Introduction
The neutron fluence rate, defined as the number of neutrons entering a small sphere divided by the maximum cross-sectional area during a unit time [1, 2], is one of the most critical physical quantities in neutron metrology because it is closely related to the neutron energy spectrum and neutron dose equivalent [3-5]. Therefore, it is the key comparison quantity for the CCRI (III) (Section 3: Neutron measurement of the Consultative Committee on Ionizing Radiation of the International Committee of Weights) [6, 7]. For boron neutron-capture therapy (BNCT) and binary targeted radiotherapy [8-10], the neutron fluence rate is a crucial parameter in treatment-planning systems (TPS) because of the requirement for accurate dose measurement [11-14]. However, in the actual measurement process, because of the absorption and scattering of neutrons by materials of various sizes and compositions, the measurement conditions change after the introduction of medium materials or detectors in the neutron radiation field [15]. This results in changes in the fluence rate, energy spectrum, and neutron direction, creating a distorted neutron irradiation field. This distortion is referred to as a perturbation. In particular, fluence- rate perturbation is an extremely challenging problem in closed or semi-closed neutron irradiation fields, such as the neutron emission window of BNCT and some reference fields with cavity structures. The neutron fluence rate varies when the measurement position is occupied by a detector or another material [1, 16]. The true value at this position was difficult to obtain from actual measurements because of the presence of real materials. This affects the accuracy of crucial parameter measurements and instrument calibration. Therefore, correcting perturbations in the neutron fluence rate is an important aspect of neutron measurements and neutron metrology.
Over the past century, several theories have been proposed to address this problem [17, 18]. Williams et al. used variational methods to calculate neutron reaction rates in plane foils and subsequently published a series of systematic studies on the neutron fluence rate perturbation caused by infinite plane absorbers [19-22]. Romesburg used diffusion theory and the Monte Carlo method (an unused computer) to study this problem, and the findings showed that the results of the Monte Carlo method were more accurate [23]. However, these studies have stringent requirements for detector shapes and mathematical representations of neutron fluence rates, such as plane detectors and cosine fluence rates, and they require a high level of mathematical and physical knowledge from their users because of their rigor and profundity, thereby limiting their overall applicability.
To address the issue of perturbation of the neutron irradiation field, a joint team from the National Institute of Metrology (NIM), China, and Nanjing University proposed a new and more general physical model. This model is based on systematic physical process analysis, theoretical derivation, and Monte Carlo simulation to obtain the correction factor of the perturbation and verify the theoretical and calculation results against the thermal neutron reference radiation facility in NIM.
Theoretical analysis, experiment and simulation
The correction of neutron flux perturbation includes the following three main parts: (1) theoretical analysis of physical processes and establishment of a new physics model, (2) experiments, and (3) Monte Carlo simulation and verification of the results. Each part is described as follows.
Thermal neutron reference radiation facility
The thermal neutron reference radiation facility was rebuilt after decommissioning the old facility at NIM in 2020. As shown in Fig. 1, 12 241Am–Be neutron sources were used in this facility to provide two radiation fields: an inner radiation field with graphite moderation and an outer radiation field with heavy water (D2O) moderation. This new facility exhibits high thermalization and a large distribution of uniformity owing to its innovative design, which includes a reflector layer, homogenizing lenses, and reflective cavities [24].
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The inner-field reflective cavity is made of graphite and has dimensions of 72cm×72cm×27 cm. The neutron fluence rate at the reference point was (21433.3±407.2) cm-2·s-1, determined by the activation of gold foils, which is an absolute measurement method with a thermal fraction of 94.7 % [25], and the uniformity within a linear range of 55 cm was 99 %. The outer-field reflective cavity was constructed from polyethylene and measured 90 cm×90 cm×65 cm. The neutron fluence rate at the reference point here was (2046.0±49.1) cm-2·s-1, also determined by the activation of gold foils, with a thermal fraction of 99.96 %, and the uniformity within a 70 cm×70 cm area was more than 99 %. Moreover, for the outer radiation field, the key indicators of thermal fraction, uniform area, and uniformity are superior to those of similar devices both domestically and internationally because of the innovative designs mentioned above [26].
Physical process analysis and physics model establishment
Because the inner and outer radiation field structures are identical, except for the different wall materials, this study takes the reflective cavity of the outer field as an example to analyze physical processes, experiments, and simulations. Furthermore, to help our understanding, the following three physical nomenclatures related to this research are proposed in this paper (these terms are used exclusively in this article).
Perturbation of the neutron irradiation field: Placing a certain volume of material in a neutron radiation field of finite space causes change in the momentum, energy spectrum, or other parameters of the neutron owing to the capture and scattering effects of the material nuclei on the neutron.
Perturbation rate η: When the irradiation field conditions change, the ratio of the change in a physical quantity at a certain area or point in the field to this quantity with the field unchanged.
Neutron loss rate L: The proportion of neutrons lost per unit time owing to decay, absorption, and other reasons in a closed neutron radiation field.
Neutron transport process of the 241Am-Be neutron source
In the closed neutron radiation field shown in Fig. 1, for example, the neutrons emitted from 241Am–Be neutron sources are moderated by heavy water and reflected by the polyethylene reflector layer. These neutrons are slowed to thermal neutrons that follow the Maxwell distribution and are eventually transported to the emission window [27]. Then, the neutrons emitted from the emission window enter the reflection cavity, where they undergo scattering and capture interactions with the nuclei of the cavity wall material, the nuclei of the detector’s sensitive region, or other medium materials. These processes may eventually lead to the dynamic equilibrium of various physical quantities in the neutron field. The same physical processes apply to similar fields.
Therefore, the entire physical process can be decomposed into two steps: a) the neutrons emitted from 241Am–Be neutron sources are moderated in heavy water and transported to the emission window, and b) the neutrons exiting from the window enter the reflection cavity and reach a state of equilibrium with the cavity (as well as the detector or other medium materials). Consequently, if all parameters such as the momentum and energy spectrum of the neutrons in the emission window, can be fully recorded, the entire physical model can be simplified to include only the emission window and reflection cavity. This simplification would greatly improve computational efficiency.
Physical process of neutron entering the reflection cavity
To better understand the temporal evolution of the neutron fluence rate in a closed radiation field, a simplified model was employed for physical analysis. As shown in Fig. 2, assuming that the closed radiation field is surrounded by polyethylene, three physical processes occur when a beam of parallel neutrons enters the reflection cavity: (1) neutrons are captured by interacting with the nuclei of the cavity walls, (2) neutrons are captured by interacting with the nuclei of the cavity walls, and (3) fresh neutrons enter the closed radiation field.
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Assuming a unit time interval Δ t, the incident neutron count is denoted by φ, and the neutron loss rate is L (0 ≤ L ≤ 1). During the nth time interval
First time interval Δ t1:
φ
Second time interval Δ t2:
φ+φ(1-L)
The third time interval Δ t3:
φ+(φ+φ(1-L))(1-L)
Fourth time interval Δ t4:
φ+(φ+(φ+φ(1-L))(1-L))(1-L)
Therefore, the total number of neutrons of the closed radiation field in nth time interval
As shown in Fig. 3, introducing medium materials such as Cd or the sensitive region materials of the detector into the closed radiation field will increase the neutron loss rate in the field. We assume that the loss rate under this condition is L1, where L1>L. The total number of neutrons within the closed radiation field tended towards a stable value after a relatively long time. According to Eq. (2), the total number of neutrons, as shown in Fig. 3, can be expressed as follows:
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Physical process of the neutron detector measurement
The physical process of neutron detector measurements is shown in Fig. 4. Neutrons arriving at the detector pass through the detector shell and enter the sensitive region, where they interact with the nuclei of the sensitive region to produce secondary particles and radiation. Information regarding the neutron fluence can be obtained by detecting the pulse count or current signal of these secondary particles and beams. Neutrons that are not captured exit the sensitive region, and their quantity is related to the capture cross section of the nuclei in the sensitive region. The neutrons measured by the detector at specific points in the radiation field per unit time, divided by the detection efficiency, represent the number of neutrons that enter the sensitive area from the surface. In other words, the starting point of the neutron detection process is the surface of the sensitive region rather than the geometric center of the detector, and the measurement process is the result of area detection rather than point detection. The average surface neutron fluence rate with energy E and direction θ, measured by the detector, can be obtained by integrating the fluence rate at the surface of the sensitive region of the detector and then normalizing it to the area (Eq. (3)), which represents the displayed value of the detector.
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Therefore, according to the definition mentioned above, the perturbation rate η
Experiment
Obtaining the perturbation rate of the occupied positions during the experiment was challenging, so the perturbation rates of the positions were selected to verify the new physics model in the neutron radiation field. The experiment consisted of two steps. First, a thermal neutron detector was used to measure the neutron fluence rate at a set of positions inside the reflection cavity, without any medium. In the second step, the same detector measured the neutron fluence rate at the same positions, but with the addition of the medium material. The change in neutron fluence rate between these two conditions represents the perturbation caused by the introduction of the medium material. The following two principles were considered in selecting the detector and material: (a) the detector should be as small as possible relative to the reflection cavity to minimize perturbation from the detector itself and the coupling between the medium material and the detector; and (b) the medium material should exert some perturbation on the neutron field of the reflection cavity to completely cover the sensitive region of the detector and allow observation of changes in neutron fluence rate as the distance between the detector and the material varies.
The thermal neutron detector, SP9, was manufactured by Centronic Ltd., UK. It has an external diameter of 3.2 cm, the stainless-steel shell that is 1 mm thick, and a nominal pressure of 230 kPa for 3He and 120 kPa for Kr at 20 ℃. The influence of SP9 on the neutron radiation field can be neglected because the volume of the detector is only 3 × 10-5 times that of the reflection cavity. For the medium, Cd was selected, with dimensions of 10 cm×11 cm×0.1 cm. Cd has an extremely large capture cross-section of 19964.1 barns for thermal neutrons (0.0253 eV) and can be considered a perfect blackbody. Other experiments and electronic devices are summarized in Table 1. The measurement time was set to 600 s.
Device | Model |
---|---|
Detector | SP9 (Centronic, UK) |
Preamplifier | 142PC (Ortec, USA) |
Main amplifier | 570 (Ortec, USA) |
High voltage | 556 (Ortec, USA) |
Multichannel analyzer | USB - MCA4 CH (TechnoAP, Japan) |
An experiment with Cd and its measurement positions is shown schematically in Fig. 5 and listed in Table 2. The Cd sheet was attached to an aluminum rod with a thermal neutron capture cross-section of 0.233 barns. The geometric center of the Cd sheet was located at the center of the reflection cavity, specifically at (45, 45, 32.5) (45 cm from the bottom, 45 cm from the east wall, and 32.5 cm from the back wall of the cavity, as shown below). The geometric center of the SP9 detector was placed 2.5 cm behind the Cd sheet, at position 1(45, 45, 30). The detector was measured at a single time interval of 300 s with a movement distance interval of 5 cm (toward the east wall). Compared to the initial position, the maximum movement range was 30 cm, whereas other measurement conditions remained unchanged. Moreover, to further understand the perturbation caused by the high-absorption cross-sectional material in the closed radiation field, the neutron fluence rate at position 8(45, 45, 35), which is mirror-symmetric to position 1 with respect to the Cd sheet, was also measured.
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Number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
---|---|---|---|---|---|---|---|---|---|
Position | East wall | 45 | 40 | 35 | 30 | 25 | 20 | 15 | 45 |
Bottom | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | |
Back wall | 30 | 30 | 30 | 30 | 30 | 30 | 30 | 35 |
Monte Carlo simulation
The verification of the physical process analysis and the physics model of perturbation rate in section 2.2 was conducted using MCNP X-2.7.0 (Monte Carlo N-Particle), with the library coupled with ENDF/B-VII. MCNP is a widely used Monte Carlo transport code system in the field of nuclear physics, particularly well-suited for neutron physics calculations, with developments originating from the Los Alamos National Laboratory. Figure 1 shows the geometric configuration of the thermal neutron reference radiation facility. The initial energy spectrum of all 241Am–Be neutron sources were recommended by the International Organization for Standardization 8529-1:2021 [25], and the final energy spectrum inside the stainless-steel capsule were obtained after several iterations of the initial energy spectrum [29, 30]. Thermal neutron scattering
According to the analysis in Sect. 2.2.1, the calculation process is divided into two parts to improve the overall efficiency: a) recording all neutron parameters at the emission window, including energy, location, direction, etc., and b) obtaining parameters at the target location by performing calculations in the reflection cavity, with the emission window acting as a new neutron source. MCNP provides surface source write (SSW) and surface source read (SSR) cards to facilitate these calculations. The SSW card was used to write a surface source file for subsequent MCNP calculations, and the SSR card was used to read the surface source file created with the SSW card. First, the initial calculation sets the global importance factor IMP=1 (shown in Fig. 6 (a)) and uses the SSW card to record the neutron parameters for all S1 surfaces, including the surface of the emission window (shown in Fig. 6 (b)). Second, we set the importance factor IMP=0 for the S1 region and IMP=1 for the remaining regions, using the
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Results and discussion
The results of the experiment
The experimental measurement results, corrected for dead time, are shown in Fig. 7. As the thermal neutron spectrum corresponds to a Maxwell distribution in the reflection cavity, the response functions R(E) and Raverage should be constant. According to Eq. (6), the count rate C is proportional to the fluence rate φ. For the condition without the Cd sheet, the variation in the count rate ranged from (6170 ± 11) counts per second (cps) to (6272 ± 11) cps as the SP9 detector moved from position 1 to position 7, with the count rate being (6159 ± 11) cps at position 8. A nonuniformity of only 0.64 % indicates that the neutron fluence rates at all positions were essentially the same in the reflection cavity without Cd. For the condition with the Cd sheet, the count rate ranged from (4631 ± 8) cps at position 1 to (4631 ± 8) cps at position 7, with the count rate being (4631 ± 8) cps at position 8. The nonuniformity was 15.3 % in this case, indicating that the introduction of the Cd sheet caused a larger perturbation in the neutron radiation field, and the perturbation rate increased as the detector approached the Cd sheet.
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As shown in Fig. 7, the perturbation rate of the experimental results varied from (2.5 ± 0.2) % (position 7) to (36.4 ± 0.2) % (position 1) compared to the condition without the Cd sheet. At position 1, where the geometric center of the detector coincides with that of the Cd sheet and the detector body was completely covered by the Cd-sheet, the perturbation of the fluence rate was (36.4 ± 0.2) %, indicating that 63.6 % of the neutrons originated from scattering by the reflection cavity walls. The fluence perturbation rate at position 8 was (24.8 ± 0.2) %, which is 11.6 % smaller than that at position 1. The two positions were mirror-symmetric about the Cd sheet; neutrons from the emission window and those scattered from the walls were absorbed by the Cd sheet, resulting in an uneven distribution of the neutron fluence rate between the Cd-sheet’s front and back surfaces. Therefore, in a closed radiation field, if a detector with a large sensitive region is used, the absorption of thermal neutrons by the sensitive region will likely lead to an uneven distribution of the neutron fluence rate on the surface of the sensitive region. In this case, the geometric center of the detector is not an effective measurement center.
The results of the new method and tradition simulation
Figure 8 shows the perturbation rate at eight positions from the experiment, the new method, and the traditional simulation. All three results show similar trends: the perturbation rates gradually increase as the distance from the Cd sheet decreases. The maximum values for the new and traditional methods were (41.6 ± 0.1) % and (43.2 ± 0.1) % at position 1 and (26.5 ± 0.1) % and (28.2± 2.1) % at the mirror-symmetric position 8. Although the differences in perturbation rates between the experiment and the new method, as well as between the experiment and the traditional simulation, were relatively obvious at positions 1, 2, and 8, the absolute values of these differences remained within 10 % across all positions, indicating the reliability of the results obtained from both calculations. For positions 3, 4, 5, 6, and 7, the differences a and b were consistent and close to zero, indicating that the two results were in agreement with the experimental results. The maximum differences, specifically (5.2 ± 0.1) % and (6.8 ± 0.1) %, were observed at position 1, whereas a certain level of deviation was evident at positions 2 and 8 when compared with the experimental results. This observation suggests that the complexity of the radiation field and its proximity to the Cd sheet significantly impact the accuracy of the calculations, with greater complexity and close proximity resulting in more pronounced effects. However, compared to difference b (2.17 %), the new method demonstrated a lower average difference of 1.67 %. Both the absolute values and the average difference were smaller, indicating that the calculation results obtained using the new method were more accurate. However, the two values are quite similar, and the difference between the new method and the traditional simulation method can be attributed to the different mathematical and physical neutron statistical methods used in MCNP.
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The perturbation of three-dimensional neutron energy spectrum
As mentioned above, introducing a medium material, particularly one with strong neutron absorption properties such as Cd, into a closed radiation field not only perturbs the total fluence rate but also influences the neutron energy spectrum and direction. The neutron energy spectrum is a critical parameter describing the neutron irradiation field of a radiation source [31-35]. It provides information on the total fluence and the relationship between fluence and energy. Neutrons also exhibit directionality, which is an important physical characteristic in neutron detection. For certain physical quantities, such as the neutron ambient dose equivalent rate and personal dose equivalent rate, the neutron incident direction is a significant parameter, alongside the energy spectrum and fluence-dose equivalent conversion coefficients [36]. The neutron fluence at a specific position φ is defined as the sum of the neutrons of all energies E and incident directions θ: If only the relationship between the neutron fluence and energy,
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Perturbation rate for different materials and size
According to Eq. (6) and the conclusions mentioned above, the perturbation rates of the neutron fluence rate for four common materials, namely 3He gas (the same as the SP9 component), Cd, polyethylene (PE), and graphite, were calculated in the reflection cavity. To better observe the relationship between material volume and perturbation rate, these materials were assumed to be spherical with diameters of 1.5 cm (3 × 10-5) times the volume of the reflection cavity) and 15 cm (3 × 10-2) times the volume of the reflection cavity). As shown in Fig. 12, the perturbation rate η followed the order: ηCd> ηHe-3>ηPE>ηGraphite for both 1.5 cm or 15 cm radius spheres. This order matches the neutron capture cross-section order for these materials [37]. The ratio of
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Conclusion
In this study, systematic and methodological research on the perturbation correction of medium materials in a closed thermal neutron radiation field was conducted. The following conclusions were drawn:
(1) A new physics model and associated formulas are developed to address and correct neutron fluence rate perturbations. This approach transforms the detection process from point detection to area detection and is validated through theoretical derivation, experimentation, and Monte Carlo simulation. The perturbation rate obtained using this method were closer to experimental results compared to traditional simulations and can be applied to other detector shapes. This measurement concept is also significant for detecting other radiation sources such as X-rays or γ-rays, correcting the geometric effects, and determining effective measurement points in an inhomogeneous radiation field.
(2) A three-dimensional neutron energy spectrum was constructed by incorporating neutron directionality, providing more comprehensive information about the radiation field. Analysis of this spectrum revealed that perturbation primarily affects the neutron fluence rate rather than the neutron direction or spectral shape in a closed thermal neutron radiation field.
(3) The perturbation rates of different materials and sizes were analyzed. The results indicated that the perturbation rate is influenced by the capture cross-section and size of the medium; the larger the volume and capture cross section of the medium; large volumes and high capture cross-sections lead to high perturbation rates in the closed radiation field.
This study is crucial role for improving the accuracy of instrument calibration and material performance evaluations. Moreover, it addresses a key physics problem in the research of closed radiation fields and enhances understanding of radiation field distribution characteristics. Future work will focus on detailed research of perturbation rates with different materials and neutron fields.
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