Design method and system of anti-radiation high-energy particle detection lens and medium

Abstract

The invention provides a design method and system of an anti-radiation high-energy particle detection lens and a medium, and the method comprises the steps: carrying out the modeling of an optical imaging path based on a composite aspherical lens structure, and obtaining an optical lens; the method comprises the following steps: setting processing technological parameters based on a Ce-doped glass melting preparation method, carrying out radiation hardening treatment on an optical lens, carrying out radiation hardening simulation verification on a treatment result, and dynamically adjusting the processing technological parameters to obtain a radiation hardening optical imaging system; constructing a layered composite lead alloy shielding structure, analyzing energy attenuation information of the radiation hardening optical imaging system, and adjusting the thickness of the layered composite lead alloy shielding structure based on the energy attenuation information to obtain an overall optical imaging system; a light-heat-radiation coupling system model is constructed, reliability testing is carried out, the overall optical imaging system is evaluated, and a life interval is predicted; scattering background noise is reduced through a shielding structure, so that image definition and structural stability in a high-energy detection task are guaranteed.

Description

Technical Field

[0001] This application relates to the field of detection lens technology, and more specifically, to a design method, system, and medium for a radiation-resistant high-energy particle detection lens. Background Technology

[0002] In today's high-energy environments, such as nuclear energy technology, aerospace engineering, and particle physics, the accurate detection of high-energy particles has become a key technological means to ensure the safe operation of equipment and improve the efficiency of scientific research. However, under high radiation dose environments, traditional optical imaging lenses suffer from serious problems such as reduced light transmittance, optical structure degradation, and significantly increased image noise. This performance degradation not only limits the service life of the detection system but also seriously affects the accurate reflection of image data, thereby negatively impacting subsequent critical processes such as physical modeling, radiation distribution inversion, and radiation dose assessment.

[0003] Currently, most high-energy particle detector lenses primarily use silicate glass as their optical material. This type of material is prone to structural defect migration and the formation of color centers under prolonged irradiation by gamma rays, electron beams, or neutron beams, ultimately leading to a decline in spectral response performance. According to existing experimental data, the transmittance of ordinary silicate glass decreases by more than 20% when the cumulative radiation dose reaches 10 kGy, which is unacceptable in systems such as geostationary space telescopes or nuclear power plant monitoring systems. Furthermore, traditional lens designs often neglect the accumulation of background noise caused by radiation scattering effects, resulting in a significant deterioration in image quality under high-dose environments.

[0004] Therefore, developing a high-energy particle detection lens with radiation resistance, low noise, and structural stability has become a critical issue that urgently needs to be addressed. To address these issues, this invention proposes a radiation-resistant high-energy particle detection lens based on a combination of radiation-hardened glass and a lead alloy shielding structure, exhibiting excellent transmittance retention and low background noise capabilities. Summary of the Invention

[0005] The purpose of this application is to provide a design method, system and medium for a radiation-resistant high-energy particle detection lens, which reduces scattering background noise through a shielding structure, thereby ensuring image clarity and structural stability in high-energy detection missions.

[0006] This application also provides a design method for a radiation-resistant high-energy particle detection lens, including:

[0007] The optical imaging path is modeled based on the composite aspherical lens structure to obtain the optical lens.

[0008] Processing parameters were set based on the Ce-doped glass melting preparation method, and the optical lens was subjected to radiation hardening treatment based on the processing parameters to obtain the processing result;

[0009] The processing results were verified by radiation hardening simulation. Based on the simulation verification results, the processing parameters were dynamically adjusted to obtain the radiation hardening optical imaging system.

[0010] A layered composite lead alloy shielding structure was constructed, and the energy attenuation information of the radiation-hardened optical imaging system was analyzed. Based on the energy attenuation information, the thickness of the layered composite lead alloy shielding structure was adjusted to obtain the overall optical imaging system.

[0011] A light-heat-radiation coupled system model is constructed, and the overall optical imaging system is subjected to reliability testing to obtain performance test results. Based on the performance test results, the overall optical imaging system is evaluated and its lifespan is predicted.

[0012] Optionally, in the design method of the radiation-resistant high-energy particle detection lens described in the embodiments of this application, the imaging path of the optical system is established based on geometric optics formulas, as follows:

[0013] Let the incident point light source be P. s The imaging point is P i It passes through n lenses, with lens parameters {R} k ,d k ,n k} represent the radius of curvature, thickness, and refractive index of the k-th lens, respectively;

[0014] The path of light refraction is derived according to Snell's law:

[0015] n k sinθ k =n k+1 sinθ k+1

[0016] sinθ k and sinθ k+1 These represent the sine values ​​of the incident angle or the refraction angle at the k-th lens and the (k+1)-th lens, respectively.

[0017] n k n k+1 The refractive indices of the k-th and k+1-th lenses or media, respectively;

[0018] The overall optical transfer function H(ω) of the lens system is the product of the Fourier optical transforms of the lenses in series:

[0019]

[0020] in:

[0021]

[0022] This represents the expression for the optical transfer function of the k-th lens in the frequency domain.

[0023] j represents the imaginary unit, used to construct the complex form of the transfer function, reflecting the phase delay and attenuation of the light wave; ω is the spatial frequency variable, and λ is the center wavelength.

[0024] Optionally, in the design method of the radiation-resistant high-energy particle detection lens described in the embodiments of this application, high-purity SiO2 is selected as the substrate material, CeO2 as the radiation inhibitor, and Na2O and CaO as the tempering fluxing components. Ce-doped glass is prepared by melting and annealing process, as follows:

[0025] The ingredient ratio is designed as follows:

[0026]

[0027] Set the heating rate Target temperature T m =1000-1550℃, keep warm for 1-2 hours;

[0028] Once the target temperature is reached, annealing is performed by cooling to 600-650℃ and holding at that temperature for 3-4 hours. Slow cooling is then carried out to reduce stress and allow Ce to form inside the glass. 3+ It stabilizes the complexation center and effectively passivates irradiation-induced color centers.

[0029] Optionally, in the design method of the radiation-resistant high-energy particle detection lens described in the embodiments of this application, the radiation hardening simulation verification method is as follows:

[0030] Introducing the radiation-induced color center density function ρ cf (D) The radiation-induced color center density function exhibits a nonlinear passivation relationship with Ce concentration as follows:

[0031]

[0032] Where: ρ0 is the maximum color center density; C Ce The molar concentration of CeO2 is given; K is the passivation half-saturation constant; β is the irradiation sensitivity coefficient; by controlling C Ce ≈1.2%, which can make the attenuation rate of color center density <5% when D=10kGy.

[0033] The radiation hardening was simulated and verified based on the nonlinear passivation relationship between the radiation-induced color center density function and Ce concentration, and the simulation results were obtained.

[0034] Optionally, in the design method of the radiation-resistant high-energy particle detection lens described in the embodiments of this application, the shielding structure is composed of two layers of lead alloy, with the thickness optimized for electrons and gamma rays respectively; the penetration probability P(E) is analyzed based on energy attenuation information, and the expression for the penetration probability P(E) is as follows:

[0035]

[0036] in:

[0037] μ i (E) represents the linear attenuation coefficient of the i-th layer material for particles with energy E;

[0038] d i Let be the thickness of the i-th layer.

[0039] The relationship between shielding efficiency η and material thickness is as follows:

[0040] η(d)=1-P(E)=1-exp(-∑μ i (E)·d i )

[0041] The shielding efficiency is analyzed based on the penetration probability, and the thickness of the layered composite lead alloy shielding structure is adjusted accordingly.

[0042] Optionally, in the design method of the radiation-resistant high-energy particle detection lens described in the embodiments of this application, the optical-thermal-radiation coupling system model is as follows:

[0043] Set the optical transmittance T and the background noise N. b The signal-to-noise ratio (SNR) of a lens is defined as:

[0044]

[0045] Where D represents the cumulative radiation dose, N′ b P represents the background noise after shielding. signal It represents the effective signal light intensity per unit time.

[0046] Secondly, embodiments of this application provide a design system for a radiation-resistant high-energy particle detection lens. The system includes a memory and a processor. The memory includes a program for designing a radiation-resistant high-energy particle detection lens. When the program for designing the radiation-resistant high-energy particle detection lens is executed by the processor, it performs the following steps:

[0047] The optical imaging path is modeled based on the composite aspherical lens structure to obtain the optical lens.

[0048] Processing parameters were set based on the Ce-doped glass melting preparation method, and the optical lens was subjected to radiation hardening treatment based on the processing parameters to obtain the processing result;

[0049] The processing results were verified by radiation hardening simulation. Based on the simulation verification results, the processing parameters were dynamically adjusted to obtain the radiation hardening optical imaging system.

[0050] A layered composite lead alloy shielding structure was constructed, and the energy attenuation information of the radiation-hardened optical imaging system was analyzed. Based on the energy attenuation information, the thickness of the layered composite lead alloy shielding structure was adjusted to obtain the overall optical imaging system.

[0051] A light-heat-radiation coupled system model is constructed, and the overall optical imaging system is subjected to reliability testing to obtain performance test results. Based on the performance test results, the overall optical imaging system is evaluated and its lifespan is predicted.

[0052] Optionally, in the design system of the radiation-resistant high-energy particle detection lens described in the embodiments of this application, the imaging path of the optical system is established based on geometric optics formulas, as follows:

[0053] Let the incident point light source be P. s The imaging point is P i It passes through n lenses, with lens parameters {R} k ,d k ,n k} represent the radius of curvature, thickness, and refractive index of the k-th lens, respectively;

[0054] The path of light refraction is derived according to Snell's law:

[0055] n k sinθ k =n k+1 sinθ k+1

[0056] The overall optical transfer function H(ω) of the lens system is the product of the Fourier optical transforms of the lenses in series:

[0057]

[0058] in:

[0059]

[0060] ω is the spatial frequency variable, and λ is the center wavelength.

[0061] Optionally, in the radiation-resistant high-energy particle detection lens design system described in the embodiments of this application, high-purity SiO2 is selected as the substrate material, CeO2 as the radiation inhibitor, and Na2O and CaO as tempering fluxing components. Ce-doped glass is prepared by melting and annealing process, as follows:

[0062] The ingredient ratio is designed as follows:

[0063]

[0064] Set the heating rate Target temperature T m =1000-1550℃, keep warm for 1-2 hours;

[0065] Once the target temperature is reached, annealing is performed by cooling to 600-650℃ and holding at that temperature for 3-4 hours. Slow cooling is then carried out to reduce stress and allow Ce to form inside the glass. 3+ It stabilizes the complexation center and effectively passivates irradiation-induced color centers.

[0066] Thirdly, embodiments of this application also provide a computer-readable storage medium, which includes a design method program for a radiation-resistant high-energy particle detection lens. When the design method program for a radiation-resistant high-energy particle detection lens is executed by a processor, it implements the steps of the design method for a radiation-resistant high-energy particle detection lens as described in any of the preceding claims.

[0067] As described above, the design method, system, and medium for a radiation-resistant high-energy particle detection lens provided in this application involve: modeling the optical imaging path based on a composite aspherical lens structure to obtain the optical lens; setting processing parameters based on a Ce-doped glass melting preparation method; performing radiation hardening treatment on the optical lens based on these parameters to obtain the processing result; verifying the processing result through radiation hardening simulation; dynamically adjusting the processing parameters based on the simulation results to obtain a radiation-hardened optical imaging system; constructing a layered composite lead alloy shielding structure; analyzing the energy attenuation information of the radiation-hardened optical imaging system; adjusting the thickness of the layered composite lead alloy shielding structure based on the energy attenuation information to obtain the overall optical imaging system; constructing a light-heat-radiation coupling system model; conducting reliability tests on the overall optical imaging system to obtain performance test results; evaluating the overall optical imaging system based on the performance test results; and predicting the lifetime range. The shielding structure reduces scattering background noise, thereby ensuring image clarity and structural stability in high-energy detection missions. Attached Figure Description

[0068] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0069] Figure 1 A flowchart illustrating the design method of a radiation-resistant high-energy particle detection lens provided in this application embodiment;

[0070] Figure 2 The graph shows the transmittance variation of Ce-doped SiO2 glass in the design method of the radiation-resistant high-energy particle detection lens provided in the embodiments of this application. The horizontal axis represents the cumulative radiation dose D (unit: kGy), ranging from 0 to 20 kGy; the vertical axis represents the transmittance T(λ,D) (unit: %), with 100% as the initial state; the dashed line represents ordinary optical glass, whose transmittance decreases rapidly with the dose; the solid line represents the Ce-doped glass material used in this invention, where the decrease in transmittance is significantly slowed down, and it still remains above about 95% at 10 kGy.

[0071] Figure 3 The cross-sectional structure diagram and energy spectrum response model curve of the multilayer lead alloy shielding structure provided in the design method of the radiation-resistant high-energy particle detection lens of this application are shown in the figure. The cross-sectional diagram shows the thickness difference and material layer of the multilayer structure. The curve shows the change of the penetration probability P(E) under different shielding thicknesses, explaining the attenuation process of high-energy γ rays and electrons in the material.

[0072] Figure 4 The figure shows a three-dimensional surface plot of the SNR maintenance model of the design method of the radiation-resistant high-energy particle detection lens provided in the embodiments of this application; in the figure, the horizontal axis is the radiation dose D, the vertical axis is the ambient temperature T, and the vertical axis is the imaging signal-to-noise ratio SNR; the figure shows the variation trend of the imaging signal-to-noise ratio SNR of the system of the present invention under different radiation doses D (unit: kGy) and ambient temperatures (unit: ℃).

[0073] The figure shows that as the dose D increases, the SNR decreases exponentially; increasing temperature also accelerates the decrease in signal-to-noise ratio.

[0074] Figure 5 A comparison of stress variation curves of different structures under thermal cycling test for the design method of the radiation-resistant high-energy particle detection lens provided in the embodiments of this application; Dashed curve (ordinary packaging structure): the interface stress fluctuates drastically under temperature changes, and the maximum stress is significantly higher than the safety threshold, posing a risk of structural cracking; Solid curve (ceramic buffer structure of the present invention): the stress fluctuation amplitude is small, and the overall level is significantly lower, indicating that the buffer layer effectively alleviates the problem of thermal stress concentration.

[0075] Figure 6 This is a schematic diagram of the overall structure of the radiation-resistant high-energy particle detection lens of the design system provided in the embodiments of this application.

[0076] In the figure, 101 is Ce-doped SiO2 radiation-hardened glass for the front window, 102 is a composite aspherical optical group, 103 is a first layer of lead alloy thin shielding shell, 104 is a second layer of lead alloy thick shielding shell, 105 is a CCD imaging sensor, and 106 is a ceramic buffer layer. Detailed Implementation

[0077] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0078] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0079] Please refer to Figures 1-5 As shown, the design method of this radiation-resistant high-energy particle detection lens is used in terminal equipment. The design method of this radiation-resistant high-energy particle detection lens includes the following steps:

[0080] S101, based on the composite aspherical lens structure, the optical imaging path is modeled to obtain the optical lens;

[0081] S102, Based on the Ce-doped glass melting preparation method, the processing parameters are set, and the optical lens is subjected to radiation hardening treatment based on the processing parameters to obtain the processing result;

[0082] S103, Perform radiation hardening simulation verification on the processing results, and dynamically adjust the processing parameters based on the simulation verification results to obtain the radiation hardening optical imaging system;

[0083] S104. Construct a layered composite lead alloy shielding structure, analyze the energy attenuation information of the radiation-hardened optical imaging system, adjust the thickness of the layered composite lead alloy shielding structure based on the energy attenuation information, and obtain the overall optical imaging system.

[0084] S105. Construct a light-heat-radiation coupled system model, conduct reliability tests on the overall optical imaging system, obtain performance test results, evaluate the overall optical imaging system based on the performance test results, and predict the lifespan range.

[0085] According to an embodiment of the present invention, the imaging path of an optical system is established based on geometric optics formulas, as follows:

[0086] Let the incident point light source be P. s The imaging point is P i It passes through n lenses, with lens parameters {R} k ,d k ,n k} represent the radius of curvature, thickness, and refractive index of the k-th lens, respectively;

[0087] The path of light refraction is derived according to Snell's law:

[0088] n k sinθ k =n k+1 sinθ k+1

[0089] The overall optical transfer function H(ω) of the lens system is the product of the Fourier optical transforms of the lenses in series:

[0090]

[0091] in:

[0092]

[0093] This represents the expression for the optical transfer function of the k-th lens in the frequency domain.

[0094] j represents the imaginary unit, used to construct the complex form of the transfer function, reflecting the phase delay and attenuation of the light wave; ω is the spatial frequency variable, and λ is the center wavelength.

[0095] According to an embodiment of the present invention, high-purity SiO2 is selected as the substrate material, CeO2 as the radiation inhibitor, and Na2O and CaO as tempering fluxing components. Ce-doped glass is prepared by melting and annealing based on a melt-annealing process, as follows:

[0096] The ingredient ratio is designed as follows:

[0097]

[0098] Set the heating rate Target temperature T m =1000-1550℃, keep warm for 1-2 hours;

[0099] Once the target temperature is reached, annealing is performed by cooling to 600-650℃ and holding at that temperature for 3-4 hours. Slow cooling is then carried out to reduce stress and allow Ce to form inside the glass. 3+ It stabilizes the complexation center and effectively passivates irradiation-induced color centers.

[0100] Specifically, the spectral transmittance modeling of radiation-hardened glass is as follows:

[0101] This invention uses Ce-doped SiO2-based glass as the main lens material, denoted as material. In a high-energy radiation field, the light transmittance of a material changes over time, and its degradation behavior can be modeled as follows:

[0102] T(λ,D)=T0(λ)·exp(-α(λ)·D)

[0103] in:

[0104] T(λ,D) represents the transmittance at a dose D when the wavelength is λ;

[0105] T0(λ) is the initial transmittance before irradiation;

[0106] α(λ) is the radiation attenuation coefficient of the material at wavelength λ, with units of kGy. -1 ;

[0107] D represents the cumulative radiation dose, measured in kGy.

[0108] Experimentally determined α(λ) can be obtained through nonlinear regression fitting. Taking the visible light center wavelength λ = 550 nm as an example, the fitting results show:

[0109] α(550nm)≈4.6×10 -4 kGy -1

[0110] At D = 10 kGy, the transmittance degrades to:

[0111] T(550,10)=T0(550)·exp(-4.6×10 -4 ·10)=T0(550)·e -0.0046

[0112] ≈T0(550)·0.9954

[0113] This shows that the light transmittance decreased by less than 0.5%, far lower than the 20% degradation rate of traditional glass materials, verifying the effective suppression mechanism of Ce doping on color centers.

[0114] According to an embodiment of the present invention, the radiation hardening simulation verification method is as follows:

[0115] Introducing the radiation-induced color center density function ρ cf (D) The radiation-induced color center density function exhibits a nonlinear passivation relationship with Ce concentration as follows:

[0116]

[0117] Where: ρ0 is the maximum color center density; C Ce Where is the molar concentration of CeO2; K is the passivation half-saturation constant; β is the radiation sensitivity coefficient;

[0118] The radiation hardening was simulated and verified based on the nonlinear passivation relationship between the radiation-induced color center density function and Ce concentration, and the simulation results were obtained.

[0119] According to an embodiment of the present invention, the shielding structure consists of two layers of lead alloy, with the thickness optimized for electrons and gamma rays respectively; the penetration probability P(E) is analyzed based on energy attenuation information, and the expression for the penetration probability P(E) is as follows:

[0120]

[0121] in:

[0122] μ i (E) represents the linear attenuation coefficient of the i-th layer material for particles with energy E;

[0123] d i Let be the thickness of the i-th layer.

[0124] The relationship between shielding efficiency η and material thickness is as follows:

[0125] η(d)=1-P(E)=1-exp(-∑μ i (E)·d i )

[0126] The shielding efficiency is analyzed based on the penetration probability, and the thickness of the layered composite lead alloy shielding structure is adjusted accordingly.

[0127] Specifically, simulation data shows that when d1 = 3 mm and d2 = 5 mm, the shielding efficiency can reach 93% for E = 1.25 MeV γ rays.

[0128] Optimized proportioning and thermal expansion control of lead alloys:

[0129] The lead alloy composition adopts a Pb-Sb-Bi ternary system, where Sb is mainly used to improve structural strength, and Bi helps to reduce the coefficient of thermal expansion.

[0130]

[0131] The coefficient of linear expansion of lead alloys is α = 28 × 10⁻⁶. -6 K -1 , combined with the α of glass g =0.5×10 -6 K -1 A buffer ceramic layer needs to be designed to eliminate thermal stress.

[0132] The ceramic layer is made of zirconium oxide (ZrO2), which has a coefficient of thermal expansion of approximately 10.3 × 10⁻⁶. -6 K -1 The matching effect is good.

[0133] It should be noted that the modeling of the suppression of the scattered field by the shielding structure is as follows:

[0134] The background radiation in the high-energy environment in which the lens is located can be described by the scattering function B(θ,E), where θ is the incident angle and E is the particle energy. The background noise N introduced by scattering... b It can be represented as:

[0135]

[0136] Where S(θ,E) represents the incident flux in the unshielded state. The lead alloy shielding layer has a thickness of d, and according to the exponential decay law, its attenuation factor is:

[0137] A(d,E)=exp(-μ(E)·d)

[0138] Where μ(E) is the linear attenuation coefficient, in cm. -1 After adding a shielding layer, the background noise becomes:

[0139]

[0140] Define the noise suppression factor η as:

[0141]

[0142] B·A·S represents the attenuated scattered radiation flux with a shielding layer. S(θ,E) is the original incident flux;

[0143] A(d,E) represents the attenuation of the incident flux by the shielding layer; B(θ,E) represents the distribution of the attenuated flux during the scattering process.

[0144] Therefore, we can calculate that μ≈1.2cm at d=1cm and E=0.5MeV. -1 ,but:

[0145]

[0146] That is, background noise was suppressed by nearly 70%.

[0147] According to an embodiment of the present invention, the optical-thermal-radiation coupling system model is as follows:

[0148] Set the optical transmittance T and the background noise N. b The signal-to-noise ratio (SNR) of a lens is defined as:

[0149]

[0150] Where P signal It represents the effective signal light intensity per unit time.

[0151] It should be noted that, with Ce 3+ Based on the ion-doped SiO2 glass system, the light transmittance stability of the material under high-dose irradiation is significantly improved by constructing a radiation-induced color center absorption model and an energy level transfer suppression mechanism.

[0152] in:

[0153] T(λ,D)=T0(λ)·exp(-α(λ)·D)

[0154] And α(λ) is proportional to the density of color centers, which can be expressed as:

[0155]

[0156] It can be seen that by increasing C Ce It can effectively reduce ρ cf (D), thereby reducing the radiation attenuation factor α(λ) and thus improving the ability to maintain transmittance.

[0157] According to embodiments of the present invention, the system integration and optical-thermal-irradiation triple coupling reliability testing are also included:

[0158] (1) Mechanical assembly process:

[0159] The lens employs a coaxial cylindrical shell structure, utilizing threaded locking and thermal expansion / contraction assembly methods to ensure sealing. Key component pressure stress modeling:

[0160]

[0161] σ r (r) represents the radial stress at the radial position r. ′ It is an integration variable, representing the radial position variable (from 0 to r) used in the integration process.

[0162] Where p(r′) is the local pressure distribution function, and its maximum stress is controlled to be less than the glass fracture stress limit σ. c =45MPa.

[0163] (2) Thermal stability test procedure:

[0164] The packaging system was verified to be free of cracks and light leakage after 100 cycles of thermal cycling (-60℃ to 85℃). The optical alignment error ΔL caused by thermal expansion satisfies:

[0165] ΔL=L0·αeff ·ΔT<10μm

[0166] L0 represents the initial length, α eff ΔT represents the effective thermal expansion coefficient, and ΔT represents the temperature change.

[0167] (3) Radiation aging test method:

[0168] A Co-60 source was used to simulate a gamma radiation field, with a dose rate set at 1 kGy / h and a cumulative irradiation dose of 10 kGy. Tests were conducted separately:

[0169] Changes in spectral transmittance;

[0170] Aberration variations (using the MTF function);

[0171] Changes in imaging SNR.

[0172] The measured results all met the theoretical expectations, with a light transmittance decrease of <5% and an SNR retention rate of >90%.

[0173] According to embodiments of the present invention, the method further includes the construction of a layered composite lead alloy shielding structure and the optimization design of its energy spectrum:

[0174] Traditional shielding structures often use a single layer of thick lead, which not only incurs a large mass burden but also has poor adaptability to different particle types and energies. To overcome this limitation, this invention introduces the energy spectrum attenuation response function A(E) as the shielding optimization objective:

[0175]

[0176] Where μ i (E) is the linear decay coefficient of the composite material at energy E.

[0177] Optimize thickness combinations by back-engineering simulation and experimental data. To maximize the overall noise suppression rate, we obtain:

[0178]

[0179] Using a hybrid optimization method combining genetic algorithm and particle swarm optimization, the appropriate result is obtained:

[0180]

[0181] d Pb1 and d Pb2 These represent the thicknesses of the first and second lead alloy layers in the layered composite lead alloy shielding structure, respectively. is the attenuation factor, representing the proportion by which the strength of a particle with energy E decreases after passing through a shielding material of thickness d.

[0182] Background gamma noise suppression ratio exceeds 93%, higher than the 87% of traditional thick single-layer structures, and reduces total weight by approximately 12%.

[0183] To eliminate the thermal expansion mismatch between lead alloys and optical glass, this invention adds a layer of ZrO2 buffer ceramic, whose coefficient of thermal expansion is close to that of Ce-SiO2 glass, effectively reducing the thermal stress gradient at the contact interface.

[0184] The stress relief factor is defined as:

[0185]

[0186] α Zr α represents the coefficient of thermal expansion of the zirconia ceramic buffer layer. Pb α represents the coefficient of thermal expansion of lead alloy materials. g This indicates the coefficient of thermal expansion of the glass material. It refers to the Ce-doped SiO2 radiation-hardened glass used.

[0187] Substituting the data, we get:

[0188]

[0189] The stress decreased by 35.6%, significantly improving reliability under thermal cycling.

[0190] According to embodiments of the present invention, the comprehensive SNR maintenance rate is also included as an indicator of system-level performance stability, as shown in the following formula:

[0191]

[0192] N′ b (D,T,t) represents the shielded background noise intensity experienced by the optical imaging system after being exposed to a specific radiation dose D, at a specific ambient temperature T, and operating for a specific time t. SNR(D,T,t) represents the real-time signal-to-noise ratio under specific operating conditions.

[0193] A complete response surface is established by combining time, temperature, and radiation dose:

[0194]

[0195] Where: t represents time. T represents temperature. SNR0 refers to the signal-to-noise ratio of the system at the initial moment (t=0), without radiation (D=0), and at a standard reference temperature (e.g., 25℃).

[0196] δ1, δ2, and δ3 are the radiation, aging, and thermal influence coefficients, respectively.

[0197] The coefficients were obtained through multiple sets of fitting experiments. For the Ce-SiO2 system, the measured value was δ1≈4.6×10⁻⁶. -4 kGy-1 δ2≈1.2×10 -5 h -1 δ3≈2.1×10 -3 K -1 .

[0198] According to an embodiment of the present invention, a model of the overall system quality function is constructed as follows:

[0199] This invention proposes a quality optimization function:

[0200]

[0201] ρ i This represents the density of the i-th material (unit: kg / m³). 3 ).

[0202] V i This represents the volume occupied by the i-th material (unit: m). 3 ).

[0203] d i This represents the thickness of the i-th material (unit: m). In a flat or layered structure, volume V = area A × thickness d.

[0204] A i Represents the surface area or cross-sectional area of ​​the i-th material (unit: m²). 2 ).

[0205] The formula for the objective optimization problem is:

[0206]

[0207] Formula explanation:

[0208] 1. Objective Function:

[0209]

[0210] Meaning: Minimize the total mass M of the system total .

[0211] Variable description:

[0212] ρ i : The density of the i-th layer of material;

[0213] V i : The volume of the i-th layer of material;

[0214] A i : The cross-sectional area of ​​the i-th layer of material (assumed to be constant);

[0215] d i: Thickness of the i-th layer of material (optimization variable).

[0216] 2. Constraints:

[0217]

[0218] Meaning: The shielding efficiency η must not be lower than a certain minimum value η min (The percentage is set at 92% in the text).

[0219] Variable description:

[0220] Shielding efficiency is related to the thickness vector. The function;

[0221] η min : Minimum acceptable shielding efficiency (92% in the text).

[0222] Physical meaning:

[0223] The goal of this optimization problem is to adjust the thickness d of each layer of shielding material while ensuring a shielding efficiency of no less than 92%. i This makes the total mass M of the entire system total Minimum.

[0224] Under the constraint of achieving a shielding efficiency greater than 92%, the optimal thickness combination is obtained, such that M total It weighs approximately 1.43 kg, a 15.2% reduction compared to traditional lenses.

[0225] Track-adaptive thermally modulated reflective film integration:

[0226] To address the issue of drastic temperature differences during day and night cycles in space, a heat-reflective coating is integrated into the surface of the outer lens barrel. This coating employs a TiN / Au multilayer structure with a reflectivity of up to 95%, which can significantly reduce focal length drift caused by thermal expansion and contraction.

[0227] In summary, the comprehensive performance evaluation data of this invention is summarized in Table 1.

[0228] Table 1

[0229] project This invention system ordinary optical system Light transmittance decreased (10kGy) <5％ 18％～22％ Background noise suppression rate >93％ ～84％ Imaging shift after thermal cycling <5μm 25~60μm Total weight (tube + optics) ≈1.43kg ≈1.68kg Imaging signal-to-noise ratio (standard range) 45dB↑ 30dB↓

[0230] like Figure 6 As shown, in a second aspect, embodiments of this application provide a design system for a radiation-resistant high-energy particle detection lens. The system includes a memory and a processor. The memory contains a program for designing a radiation-resistant high-energy particle detection lens. When the program for designing a radiation-resistant high-energy particle detection lens is executed by the processor, it performs the following steps:

[0231] The optical imaging path is modeled based on the composite aspherical lens structure to obtain the optical lens.

[0232] Processing parameters were set based on the Ce-doped glass melting preparation method, and the optical lens was subjected to radiation hardening treatment based on the processing parameters to obtain the processing result;

[0233] The processing results were verified by radiation hardening simulation. Based on the simulation verification results, the processing parameters were dynamically adjusted to obtain the radiation hardening optical imaging system.

[0234] A layered composite lead alloy shielding structure was constructed, and the energy attenuation information of the radiation-hardened optical imaging system was analyzed. Based on the energy attenuation information, the thickness of the layered composite lead alloy shielding structure was adjusted to obtain the overall optical imaging system.

[0235] A light-heat-radiation coupled system model is constructed, and the overall optical imaging system is subjected to reliability testing to obtain performance test results. Based on the performance test results, the overall optical imaging system is evaluated and its lifespan is predicted.

[0236] Specifically, the radiation-resistant high-energy particle detection lens includes a Ce-doped SiO2 radiation-hardened glass front window 101, a composite aspherical optical group 102, a first lead alloy thin shielding shell 103, a second lead alloy thick shielding shell 104, a CCD imaging sensor 105, and a ceramic buffer layer 106. The composite aspherical optical group 102 is disposed inside the detection lens, the Ce-doped SiO2 radiation-hardened glass front window 101 is disposed at one end of the detection lens, the ceramic buffer layer 106 is disposed at the other end of the detection lens, the CCD imaging sensor 105 is disposed on one side of the ceramic buffer layer 106, the first lead alloy thin shielding shell 103 is disposed on the outer wall of the detection lens, and the second lead alloy thick shielding shell 104 is disposed on the outside of the first lead alloy thin shielding shell 103.

[0237] According to an embodiment of the present invention, the imaging path of an optical system is established based on geometric optics formulas, as follows:

[0238] Let the incident point light source be P. s The imaging point is P i It passes through n lenses, with lens parameters {R} k ,d k ,n k} represent the radius of curvature, thickness, and refractive index of the k-th lens, respectively;

[0239] The path of light refraction is derived according to Snell's law:

[0240] n k sinθ k =n k+1 sinθ k+1

[0241] The overall optical transfer function H(ω) of the lens system is the product of the Fourier optical transforms of the lenses in series:

[0242]

[0243] in:

[0244]

[0245] ω is the spatial frequency variable, and λ is the center wavelength.

[0246] According to an embodiment of the present invention, high-purity SiO2 is selected as the substrate material, CeO2 as the radiation inhibitor, and Na2O and CaO as tempering fluxing components. Ce-doped glass is prepared by melting and annealing based on a melt-annealing process, as follows:

[0247] The ingredient ratio is designed as follows:

[0248]

[0249] Set the heating rate Target temperature T m =1000-1550℃, keep warm for 1-2 hours;

[0250] Once the target temperature is reached, annealing is performed by cooling to 600-650℃ and holding at that temperature for 3-4 hours. Slow cooling is then carried out to reduce stress and allow Ce to form inside the glass. 3+ It stabilizes the complexation center and effectively passivates irradiation-induced color centers.

[0251] Specifically, the spectral transmittance modeling of radiation-hardened glass is as follows:

[0252] This invention uses Ce-doped SiO2-based glass as the main lens material, denoted as material. In a high-energy radiation field, the light transmittance of a material changes over time, and its degradation behavior can be modeled as follows:

[0253] T(λ,D)=T0(λ)·exp(-α(λ)·D)

[0254] in:

[0255] T(λ,D) represents the transmittance at a dose D when the wavelength is λ;

[0256] T0(λ) is the initial transmittance before irradiation;

[0257] α(λ) is the radiation attenuation coefficient of the material at wavelength λ, with units of kGy. -1 ;

[0258] D represents the cumulative radiation dose, measured in kGy.

[0259] Experimentally determined α(λ) can be obtained through nonlinear regression fitting. Taking the visible light center wavelength λ = 550 nm as an example, the fitting results show:

[0260] α(550nm)≈4.6×10 -4 kGy -1

[0261] At D = 10 kGy, the transmittance degrades to:

[0262] T(550,10)=T0(550)·exp(-4.6×10 -4 ·10)=T0(550)·e -0.0046

[0263] ≈T0(550)·0.9954

[0264] This shows that the light transmittance decreased by less than 0.5%, far lower than the 20% degradation rate of traditional glass materials, verifying the effective suppression mechanism of Ce doping on color centers.

[0265] According to an embodiment of the present invention, the radiation hardening simulation verification method is as follows:

[0266] Introducing the radiation-induced color center density function ρ cf (D) The radiation-induced color center density function exhibits a nonlinear passivation relationship with Ce concentration as follows:

[0267]

[0268] Where: ρ0 is the maximum color center density; C Ce Where is the molar concentration of CeO2; K is the passivation half-saturation constant; β is the radiation sensitivity coefficient;

[0269] The radiation hardening was simulated and verified based on the nonlinear passivation relationship between the radiation-induced color center density function and Ce concentration, and the simulation results were obtained.

[0270] According to an embodiment of the present invention, the shielding structure consists of two layers of lead alloy, with the thickness optimized for electrons and gamma rays respectively; the penetration probability P(E) is analyzed based on energy attenuation information, and the expression for the penetration probability P(E) is as follows:

[0271]

[0272] in:

[0273] μ i (E) represents the linear attenuation coefficient of the i-th layer material for particles with energy E;

[0274] d iLet be the thickness of the i-th layer.

[0275] The relationship between shielding efficiency η and material thickness is as follows:

[0276] η(d)=1-P(E)=1-exp(-∑μ i (E)·d i )

[0277] The shielding efficiency is analyzed based on the penetration probability, and the thickness of the layered composite lead alloy shielding structure is adjusted accordingly.

[0278] Specifically, simulation data shows that when d1 = 3 mm and d2 = 5 mm, the shielding efficiency can reach 93% for E = 1.25 MeV γ rays.

[0279] Optimized proportioning and thermal expansion control of lead alloys:

[0280] The lead alloy composition adopts a Pb-Sb-Bi ternary system, where Sb is mainly used to improve structural strength, and Bi helps to reduce the coefficient of thermal expansion.

[0281]

[0282] The coefficient of linear expansion of lead alloys is α = 28 × 10⁻⁶. -6 K -1 , combined with the α of glass g =0.5×10 -6 K -1 A buffer ceramic layer needs to be designed to eliminate thermal stress.

[0283] The ceramic layer is made of zirconium oxide (ZrO2), which has a coefficient of thermal expansion of approximately 10.3 × 10⁻⁶. -6 K -1 The matching effect is good.

[0284] It should be noted that the modeling of the suppression of the scattered field by the shielding structure is as follows:

[0285] The background radiation in the high-energy environment in which the lens is located can be described by the scattering function B(θ,E), where θ is the incident angle and E is the particle energy. The background noise N introduced by scattering... b It can be represented as:

[0286]

[0287] Where S(θ,E) represents the incident flux in the unshielded state. The lead alloy shielding layer has a thickness of d, and according to the exponential decay law, its attenuation factor is:

[0288] A(d,E)=exp(-μ(E)·d)

[0289] Where μ(E) is the linear attenuation coefficient, in cm.-1 After adding a shielding layer, the background noise becomes:

[0290]

[0291] Define the noise suppression factor η as:

[0292]

[0293] Therefore, we can calculate that μ≈1.2cm at d=1cm and E=0.5MeV. -1 ,but:

[0294]

[0295] That is, background noise was suppressed by nearly 70%.

[0296] According to an embodiment of the present invention, the optical-thermal-radiation coupling system model is as follows:

[0297] Set the optical transmittance T and the background noise N. b The signal-to-noise ratio (SNR) of a lens is defined as:

[0298]

[0299] Where P signal It represents the effective signal light intensity per unit time.

[0300] It should be noted that, with Ce 3+ Based on the ion-doped SiO2 glass system, the light transmittance stability of the material under high-dose irradiation is significantly improved by constructing a radiation-induced color center absorption model and an energy level transfer suppression mechanism.

[0301] in:

[0302] T(λ,D)=T0(λ)·exp(-α(λ)·D)

[0303] And α(λ) is proportional to the density of color centers, which can be expressed as:

[0304]

[0305] It can be seen that by increasing C Ce It can effectively reduce ρ cf (D), thereby reducing the radiation attenuation factor α(λ) and thus improving the ability to maintain transmittance.

[0306] According to embodiments of the present invention, the system integration and optical-thermal-irradiation triple coupling reliability testing are also included:

[0307] (1) Mechanical assembly process:

[0308] The lens employs a coaxial cylindrical shell structure, utilizing threaded locking and thermal expansion / contraction assembly methods to ensure sealing. Key component pressure stress modeling:

[0309]

[0310] Where p(r) ′ ) is the local pressure distribution function for press fitting, and its maximum stress is controlled to be less than the glass fracture stress limit σ. c =45MPa.

[0311] (2) Thermal stability test procedure:

[0312] The packaging system was verified to be free of cracks and light leakage after 100 cycles of thermal cycling (-60℃ to 85℃). The optical alignment error ΔL caused by thermal expansion satisfies:

[0313] ΔL=L0·α eff ·ΔT<10μm

[0314] (3) Radiation aging test method:

[0315] A Co-60 source was used to simulate a gamma radiation field, with a dose rate set at 1 kGy / h and a cumulative irradiation dose of 10 kGy. Tests were conducted separately:

[0316] Changes in spectral transmittance;

[0317] Aberration variations (using the MTF function);

[0318] Changes in imaging SNR.

[0319] The measured results all met the theoretical expectations, with a light transmittance decrease of <5% and an SNR retention rate of >90%.

[0320] According to embodiments of the present invention, the method further includes the construction of a layered composite lead alloy shielding structure and the optimization design of its energy spectrum:

[0321] Traditional shielding structures often use a single layer of thick lead, which not only incurs a large mass burden but also has poor adaptability to different particle types and energies. To overcome this limitation, this invention introduces the energy spectrum attenuation response function A(E) as the shielding optimization objective:

[0322]

[0323] Where μ i (E) is the linear decay coefficient of the composite material at energy E.

[0324] Optimize thickness combinations by back-engineering simulation and experimental data. To maximize the overall noise suppression rate, we obtain:

[0325]

[0326] Using a hybrid optimization method combining genetic algorithm and particle swarm optimization, the appropriate result is obtained:

[0327]

[0328] Background gamma noise suppression ratio exceeds 93%, higher than the 87% of traditional thick single-layer structures, and reduces total weight by approximately 12%.

[0329] To eliminate the thermal expansion mismatch between lead alloys and optical glass, this invention adds a layer of ZrO2 buffer ceramic, whose coefficient of thermal expansion is close to that of Ce-SiO2 glass, effectively reducing the thermal stress gradient at the contact interface.

[0330] The stress relief factor is defined as:

[0331]

[0332] Substituting the data, we get:

[0333]

[0334] The stress decreased by 35.6%, significantly improving reliability under thermal cycling.

[0335] According to embodiments of the present invention, the comprehensive SNR maintenance rate is also included as an indicator of system-level performance stability, as shown in the following formula:

[0336]

[0337] A complete response surface is established by combining time, temperature, and radiation dose:

[0338]

[0339] in:

[0340] δ1, δ2, and δ3 are the radiation, aging, and thermal influence coefficients, respectively.

[0341] The coefficients were obtained through multiple sets of fitting experiments. For the Ce-SiO2 system, the measured value was δ1≈4.6×10⁻⁶. -4 kGy -1 δ2≈1.2×10 -5 h -1 δ3≈2.1×10 -3 K -1 .

[0342] According to an embodiment of the present invention, a model of the overall system quality function is constructed as follows:

[0343] This invention proposes a quality optimization function:

[0344]

[0345] The objective optimization problem is:

[0346]

[0347] Under the constraint of achieving a shielding efficiency greater than 92%, the optimal thickness combination is obtained, such that M total It weighs approximately 1.43 kg, a 15.2% reduction compared to traditional lenses.

[0348] Track-adaptive thermally modulated reflective film integration:

[0349] To address the issue of drastic temperature differences during day and night cycles in space, a heat-reflective coating is integrated into the surface of the outer lens barrel. This coating employs a TiN / Au multilayer structure with a reflectivity of up to 95%, which can significantly reduce focal length drift caused by thermal expansion and contraction.

[0350] A third aspect of the present invention provides a computer-readable storage medium including a design method program for a radiation-resistant high-energy particle detection lens. When the design method program for a radiation-resistant high-energy particle detection lens is executed by a processor, it implements the steps of the design method for a radiation-resistant high-energy particle detection lens as described in any of the above claims.

[0351] This invention discloses a design method, system, and medium for a radiation-resistant high-energy particle detection lens. The method involves modeling the optical imaging path based on a composite aspherical lens structure to obtain the optical lens; setting processing parameters based on a Ce-doped glass melting method; subjecting the optical lens to radiation hardening based on these parameters; verifying the processing results through radiation hardening simulation; dynamically adjusting the processing parameters based on the simulation results to obtain a radiation-hardened optical imaging system; constructing a layered composite lead alloy shielding structure; analyzing the energy attenuation information of the radiation-hardened optical imaging system; adjusting the thickness of the layered composite lead alloy shielding structure based on the energy attenuation information to obtain the overall optical imaging system; constructing a light-heat-radiation coupling system model; conducting reliability tests on the overall optical imaging system; obtaining performance test results; evaluating the overall optical imaging system based on the performance test results; and predicting its lifetime range. The shielding structure reduces scattering background noise, thereby ensuring image clarity and structural stability in high-energy detection missions.

[0352] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0353] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0354] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0355] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0356] Alternatively, if the integrated units of the present invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

Claims

1. A design method for a radiation-resistant high-energy particle detection lens, characterized in that, include: The optical imaging path is modeled based on the composite aspherical lens structure to obtain the optical lens. Processing parameters were set based on the Ce-doped glass melting preparation method, and the optical lens was subjected to radiation hardening treatment based on the processing parameters to obtain the processing result; The processing results were verified by radiation hardening simulation. Based on the simulation verification results, the processing parameters were dynamically adjusted to obtain the radiation hardening optical imaging system. A layered composite lead alloy shielding structure was constructed, and the energy attenuation information of the radiation-hardened optical imaging system was analyzed. Based on the energy attenuation information, the thickness of the layered composite lead alloy shielding structure was adjusted to obtain the overall optical imaging system. A light-heat-radiation coupled system model is constructed, and the overall optical imaging system is subjected to reliability testing to obtain performance test results. Based on the performance test results, the overall optical imaging system is evaluated and its lifespan is predicted.

2. The design method of the radiation-resistant high-energy particle detection lens according to claim 1, characterized in that, The imaging path of an optical system is established based on geometric optics formulas, as follows: Let the incident point light source be P. s The imaging point is P i It passes through n lenses, with lens parameters {R} k ,d k ,n k } represent the radius of curvature, thickness, and refractive index of the k-th lens, respectively; The path of light refraction is derived according to Snell's law: n k sinθ k =n k+1 sinθ k+1 sinθ k and sinθ k+1 These represent the sine values ​​of the incident angle or the refraction angle at the k-th lens and the (k+1)-th lens, respectively. n k n k+1 The refractive indices of the k-th and k+1-th lenses or media, respectively; The overall optical transfer function H(ω) of the lens system is the product of the Fourier optical transforms of the lenses in series: in: This represents the expression for the optical transfer function of the k-th lens in the frequency domain. j represents the imaginary unit, used to construct the complex form of the transfer function, reflecting the phase delay and attenuation of the light wave; ω is the spatial frequency variable, and λ is the center wavelength. Where n=3, a combination of double convex-flat concave-flat convex is used to control field curvature and color difference.

3. The design method of the radiation-resistant high-energy particle detection lens according to claim 2, characterized in that, High-purity SiO2 was selected as the substrate material, CeO2 as the radiation inhibitor, and Na2O and CaO as tempering fluxing components. Ce-doped glass was prepared by melting and annealing using the following method: The ingredient ratio is designed as follows: Set the heating rate Target temperature T m =1000-1550℃, keep warm for 1-2 hours; Once the target temperature is reached, annealing is performed by cooling to 600-650℃ and holding at that temperature for 3-4 hours. Slow cooling is then carried out to reduce stress and allow Ce to form inside the glass. 3+ It stabilizes the complexation center and effectively passivates irradiation-induced color centers.

4. The design method of the radiation-resistant high-energy particle detection lens according to claim 3, characterized in that, The simulation verification method for radiation hardening is as follows: Introducing the radiation-induced color center density function ρ cf (D) The radiation-induced color center density function exhibits a nonlinear passivation relationship with Ce concentration as follows: Where: ρ0 is the maximum color center density; C Ce Where is the molar concentration of CeO2; K is the passivation half-saturation constant; β is the radiation sensitivity coefficient; The radiation hardening was simulated and verified based on the nonlinear passivation relationship between the radiation-induced color center density function and Ce concentration, and the simulation results were obtained.

5. The design method of the radiation-resistant high-energy particle detection lens according to claim 4, characterized in that, The shielding structure consists of two layers of lead alloy, with optimized thicknesses for electrons and gamma rays, respectively. The penetration probability P(E) is analyzed based on energy attenuation information, and its expression is as follows: in: μ i (E) represents the linear attenuation coefficient of the i-th layer material for particles with energy E; d i Let be the thickness of the i-th layer. The relationship between shielding efficiency η and material thickness is as follows: η(d)=1-P(E)=1-exp(-∑μ i (E)·d i ) The shielding efficiency is analyzed based on the penetration probability, and the thickness of the layered composite lead alloy shielding structure is adjusted accordingly.

6. The design method of the radiation-resistant high-energy particle detection lens according to claim 5, characterized in that, The optical-thermal-radiation coupled system model is as follows: Set the optical transmittance T and the background noise N. b The signal-to-noise ratio (SNR) of a lens is defined as: Where D represents the cumulative radiation dose, N′ b This indicates the background noise after shielding. P signal It represents the effective signal light intensity per unit time.

7. A design system for a radiation-resistant high-energy particle detection lens, characterized in that, The system includes a memory and a processor. The memory contains a program for designing a radiation-resistant high-energy particle detection lens. When the program for designing the radiation-resistant high-energy particle detection lens is executed by the processor, it performs the following steps: The optical imaging path is modeled based on the composite aspherical lens structure to obtain the optical lens. Processing parameters were set based on the Ce-doped glass melting preparation method, and the optical lens was subjected to radiation hardening treatment based on the processing parameters to obtain the processing result; The processing results were verified by radiation hardening simulation. Based on the simulation verification results, the processing parameters were dynamically adjusted to obtain the radiation hardening optical imaging system. A layered composite lead alloy shielding structure was constructed, and the energy attenuation information of the radiation-hardened optical imaging system was analyzed. Based on the energy attenuation information, the thickness of the layered composite lead alloy shielding structure was adjusted to obtain the overall optical imaging system. A light-heat-radiation coupled system model is constructed, and the overall optical imaging system is subjected to reliability testing to obtain performance test results. Based on the performance test results, the overall optical imaging system is evaluated and its lifespan is predicted.

8. The design system for a radiation-resistant high-energy particle detection lens according to claim 7, characterized in that, The imaging path of an optical system is established based on geometric optics formulas, as follows: Let the incident point light source be P. s The imaging point is P i It passes through n lenses, with lens parameters {R} k ,d k ,n k } represent the radius of curvature, thickness, and refractive index of the k-th lens, respectively; The path of light refraction is derived according to Snell's law: n k sinθ k =n k+1 sinθ k+1 sinθ k and sinθ k+1 These represent the sine values ​​of the incident angle or the refraction angle at the k-th lens and the (k+1)-th lens, respectively. n k n k+1 The refractive indices of the k-th and k+1-th lenses or media, respectively; The overall optical transfer function H(ω) of the lens system is the product of the Fourier optical transforms of the lenses in series: in: This represents the expression for the optical transfer function of the k-th lens in the frequency domain. j represents the imaginary unit, used to construct the complex form of the transfer function, reflecting the phase delay and attenuation of the light wave; ω is the spatial frequency variable, and λ is the center wavelength.

9. The design system for a radiation-resistant high-energy particle detection lens according to claim 8, characterized in that, High-purity SiO2 was selected as the substrate material, CeO2 as the radiation inhibitor, and Na2O and CaO as tempering fluxing components. Ce-doped glass was prepared by melting and annealing using the following method: The ingredient ratio is designed as follows: Set the heating rate Target temperature T m =1000-1550℃, keep warm for 1-2 hours; Once the target temperature is reached, annealing is performed by cooling to 600-650℃ and holding at that temperature for 3-4 hours. Slow cooling is then carried out to reduce stress and allow Ce to form inside the glass. 3+ It stabilizes the complexation center and effectively passivates irradiation-induced color centers.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a design method program for a radiation-resistant high-energy particle detection lens. When the design method program for a radiation-resistant high-energy particle detection lens is executed by a processor, it implements the steps of the design method for a radiation-resistant high-energy particle detection lens as described in any one of claims 1 to 6.

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