the individual detector sensitive bodies can be improved.

[0080] In the related art, for scintillators doped with lithium-6, the lithium-6 doping concentration needs to be increased to achieve higher neutron detection efficiency. However, a higher lithium-6 doping concentration can affect the scintillator's luminous efficiency. However, in the embodiments of the present application, due to the large thermal neutron capture cross-section of boron-10, the neutron detection efficiency can still be effectively improved even with a lower boron-10 doping concentration, thereby reducing the negative impact of boron-10 doping on the luminous efficiency of the plastic scintillator. Furthermore, two light guides sealed to the two ports of the plastic scintillator can improve the collection efficiency of particle signals. Furthermore, the photomultiplier tube can improve the detection and conversion efficiency of the weak light signals emitted by the plastic scintillator.

[0081] Moreover, when detecting anti-electron neutrinos using the detector sensitive body array provided in the embodiment of the present application, there is no need to install neutron detectors around the detector sensitive body array, thereby reducing the complexity of the detection system design including the detector sensitive body array, and further reducing the difficulty of subsequent data acquisition and processing.

[0082] Based on the aforementioned embodiments, in the method for determining the distribution state of anti-electron neutrinos provided in the embodiments of the present application, the distribution state of anti-electron neutrinos in the environment where the detector sensitive body array is located is determined based on the processing results, which can be achieved by the following methods:

[0083] The processed result is subjected to pulse shape discrimination (PSD) processing to obtain a pulse discrimination result; and based on the pulse discrimination result, the distribution state of anti-electron neutrinos in the environment is determined.

[0084] In one embodiment, the processing result may include a digital representation result after converting, sampling, quantizing and encoding the particle signals in the particle signal set, such as converting the optical signal in the particle signal set into an electrical signal such as a voltage signal, and then sampling, quantizing and encoding the voltage signal to obtain a digital representation of the voltage signal.

[0085] In one embodiment, the pulse identification result may include a result of whether the particle signal set includes an optical signal generated by boron-10 capturing a neutron.

[0086] In one embodiment, the pulse identification result may include the number or density of optical signals generated by boron-10 capturing neutrons contained in the particle signal set. In other words, the pulse identification result may indicate the number or frequency of IBD events.

[0087] In one embodiment, the pulse identification result can be obtained by:

[0088] Based on the voltage signal in the processing result, the current signal is obtained, and the current signal is integrated and calculated based on time to obtain the charge data. Then, the PSD processing of the processing result is realized by the charge comparison method, thereby obtaining the pulse identification result. For example, the PSD processing can be realized by formula (1):

[0089] f PSD = (Q long -Q short ) / Q long (1)

[0090] In formula (1), f PSD is the PSD factor, which is used to indicate the ability to discriminate neutron signals and positron signals in a particle signal set; Q long is the charge data corresponding to the waveform long gate charge integral; Q short is the charge data corresponding to the short gate integration of the waveform.

[0091] In one embodiment, the pulse identification result can be f in formula (1): PSD .

[0092] Figure 6 The schematic diagram of the principle of obtaining the pulse discrimination result provided in the embodiment of the present application is as follows: Figure 6 As shown, curve 601 may be the integration result of the charge data. By adjusting the lengths of the long gate 602 and the short gate 603, the pulse discrimination capability of the PSD may be adjusted and improved.

[0093] In one embodiment, it is possible to determine whether anti-electron neutrinos exist in the above environment based on the pulse identification result, and it is also possible to determine the number or probability of anti-electron neutrinos appearing.

[0094] As can be seen from the above, in the method for determining the distribution state of anti-electron neutrinos provided in the embodiment of the present application, by performing PSD processing on the processing result, a pulse identification result is obtained, thereby achieving accurate distinction between neutron signals and positron signals in a particle signal set with the help of PSD technology, so that the pulse identification result can accurately reflect the number and distribution state of neutron and positron signals in the above environment, thereby improving the accuracy of the distribution state of anti-electron neutrinos in the above environment determined based on the pulse identification result, and improving the accuracy of IBD event identification.

[0095] Based on the above embodiments, in the method for determining the distribution state of anti-electron neutrinos provided in the embodiments of the present application, the particle signals in the particle signal set are processed to obtain the processing results, which can be achieved by the following methods:

[0096] The particle signals in the particle signal set are statistically analyzed to obtain statistical results; and the particle signals are sampled and quantized based on the statistical results to obtain processing results.

[0097] In one embodiment, the statistical results can be obtained by:

[0098] Counting the number of at least part of the particle signals in the particle signal set to obtain statistical results; illustratively, the above-mentioned at least part of the particle signals may include particle signals output by at least part of the detector sensitive bodies in the detector sensitive body array, and may also include particle signals received by the electronic device within a specified time period, wherein the electronic device may set time information for the particle signal when it receives the particle signal, and the time information may be associated with a clock cycle of the electronic device.

[0099] In one embodiment, the processing result can be obtained by any of the following methods:

[0100] The particle signals in the particle signal set are grouped based on the statistical results to obtain grouping results, and then each particle signal in the grouping results is sampled and quantized to obtain a processing result; illustratively, the number of particle signals in each grouping result may be the same or different.

[0101] Based on the number of statistical results, a strategy for grouping the particle signal set is determined, and then the particle signals in the particle signal set are grouped according to the above strategy, thereby obtaining the above grouping result; illustratively, the above strategy may include a strategy for balancing the data processing capability of the electronic device and the speed at which the particle signals are generated. For example, when the number of particle signals received per unit time exceeds the data processing speed range of the electronic device, the particle signal set can be grouped, and the particle signals in the grouping results can be sampled and quantized in turn. When the number of particle signals received per unit time is within the data processing speed range of the electronic device, the particle signal set can be directly sampled and quantized without being grouped.

[0102] The sampling frequency and the number of quantization bits are determined based on the statistical results, and then the particle signal is sampled and quantized based on the above sampling frequency and the number of quantization bits.

[0103] As can be seen from the above, in the method for determining the distribution state of anti-electron neutrinos provided in the embodiments of the present application, by performing statistics on the particle signals in the particle signal set, the statistical results can comprehensively and accurately reflect information such as the number, amplitude, and density of the particle signals in the particle signal set; in this way, when sampling and quantizing the particle signals based on the statistical results, not only can targeted sampling and quantization processing of the particle signals be achieved, but also a balance can be achieved between the number of particle signals in the particle signal set and the data processing capability of the electronic device, thereby improving the targeted sampling and quantization processing of the particle signals and improving the accuracy and effectiveness of the processing results.

[0104] Based on the above embodiments, in the method for determining the distribution state of anti-electron neutrinos provided in the embodiments of the present application, statistics are performed on the particle signals in the particle signal set to obtain statistical results, which can be achieved by the following methods:

[0105] The particle signals in the particle signal set are distributed to obtain at least a first signal set; and the particle signals in the first signal set that are associated with the detector sensitive bodies in the detector sensitive body array are counted to obtain statistical results.

[0106] The number of particle signals in the first signal set is the same as the number of particle signals in the particle signal set.

[0107] In one embodiment, power distribution may be performed on the particle signals in the particle signal set, thereby obtaining at least a first signal set.

[0108] In one embodiment, a signal distribution circuit may be designed, and the distribution operation of the particle signals in the particle signal set may be implemented through the signal distribution circuit. Figure 7 This is a schematic diagram of the structure of the signal distribution circuit provided in the embodiment of the present application, such as Figure 7 As shown, the branch where the resistor R0 is located can be the input end of the particle signal set, and the particle signal set can be input to the first branch where the resistor R1 is located, thereby obtaining the first signal set; exemplarily, by adjusting the resistance values ​​of the resistor R0 and the resistor R1, the amplitude of the particle signal in the first signal set can meet the amplitude requirements of subsequent circuit processing.

[0109] In one embodiment, the particle signals associated with the detector sensitive bodies in the detector sensitive body array may include particle signals respectively outputted from two ports of each detector sensitive body.

[0110] In one embodiment, the statistical results can be obtained by any of the following methods:

[0111] The particle signals associated with the kth detector sensitive body in the first signal set are judged. If it is determined that there are two particle signals associated with the kth detector sensitive body, that is, the kth detector sensitive body outputs two particle signals to the electronic device, then the particle signals output by the kth detector sensitive body are counted. If it is determined that there are less than two particle signals associated with the kth detector sensitive body, that is, the kth detector sensitive body does not output a particle signal or outputs only one particle signal, then the particle signals associated with the kth detector may not be counted. Wherein, k can be an integer greater than or equal to 1 and less than or equal to K.

[0112] For example, a hardware port of an electronic device can be electrically connected to each detector sensitive body. The electronic device can number the particle signals received by each hardware port. This numbering information can represent both the address of the hardware port and the number and position of the detector sensitive body electrically connected to the hardware port in the detector sensitive body array, or its arrangement relationship relative to other detector sensitive bodies. This numbering can quickly identify the correspondence or association between particle signals and detector sensitive bodies, thereby providing a basis for statistical analysis of particle signals associated with the detector sensitive bodies.

[0113] From the above, it can be seen that in the method for determining the distribution state of anti-electron neutrinos provided in the embodiment of the present application, the particle signals in the particle signal set are distributed to obtain a first signal set, and the number of particle signals in the first signal set is the same as the number of particle signals in the particle signal set, thereby laying a foundation for the accuracy of the statistical results obtained by counting the particle signals in the first signal set; and, by counting the particle signals in the first signal set associated with the detector sensitive bodies in the detector sensitive body array, it is possible to track and identify the particle signals output by each detector sensitive body, thereby realizing fine-grained statistical processing of the particle signals in the particle signal set.

[0114] Based on the above embodiments, in the method for determining the distribution state of anti-electron neutrinos provided in the embodiments of the present application, statistics are collected on the particle signals associated with the detector sensitive bodies in the detector sensitive body array in the first signal set, which can be achieved by:

[0115] If the amplitude of the particle signal associated with the kth detector sensitive body in the detector sensitive body array in the first signal set is greater than or equal to the first threshold, statistics are performed on the particle signal associated with the kth detector sensitive body.

[0116] Here, k is an integer greater than or equal to 1.

[0117] Exemplarily, k may be less than or equal to K.

[0118] For example, if the amplitude of a particle signal associated with the kth detector sensitive object in the first signal set is smaller than a first threshold, the particle signal may be discarded, and all particle signals associated with the kth detector sensitive object may also be discarded.

[0119] In one embodiment, the first threshold value may be determined or adjusted based on the minimum amplitude of data required for data processing by the electronic device, which is not limited in this embodiment of the present application.

[0120] In one embodiment, if the amplitude of the particle signal associated with the kth detector sensitive object in the first signal set is greater than or equal to the first threshold, the particle signal associated with the kth detector sensitive object can be determined as a valid signal, and the particle signal associated with the kth detector sensitive object can be transmitted to the next data processing unit.

[0121] As can be seen from the above, in the method for determining the distribution state of anti-electron neutrinos provided in the embodiment of the present application, if the amplitude of the particle signal associated with the k-th detector sensitive body in the first signal set is greater than or equal to the first threshold, then the particle signal associated with the k-th detector sensitive body is counted, thereby achieving effective screening and filtering of the particle signals output by any detector sensitive body.

[0122] Based on the above embodiments, in the method for determining the distribution state of anti-electron neutrinos provided in the embodiments of the present application, sampling and quantizing particle signals based on statistical results can be implemented in the following manner:

[0123] The particle signals in the particle signal set are distributed to obtain a second signal set; if the statistical result is greater than or equal to a second threshold, a trigger signal is generated; and based on the trigger signal, the particle signals in the second signal set are sampled and quantized.

[0124] The number of particle signals in the second signal set is the same as the number of particle signals in the particle signal set.

[0125] Exemplarily, if the statistical result is less than the second threshold, no trigger signal may be generated.

[0126] In one embodiment, the process of obtaining the second signal set is similar to the process of obtaining the first signal set, that is, both can be obtained by Figure 7 The circuit shown distributes the particle signal set through the second branch where the resistor R2 is located, thereby obtaining a second signal set.

[0127] In one embodiment, the statistical result may include the sum of the number of particle signals in the first signal set whose amplitudes are greater than or equal to the first threshold.

[0128] In one embodiment, the second threshold value may be adjusted or determined according to at least one of the number of detector sensitive bodies in the detector sensitive body array, detection requirements, and data processing capabilities of the electronic device.

[0129] In one embodiment, the trigger signal may include a signal that triggers sampling of the second signal set, and may also include a sampling pulse or a pulse sequence for sampling the second signal set.

[0130] In one embodiment, the trigger signal may be obtained by processing the particle signals in the first signal set by a circuit unit in the programmable logic module.

[0131] Figure 8 A schematic diagram of a structure for generating a trigger signal by a programmable logic module according to an embodiment of the present application is provided, such as Figure 8 As shown, the programmable logic module 8 may include a two-port coincidence unit 801 , a multi-way trigger unit 802 , a trigger signal generating unit 803 , a trigger time recording unit 804 , a counting unit 805 and a reset unit 806 .

[0132] The two particle signals associated with the k-th detector sensitive body in the first signal set may be respectively input into the double-ended coincidence unit 801 of the programmable logic module 8 after passing through the first branch.

[0133] Figure 9 The schematic diagram of the structure of the double-ended compliant unit provided in the embodiment of the present application is as follows: Figure 9 As shown, the double-ended coincidence unit 801 may include a logic unit capable of performing an AND operation. A particle signal associated with the first port of the kth detector sensitive element may be input via a first input port 8011, and a particle signal associated with the second port of the kth detector sensitive element may be input via a second input port 8012. After the double-ended coincidence unit 801 performs an AND operation on these two particle signals, a double-ended coincidence result may be obtained via an output port 8013. In other words, the double-ended coincidence circuit 801 is used to determine the validity of the two particle signals output by the kth detector sensitive element. Only when the particle signals output by both ports of the kth detector sensitive element are valid signals can the subsequent circuit units continue to process the particle signals.

[0134] like Figure 8 As shown, the double-ended coincidence result output by the double-ended coincidence unit 801 can be input to the multi-channel trigger unit 802. Figure 10 A schematic diagram of the structure of a multi-way trigger unit provided in an embodiment of the present application, Figure 10 The double-ended coincidence result includes the data corresponding to eight detector sensitive bodies as an example. Figure 10As shown, the first adder 8021 to the fourth adder 8024 of the multi-trigger unit 802 are respectively used to implement addition calculations on two adjacent data in the double-ended coincidence result; the fifth adder 8025 can perform addition calculations on the addition results output by the first adder 8021 and the second adder 8022, and the sixth adder 8026 can perform addition calculations on the addition results output by the third adder 8023 and the fourth adder 8024. The results output by the fifth adder 8025 and the results output by the sixth adder 8026 can be further added by the seventh adder 8027 to obtain the double-ended sum. The addition result of the compliance result, the comparator 8028 can perform an addition on the double-end compliance result and the preset threshold value. If the addition result of the double-end compliance result is greater than or equal to the preset threshold value, the comparator outputs the addition result of the double-end compliance result to the first port of the enable trigger 8029. If the signal input to the second port of the enable trigger 8029 is an enable signal, the enable trigger 8029 can output the addition result of the double-end compliance result; illustratively, if the addition result of the double-end compliance result is less than the preset threshold value, the comparator 8028 may not output the addition result of the double-end compliance result to the enable trigger 8029.

[0135] like Figure 8 As shown, after the multi-channel trigger unit 802 outputs the addition result of the double-ended coincidence result to the trigger signal generating unit 803, the trigger signal generating unit 803 can generate a pulse or perform processing operations such as pulse stretching to generate a trigger signal.

[0136] like Figure 8 As shown, after the trigger signal generating unit 803 generates the trigger signal, the trigger time recording unit 804 can record the generation time of the trigger signal.

[0137] Figure 11 This is a schematic diagram of the data storage structure of the trigger time in the trigger signal generating unit provided in the embodiment of the present application. Figure 11 As shown, the trigger time generation unit can store the generation time of the trigger signal through a 128-bit digital storage, wherein the 128-bit trigger time can be divided into four segments of data, and the number of bits of each segment of data is 32 bits. In the above 32-bit data, bits 0 to 27 can be data bits, and bits 28 to 31 can be identification bits.

[0138] like Figure 11As shown, if the 28th to 31st bits of the 32-bit data generated by the trigger signal generating unit are respectively 0011, it means that the 0th to 27th bits of the 32-bit data store the 28th to 55th bits of the gating signal count; if the 28th to 31st bits of the above 32-bit data are respectively 0111, it means that the 0th to 27th bits of the 32-bit data store the 0th to 27th bits of the gating signal count; if the 28th to 31st bits of the above 32-bit data are respectively 0001, it means that the 0th to 27th bits of the 32-bit data store the 28th to 55th bits of the clock cycle signal count; if the 28th to 31st bits of the above 32-bit data are respectively 0101, it means that the 0th to 27th bits of the 32-bit data store the 0th to 27th bits of the clock cycle signal count.

[0139] For example, by splicing bits 0 to 27 of the above-mentioned gating signal count and bits 28 to 55 of the gating signal count, the gating signal count generated by the trigger signal generating unit can be obtained; by splicing bits 0 to 27 of the above-mentioned clock cycle signal count and bits 28 to 55 of the clock cycle signal count, the clock cycle signal generated by the trigger signal generating unit can be obtained.

[0140] like Figure 8 As shown, the double-ended coincidence result output by the double-ended coincidence unit 801 can also be output to the counting unit 805 so as to count the number of valid particle signals output within a unit time.

[0141] exist Figure 8 In the embodiment, before data processing is started and after data processing is completed, the status of each data processing unit can be reset by the reset unit 806.

[0142] From the above, it can be seen that the trigger signal is generated by performing hierarchical and diversified processing of the particle signals in the first signal set by the programmable logic module. This can improve the consistency between the trigger signal and the particle signals in the first signal set and reduce the probability of false triggering and missed triggering.

[0143] In one embodiment, when a trigger signal is generated, sampling and quantization processing of the particle signals in the second signal set is triggered, and when the trigger signal is not generated, sampling and quantization processing of the particle signals in the second signal set may not be performed.

[0144] From the above, it can be seen that the second signal set is obtained by allocating the particle signals in the particle signal set, and the particle signals in the second signal set are sampled and quantized based on the trigger signal to obtain the processing result, and at the same time, the trigger signal is generated based on the statistical results of the particle signals in the first signal set, thereby realizing different data processing processes for different signal sets, reducing the data coupling between the trigger signal generation process and the sampling quantization process, and improving the efficiency of the sampling quantization processing; and, by allocating the particle signal set into the first signal set and the second signal set, the consistency between the trigger signal and the sampling quantization process can also be improved.

[0145] Based on the aforementioned embodiment, in the method for determining the distribution state of anti-electron neutrinos provided in the embodiment of the present application, sampling and quantizing the particle signals in the second signal set based on the trigger signal can also be implemented in the following manner:

[0146] Determine a delay time; delay the second signal set based on the delay time to obtain a delayed second signal set; and perform sampling and quantization processing on the particle signals in the delayed second signal set based on the trigger signal.

[0147] In one embodiment, the delay time can be determined based on the data processing speed of the programmable logic module in the aforementioned embodiment; illustratively, the delay time can be determined based on the data processing speed of the programmable logic module and the data processing logic flow from the first signal set to the generation of the trigger signal.

[0148] In one embodiment, the second signal set may be delayed based on the generation time through a signal extension line, thereby obtaining the delayed second signal set.

[0149] Figure 12 This is a schematic diagram of the circuit structure for obtaining the processing result provided in the embodiment of the present application. Figure 12 As shown, the signal acquisition unit 1201 can be electrically connected to each photomultiplier tube in the detector sensitive body array, thereby acquiring the particle signal output from the two ports of each detector sensitive body to obtain a particle signal set; the signal distribution unit 1202 can be as follows Figure 7 The circuit shown distributes the particle signal sets and transmits the first signal set to the discrimination unit 1203 and the second signal set to the signal delay unit 1204 .

[0150] For example, the discrimination unit 1203 may judge the amplitude of the particle signal associated with the kth detector sensitive body in the first signal set based on the first threshold value, thereby determining the validity of the particle signal output by the kth detector sensitive body. Figure 8The circuit shown processes the particle signal output by the discrimination unit 1203 to generate a trigger signal, and sends the trigger signal to the waveform sampler 1205.

[0151] For example, if the waveform sampler 1205 is in the sampling process, it can generate a busy state signal and send it to the enable trigger of the multi-trigger unit in the programmable logic module 8, causing it to suspend generating trigger signals. If the waveform sampler 1205 has completed the sampling process or has not yet performed a sampling operation, it can generate an idle state signal and send the above signal to the enable trigger to enable the generation of trigger signals. The busy state signal can be the enable signal input to the enable trigger in the aforementioned embodiment.

[0152] For example, the waveform sampler can sample and quantize the particle signals in the second signal set delayed by the signal delay unit 1204 under the trigger of the trigger signal, determine the sampling and quantization results as processing results, and then send the processing results to the computer 1206 for the computer 1206 to perform offline processing on the processing results.

[0153] For example, an electrical connection channel may be established between the computer 1206 and the programmable logic module 8 , so as to receive the trigger time generated by the programmable logic module 8 .

[0154] For example, after receiving the processing result and the trigger time, the computer 1206 may associate the processing result and the trigger time, thereby laying a data foundation for subsequent execution of PSD processing.

[0155] From the above, it can be seen that in the method for determining the distribution state of anti-electron neutrinos provided in the embodiment of the present application, after determining the delay time, the second signal set can be delayed based on the delay time to obtain the delayed second signal set, so that the delayed second signal set and the trigger signal can maintain time synchronization; in this way, when the particle signals in the delayed second signal set are sampled and quantized based on the trigger signal, the consistency between the processing results and the particle signal set can be improved.

[0156] Based on the above embodiments, the present application also provides a device for determining the distribution state of anti-electron neutrinos. Figure 13 A schematic diagram of the structure of the device for determining the distribution state of anti-electron neutrinos provided in an embodiment of the present application is shown in FIG. Figure 13 As shown, the device may include:

[0157] An acquisition module 1301 is configured to acquire a particle signal set transmitted by a detector sensitive body array doped with boron-10;

[0158] The processing module 1302 is used to process the particle signals in the particle signal set to obtain a processing result;

[0159] The determination module 1303 is configured to determine the distribution state of anti-electron neutrinos in the environment where the detector sensitive body array is located based on the processing result.

[0160] In some embodiments, the detector sensitive body includes a plastic scintillator doped with boron-10, two light guides respectively sealedly connected to two ports of the plastic scintillator, and two photomultiplier tubes respectively sealedly connected to the two light guides; the plastic scintillator is in the shape of a hexagonal prism;

[0161] The acquisition module 1301 is configured to acquire a particle signal set transmitted by the plastic scintillator through an electrical connection channel with the photomultiplier tube.

[0162] In some embodiments, the processing module 1302 is configured to perform pulse shape discrimination (PSD) processing on the processing result to obtain a pulse discrimination result;

[0163] The determination module 1303 is configured to determine the distribution state of anti-electron neutrinos in the environment based on the pulse identification result.

[0164] In some embodiments, the processing module 1302 is configured to perform statistics on the particle signals in the particle signal set to obtain statistical results; and perform sampling and quantization processing on the particle signals based on the statistical results to obtain processing results.

[0165] In some embodiments, the processing module 1302 is configured to distribute the particle signals in the particle signal set to obtain at least a first signal set; wherein the number of particle signals in the first signal set is the same as the number of particle signals in the particle signal set;

[0166] The processing module 1302 is further configured to perform statistics on the particle signals in the first signal set that are associated with the detector sensitive objects in the detector sensitive object array to obtain statistical results.

[0167] In some embodiments, the processing module 1302 is used to perform statistics on the particle signal associated with the kth detector sensitive body in the detector sensitive body array if the amplitude of the particle signal associated with the kth detector sensitive body in the first signal set is greater than or equal to a first threshold; wherein k is an integer greater than or equal to 1.

[0168] In some embodiments, the processing module 1302 is configured to distribute the particle signals in the particle signal set to obtain a second signal set; wherein the number of particle signals in the second signal set is the same as the number of particle signals in the particle signal set;

[0169] The processing module 1302 is further configured to generate a trigger signal if the statistical result is greater than or equal to a second threshold; and trigger sampling and quantization processing of the particle signals in the second signal set based on the trigger signal.

[0170] In some embodiments, the determination module 1303 is configured to determine a delay time;

[0171] The processing module 1302 is configured to delay the second signal set based on the delay time to obtain the delayed second signal set; and perform sampling and quantization processing on the particle signals in the delayed second signal set based on the trigger signal.

[0172] The anti-electron neutrino distribution state determination device provided in the embodiment of the present application can significantly improve the number of particle signals in a particle signal set acquired by a detector sensitive body array doped with boron-10, due to the large thermal neutron capture cross-section of boron-10. Furthermore, due to the large thermal neutron capture cross-section of boron-10, the capture efficiency of particle signals can be improved by doping the detector sensitive body array with a lower concentration of boron-10, thereby reducing the impact of boron-10 doping on the luminous efficiency of the detector sensitive body. At the same time, since the products of the reaction of boron-10 with neutrons are helium-4 and / or lithium-7, the detection efficiency of these particle signals is higher than the detection efficiency of gamma rays released after gadolinium captures neutrons, thereby reducing the difficulty of detecting particle signals in the particle signal set and improving the detection efficiency of particle signals.

[0173] On the other hand, due to the above-mentioned advantages of the detector sensitive body array in the embodiment of the present application, it is possible to directly improve the accuracy of the processing results obtained by processing the particle signals in the particle signal set, and the distribution state of anti-electron neutrinos in the environment in which the detector sensitive body array is located determined based on the processing results.

[0174] Based on the above embodiments, the present application also provides an electronic device, Figure 14 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application, such as Figure 14 As shown, the electronic device may include a processor 1401 and a memory 1402, wherein the memory 1402 stores a computer program, and when the computer program is executed by the processor, it can implement the method for determining the distribution state of anti-electron neutrinos provided in any of the previous embodiments.

[0175] The above-mentioned processor can be at least one of ASIC, DSP, DSPD, PLD, FPGA, CPU, controller, microcontroller, and microprocessor.

[0176] The above-mentioned memory can be a volatile memory (volatile memory), such as random access memory (RAM); or a non-volatile memory (non-volatile memory), such as read-only memory (ROM), flash memory, hard disk drive (HDD) or solid state drive (SSD); or a combination of the above types of memory, and provides instructions and data to the processor.

[0177] The acquisition module, processing module and determination module mentioned above can be implemented by the processor mentioned above.

[0178] Based on the foregoing embodiments, an embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor of an electronic device, it can implement the method for determining the distribution state of anti-electron neutrinos provided in any of the previous embodiments.

[0179] The above description of the various embodiments tends to emphasize the differences between the various embodiments. The same or similar aspects can be referenced with each other and will not be repeated herein for the sake of brevity.

[0180] The methods disclosed in the various method embodiments provided in this application can be arbitrarily combined without conflict to obtain new method embodiments.

[0181] The features disclosed in the various product embodiments provided in this application can be arbitrarily combined without conflict to obtain new product embodiments.

[0182] The features disclosed in the various method or device embodiments provided in this application can be arbitrarily combined without conflict to obtain new method embodiments or device embodiments.

[0183] It should be noted that the above-mentioned computer-readable storage medium can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a magnetic random access memory (FRAM), a flash memory (Flash Memory), a magnetic surface storage, an optical disc, or a compact disc read-only memory (CD-ROM); it can also be various electronic devices that include one or any combination of the above-mentioned memories, such as mobile phones, computers, tablet devices, personal digital assistants, etc.

[0184] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0185] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0186] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus necessary general hardware nodes, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), including a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0187] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0188] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0189] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0190] The above are only preferred embodiments of the present application and do not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for determining the distribution state of anti-electron neutrinos, characterized in that: The method comprises: Acquire a collection of particle signals transmitted by a detector sensitive array doped with boron-10; Processing the particle signals in the particle signal set to obtain a processing result; Determining, based on the processing results, a distribution state of the anti-electron neutrinos in an environment where the detector sensitive body array is located; The step of processing the particle signals in the particle signal set to obtain a processing result includes: Performing statistics on the particle signals in the particle signal set to obtain statistical results; Performing sampling and quantization processing on the particle signal based on the statistical result to obtain the processing result; The performing sampling and quantization processing on the particle signal based on the statistical result includes: Distributing the particle signals in the particle signal set to obtain a second signal set; wherein the number of particle signals in the second signal set is the same as the number of particle signals in the particle signal set; If the statistical result is greater than or equal to a second threshold, generating a trigger signal; Sampling and quantization processing is performed on the particle signals in the second signal set based on the trigger signal.

2. The method according to claim 1, characterized in that The detector sensitive body includes a plastic scintillator doped with boron-10, two light guides respectively sealedly connected to two ports of the plastic scintillator, and two photomultiplier tubes respectively sealedly connected to the two light guides; The plastic scintillator is in the shape of a hexagonal prism; the method of acquiring a particle signal set transmitted by a detector sensitive body array doped with boron-10 comprises: The particle signal set transmitted by the plastic scintillator is obtained through an electrical connection channel with the photomultiplier tube.

3. The method according to claim 1, characterized in that Determining the distribution state of the anti-electron neutrinos in the environment of the detector sensitive body array based on the processing result includes: Performing pulse shape discrimination (PSD) processing on the processing result to obtain a pulse discrimination result; Based on the pulse identification result, a distribution state of the anti-electron neutrinos in the environment is determined.

4. The method according to claim 1, wherein The performing statistics on the particle signals in the particle signal set to obtain statistical results includes: Distributing the particle signals in the particle signal set to obtain at least a first signal set; wherein the number of particle signals in the first signal set is the same as the number of particle signals in the particle signal set; Statistics are performed on the particle signals in the first signal set that are associated with the detector sensitive bodies in the detector sensitive body array to obtain the statistical results.

5. The method according to claim 4, characterized in that The performing statistics on the particle signals in the first signal set that are associated with the detector sensitive bodies in the detector sensitive body array includes: If the amplitude of the particle signal associated with the kth detector sensitive body in the detector sensitive body array in the first signal set is greater than or equal to a first threshold, statistics are performed on the particle signal associated with the kth detector sensitive body; wherein k is an integer greater than or equal to 1.

6. The method according to claim 1, wherein The sampling and quantization processing of the particle signals in the second signal set is triggered based on the trigger signal, comprising: Determine the delay time; Delaying the second signal set based on the delay time to obtain a delayed second signal set; The trigger signal triggers sampling and quantization processing of the particle signals in the delayed second signal set.

7. A device for determining the distribution state of anti-electron neutrinos, characterized in that: The device comprises: An acquisition module, configured to acquire a particle signal set transmitted by a detector sensitive body array doped with boron-10; A processing module, used for processing the particle signals in the particle signal set to obtain a processing result; A determination module, configured to determine, based on the processing result, the distribution state of anti-electron neutrinos in the environment where the detector sensitive body array is located; The processing module is specifically used to perform statistics on the particle signals in the particle signal set to obtain statistical results; Performing sampling and quantization processing on the particle signal based on the statistical result to obtain the processing result; The processing module is further configured to distribute the particle signals in the particle signal set to obtain a second signal set; wherein the number of particle signals in the second signal set is the same as the number of particle signals in the particle signal set; If the statistical result is greater than or equal to a second threshold, generating a trigger signal; Sampling and quantization processing is performed on the particle signals in the second signal set based on the trigger signal.

8. An electronic device, characterized in that: The electronic device includes a processor and a memory; the memory stores a computer program, and when the computer program is executed by the processor, it can implement the method for determining the distribution state of anti-electron neutrinos according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The storage medium stores a computer program; when the computer program is executed by a processor of an electronic device, the method for determining the distribution state of anti-electron neutrinos according to any one of claims 1 to 6 can be implemented.

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