KR102564509B1 - Apparatus for analysis low-level radioactivity and method thereof - Google Patents

Abstract

A method of operating a low-level radiation analysis device, comprising: collecting data measured from a main detector and a sub-detector for detecting interlocked low-level radioactivity; Subtracting detector data to generate recoil coefficient data, summing the data of the main detector and sub-detector data for which synchronicity has been confirmed, calculating the peak net coefficient in the simultaneous sum coefficient spectrum, and recoil coefficient data and generating final data by applying a peak net coefficient to .

Description

Low-level radioactivity analysis device and method thereof {APPARATUS FOR ANALYSIS LOW-LEVEL RADIOACTIVITY AND METHOD THEREOF}

It relates to low-level radioactivity analysis technology.

Detection and analysis technologies are required to confirm the presence of trace amounts of radioactive materials in order to deregulate nuclear facility decommissioning sites and radioactive waste below the extremely low level. In order to analyze radioactivity below the analyzable standard, the Minimum Detectable Activity (MDA) of the detection device must be minimized.

The main factors determining the minimum detection lower limit of the detection device are the background and detection efficiency, and it is important to remove the background of the detection device and improve the detection efficiency. This is where the Compton Suppression Technique is used.

Anti-coincidence detection, which is one of the Compton suppression techniques, is mainly used as a general method for removing the background when detecting gamma rays. However, although the recoil method is effective in removing the background, there is a limit in terms of improving the minimum lower limit value because the peak count rate decreases along with the background and the detection efficiency is lowered.

To overcome these limitations, sum-coincidence detection has been proposed, but it is difficult to implement in practice.

In detail, in order to apply the simultaneous sum counting method, all signals generated from the detection device must be acquired and analyzed. Currently, it is difficult to detect all scattered gamma rays from the detection device, and in contrast to the recoil counting method, a commercially available method for applying the simultaneous sum counting method is used. Since the program does not exist, the development of an analysis algorithm is required.

In addition, the existing simultaneous counting method has the advantage of improving the detection efficiency by increasing the peak counting rate, but the detection efficiency increase effect may be insignificant depending on the detection device, and the background removal effect is smaller than the recoil counting method.

As a related prior art, Korean Patent Publication No. 2015-0003097 discloses a "low-level radioactivity measuring device".

Korean Patent Publication 2015-0003097

One embodiment of the present invention is to provide an apparatus and method for analyzing low-level radiation that uses main detector measurement data and changes main detector data based on simultaneity with a sub-detector and detected energy.

In addition to the above tasks, embodiments according to the present invention may be used to achieve other tasks not specifically mentioned.

A method of operating a low-level radioactivity analyzer according to an embodiment of the present invention, comprising the steps of collecting data measured from a main detector and a sub-detector for detecting interlocked low-level radioactivity; Generating recoil coefficient data by subtracting the data of the main detector for which the simultaneity of the measurement time is confirmed, calculating the peak net coefficient from the simultaneous sum coefficient spectrum obtained by summing the data of the main detector and the data of the sub-detector for which the simultaneity is confirmed and generating final data by applying a peak net coefficient from the rebound coefficient data.

A low-level radiation analysis device according to an embodiment of the present invention collects data measured by a main detector and a sub-detector that are interlocked, and a collection module that checks the simultaneity of the measurement time of the collected main detector data and the measurement time of the sub-detector data. , A conversion module that generates simultaneous sum coefficient data by adding the main detector data and sub-detector data of which simultaneity is confirmed, and subtracting the main detector data of which simultaneity is confirmed from the measurement data of the main detector to generate recoil coefficient data, An analysis module is included that calculates a peak net coefficient from the simultaneous sum coefficient data and generates final data by applying the peak net coefficient to the rebound coefficient data.

According to one embodiment of the present invention, by changing the data of the main detector based on the simultaneity and detected energy with the sub-detector, it is possible to secure a low minimum detection lower limit by removing the Compton background and increasing the peak net count rate when measuring gamma rays. there is.

According to one embodiment of the present invention, it can be used in various fields where ultra-trace radioactive material analysis is required, such as nuclear facility dismantling sites and radioactive waste below extremely low levels, and can reduce measurement time and analysis cost, reduce waste amount, and reduce disposal cost. there is.

According to one embodiment of the present invention, it is possible to prevent overload of a specific node by functionally grouping communication nodes of a network system.

1 is an exemplary diagram showing a low-level radiation analysis system according to an embodiment of the present invention.
2 is an exemplary view showing a low-level radioactivity measurement device according to an embodiment of the present invention.
3 is a graph showing detection performance of the front and side surfaces of a main detector according to an embodiment of the present invention.
Figure 4 is a flow chart showing a low-level radioactivity analysis method according to an embodiment of the present invention.
5 is an exemplary view for explaining an energy calibration process according to an embodiment of the present invention.
6 is a graph showing a first spectrum, a rebound coefficient spectrum, and a final spectrum according to an embodiment of the present invention.
7 is a hardware configuration diagram of a computing device according to an embodiment of the present invention.

With reference to the accompanying drawings, embodiments of the present invention will be described in detail so that those skilled in the art can easily carry out the present invention. This invention may be embodied in many different forms and is not limited to the embodiments set forth herein. In order to clearly describe the present invention in the drawings, parts irrelevant to the description are omitted, and the same reference numerals are used for the same or similar components throughout the specification. In addition, in the case of widely known known technologies, detailed descriptions thereof will be omitted.

Throughout the specification, when a certain component is said to "include", it means that it may further include other components without excluding other components unless otherwise stated.

In this specification, “transmission or provision” may include direct transmission or provision as well as indirect transmission or provision through another device or by using a detour path.

Expressions written in the singular in this specification may be interpreted in the singular or plural unless an explicit expression such as “one” or “single” is used.

In this specification, like reference numerals refer to like elements, regardless of drawing, and "and/or" includes each and every combination of one or more of the recited elements.

In the flowcharts described herein with reference to the drawings, the order of operations may be changed, several operations may be merged, certain operations may be divided, and certain operations may not be performed.

1 is an exemplary diagram showing a low-level radiation analysis system according to an embodiment of the present invention.

As shown in Figure 1, the low-level radioactivity analysis system is a low-level radioactivity measuring device formed of a main detector (100, HPGe) and a sub-detector (200, NaI (Tl)) and a low-level radioactivity analyzer (300, Multi-Channel Analyzer) includes

The low-level radiation device includes a sub-detector 200 that surrounds the front part and a part of the side part of the main detection head of the main detector 100.

At this time, the source incident direction is incident on the side surface of the main detection head, and the gamma rays scattered in the side and rear directions of the main detection head based on the source incident direction are detected by the sub-detector 200 .

Since the sub-detector 200 is located in the rear direction based on the incident direction of the source, most of the scattered gamma rays can be detected by the sub-detector 200 .

At this time, the main detector 100 and the sub-detector 200 perform settings for measuring the source.

For example, if the detectors constituting the sub-detector 200 are placed in the set position, the detectors have different channels in which peaks occur during measurement after installation, so the detector gain (Gain ) can be adjusted.

Then, channel-count information measured by the main detector 100 and the sub-detector 200 is measured.

Since the initial information obtained through the main detector 100 and the sub-detector 200 is channel-count information, in order to obtain channel information, the channel is converted into energy through energy calibration.

Accordingly, it is possible to confirm which channel corresponds to which energy through finally obtained energy-coefficient information.

In addition, the low-level radiation analysis device 300 includes a collection module 310 for collecting signals detected by the main detector 100 and the sub-detector 200, a conversion module 320 for converting the collected signals into an energy spectrum, and the converted It includes an analysis module 330 that generates a final spectrum using the energy spectrum and analyzes nuclides and quantities.

The low-level radiation device and the low-level radiation analysis device 300 may transmit and receive signals detected through a wired or wireless network.

The collection module 310, the conversion module 320, and the analysis module 330 may be operated by at least one processor. Some modules constituting the low-level radiation analyzer 300 may be implemented separately, and will be described as being integrated and implemented for convenience of description. When distributed and implemented in separate computing devices, the collection module 310, the conversion module 320, and the analysis module 330 may communicate with each other through a communication interface. The computing device suffices as long as it is capable of executing a software program written to perform the present invention, and may be, for example, a server, a laptop computer, or the like.

The collection module 310 collects signals generated by the main detector 100 and the sub detector 200 .

In addition, the collection module 310 may collect signals generated from the main detector 100 and store them in a linked database, and may collect signals generated from the sub-detector 200 and store them in a separate database.

However, the collection module 310 operates simultaneously when the time difference between the signals collected by the main detector 100 and the sub-detector 200 corresponds to a predetermined simultaneous counting time window (for example, within 200 nsec). It can be saved as a measurement signal.

In other words, the collection module 310 may separately store the signals collected by the main detector 100 and the signals collected by the sub-detector 200 and simultaneously store whether signals are simultaneously measured.

The conversion module 320 converts the channel into energy based on energy calibration information by providing time-channel information from the collected signals (List mode data).

Here, the energy calibration information refers to information obtained by analyzing a correlation between channels and energies for a source to be measured.

Also, the conversion module 320 may convert the time-channel information back into an energy-coefficient (E~Count) spectrum.

The conversion module 320 converts main detector data into a first spectrum, which is an energy spectrum, and converts main detector data, which is a simultaneous measurement signal, into a second spectrum, which is an energy spectrum.

In addition, the conversion module 320 generates simultaneous sum count data by summing the main detector data and sub-detector data, which are simultaneous measurement signals, and generates a third spectrum (same as the simultaneous sum spectrum) as an energy spectrum by using the simultaneous sum coefficient data. In terms of meaning, hereinafter, they are used interchangeably and described).

The analysis module 330 may generate a final spectrum based on the spectra generated by the conversion module 320 through the simultaneous summing method and the rebound coefficient method.

Here, the simultaneous summing method is a method that means that when the signal of the main detector 100 and the signal of the sub-detector 200 are combined, it is the peak value of the incident source. In the recoil method, when the signal of the main detector 100 and the signal of the sub-detector 200 occur simultaneously, the peak value of the incident source is not detected by the main detector 100, so the corresponding signal is deleted. it means.

The analysis module 330 subtracts the second spectrum from the first spectrum to generate a rebound coefficient spectrum.

after. The analysis module 330 calculates a peak net coefficient in the third spectrum generated by summing the main detector data and sub-detector data by applying the simultaneous summing method to the simultaneous measurement signal.

Then, the analysis module 330 generates a final spectrum by applying the peak net coefficient to the previously generated rebound coefficient spectrum.

In this way, the analysis module 330 applies both the recoil count method and the simultaneous sum count method to improve detection efficiency and is effective in removing background.

And the analysis module 330 analyzes the final spectrum to calculate nuclide analysis and quantification. In addition, the analysis module 330 may calculate a minimum detection limit (MDA), measurement efficiency, and the like.

Hereinafter, the low-level radiation measuring device will be described in detail.

2 is an exemplary view showing a low-level radioactivity measurement device according to an embodiment of the present invention.

As shown in FIG. 2, the sub-detector 200 is composed of a plurality of detectors of different sizes, and the main detector head 110 is placed in an empty space formed in the sub-detector 200 to detect the sub-detector 200. and the main detector 100 are coupled.

The main detector 100 is composed of a main detector head 110, a main detector connector 120, and a main detector body 130.

The main detector 100 measures a source through the main detector head 110 and cools the Ge crystal in the main detector head 110 through the main detector connection part 120 and the main detector body 130 . In addition, the signal for the source incident from the main detector 100 is transmitted to the low-level radiation analyzer 300 as measurement time-channel information.

The sub-detector 200 is composed of a plurality of detectors of different sizes, and for example, the first detector 210 located at the rear based on the direction of the incident light source and the side of the main detector head 110 It consists of a second detector 220, a fourth detector 240, and a third detector 230 located in front of the main detector head 110.

At this time, although the sub-detector 200 sets the number of detectors to four, it is not necessarily limited thereto, and the number of detectors and the shape of detectors can be changed based on the environment to which they are applied.

In addition, the first detector 210, the second detector 220, the third detector 230, and the fourth detector 240 may be implemented differently in thickness and size set based on the incident position.

In detail, since the amount and energy of gamma rays radiated backward based on the direction of the source is large and the energy is high, the first detector 210 can be set to the largest and widest thickness in order to detect the high energy of the corresponding gamma rays. The second detector 220 and the fourth detector 240 located on the side have the same size, and finally the third detector 230 located in front of the main detector head 110 has the smallest size and thickness. can

This thickness can be optimized as a detector thickness that maximizes Compton scattered gamma rays by evaluating the scattering gamma ray reduction rate according to the detector thickness through MCNP computational simulation.

Due to the structure of the main detector 100 and the sub-detector 200, the simultaneous summing method can be applied by maximally detecting gamma rays scattered from the main detector 100 by the sub-detector 200.

3 is a graph showing detection performance of the front and side surfaces of a main detector according to an embodiment of the present invention.

(a) of FIG. 3 is a measurement graph when the main detector 100 is incident on the front side, and (b) shows a measurement graph when the main detector 100 is incident on the side.

In other words, if (a) of FIG. 3 is a value measured from the front side of the main detector, (b) means a value measured from the side of the proposed main detector.

As shown in FIG. 3 , it can be seen that the measured values of the main detector for the front incident and the side incident are almost the same.

In other words, the low-level radiation measuring device having the structure shown in FIG. 2 is efficient in detecting gamma rays scattered backward of the main detector, while the value measured by the main detector and the value measured by the main detector of the existing structure are identically measured. am.

Figure 4 is a flow chart showing a low-level radioactivity analysis method according to an embodiment of the present invention.

As shown in Figure 4, the low-level radiation analysis device 300 collects measurement data from the main detector and sub-detector (S110).

At this time, the measurement data detected by the main detector and the sub-detector may have asynchronous or synchronous.

Accordingly, the low-level radiation analysis device 300 may separately store simultaneous signal measurement signals through Equation 1 below, or display and store whether or not simultaneous signal measurement signals are present.

Here, T _week is the measurement time of the main detector data, T _part is the measurement time of the sub-detector data, and TimeWindow means a critical time value meaning simultaneity. For example, a value of about 200nsec can be set as TimeWindow, which can be changed later.

Then, the low-level radiation analyzer 300 converts the main detector data into a first spectrum (S120).

The low-level radiation analysis device 300 may generate a first spectrum by converting measurement time-channel information into measurement time-energy information for main detector data stored in a database.

In detail, the low-level radiation analyzer 300 converts measurement time-energy information based on energy calibration information of a detector.

Next, the low-level radiation analysis device 300 selects simultaneous measurement signals and converts them into a second spectrum using main detector data among the selected simultaneous measurement signals (S130).

The low-level radiation analysis device 300 uses only the measurement data of the main detector among the measurement data measured within a predetermined co-counting time window in the main detector and the sub-detector and converts them into measurement time-energy information in the same manner as in step S120. A second spectrum can be generated.

In addition, the low-level radiation analyzer 300 subtracts the second spectrum from the first spectrum to generate a recoil frequency spectrum (S140).

The low-level radioactivity analyzer 300 may generate a semi-simultaneous spectrum by applying a recoil function method as a method of subtracting the second spectrum from the generated first spectrum. Through this, main detector data corresponding to the Compton area can be deleted.

Next, the low-level radiation analyzer 300 converts the simultaneous sum coefficient data obtained by summing the energy values of the main detector data and the sub-detector data into a third spectrum, and calculates a peak net coefficient in the third spectrum (S150).

The low-level radiation analyzer 300 may add the energy of the main detector data and the energy of the sub-detector data, and generate a third spectrum for the energy-coefficient based on the summed energy. In addition, a net peak count for a peak point in the third spectrum may be calculated.

Then, the low-level radioactivity analyzer 300 generates a final spectrum by applying the calculated peak net coefficient to the rebound coefficient spectrum (S160).

The low-level radioactivity analyzer 300 may generate a final spectrum in which a peak point value is modified by adding a peak net coefficient to the rebound coefficient spectrum generated in step S140.

In other words, the low-level radioactivity analyzer 300 may improve measurement efficiency by adding a peak net coefficient.

Next, the low-level radioactivity analyzer 300 analyzes nuclides based on the final spectrum (S170).

As the final spectrum is analyzed, the type of nuclide, quantity, background, net peak count, minimum detection limit (MDA), radioactivity of the source, measurement efficiency, etc. can be calculated and provided.

In this analysis method, when a source having multiple energies is incident, the corresponding algorithm can be applied to all energies set as nuclides of interest.

Meanwhile, in FIG. 4, steps are sequentially written for convenience of explanation, but steps S120 and S130 may be performed simultaneously, and step S150 may be performed simultaneously with step S140 or performed first depending on a situation implemented in real time.

5 is an exemplary view for explaining an energy calibration process according to an embodiment of the present invention.

5 (a) shows a process of performing energy calibration with a graph of channel-count results obtained during radiation measurement as a graph of energy-count information, and (b) is a graph showing energy calibration information.

As shown in FIG. 5, based on the energy calibration information representing the correlation with the channel-energy for the source, the low-level radiation analyzer 300 converts the collected channel-count result graph into a graph of energy-count information. convert

6 is a graph showing a first spectrum, a rebound coefficient spectrum, and a final spectrum according to an embodiment of the present invention.

6 (a) is a graph showing the first spectrum, (b) is a graph showing the first spectrum and the rebound clock spectrum, and (c) is a graph showing the final spectrum.

In FIG. 6, the HPGe semiconductor detector was used as a detector and the NaI (Tl) scintillation detector was used as a sub-detector, and the experimental results obtained by placing a 316 kBq ¹³⁷ Cs point source at a distance of 1 m from the detector and measuring for 300 seconds are used.

FIG. 6(a) shows a first spectrum, which is an energy spectrum of a ¹³⁷ Cs source obtained by a HPGe detector, which is a main detector. The measurement efficiency for the first spectrum is calculated as 5.8837×10-5 and the MDA is 3.08 kBq.

6(b) is a graph showing the first spectrum (blue) and the recoil coefficient spectrum (red) together, and among the data measured by the HPGe detector, which is the main detector, the case where the main detector and the sub-detector react simultaneously are shown. It can be seen that by excluding, the gain of lowering the MDA is taken. On the other hand, when the recoil coefficient method was applied, the measurement efficiency was 5.8441 × 10 ^-5 , which was 99.3% compared to the first spectrum, and the MDA was evaluated as 2.54 kBq, decreasing by 17.5%.

Figure 6 (c) is a graph showing the final spectrum, a graph in which the peak net coefficient of the third spectrum generated by summing the energies of the two detectors is applied to the rebound coefficient spectrum only when simultaneous reactions occur in the main detector and the sub-detector. am.

As such, the measurement efficiency of the final spectrum generated by converting the peak coefficient in the rebound coefficient spectrum was 1.0690×10 ^-4 , which was 1.82 times higher than that of the first spectrum, and the MDA was 1.39 kBq, which was reduced by 54.3%.

As such, it can be seen that the measurement efficiency of the final spectrum is improved and the MDA value is lower than that of the first spectrum using the rebound clock spectrum or the data of the main detector to which the rebound clock method is applied.

7 is a hardware configuration diagram of a computing device according to an exemplary embodiment.

Referring to FIG. 7 , the low-level radiation analysis device 400 may be implemented with at least one computing device and may execute a computer program including instructions described to execute the operation of the present disclosure.

The hardware of the low-level radiation analysis device 400 may include at least one processor 410, a memory 420, a storage 430, and a communication interface 440, and may be connected through a bus. In addition, hardware such as an input device and an output device may be included. The low-level radiation analysis device 400 may be equipped with various software including an operating system capable of driving a computer program.

The processor 410 is a device for controlling the operation of the computing device, and may be various types of processors that process commands included in a computer program, for example, a Central Processing Unit (CPU), a Micro Processor Unit (MPU), It may be a Micro Controller Unit (MCU), a Graphic Processing Unit (GPU), or the like. Also, the processor 410 may perform an operation on a program for executing the method described above.

Memory 420 stores various data, commands and/or information. Memory 420 may load a corresponding computer program from storage 430 so that the instructions described to execute the operations of this disclosure are processed by processor 410 . The memory 420 may be, for example, read only memory (ROM) or random access memory (RAM). The storage 430 may store various data, computer programs, and the like required to execute the operation of the present disclosure. Storage 430 may non-temporarily store computer programs. The storage 430 may be implemented as a non-volatile memory.

The communication interface 440 may be a wired/wireless communication module, and may include a USB interface, a WiFi interface, a LAN interface, a 5G network interface, and the like.

The computer program may include an agent program operating in an application layer. The computer program may include various network interface driver software.

According to the present invention, by changing the data of the main detector based on the simultaneity with the sub-detector and the detected energy, it is possible to secure a low minimum detection lower limit by removing the Compton background and increasing the peak net count rate when measuring gamma rays.

In addition, it can be used in various fields where ultra-trace radioactive material analysis is required, such as nuclear facility dismantling sites and radioactive waste below extremely low levels, and it can reduce measurement time and analysis cost, reduce waste amount, and reduce disposal cost.

The embodiments of the present invention described above are not implemented only through devices and methods, and may be implemented through programs that realize functions corresponding to the configuration of the embodiments of the present invention or a recording medium on which the programs are recorded.

Although the preferred embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements of those skilled in the art using the basic concept of the present invention defined in the following claims are also made according to the present invention. falls within the scope of the rights of

Claims (11)

As a method of operating a low-level radiation analysis device,
Collecting measured data from a main detector and a sub-detector for detecting interlocked low-level radioactivity;
Generating recoil time data by subtracting the data of the main detector for which the simultaneity of measurement times of the main detector and the sub-detector is confirmed from the data of the main detector;
Calculating a peak net coefficient from a simultaneous sum coefficient spectrum obtained by summing the data of the main detector and the data of the sub-detector for which the simultaneity is confirmed; and
Generating final data by applying the peak net coefficient from the rebound coefficient data;
including,
The final data is generated by applying the simultaneous sum method and the rebound coefficient method together,
The simultaneous summing method indicates that the spectrum is the peak value of the incident source when the signal of the main detector and the signal of the sub-detector are added at the same time, and
The recoil method is a method of deleting the signal when the signal of the main detector and the signal of the sub-detector occur simultaneously, since the peak value of the incident source is not detected by the main detector.
In paragraph 1,
The collecting step is
The step of checking the concurrency is,
When the difference between the measurement time of the main detector data and the measurement time of the sub-detector data falls within a predetermined synchronous counting time window, the operation method of confirming that the data has simultaneity of measurement time.
In paragraph 1,
The collecting step is
An operation method of converting the data into energy information of the main detector or the sub-detector, respectively, based on energy calibration information of a source to be detected.
In paragraph 1,
The step of generating the rebound coefficient data,
A first spectrum expressed as an energy-coefficient is generated from the data of the main detector, and a second spectrum expressed as an energy-coefficient is generated from the data of the main detector for which the simultaneity is confirmed, and the second spectrum is generated in the first spectrum. 2 An operating method of generating a rebound coefficient spectrum corresponding to the rebound coefficient data by subtracting the spectrum.
In paragraph 1,
Calculating the peak net coefficient,
A simultaneous sum coefficient spectrum expressed as an energy-coefficient is generated from data obtained by summing the data of the main detector and the data of the sub-detector for which the simultaneity is confirmed, and the peak net coefficient for a peak point in the simultaneous sum coefficient spectrum is calculated. how to act.
In paragraph 1,
The operation method further comprising calculating and providing one or more of a background, a net peak count, a minimum detection limit, radiation of a source, and measurement efficiency based on the final data.
A collection module that collects data measured by the interlocking main detector and sub-detector and checks the simultaneity of the measurement time of the collected main detector data and the measurement time of the sub-detector data;
A conversion module generating simultaneous sum count data by adding the main detector data and sub-detector data for which the concurrency is confirmed, and
Rebound coefficient data is generated by subtracting the main detector data for which the simultaneity is confirmed from the measurement data of the main detector, a peak net coefficient is calculated from the simultaneous sum coefficient data, and the peak net coefficient is calculated in the recoil coefficient data. An analysis module that generates final data by applying
including,
The final data is generated by applying the simultaneous sum method and the rebound coefficient method together,
The simultaneous summing method indicates that the spectrum is the peak value of the incident source when the signal of the main detector and the signal of the sub-detector are added at the same time, and
The recoil counter method is a method of deleting the signal when the signal of the main detector and the signal of the sub-detector occur at the same time, since the peak value of the incident source was not detected by the main detector. Low-level radiation analysis device.
In paragraph 7,
Converting channel information of data collected by the main detector and sub-detector into energy information based on energy calibration information of a source to be detected;
A low-level radiation analysis device that converts data converted into energy information into an energy spectrum.
In paragraph 7,
Converting the data of the main detector into a first spectrum, which is an energy spectrum, converting the main detector data of which the simultaneity is confirmed into a second spectrum, which is an energy spectrum, and converting the co-sum coefficient data into a third spectrum, which is an energy spectrum Low-level radioactivity analyzer.
In paragraph 9,
The analysis module,
A rebound coefficient spectrum, which is rebound coefficient data, is generated by subtracting the second spectrum from the first spectrum, and the peak net coefficient for a peak point in the third spectrum is applied to the rebound coefficient spectrum to obtain the final data. When the final spectrum is generated, a low-level radiation analyzer that calculates and provides one or more of background, peak net count, minimum detection lower limit, radioactivity of the source, and measurement efficiency based on the final spectrum.
In paragraph 9,
The collection module,
A low-level radiation analyzer that collects signals in real time by interlocking with a main detector for measuring a signal for a source incident from the side and a sub-detector for measuring gamma rays scattered from the main detector to the side or back side.

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