分类： 物理学 >> 核物理学 提交时间： 2025-06-25
Xiang, Dr. Jiabing
Wang, Mr. Yanxin
Yang, Mr. Yuhang
Zhao, Prof. Wei
Li, Dr. Baolei
Sun, Dr. Bao-Hua
摘要： In this paper, we propose a novel design for a stationary CT system, termed the Alternating Source-Detector Array stationary CT (ASDA-sCT). The ASDA-sCT system comprises an array of miniature carbon nanotube X-ray sources and a detector array strategically positioned in the gaps between sources. To minimize projection loss caused by ray path obstruction, the X-ray sources are distributed within a short-scan trajectory that takes advantage of the fan-beam symmetry. After interpolation-based restoration of the discontinuities, CT images can be directly reconstructed using the filtered backprojection (FBP) algorithm with Parker’s weighting function. We further investigate the influence of the number of X-ray sources on the reconstruction quality of the ASDA-sCT system and determine the optimal source number for different X-ray exit window sizes. However, the limited number of sources and the interpolation errors introduced during sinogram restoration remain critical barriers to achieving high-quality image reconstruction. To tackle these issues, we propose a tailored triple-stage dual-domain cascade neural network (TSDDC-Net), which incorporates prior knowledge to correct interpolation errors in the sinogram and compensate for the missing projection views. In the projection domain, we introduce a novel multi-scale deformable convolution module (DFInception) that enhances feature extraction and improves the accuracy of sinogram refinement. In the image domain, a dual-encoder architecture is employed to independently extract features from the initial CT image reconstructed from raw interpolated projections and from the refined CT image reconstructed using the corrected sinogram. Ultimately, the well-designed deep learning model significantly enhances the quality of the reconstructed images. Experiments conducted on the Shepp-Logan phantom and abdominal CT datasets demonstrate the promising potential of the ASDA-sCT system for practical applications.
分类： 核科学技术 >> 核科学与技术 提交时间： 2025-06-25
摘要： 针对核反应堆多物理场耦合建模中存在的实时性差与计算效率低等问题，本研究运用基于潜在空间神经算子（Latent-DeepONet）的温度场时序预测方法。通过构建"编码-算子学习-解码"的轻量化架构，将23万 – 180万维温度场数据压缩至100维潜在空间，利用改进后的深度算子网络（DeepONet）学习潜在空间的动态演化规律，并结合物理约束解码器实现高精度重构。基于计算流体力学软件OpenFOAM生成的核热耦合基准数据集验证表明：在40秒迭代预测中，燃料区温度场平均相对误差低于1%，冷却剂温度场误差低于0.5%；在100秒长步长预测中，最大相对误差控制在0.5%以内。迭代预测模型单次预测耗时小于200s，较传统CFD方法加速500倍以上；长步长预测单次耗时79.23s，小于预测步长，满足实时预测需求。本研究为核反应堆瞬态工况仿真与安全控制提供了轻量化数字孪生解决方案。
分类： 物理学 >> 核物理学 提交时间： 2025-06-25
摘要： Automatic identification of radioactive isotopes through energy spectrum analysis is vital for remote, unmanned monitoring of radioactive contamination and rapid early warning. In recent years, deep learning methods have advanced significantly, outperforming traditional approaches in recognition accuracy. However, their purely data-driven nature and the "black-box" characteristics of neural networks result in poor interpretability, a high risk of overfitting, and uncontrollable errors, limiting their use in high-reliability fields like the nuclear industry. We present FhyMetric-Net, a novel multi-label classification model that integrates physical constraints with data-driven techniques. This model automatically infers the probability of mixed nuclides and provides weight interpretations consistent with expert knowledge. Our approach is groundbreaking in embedding prior characteristic peak physical information into neural networks, effectively constraining the feature weight optimization space for improved reliability and interpretability. We also introduce a novel metric constraint method in the feature space, tailored for mixed nuclide samples, which enhances the model’s ability to extract discriminative features. By establishing a clear causal link between predicted probabilities and channel addresses, FhyMetric-Net overcomes the interpretability challenges of traditional dense fully connected layers. We conducted more challenging quantitative tests than previous studies. When faced with challenges such as an increased number of mixed radionuclides, variations in Gaussian broadening coefficients, and differences in detector types, the proposed model consistently maintained an F1 score above 95%, achieving state-of-the-art (SOTA) performance, while the model's parameter count was only 1.58% of the ResNet-18 model. In scenarios with low gross count and low signal-to-noise ratio (SNR), its overall performance also demonstrated significant advantages. Qualitative analysis further confirmed the model's strong physical interpretability. This achievement will advance the application of automated mixed radionuclide identification technology in high-reliability fields of the nuclear industry.
分类： 核科学技术 >> 核科学与技术 提交时间： 2025-06-25
摘要： 为评估气冷微堆石墨堆芯结构安全，获取堆芯石墨组件在地震激励下的应力状况。研究通过对比小尺寸石墨块碰撞试验和仿真模拟的加速度、速度曲线，发现仿真结果可以反映石墨块碰撞规律，并可根据加速度及速度曲线进行识别获取其碰撞刚度及阻尼参数；根据试验获得的刚度和阻尼关键参数，开展堆芯石墨构件的仿真，将其应用到堆芯抗震分析计算中。最终开展了全堆芯模型计算模拟，并获得石墨构件之间的作用力，采用失效概率法对结构进行了评价，结果表明，石墨堆芯在地震载荷作用下满足ASME设计规范要求。
分类： 物理学 >> 核物理学 提交时间： 2025-06-24
Wang, Mr. Haochen
Zhang, Mr. Zhao
Yu, Dr. Pei
Bao, Miss Yuxin
Zhai, Prof. Jiajia
Xu, Dr. Yu
Deng, Dr. Li
Xiao, Dr. Sa
Zhang, Dr. Xueheng
Yu, Dr. Yuhong
He, Dr. Weibo
Chen, Dr. Liangwen
Zhang, Prof. Yu
Yang, Prof. Lei 杨磊
Sun, Prof. Zhiyu 孙志宇
摘要： Cosmic-ray muon sources exhibit distinct scattering angle distributions when interacting with materials of different atomic numbers (Z values), facilitating the identification of various Z-class materials, particularly those radioactive high-Z nuclear elements. Most of the traditional identification methods are based on complex muon event reconstruction and trajectory fitting processes. Supervised machine learning methods offer some improvement but rely heavily on prior knowledge of target materials, significantly limiting their practical applicability in detecting concealed materials. For the first time, transfer learning is introduced into the field of muon tomography in this work. We propose two lightweight neural network models for fine-tuning and adversarial transfer learning, utilizing muon tomography data of bare materials to predict the Z-class of coated materials. By employing the inverse cumulative distribution function method, more accurate scattering angle distributions could be obtained from limited data, leading to an improvement by nearly 4% in prediction accuracy compared with the traditional random sampling based training. When applied to coated materials with limited labeled or even unlabeled muon tomography data, the proposed method achieves an overall prediction accuracy exceeding 96%, with high-Z materials reaching nearly 99%. Simulation results indicate that transfer learning improves prediction accuracy by approximately 10% compared to direct prediction without transfer. This study demonstrates the effectiveness of transfer learning in overcoming the physical challenges associated with limited labeled/unlabeled data, highlights the promising potential of transfer learning in the field of muon tomography.
分类： 物理学 >> 核物理学 提交时间： 2025-06-24
摘要： Cancer is the second leading cause of mortality globally. As a critical technological approach in oncology treatment, radiation therapy includes conventional dose rate radiation therapy, high dose rate radiotherapy and ultra-high dose rate radiation therapy (FLASH-RT). With the significant escalation in radiotherapy dose rates, real-time dosimetry monitoring faces the dual challenges of enhancing both response time and measurement precision. This work successfully developed a real-time dosimetry monitoring system for radiotherapy, designed to accommodate a broad range of dose rates. The system consists of a dual-gated integrator architecture front-end circuit and a high-speed data acquisition circuit, providing accurate detection of bipolar current pulse signals spanning from -190 µA to +200 µA, the minimum current measurement range is from -1 pA to 1 pA. Two significant technological advancements were accomplished: (1) The elimination of signal processing dead time resulted in a reduction of the single-event readout time to 5 µs; (2)The nonlinear error from -190 µA up to the maximum current is within 0.67%, with a linear correlation coefficient (R2)of 0.99992. The experiments were conducted using an ionization chamber detector at the Heavy Ion Research Facility in Lanzhou (HIRFL-TR4), this system, combined with a dose detector, achieves real-time dose measurement within the dose rate range of 65 Gy/min to 120 Gy/min. It demonstrates excellent real-time monitoring performance in the high-dose rate range of radiation therapy and shows potential for further application in dose monitoring for electron and proton beam radiotherapy.
分类： 心理学 >> 认知心理学 提交时间： 2025-06-24
摘要： 脑机接口（Brain-ComputerInterface,BCI）是一种通过采集、解码和反馈神经信号，构建大脑与外部设备直接通信通道的交互技术，为理解和扩展心智潜能开辟了全新的路径。本研究探索了BCI技术在认知增强和心理治疗领域的理论基础与临床应用，构建了长期使用BCI对心理适应性的伦理分析模型，提出了“技术依赖风险指数”（TDRI）以量化技术依赖对个体心理自主性的潜在影响；结合人工智能（AI）和虚拟现实（VR）技术等前沿技术，为复杂心理过程的干预提供了可能的创新解决方案。未来研究需进一步提升BCI应用“人性化”体验，深入探讨技术依赖对心理自主性和情绪调节的长期影响，并利用注意、记忆等认知心理理论和神经可塑性理论指导BCI解码特征选择和神经反馈设计，构建更灵活、个性化的心理学干预范式。
分类： 核科学技术 >> 核科学与技术 提交时间： 2025-06-24
摘要： We studied the energy partition between two well-separated fission fragments associated with the partition of nucleons owing to quantum entanglement. This is different from most fission models that invoke an explicit statistical partition of excitation energies. The dynamical fission evolution is described within the timedependent Hartree-Fock+BCS framework. Excitation energies of isotopic fission fragments were obtained using the particle-number projection method after the dynamical splitting of 238U. The resulting excitation energies of the light and heavy fragments are consistent with the appearance of sawtooth structures. We found that the pairing correlation strengths have a significant influence on the partition of the excitation energies. Furthermore, the excitation energies of isotopic fragments increase with increasing neutron number, implying the suppression of the production of neutron-rich beams in rare-isotope beam facilities.
分类： 物理学 >> 核物理学 提交时间： 2025-06-24
摘要： The presence of hydrogen will affect the formation of irradiation defects in reactor structural materials, which in turn will influence the degradation of their mechanical properties. A deeper understanding of the mechanisms behind irradiation effects in structural materials in the presence of hydrogen poses an important scientific challenge in the field of fusion and fission energy. Reduced-activation ferritic/martensitic (RAFM) steel, a potential structural material for fusion and fission reactors, was selected as the research material. Using positron annihilation Doppler broadening spectroscopy, it was characterized that a significant amount of hydrogen atoms in the H + irradiated RAFM steel are captured in vacancies, resulting in the formation of relatively stable vacancy-H complexes. Furthermore, the first-principles calculations revealed that this behavior of hydrogen atoms being captured at vacancies inhibits the recombination of vacancies and SIAs generated by cascade collisions, especially when the concentration of hydrogen is high, thereby promoting the formation of irradiation defects.
分类： 医学、药学 >> 临床医学 提交时间： 2025-06-24 合作期刊: 《中国全科医学》
摘要： 背景 急性ST段抬高型心肌梗死（STEMI）致死致残率高，经皮冠状动脉介入治疗（PCI）是其重要血运重建方式，能改善预后。但部分患者PCI术后心绞痛复发，影响生活质量与长期预后。药物代谢酶基因多态性影响药物疗效与不良反应，细胞色素P450 2C19（CYP2C19）参与多种药物代谢，其基因多态性可改变酶活性，影响药物代谢。在STEMI患者PCI术后用药中，CYP2C19不同代谢水平与心绞痛复发相关性值得探讨。目的 探讨CYP2C19基因不同代谢水平与STEMI患者PCI术后心绞痛复发相关性。方法 选取2022年内蒙古医科大学第一附属医院胸痛中心因急性冠脉闭塞行急诊PCI治疗患者128例为研究对象，收集患者病例资料和CYP2C19基因检测结果。于PCI术后1、3、6、12月分别对纳入患者进行电话或门诊随访，随访截至2023-12-31。终点事件为心绞痛发作。采用Lasso回归分析筛选心绞痛发作事件的相关变量，随后构建多因素Logistic回归分析构建预测模型并绘制列线图，采用Bootstrap进行模型内部验证。训练集及验证集模型分别通过受试者工作（ROC）曲线、拟合优度检验、校准曲线以及决策曲线分析（DCA）评估，构建老年STEMI患者PCI术后心绞痛复发风险预测模型。结果 共纳入患者128例，男92例（71.9%），女（27.1%），中位年龄63.5（61.0，66.0）岁。随访期间45例（35.2%）患者心绞痛复发，83例患者（74.8%）未出现心绞痛复发。无心绞痛复发患者与心绞痛复发患者性别、低密度脂蛋白胆固醇（LDL-C）、高密度脂蛋白胆固醇（HDL-C）、CYP2C19分型比较，差异有统计学意义（P<0.05）。Lasso回归分析共筛选出7个独立预测因子变量，包括性别、LDL-C、HDL-C、同型半胱氨酸（Hcy）、载脂蛋白B（ApoB）、D-二聚体及CYP2C19分型。多因素Logistic回归分析结果显示，性别（女）（OR=3.492 9，95%CI=-1.288 8~15.066 2）、LDL-C升高（OR=3.123 7，95%CI=1.685 9~6.348 4）、Hcy升高（OR=1.061 4，95%CI=1.028 8~1.103 6）为STMEI介入术后心绞痛复发的危险因素，HDL-C升高（OR=0.016 7，95%CI=0.000 9~0.209 1）、CYP2C19中间代谢型（OR=0.273 4，95%CI=0.074 7~0.923 7）、CYP2C19正常代谢型（OR=0.086 7，95%CI=0.025 5~0.256 1）为减少STMEI介入术后心绞痛复发的保护因素。利用Bootstrap重抽样法重复抽样1 000次对模型进行内部验证，Hosmer-Lemeshow校准曲线显示模型拟合度较好。绘制训练集和验证集的ROC曲线并计算ROC曲线下面积（AUC），在训练集和验证集中AUC分别为0.869（95%CI=0.796~0.943）和0.789（95%CI=0.701~0.877），表明预测模型在建模集和验证集人群均具有良好的区分度。进一步行DCA显示，模型具有较好的临床实用性。结论 CYP2C19中间代谢型与正常代谢型为减少STMEI介入术后心绞痛复发的保护因素。本研究建立了包含性别（女性）、LDL-C、Hcy、HDL-C以及CYP2C19共5项临床指标的心绞痛复发风险预测模型，可用于预测早期筛查可疑患者的心绞痛复发风险，模型具有良好的拟合度、区分度和临床应用价值。
分类： 核科学技术 >> 辐射物理与技术 提交时间： 2025-06-24
摘要： 应用改进的量子分子动力学模型（ImQMD）结合 GEMINI++ 统计衰变模型，研究了入射能量为 \SI{8.5}{MeV/u}的^{18}\text{O}+^{238}\text{U}体系的深度非弹性碰撞过程。通过分析反应产物的总动能-质量分布，明确指出类弹碎片主要来源于深度非弹性碰撞机制。本研究分别计算了碳（C）、氧（O）和氟（F）等类弹产物同位素的微分截面、出射角度及弹靶在碰撞过程中的接触时间。结果显示，丰中子类弹碎片的微分截面在出射角趋近零度时达到峰值。进一步分析发现，类弹产物的中子质子比（N/Z）越大，其对应的弹靶接触时间越长，出射角越小。其动力学机制可描述为：炮弹与靶核接触后形成带有颈部的双核体系，该体系绕质心旋转，旋转持续时间超过 \SI{200}{fm/c}，旋转角度约为90度。在此旋转接触期间，弹靶间发生大量核子转移。因靶核^{238}U向炮弹^{18}O转移反应道1p+2n、1p+3n和1p+4n的Q值均为正值，分别为4.212，3.492和5.805 MeV，这有利于此类反应的发生，致使^{21-23}F微分截面较大。计算结果与实验数据基本吻合，既验证了方法的有效性，又直观呈现反应动力学机制。该研究成果为新一代零度谱仪开展低能核物理实验、提取奇异核次级束流提供关键参考。
分类： 心理学 >> 应用心理学 提交时间： 2025-06-23
摘要： 为厘清亲密伴侣暴力(intimate partner violence,IPV)脱离的复杂路径及其内部机制，本研究对IPV脱离的多层级影响因素进行系统梳理，结合行为阶段转变理论模型的阶段划分与心理社会准备模型的动态连续框架提出IPV脱离的阶段-连续动态交互模型（Staged-Continuum DynamicInteraction Model,SCDIM）。SCDIM整合了阶段跃迁的触发机制以及风险/保护因素在阶段转换中的动态博弈，为理解IPV脱离的复杂机制提供了整合性理论框架，弥补了传统模型对多因素交互作用及阶段间非线性关系的解释局限。未来研究需对SCDIM的模型效度、适用范围进行验证，结合跨学科视角拓展其应用前景与实证研究方向。
分类： 其他 提交时间： 2025-06-23
摘要： 为满足反应堆压力容器（RPV）在役检查发现裂纹（役致裂纹）的快速评估需求，需进行役致裂纹验收标准制定方法研究并制定RPV役致裂纹的验收标准。本文分析了美国电力研究协会（EPRI）提出的役致裂纹验收标准制定原则和制定方法，以RPV设计阶段防断裂分析的假想裂纹为基准裂纹，结合役致裂纹验收标准制定的安全准则，提出了一种基于设计假想裂纹和设计安全系数的役致裂纹验收标准制定力学分析方法；应用本文提出的方法对RPV筒体制定的役致裂纹验收标准与ASME给出的验收标准基本接近。本文提出的役致裂纹验收标准制定力学分析方法也适用于其它核电承压设备。
分类： 核科学技术 >> 核科学技术其他学科 提交时间： 2025-06-22
摘要： 国家蛋白质科学研究上海设施（NFPS）BL17B线站，是位于上海同步辐射光源（SSRF）的一条弯铁光源线站。该线站最初设计用于衍射实验，支持单晶衍射、粉末衍射和掠入射广角X射线散射（GIWAXS）等技术，能够表征长程有序的原子结构，其研究领域涵盖生物学、环境、能源和材料科学。而这些领域中也存在着对短程有序结构表征的强烈需求。为了满足这些需求，BL17B建立了先进的X射线吸收精细结构（XAFS）实验平台，使BL17B能够适用于从晶体到非晶态、从长程有序到短程有序的各种结构体系。该XAFS平台已实现5-23keV能量范围内，透射模式、荧光模式XAFAS数据的同时采集，覆盖了钛到钌元素的K边和铯到铋元素的L3边XAFS测试。基于大容量样品轮远程更换样品，该平台开发了自动化样品评估和自动数据采集的功能，显著提高了自动化水平。高度集成的控制系统简化了实验准备和数据采集过程，提升了实验效率并增强了用户体验。此外，该平台可达到极低的检测浓度下限。对于低浓度的铜酞菁（CuPc）样品，扩展X射线吸收精细结构（EXAFS）的检测下限低至0.04 wt%，X射线吸收近边结构（XANES）的检测下限进一步降低至0.01 wt%。这些数据充分验证了该XAFS实验平台在获取高精度XAFS实验数据方面的卓越性能。
分类： 心理学 >> 认知心理学 提交时间： 2025-06-22
摘要： 呈现同一人的多张面孔图像能够显著提升被试对面孔身份的识别绩效。然而，对于多图 像提高面孔识别绩效背后的认知机制，目前尚不清楚。本研究包括两个实验。实验1A通过 面孔匹配范式，同时呈现或继时呈现一张、两张或三张面孔，测量被试在不同条件下的辨别 力。结果发现：（1）仅在继时呈现条件下，被试的辨别力随着图像数量的增多而提高(出现 多图像优势)；（2）呈现三张面孔图像时，被试在继时呈现条件下的辨别力高于在同时匹配 条件下的辨别力。实验1B控制面孔呈现时间，重复了上述结果。实验2在实验1A的基础 上将面孔倒置以破坏面孔表征的整合过程，结果发现，（3）无论学习图像为单张还是多张， 被试在继时呈现条件下的辨别力都低于在同时呈现条件下的辨别力，（4）两种任务都没有 发现多图像优势。综上，实验结果提示面孔身份辨别中的多图像优势是源于面孔表征的形成 且该过程须依赖记忆的参与。
分类： 心理学 >> 人格心理学 提交时间： 2025-06-22
摘要： 感动是一种由外部刺激引发的非自主性、即时产生的情绪状态。感动产生后具有社会联结效应，不仅能够增强个体与直接触发者之间的联结，还具有更广泛的扩展效应，使个体的社会联结倾向超越具体的情境。共享关系强化理论和意义凸显性理论分别从感动联结效应的自动化与认知建构过程进行解释：前者强调感动源于进化适应性机制，通过激活共有共享关系促进社会联结；后者认为感动引发个体对核心价值的认同，促使其主动寻求社会联结。本文在梳理感动直接联结与扩展联结表现的基础上，分析了上述两种心理机制的异同与交织特性，并指出未来研究可从感动联结效应的扩展边界、理论机制的区分与整合、以及个体差异的调节作用等方向，进一步深化对感动社会功能的理解与应用。
分类： 化学 >> 核化学 提交时间： 2025-06-22
摘要： 为了更准确地帮助医生诊断肝脏疾病和制定手术方案，对 CT 图像进行准确、稳定的自动肝区分割是一个亟待解决的问题。然而，医学图像不可避免地会产生噪声和伪影，分割算法很容易受到这些信息的影响。针对这一问题，本文提出了 MCAF-Net，将 MCCA 嵌入瓶颈层，通过多特征互补生成丰富完整的特征表示，减少信息丢失，并通过特征交互减轻噪声和伪影的影响。此外，为了更准确地识别肝脏边缘，编码器和解码器端通过 AMFM 连接，增强了对上下文和多尺度信息的感知，从而实现了肝脏边缘的精细分割。在LiTS2017和含噪声的LDCT数据集上的实验结果表明，MCAF-Net在减轻噪声和伪影的影响以及肝脏边缘的识别方面优于其他主流算法，其中DSC和Jarracd在LiTS2017数据集上的识别率分别达到96.24%和92.83%，在LDCT数据集上的结果表明MCAF-Net具有一定的鲁棒性和抗噪声性能。
分类： 物理学 >> 核物理学 提交时间： 2025-06-22
CHEN, Dr. Zhen Hua
Zou, Prof. Ying
Li, Dr. Junqin
Zhu, Dr. Fangyuan
Cheng, Dr. Yiwei
Huang, Prof. Yaobo
Wang, Prof. Yong
Tai, Prof. Renzhong
摘要： The ultrahigh-energy-resolution soft X-ray beamline, "Dreamline," at the Shanghai Synchrotron Radiation Facility (SSRF), has been successfully constructed and is now fully operational for conducting angle-resolved photoemission spectroscopy (ARPES) and photoelectron emission microscopy (PEEM) experiments. Both branches of the beamline utilize a sophisticated plane-grating monochromator equipped with four variable- line-spacing gratings, enabling it to span an energy range of 20–2000 eV. The beam spot size at the ARPES endstation is H:60μm×V:30μm, while the vertical size is a crucial factor in determining the energy resolution of the beam, which is influenced by the exit slit. Notably, the energy resolution at the ARPES sample positions has been measured to be an 17.2 meV at 867.1 eV, setting a new benchmark for the highest resolution capability within this energy range among similar international facilities. Furthermore, under the 4σ opening of the white light slit, the full energy range flux of double undulator exceeds 1012 photons per second per 0.01% bandwidth (phs/s/0.01%BW) below 800 eV when selecting the appropriate grating, while the flux across the full energy range remains above 1011 phs/s/0.01%BW.
分类： 其他 提交时间： 2025-06-21
摘要： 为了评估航天员所受到的空间辐射影响，本研究通过计算注量-剂量转换系数与航天器内宇宙射线注量的乘积，估算了航天员的器官平均吸收剂量，并结合辐射品质因子Q计算得出剂量当量。研究中所使用的剂量转换系数来源于ICRP 118号出版物及123号出版物。航天器内宇宙射线注量则是通过Geant4对空间辐射粒子穿透航天器壁的过程进行模拟输运计算得到。研究结果表明：随着铝屏蔽厚度的增加，由地球辐射带粒子产生的剂量下降，而由银河宇宙线粒子引起的剂量则有所上升；在IVA期间，近地轨道航天员的87%辐射剂量来自于地球辐射带粒子，13%来自银河宇宙射线；有效剂量计算值较有效剂量当量高估约70%，NASA使用的有效剂量当量HNASA计算值较ICRP 60号出版物建议的HICRP60偏高近18%。上述研究结果充分验证了宇宙射线剂量转换系数在辐射剂量学中的适用性，并为航天员辐射防护策略的优化提供了科学依据。
分类： 物理学 >> 核物理学 提交时间： 2025-06-21
Yuting Wei
Changlin Lan
Bo Gao
Xianlin Yang
Gong Jiang
Jiahao Wang
Bo Xie
Yangbo Nie
Yanliang Chang
Ge Zhang
Fan Wu
Kuozhi Xu
Shilong Liu
Xichao Ruan
摘要： Benchmark experiments are indispensable for the development of neutron nuclear data evaluation libraries. Given the lack of domestic benchmarking of nuclear data in the fission energy region, this study developed a neutron leakage spectrum measurement system using a spherical sample based on the 252Cf spontaneous fission source. The EJ309 detector (for high-energy measurements) and CLYC detector (for low-energy measurements) were combined to measure the time-of-flight spectrum using the γ tagging method. To assess the performance of the system, the time-of-flight spectrum without a sample was measured first. The experimental spectra were consistent with those simulated using the Monte Carlo method and the standard 252Cf spectrum from ISO:8529-1. This demonstrates that the system can effectively measure the neutron events in the 0.15--8.0 MeV range. Then, a spherical polyethylene sample was used as the standard to verify the accuracy of the system for the benchmark experiment. The simulation results were obtained using the Monte Carlo method with evaluated data from the ENDF/B-VIII.0, CENDL-3.2, JEFF-3.3, and JENDL-5 libraries. The measured neutron leakage spectra were compared with the corresponding simulated results for the neutron spectrum shape and calculated C/E values. The results showed that the simulated spectra with different data libraries reproduced the experimental results well in the 0.15--8.0 MeV range. This study confirms that the leakage neutron spectrum measurement system based on the 252Cf source can perform benchmarking and provides a foundation for evaluating neutron nuclear data through benchmark experiments.
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