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Description of elastic scattering induced by the unstable nuclei^(9,10,11,13,14)C

Chinese Physics C 2021年第11期45卷 122-127页

作者： Yong-Li Xu Yin-Lu Han Xin-Wu Su Xiao-Jun Sun Hai-Ying Liang Hai-Rui Guo Chong-Hai Cai College of Physics and Electronic Science Shanxi Datong UniversityDatong 037009China Key Laboratory of Nuclear Data China Institute of Atomic EnergyP.O.BOX(275-41)Beijing 102413China College of Physics Guangxi Normal UniversityGuilin 541004China Guangxi Key Laboratory of Nuclear Physics and Nuclear Technology Guangxi Normal UniversityGuilin 541004China Institute of Applied Physics and Computational Mathematics Beijing 100094China Department of Physics Nankai UniversityTianjin 300071China

The elastic-scattering angular distributions and total reaction cross sections of ^(9,10,11,13,14)C projectiles were predicted using the obtained ^(12)C and ^(9)Be global optical model potentials,*** predictions were analyzed in detail by comparison with the available experimental *** results indicate that the ^(12)C and ^(9)Be global optical model potentials provide a satisfactory description of the elastic scattering data for the reactions induced by the ^(9,10,11,13)*** the neutron-rich carbon isotope ^(14)C,the elastic scattering can be well described by changing the real part radius parameter of the ^(12)C global optical model *** physical explanations for the observed differences are further discussed.

关键词： optical model potential elastic-scattering angular distribution reaction cross section

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Initial years'neutron-induced cross-section measurements at the CSNS Back-n white neutron source

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Chinese Physics C 2021年第6期45卷 1-14页

作者： Jingyu Tang Rong Liu Guohui Zhang Xichao Ruan Xiaoguang Wu Qi An Jiangbo Bai Jie Bao Yu Bao Ping Cao Haolei Chen Qiping Chen Yonghao Chen Zhen Chen Zengqi Cui Ruirui Fan Changqing Feng Lin Gan Keqing Gao Xiaolong Gao Minhao Gu Changcai Han Zijie Han Guozhu He Yongcheng He Yang Hong Yiwei Hu Hanxiong Huang Xiru Huang Haoyu Jiang Wei Jiang Zhijie Jiang Hantao Jing Ling Kang Bo Li Chao Li Jiawen Li Qiang Li Xiao Li Yang Li Jie Liu Minliang Liu Shubin Liu Xingyan Liu Ze Long Guangyuan Luan Changjun Ning Mengchen Niu Binbin Qi Jie Ren Zhizhou Ren Zhaohui Song Kang Sun Zhijia Sun Zhixin Tan Xinyi Tang Binbin Tian Lijiao Wang Pengcheng Wang Zhaohui Wang Jie Wen Zhongwei Wen Xuan Wu Likun Xie Xiaoyun Yang Yiwei Yang Han Yi Li Yu Tao Yu Yongji Yu Linhao Zhang Qiwei Zhang Xianpeng Zhang Yuliang Zhang Zhiyong Zhang Luping Zhou Zhihao Zhou Kejun Zhu State Key Laboratory of Particle Detection and Electronics Institute of High Energy Physics Chinese Academy of Sciences(CAS)Beijing 100049China Spallation Neutron Source Science Center Dongguan 523803China University of Chinese Academy of Sciences Beijing 100049China Institute of Nuclear Physics and Chemistry China Academy of Engineering PhysicsMianyang 621900China State Key Laboratory of Nuclear Physics and Technology School of PhysicsPeking UniversityBeijing 100871China Key Laboratory of Nuclear Data China Institute of Atomic EnergyBeijing 102413China Department of Modern Physics University of Science and Technology of ChinaHefei 230026China College of Physics and Optoelectronic Engineering Shenzhen UniversityShenzhen 518060China Northwest Institute of Nuclear Technology Xi'an 710024China Institute of Modern Physics Chinese Academy of Sciences(CAS)Lanzhou 730000China

The Back-n white neutron source(known as Back-n)is based on back-streaming neutrons from the spallation target at the China Spallation Neutron Source(CSNS).With its excellent beam properties,e.g.,a neutron flux of approximately 1.8×107 n/cm2/s at 55 m from the spallation target,energy range spanning from 0.5 eV to 200 MeV,and time-of-flight resolution of a few per thousand,along with the equipped physical spectrometers,Back-n is considered to be among the best facilities in the world for carrying out nuclear data *** its completion and commencement of operation in May 2018,five types of cross-section measurements concerning neutron capture cross-sections,fission cross-sections,total cross-sections,light charged particle emissions,in-beam gamma spectra,and more than forty nuclides have been *** article presents an overview of the experimental setup and result analysis on the neutron-induced cross-section measurements and gamma spectroscopy at Back-n in the initial years.

关键词： white neutron beam experimental spectrometers nuclear data measurements nuclides data analysis

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Measurement of the differential cross sections and angle-integrated cross sections of the ~6Li(n,t)~4 He reaction from 1.0 eV to 3.0 MeV at the CSNS Back-n white neutron source

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Chinese Physics C 2020年第1期44卷 58-85页

作者： Huaiyong Bai Ruirui Fan Haoyu Jiang Zengqi Cui Yiwei Hu Guohui Zhang Zhenpeng Chen Wei Jiang Han Yi Jingyu Tang Liang Zhou Qi An Jie Bao Ping Cao Qiping Chen Yonghao Chen Pinjing Cheng Changqing Feng Minhao Gu Fengqin Guo Changcai Han Zijie Han Guozhu He Yongcheng He Yuefeng He Hanxiong Huang Weiling Huang Xiru Huang Xiaolu Ji Xuyang Ji Hantao Jing Ling Kang Mingtao Kang Bo Li Lun Li Qiang Li Xiao Li Yang Li Yang Li Rong Liu Shubin Liu Xingyan Liu Guangyuan Luan Yinglin Ma Changjun Ning Binbin Qi Jie Ren Xichao Ruan Zhaohui Song Hong Sun Xiaoyang Sun Zhijia Sun Zhixin Tan Hongqing Tang Pengcheng Wang Qi Wang Taofeng Wang Yanfeng Wang Zhaohui Wang Zheng Wang Jie Wen Zhongwei Wen Qingbiao Wu Xiaoguang Wu Xuan Wu Likun Xie Yiwei Yang Li Yu Tao Yu Yongji Yu Jing Zhang Linhao Zhang Liying Zhang Qingmin Zhang Qiwei Zhang Xianpeng Zhang Yuliang Zhang Zhiyong Zhang Yingtan Zhao Zuying Zhou Danyang Zhu Kejun Zhu Peng Zhu State Key Laboratory of Nuclear Physics and Technology Institute of Heavy Ion PhysicsSchool of PhysicsPeking UniversityBeijing 100871China Sate Key Laboratory of Particle Detection and Electronics Institute of High Energy Physics Chinese Academy of Sciences(CAS)Beijing 100049China Dongguan Neutron Science Center Dongguan 523803China Physics Department Tsinghua UniversityBeijing 100084China Department of Modern Physics University of Science and Technology of ChinaHefei 230026China Key Laboratory of Nuclear Data China Institute of Atomic EnergyBeijing 102413China Institute of Nuclear Physics and Chemistry China Academy of Engineering PhysicsMianyang 621900China University of South China Hengyang 421001China Northwest Institute of Nuclear Technology Xi’an 710024China Department of Engineering and Applied Physics University of Science and Technology of ChinaHefei 230026China Beihang University Beijing 100083China Xi’an Jiaotong University Xi’an 710049China

The^6 Li(n,t)~4 He reaction was measured as the first experiment involving neutron-induced charged particle emission reactions at the CSNS(China Spallation Neutron Source)Back-n white neutron *** differential cross-sections of the^6 Li(n,t)~4 He reaction at 15 detection angles ranging from 19.2°to 160.8°are obtained from 1.0 eV to 3.0 MeV at 80 neutron energy points;for 50 energy points below 0.1 MeV they are reported for the first *** results indicate that the anisotropy of the emitted tritium is noticeable above E_n=100 *** angle-integrated cross-sections are also *** present differential cross-sections agree in general with the previous evaluations,but there are some differences in the *** importantly,the present results indicate that the cross-sections of the^6 Li(n,t)~4 He reaction might be overestimated by most evaluations in the 0.5-3.0 MeV region,although they are recommended as standards below 1.0 MeV.

关键词： ~6Li(n,t)~4He reaction differential cross-section angle-integrated cross-section LPDA

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Octupole correlation in Ga67

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Physical Review C 2024年第2期110卷 024309-024309页

作者： Z. X. Zhou D. W. Luo H. Y. Wu Y. Y. Wang Y. F. Niu W. Zhang C. Xu G. S. Li Z. H. Li H. Hua S. Q. Zhang C. Y. Guo X. Q. Li Y. H. Qiang Aman Rohilla J. Lin J. Z. Zhang L. Ni S. Y. Zhang J. G. Wang Y. D. Fang M. Kumar Raju D. Bing W. Q. Zhang H. Huang M. L. Liu F. F. Zeng S. Guo X. H. Zhou School of Physics and State Key Laboratory of Nuclear Physics and Technology Key Laboratory of Nuclear Data Mathematics and Physics Department School of Nuclear Science and Technology School of Physics and Microelectronics Department of Physics

High-spin states of Ga67 have been studied via the Ni58(C12, 3p)Ga67 fusion-evaporation reaction at a beam energy of 50.4 MeV. Three negative-parity bands and three positive-parity bands in Ga67 are established. The observation of one new E3 transition linking the positive-parity π1g9/2 band and negative-parity π2p3/2 band provides evidence of octupole correlations in Ga67. The characteristics of octupole correlations in the Ga67 are discussed in terms of the reflection-asymmetric triaxial particle rotor model and microscopic relativistic mean field + Bardeen-Cooper-Schrieffer model.

关键词： Collective levels Collective models High spin states nuclear shapes and moments nuclear structure & decays Transfer reactions 59 ≤ A ≤ 89

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Perturbative QCD evidence for spin-2 particles in the di-J/ψ resonances

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science Bulletin 2025年

作者： Zhang, Hong-Fei Ma, Yan-Qing Sang, Wen-Long College of Big Data Statistics Guizhou University of Finance and Economics Guiyang550025 China Research Centre of Big-data Corpus & Language Projects School of Foreign Languages Guizhou University of Finance and Economics Guiyang550025 China School of Physics and State Key Laboratory of Nuclear Physics and Technology Peking University Beijing100871 China Center for High Energy Physics Peking University Beijing100871 China Collaborative Innovation Center of Quantum Matter Beijing100871 China School of Physical Science and Technology Southwest University Chongqing400700 China

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Visualizing nonlinear resonance in nanomechanical systems via single-electron tunneling

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Nano Research 2021年第4期14卷 1156-1161页

作者： Xinhe Wang Lin Cong Dong Zhu Zi Yuan Xiaoyang Lin Weisheng Zhao Zaiqiao Bai Wenjie Liang Ximing Sun Guang-Wei Deng Kaili Jiang Fert Beijing Research Institute School of Microelectronics&Beijing Advanced Innovation Centre for Big Data and Brain Computing(BDBC)Beihang UniversityBeijing 100191China State Key Laboratory of Low-Dimensional Quantum Physics Department of Physics and Tsinghua-Foxconn Nanotechnology Research CenterTsinghua UniversityBeijing 100084China Key Laboratory of Quantum Information CASUniversity of Science and Technology of ChinaHefei 230026China Department of Physics Beijing Normal UniversityBeijing 100875China Institute of Physics Chinese Academy of SciencesBeijing 100080China Institute of Nuclear and New Energy Technology Collaborative Innovation Center of Advanced Nuclear Energy TechnologyKey Laboratory of Advanced Reactor EngineeringTsinghua UniversityBeijing 100084China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610054China

Numerous reports have elucidated the importance of mechanical resonators comprising quantum-dot-embedded carbon nanotubes(CNTs)for studying the effects of single-electron ***,there is a need to investigate the single-electron transport that drives a large amplitude into a nonlinear ***,a CNT hybrid device has been investigated,which comprises a gate-defined quantum dot that is embedded into a mechanical resonator under strong actuation *** Coulomb peak positions synchronously oscillate with the mechanical vibrations,enabling a single-electron Chopper*1 ***,the vibration amplitude of the CNT versus its frequency can be directly visualized via detecting the time-averaged single-electron tunneling *** understand this phenomenon,a general formula is derived for this time-averaged single-electron tunneling current,which agrees well with the experimental *** using this visualization method,a variety of nonlinear motions of a CNT mechanical oscillator have been directly recorded,such as Duffing nonlinearity,parametric resonance,and double-,fractional-,mixed-frequency *** approach opens up burgeoning opportunities for investigating and understanding the nonlinear motion of a nanomechanical system and its interactions with electron transport in quantum regimes.

关键词： carbon nanotube mechanical resonator quantum dot nonlinear coupling

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Discovery of 15 new pulsars at high Galactic Latitudes with FAST

arXiv

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arXiv 2025年

作者： Xu, Xin Dai, Shi Zhi, Qijun Bai, Juntao Berteaud, Joanna Calore, Francesca Clavel, Maïca Zhu, Weiwei Li, Di Zhao, Rushuang Xu, Renxin Qiao, Guojun School of Mathematical Science Guizhou Normal University Guiyang550001 China Guizhou Provincial Key Laboratory of Radio Astronomy and Data Processing Guizhou Normal University Guiyang550001 China Australia Telescope National Facility CSIRO Space and Astronomy PO Box 76 EppingNSW1710 Australia Western Sydney University Locked Bag 1797 Penrith South DCNSW2751 Australia School of Physics and Electronic Science Guizhou Normal University Guiyang550001 China Xinjiang Astronomical Observatory Chinese Academy of Sciences Xinjiang Urumqi830011 China School of Astronomy and Space Science University of Chinese Academy of Sciences Beijing100049 China University of Maryland Department of Astronomy College ParkMD20742 United States NASA Goddard Space Flight Center Code 662 GreenbeltMD20771 United States LAPTh CNRS USMB Annecy74940 France Univ. Grenoble Alpes CNRS IPAG Grenoble38000 France National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China Department of Astronomy Tsinghua University Beijing100190 China School of Physics State Key Laboratory of Nuclear Physics and Technology Peking University Beijing100871 China

We present the discovery and timing results of 15 pulsars discovered in a high Galactic latitude survey conducted with the Five-hundred-meter Aperture Spherical Telescope (FAST). The survey targeted a region as close as possible to the Galactic Center, encompassing an area near the Galactic Bulge. The newly discovered pulsars consist of eleven normal pulsars and four millisecond pulsars (MSPs). Among the MSPs, three are identified in binary systems with orbital periods of ∼ 3.1, 4.6 and 12.5 days, respectively. We have successfully obtained coherent timing solutions for three of the normal pulsars (PSRs J1745−0059, J1746−0156 and J1800−0059). Furthermore, within our data set we found that four pulsars (three new and one known) show mode-changing and/or subpulse drifting phenomena. Comparing our discoveries with simulations of the Galactic disk and Bulge MSP populations indicates that these new pulsars are most likely located in the disk. Nonetheless, our discoveries demonstrate that deep surveys at high Galactic latitudes have significant potential to enhance our understanding of the MSP population in the direction of the Bulge. Copyright © 2025, The Authors. All rights reserved.

关键词： Galaxies

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The application of decision tree in the prediction of winning team

The application of decision tree in the prediction of winnin...

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2018 International Conference on Virtual Reality and Intelligent Systems, ICVRIS 2018

作者： Tang, Xiaohu Liu, Zhifeng Li, Taizhao Wu, Wenbin Wei, Zhenhua Jiangxi Engineering Laboratory on Radioactive Geoscience and Big Data Technology East China University of Technology Nanchang Jiangxi330013 China Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang Jiangxi330013 China Information Engineering College East China University of Technology Nanchang Jiangxi330013 China

ISBN: (纸本)9781538680315

Decision tree algorithm is mainly used for analyzing data and *** algorithm is easy to understand and implement, and it is easy to evaluate the model through static *** this paper, the decision tree algorithm is applied to predict the result of Chinese Football Association Super League(CFASL). In this paper, the data of CFASL 2015, 2016 and 2017 seasons are collected. And 'the result of each team's last match', 'compare of teams' ranking in last season', 'the result of last time the two teams played',etc. are selected as features to predict the winner of a CFASL match. The experiments found that 'two teams' performance in their recent matches', 'whether team A has defeated team B as an away team' and 'whether team B has defeated team A as an away team' played a key role in improving the accuracy of predicting. © 2018 IEEE.

关键词： Forecasting

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Current Status and Development Trend Analysis of Neutron Logging in Uranium Mines in China

Current Status and Development Trend Analysis of Neutron Log...

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2021 International Conference on Advances in Optics and Computational sciences, ICAOCS 2021

作者： Liu, Zhifeng Ding, Chenglong Wang, Ruyang Cao, Junwu Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang Jiangxi330013 China East China University of Technology China 6th Gas Production Plant of Changqing Oilfield China Jiangxi Engineering Laboratory on Radioactive Geoscience and Big Data Technology East China University of Technology Nanchang Jiangxi330013 China

Neutron logging is a method of measuring uranium fission neutrons by bombarding uranium in ore beds with neutrons emitted by neutron sources or neutron generators. The pulsed neutron logging technology of uranium ore has been popularized and applied in the United States, Russia, Australia and other countries. The key technology is almost monopolized by these countries, but the technology is prohibited in China. In the field of uranium logging, natural gamma logging has always been used in China for uranium quantification, which is characterized by large error, low efficiency, high cost and technical and economic bottlenecks. Due to the fact that the research and application of pulsed neutron log in the field of petroleum exploration and production is relatively mature in China, it is urgent to develop relevant logging instruments and uranium quantitative interpretation methods as independent intellectual property rights. This will lead to a change in the backward appearance of uranium logging. This paper analyzes the research status and development trend of neutron logging in uranium at home and abroad. © Published under licence by IOP Publishing Ltd.

关键词： Uranium

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Identification of PET/CT radiomic signature for classification of locally recurrent rectal cancer: A network-based feature selection approach

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Heliyon 2025年第1期11卷 e41404页

作者： Dalmonte, Sara Cocozza, Maria Adriana Cuicchi, Dajana Remondini, Daniel Faggioni, Lorenzo Castellucci, Paolo Farolfi, Andrea Fortunati, Emilia Cappelli, Alberta Biondi, Riccardo Cattabriga, Arrigo Poggioli, Gilberto Fanti, Stefano Castellani, Gastone Coppola, Francesca Curti, Nico IRCCS Rizzoli Orthopedic Institute Medical Technology Laboratory Bologna 40138 Italy Medical Physics Specialization School University of Bologna Bologna 40127 Italy Department of Radiology IRCCS Azienda Ospedaliera-Universitaria di Bologna Bologna 40138 Italy Medical and Surgical Department of Digestive Hepatic and Endocrine-Metabolic Diseases IRCCS Azienda Ospedaliera-Universitaria di Bologna Bologna 40138 Italy Department of Physics and Astronomy University of Bologna Bologna 40127 Italy Nuclear Medicine IRCCS Azienda Ospedaliero-Universitaria di Bologna Bologna 40138 Italy IRCCS Institute of Neurological Sciences of Bologna Data Science and Bioinformatics Laboratory Bologna 40139 Italy Department of Medical and Surgical Sciences University of Bologna Bologna 40138 Italy Dipartimento Diagnostica per Immagini AUSL Romagna UOC Radiologia Faenza Faenza 48018 Italy Academic Radiology Department of Translational Research and of New Surgical and Medical Technologies University of Pisa Pisa 56126 Italy

Background: The modern approach to treating rectal cancer, which involves total mesorectal excision directed by imaging assessments, has significantly enhanced patient outcomes. However, locally recurrent rectal cancer (LRRC) continues to be a significant clinical issue. Identifying LRRC through imaging is complex, due to the mismatch between fibrosis and inflammatory pelvic tissue. This work aimed to develop a machine learning model for predicting LRRC using radiomic features extracted from 18F-FDG Positron Emission Tomography/Computed Tomography (PET/CT). Methods: CT and PET images of PET/CT examinations were retrospectively collected from 44 patients, with 29 cases of recurrence (66 %) and 15 cases with no local recurrence (34 %). The whole analysis was conducted separately for CT and PET images to evaluate their different predictive power. Radiomic features were extracted from suspected lesion volumes identified by physicians and the most relevant radiomic features were selected to predict the presence or absence of LRRC. Feature selection was performed using a novel approach derived from gene expression analysis, based on the DNetPRO algorithm. The prediction was done using a Support Vector Classifier (SVC) with a 10-fold cross-validation. The efficiency of the pipeline in predicting LRRC was evaluated according to the sensitivity, specificity, Balanced Accuracy Score (BAS) and Matthews's Correlation Coefficient (MCC). Results: CT features were found to be the most predictive, showing a sensitivity of 0.80, a specificity of 0.82, a BAS of 0.81 and an MCC of 0.61. PET features obtained a sensitivity of 0.93, a specificity of 0.61, a BAS of 0.77 and a MCC of 0.52. The combination of PET and CT features obtained a sensitivity of 0.80, a specificity of 0.75, a BAS of 0.77 and a MCC of 0.53. Conclusions: To the best of our knowledge, the DNetPRO algorithm was applied for the first time to medical image analysis and proved suitable for the selection of radiomic featu

关键词： CT Machine learning Medical imaging PET Radiomics Rectal cancer Recurrence

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