检索结果-内蒙古大学图书馆

Lithium and Beryllium Isotopes in the PAMELA Experiment

Bulletin of the Russian Academy of sciences: Physics 2023年第7期87卷 863-866页

作者： Bogomolov, E.A. Vasilyev, G.I. Menn, W. Adriani, O. Bazilevskaya, G.A. Barbarino, G.C. Bellotti, R. Boezio, M. Bonvicini, V. Bongi, M. Bottai, S. Bruno, A. Vacchi, A. Vannuccini, E. Voronov, S.A. Galper, A.M. De Santis, C. Di Felice, V. Zampa, G. Zampa, N. Casolino, M. Campana, D. Carlson, P. Castellini, G. Cafagna, F. Kvashnin, A.A. Kvashnin, A.N. Koldobskiy, S.A. Lagoida, I.A. Leonov, A.A. Mayorov, A.G. Malakhov, V.V. Martucci, M. Marcelli, L. Merge, M. Mikhailov, V.V. Mocchiutti, E. Monaco, A. Mori, N. Munini, R. Osteria, G. Panico, B. Papini, P. Picozza, P. Ricci, M. Ricciarini, S.B. Simon, M. Sparvoli, R. Spillantini, P. Stozhkov, Y.I. Yurkin, Y.T. Ioffe Institute Russian Academy of Sciences St. Petersburg194021 Russia University of Siegen Siegen57068 Germany Department of Physics University of Florence Florence50019 Italy Branch of Florence National Institute for Nuclear Physics Florence50019 Italy Lebedev Physical Institute Russian Academy of Sciences Moscow119991 Russia Department of Physics University of Naples "Federico II" Naples80126 Italy Branch of Naples National Institute for Nuclear Physics Naples80126 Italy Department of Physics University of Bari Bari70126 Italy Branch of Bari National Institute for Nuclear Physics Bari70126 Italy Moscow115409 Russia Branch of Trieste National Institute for Nuclear Physics Trieste34149 Italy Department of Mathematics and Informatics University of Udine Udine33100 Italy "Tor Vergata" Branch of Rome National Institute for Nuclear Physics Rome00133 Italy Department of Physics University of Rome Tor Vergata Rome00133 Italy Science Data Center Italian Space Agency Rome00133 Italy Department of Physics and the Oskar Klein Centre for Cosmoparticle Physics AlbaNova University Centre KTH Royal Institute of Technology Stockholm10691 Sweden Institute for Applied Physics Nello Carrara Florence50019 Italy Frascati National Laboratory National Institute for Nuclear Physics Frascati00044 Italy Department of Physics University of Trieste Trieste34147 Italy

Abstract: The isotopic composition of Li and Be nuclei in the 1–5 GV range of rigidities (nuclear energies of 0.1–1.5 GeV/nucleon) is analyzed using PAMELA flight data from 2006–2014 on the rigidity of detected nuclei and their velocities (time-of-flight analysis and ionization losses in the detector’s multilayer calorimeter). The new PAMELA data expand the range of energies in earlier measurements, are consistent with scarce results, and indicate correlated deviations of Li and Be isotope ratios from the GALPROP data for GCRs, which can be interpreted as evidence of contributions from several nearby local sources against the GCR background. Analysis of precision AMS-02 data on the spectra of positrons, antiprotons, and secondary nuclei of Li, Be, and B also indicates correlated increases in intensity at rigidities of ~50–1000 GV, which could also be due to local sources. The contribution from local sources against the GCR background is estimated at levels of tens of percents for rigidities of 1–5 GV and several percent at rigidities of 50–1000 GV. © 2023, Allerton Press, Inc.

关键词： Rigidity

来源：评论

学校读者我要写书评

暂无评论

Correction to:Production and test of sPHENIX W/SciFiber electromagnetic calorimeter blocks in China

引用

nuclear science and Techniques 2024年第11期35卷 138-138页

作者： Xiao-Zhou Yu Xi-Yang Wang Wei-Hu Ma Shi-Hong Fu Peng-Fei Sun Jin-Xing Song Wan-Bing He Yang Shen Long Ma Jin-Hui Chen Huan-Zhong Huang Si-Guang Wang Jing Zhou Xiao-Mei Li Institute of Modern Physics Fudan UniversityShanghai 200433China Key Laboratory of Nuclear Physics and Ion‑Beam Application(MOE) Fudan UniversityShanghai 200433China Science and Technology on Nuclear Data Laboratory China Institute of Atomic EnergyBeijing 102413China Department of Physics and Astronomy University of CaliforniaLos AngelesCA 90095USA State Key Laboratory of Nuclear Physics and Technology School of PhysicsPeking UniversityBeijing 100871China

Correction to:nuclear science and Techniques(2024)35:145 https://***/10.1007/s41365-024-01517-y In this article the author’s name Wan-Bing He was incorrectly written as Wan-Bin *** original article has been corrected.

关键词： blocks corrected calorimeter

来源：评论

学校读者我要写书评

暂无评论

Quantum Fluctuations Drive Angular Momenta in nuclear Fission

arXiv

引用

arXiv 2023年

作者： Zhou, M.H. Chen, S.Y. Li, Z.Y. Smith, M.S. Li, Z.P. School of Physical Science and Technology Southwest University Chongqing400715 China China Nuclear Data Center China Institute of Atomic Energy Beijing102413 China Physics Division Oak Ridge National Laboratory Oak RidgeTN37831-6354 United States

Quantum fluctuations are ubiquitous and play crucial roles across various scales and systems, such as the Big Bang, black hole dynamics, quantum phase transitions in microscopic many-body systems, and so on. nuclear fission manifests as a complex nuclear shape stretching until it splits into fragments with substantial angular momenta, also exhibiting complex quantum fluctuations and specifically shape fluctuations. For over 40 years, researchers have puzzled how the fission fragment angular momenta are generated dynamically from (almost) zero spin, as well as the particular role played by quantum fluctuations. Here, for the first time, we report the quantum shape fluctuations that drive fragment angular momenta during nuclear fission, based on a global, microscopic, and dynamical simulation. The calculated probability distributions of fragment angular momenta are in good agreement with the experimental measurements, and the sawtooth-like mass dependence of average angular momenta is reproduced very well. It is noteworthy to find that the shape fluctuations—multiple rotations, vibrations, and their couplings—drive the generation and chaotic evolution of fragment angular momenta during fission fragment formation and induce strong correlations between angular momentum orientations of partner fragments at small, medium, and large opening angles (φLH ≈ 30◦, 90◦, 160◦). Our work not only deepens the fundamental understanding of the nuclear fission mechanism but also has implications for the γ-ray heating problem in nuclear reactors and the synthesis of superheavy elements. Copyright © 2023, The Authors. All rights reserved.

关键词： Gamma rays

来源：评论

学校读者我要写书评

暂无评论

Polynomial-SHAP analysis of liver disease markers for capturing of complex feature interactions in machine learning models

引用

Computers in Biology and Medicine 2024年 182卷 109168-109168页

作者： Ejiyi, Chukwuebuka Joseph Cai, Dongsheng Ejiyi, Makuachukwu B. Chikwendu, Ijeoma A. Coker, Kenneth Oluwasanmi, Ariyo Bamisile, Oluwatoyosi F. Ejiyi, Thomas U. Qin, Zhen College of Nuclear Technology and Automation Engineering Sichuan Industrial Internet Intelligent Monitoring and Application Engineering Research Center Chengdu University of Technology Sichuan Chengdu China Pharmacy Department University of Nigeria Nsukka Enugu State Nsukka Nigeria School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Department of Electrical and Electronic Engineering Ho Technical University Ghana Ghana Network and Data Security Key Laboratory of Sichuan Province University of Electronic Science and Technology of China Sichuan Chengdu China Department of Pure and Industrial Chemistry University of Nigeria Nsukka Enugu State Nsukka Nigeria

Liver disease diagnosis is pivotal for effective patient management, and machine learning techniques have shown promise in this domain. In this study, we investigate the impact of Polynomial-SHapley Additive exPlanations analysis on enhancing the performance and interpretability of machine learning models for liver disease classification. Our results demonstrate significant improvements in accuracy, precision, recall, F1_score, and Matthews correlation coefficient across various algorithms when polynomial- SHapley Additive exPlanations analysis is applied. Specifically, the Light Gradient Boosting Machine model achieves exceptional performance with 100 % accuracy in both scenarios. Furthermore, by comparing the results obtained with and without the approach, we observe substantial differences in the performance, highlighting the importance of incorporating Polynomial-SHapley Additive exPlanations analysis for improved model performance. The Polynomial features and SHapley Additive exPlanations values also enhance the interpretability of machine learning models by capturing complex feature interactions, enabling users to gain deeper insights into the underlying mechanisms driving the diagnosis. Moreover, data rebalancing using Synthetic Minority Over-sampling Technique and parameter tuning were employed to optimize the performance of the models. These findings underscore the significance of employing this analytical approach in machine-learning-based diagnostic systems for liver diseases, offering superior performance and enhanced interpretability for informed decision-making in clinical practice. © 2024 Elsevier Ltd

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Physics-informed Neural Network for system identification of rotors ⁎

引用

IFAC-PapersOnLine 2024年第15期58卷 307-312页

作者： Xue Liu Wei Cheng Ji Xing Xuefeng Chen Zhibin Zhao Rongyong Zhang Qian Huang Jinqi Lu Hongpeng Zhou Wei Xing Zheng Wei Pan The National Key Laboratory of Aerospace Power System and Plasma Technology and School of Mechanical Engineering Xi’an Jiaotong University Xi’an China China Nuclear Power Engineering Co. Ltd. Beijing China Shanghai Apollo Machinery Co. Ltd. Shanghai China Department of Computer Science University of Manchester Manchester United Kingdom School of Computer Data and Mathematical Sciences Western Sydney University Sydney Australia

The condition of the rotor system remains difficult to assess due to system nonlinearity and nosiy measurements. To deal with the problem, we proposed a hierarchical physics-informed neural network (HPINN) to discover the ordinary differential equation (ODE) of a healthy/faulty rotor system from noise measurements and then assess the machine condition based on the discovered ODE. Specifically, the ODE of a healthy rotor system is first stably identified from noise measurement through HPINN guided by rotor dynamics. Based on the identified healthy ODE, the extra fault terms in the ODE of the faulty rotor system are then sparsely regressed from the predefined library embedded in HPINN. Moreover, with the mathematical terms of discovered fault, the potential fault and the health indicator (HI) are diagnosed and constructed to assess the condition of the rotor system, respectively. Finally, the effectiveness of the proposed method is verified by the data set collected on the circulating water test bench, showing the potential for practical applications.

关键词： rotor system fault diagnosis health indicator physics-informed neural network

来源：评论

学校读者我要写书评

暂无评论

ArborTracking:a tree topology track pattern recognition algorithm

引用

Radiation Detection technology and Methods 2020年第3期4卷 377-382页

作者： Mingrui Zhao Manqi Ruan Shouyang Hu Jing Zhou Yuliang Yan Lei Chen Wendi Liu Peiyu Li Shihai Jia Yunyu Zhang Xiaomei Li Science and Technology on Nuclear Data Laboratory China Institute of Atomic EnergyBeijing 102413China Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China

Purpose The purpose of this work is to develop a novel pattern tracking algorithm to be used on the detectors of the future electron-positron *** ArborTracking,a light-weighted tracking algorithm,has been developed based on the tree topology of track clusters and applied to the baseline detector of the circular electron-positron collider(CEPC).The algorithm collects all the hits in the tracker as a tree(forest),splits the tree branches to form the track segments,and merges the track segments to form the *** Compared with the general track following method,the algorithm has the advantages of low coding complicity and low CPU *** performances at different benchmarks are *** results are exhaustively listed showing that the method is approaching the limit of the *** tracking efficiencies on single muon sample and three-prong sample are both higher than 99%.The transverse momentum resolution reaches 0.1%level and the boson mass resolution reaches 4.7 GeV/*** The performances are similar with those of the baseline tracking algorithm of CEPC,and the physics requirement of CEPC is *** new tree pattern recognition algorithm is a necessary part in the CEPC *** it is also a competitive algorithm on the market,which can be chosen by the future experiments.

关键词： Tracking Arbor Future collider Circular electron-position collider

来源：评论

学校读者我要写书评

暂无评论

Prospect for measurement of the CP-violating phase φs in the Bs → J/Ψφ channel at a future Z factory

arXiv

引用

arXiv 2022年

作者： Li, Xiaomei Ruan, Manqi Zhao, Mingrui Science and Technology on Nuclear Data Laboratory China Institute of Atomic Energy Beijing China Institute of High Energy Physics Chinese Academy of Sciences Beijing China Niels Bohr Institute University of Copenhagen Copenhagen Denmark

The CP-violating phase φs, the Bs decay width (Γs), and the Bs decay width difference (ΔΓs) are sensitive probes to new physics and can constrain the heavy quark expansion theory. The potential for the measurement at future Z factories is studied in this manuscript. It is found that operating at Tera-Z mode, the expected precision can reach: σ(φs) = 4.6 mrad, σ(ΔΓs) = 2.4 ns-1 and σ(Γs) = 0.72 ns-1. The precision of φs is 40% larger than the expected precision with the LHCb experiment at HL-LHC. If operating at 10-Tera-Z mode, the precision of φs can be measured at 45% of the precision obtained from the LHCb experiment at HL-LHC. However, the measurement of Γs and ΔΓs cannot benefit from the excellent time resolution and tagging power of the future Zfactories. Only operating at 10-Tera-Z mode can the Γs and ΔΓs reach an 18% larger precision than the precision expected to be obtained from LHCb at HL-LHC. The control of penguin contamination at the future Z-factories is also discussed. © 2022, CC BY.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Estimating geographic variation of infection fatality ratios during epidemics

引用

Infectious Disease Modelling 2024年第2期9卷 634-643页

作者： Joshua Ladau Eoin L.Brodie Nicola Falco Ishan Bansal Elijah B.Hoffman Marcin P.Joachimiak Ana M.Mora Angelica M.Walker Haruko M.Wainwright Yulun Wu Mirko Pavicic Daniel Jacobson Matthias Hess James B.Brown Katrina Abuabara Departments of Computational Precision Health and Dermatology University of CaliforniaSan FranciscoCA94115USA Arva Intelligence Inc.Salt Lake CityUT84101USA Computational Biosciences Group Lawrence Berkeley National LaboratoryBerkeleyCA94720USA Earth and Environmental Sciences Area Lawrence Berkeley National LaboratoryBerkeleyCA94720USA Graduate Group in Biostatistics University of CaliforniaBerkeleyCA94720USA Biosystems Data Science Environmental Genomics and Systems BiologyLawrence Berkeley National LaboratoryBerkeleyCA94720USA Center for Environmental Research and Community Health(CERCH) School of Public HealthUniversity of CaliforniaBerkeleyCA94720USA Bredesen Center for Interdisciplinary Research and Graduate Education University of TennesseeKnoxvilleTN37996USA Department of Nuclear Science and Engineering Massachusetts Institute of TechnologyBostonMA02139USA Biosciences Oak Ridge National LaboratoryOak RidgeTN37830USA University of California DavisCA95616USA Statistics Department University of CaliforniaBerkeleyCA94720USA Division of Epidemiology and Biostatistics University of California Berkeley School of Public Health2121 Berkeley WayBerkeleyCA94720USA

Objectives We aim to estimate geographic variability in total numbers of infections and infection fatality ratios(IFR;the number of deaths caused by an infection per 1,000 infected people)when the availability and quality of data on disease burden are limited during an *** We develop a noncentral hypergeometric framework that accounts for differential probabilities of positive tests and reflects the fact that symptomatic people are more likely to seek *** demonstrate the robustness,accuracy,and precision of this framework,and apply it to the United States(U.S.)COVID-19 pandemic to estimate county-level SARS-CoV-2 *** The estimators for the numbers of infections and IFRs showed high accuracy and precision;for instance,when applied to simulated validation data sets,across counties,Pearson correlation coefficients between estimator means and true values were 0.996 and 0.928,respectively,and they showed strong robustness to model *** the county-level estimators to the real,unsimulated COVID-19 data spanning April 1,2020 to September 30,2020 from across the U.S.,we found that IFRs varied from 0 to 44.69,with a standard deviation of 3.55 and a median of *** The proposed estimation framework can be used to identify geographic variation in IFRs across settings.

关键词： Infection fatality ratio Infection fatality rate Noncentral hypergeometric distribution COVID-19 SARS-CoV-2

来源：评论

学校读者我要写书评

暂无评论

Measurement of the Pr141(n,γ) cross section up to stellar s-process temperatures at the China Spallation Neutron Source Back-n facility

引用

Physical Review C 2023年第3期108卷 035802-035802页

作者： Xiankai Li Zhendong An Wei Jiang Jingyi Zhang Ruoran Bai Shaokun Liu Xinxiang Li Zhichao Zhu Gaole Yang Weiwei Qiu Zhengfa Liao Ziyue Zhuang Xiaoping Zhang Shengli Chen Chenchen Guo Erxi Xiao Xiao Fang Hongwei Wang Xinrong Hu Bing Jiang Wenqing Shen Jincheng Wang Jie Ren Xichao Ruan Wen Luo Haoyang Lan Zongwei Cao Xu Ma Yingdu Liu Pusen Wang Yi Yang Ping Su Xiangai Deng Wanbing He Yugang Ma Chunwang Ma Yuting Wang Zhitao Dai Ertao Li Pengqin He RenGuang Tang Tao Zhou Jing Wang Han Yi Yue Zhang Yonghao Chen Ruirui Fan Keqing Gao Qiang Li Kang Sun Zhixin Tan Minhao Gu Hantao Jing Jingyu Tang School of Nuclear Science and Technology University of South China Hengyang 421001 China School of Physics and Astronomy Sun Yat-sen University Zhuhai 519082 China Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201800 China State Key Laboratory of Lunar and Planetary Sciences Macau University of Science and Technology Macau 999078 China CNSA Macau Center for Space Exploration and Science Macau 999078 China Institute of High Energy Physics Chinese Academy of Sciences Beijing 100049 China Spallation Neutron Source Science Center Dongguan 523803 China University of Chinese Academy of Sciences Beijing 100049 China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-sen University Zhuhai 519082 China Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai 201210 China Key Laboratory of Nuclear Data China Institute of Atomic Energy Beijing 102413 China State Key Laboratory of Nuclear Physics and Technology and CAPT Peking University Beijing 100871 China Beijing Laser Acceleration Innovation Center Huairou Beijing 101400 China Shool of Materials Science and Engineering Xiangtan University Xiangtan 411100 China Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) Institute of Modern Physics Department of Nuclear Science and Technology Fudan University Shanghai 200433 China Institute of Particle and Nuclear Physics Henan Normal University Xinxiang 453007 China School of Physics Henan Normal University Xinxiang 453007 China Shenzhen Center Cancer hospital Chinese Academy of Medical Sciences Shenzhen 518100 China Institute for Advanced Study in Nuclear Energy and Safety College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen 518060 China

In nuclear astrophysics, Pr141 is mainly produced by an s process, which has a neutron magic number (N=82) leading to its low capture cross section and strongly affecting the s process. Its neutron capture cross section is an important input parameter for nuclear astrophysical network calculations. According to the EXFOR database, the measurement precision for the Pr141(n,γ) cross section should be improved in the resolved and unresolved resonance region. The (n,γ) cross section of Pr141 was measured between 1 eV and 500 keV at the Back-n facility of the Chinese Spallation Neutron Source using the time-of-flight (TOF) method. The prompt γ rays were detected by four C6D6 liquid scintillator detectors, and the data was analyzed using the pulse-height weighting technique (PHWT). The majority of results are in agreement with the evaluated data libraries ENDF/B-VIII.0, JENDL-5.0, and TENDL-2021, with some significant exceptions for small resonances. The multilevel R-matrix Bayesian code sammy was used to extract the resonance parameters of Pr141 in the resolved resonance region. And the Maxwell average cross section (MACS) from kT=5 to 100 keV is calculated in the temperature range of the s-process nucleosynthesis model. In particular, at kT=30 keV the MACS value of Pr141 is 145.0±13.7 mb, which shows an obvious discrepancy with the Karlsruhe Astrophysical database of Nucleosynthesis in Stars (KADoNiS) recommended value 111.4±1.4 mb.

关键词： Neutron physics nuclear astrophysics nuclear reactions Nucleosynthesis in explosive environments Radiative capture Resonance reactions 90 ≤ A ≤ 149 nuclear data analysis & compilation Radiation detectors

来源：评论

学校读者我要写书评

暂无评论

Progress in measurements of fission cross sections and total cross sections at CSNS Back-n white neutron source

引用

nuclear Analysis 2023年第2期2卷

作者： Liu, Rong Yang, Yiwei Ren, Zhizhou Wen, Zhongwei Wen, Jie Liu, Xingyan Chen, Yonghao Yi, Han Han, Zijie Chen, Qiping Bao, Jie An, Qi Bai, Huaiyong Cao, Ping Cheng, Pinjing Cui, Zengqi Fan, Ruirui Feng, Changqing Gu, Minhao Guo, Fengqin Han, Changcai He, Guozhu He, Yongcheng He, Yuefeng Huang, Hanxiong Huang, Weiling Huang, Xiru Ji, Xiaolu Ji, Xuyang Jiang, Haoyu Jiang, Wei Jing, Hantao Kang, Ling Kang, Mingtao Li, Bo Li, Lun Li, Qiang Li, Xiao Li, Yang Liu, Shubin Luan, Guangyuan Ma, Yinglin Ning, Changjun Qi, Binbin Ren, Jie Ruan, Xichao Song, Zhaohui Sun, Hong Sun, Xiaoyang Sun, Zhijia Tan, Zhixin Tang, Hongqing Tang, Jingyu Wang, Pengcheng Wang, Qi Wang, Taofeng Wang, Yanfeng Wang, Zhaohui Wang, Zheng Wu, Qingbiao Wu, Xiaoguang Wu, Xuan Xie, Likun Yu, Li Yu, Tao Yu, Yongji Zhang, Guohui Zhang, Jing Zhang, Linhao Zhang, Liying Zhang, Qingmin Zhang, Qiwei Zhang, Xianpeng Zhang, Yuliang Zhang, Zhiyong Zhao, Yingtan Zhou, Liang Zhou, Zuying Zhu, Danyang Zhu, Kejun Zhu, Peng Institute of Nuclear Physics and Chemistry China Academy of Engineering Physics Mianyang 621900 China Department of Modern Physics University of Science and Technology of China Hefei 230026 China Institute of High Energy Physics Chinese Academy of Sciences (CAS) Beijing 100049 China Spallation Neutron Source Science Center Dongguan 523803 China Key Laboratory of Nuclear Data China Institute of Atomic Energy Beijing 102413 China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Heifei 230026 China State Key Laboratory of Nuclear Physics and Technology School of Physics Peking University Beijing 100871 China School of Nuclear Science & Technology University of Science and Technology of China Hefei 230026 China University of South China Hengyang 421001 China Sate Key Laboratory of Particle Detection and Electronics Institute of High Energy Physics Chinese Academy of Sciences Beijing 100049 China Northwest Institute of Nuclear Technology Xi'an 710024 China Department of Engineering and Applied Physics University of Science and Technology of China Hefei 230026 China School of Physics Beihang University Beijing 100083 China Xi'an Jiaotong University Xi'an 710049 China

The neutron-induced cross sections are of great significance for the design of nuclear devices and advanced reactors for the nuclear energy production. At CSNS Back-n white neutron source, new measurements of the fission cross sections and total cross sections are performed with two sets of Day-one spectrometers based on the multi-cell fast fission ionization chamber (FIC). The neutron-induced ^236,238U fission cross sections relative to ²³⁵U from the fission threshold energy to 200 MeV were measured by using the TOF method and the Fast Ionization Chamber Spectrometer for Fission Cross Section Measurement (FIXM) in the single/double bunch mode of Back-n. The experimental uncertainties are analyzed in detail, and the results from the two modes are consistent. The measured ^236,238U/²³⁵U fission cross section ratios are compared with previous experiments and evaluations. The ^236,238U(n,f) cross sections are obtained based on the standard ²³⁵U fission cross section. The neutron total cross sections of carbon and aluminum in the energy region from 1 eV to 20 MeV have been measured by using the TOF method and transmission method based on the Neutron Total Cross Section Spectrometer (NTOX) in the double bunch mode. The total cross section results after unfolding are in good agreement with the previous measurements as well as the broadening of the ENDF/B-Ⅷ.0 evaluation with Gaussian function within the experimental uncertainty. The present results provide the experimental data for further measurements, relevant evaluations and the design of nuclear system. © 2023 The Authors

关键词： CSNS Back-n data analysis Fission cross section Multi-cell fast fission chamber Total cross section

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：