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arXiv 2024年

作者： Lu, Xiaoying Abdukerim, Abdusalam Bo, Zihao Chen, Wei Chen, Xun Chen, Yunhua Cheng, Chen Cheng, Zhaokan Cui, Xiangyi Fan, Yingjie Fang, Deqing Geng, Lisheng Giboni, Karl Guo, Xuyuan Han, Chencheng Han, Ke He, Changda He, Jinrong Huang, Di Huang, Junting Huang, Zhou Hou, Ruquan Hou, Yu Ji, Xiangdong Ju, Yonglin Li, Chenxiang Li, Jiafu Li, Mingchuan Li, Shuaijie Li, Tao Lin, Qing Liu, Jianglai Lu, Congcong Luo, Lingyin Luo, Yunyang Ma, Wenbo Ma, Yugang Mao, Yajun Meng, Yue Ning, Xuyang Pang, Binyu Qi, Ningchun Qian, Zhicheng Ren, Xiangxiang Shaheed, Nasir Shang, Xiaofeng Shao, Xiyuan Shen, Guofang Shen, Manbin Si, Lin Sun, Wenliang Tao, Yi Wang, Anqing Wang, Meng Wang, Qiuhong Wang, Shaobo Wang, Siguang Wang, Wei Wang, Xiuli Wang, Xu Wang, Zhou Wei, Yuehuan Wu, Mengmeng Wu, Weihao Wu, Yuan Xiao, Mengjiao Xiao, Xiang Xiong, Kaizhi Yan, Binbin Yan, Xiyu Yang, Yong Yu, Chunxu Yuan, Ying Yuan, Zhe Yun, Youhui Zeng, Xinning Zhang, Minzhen Zhang, Peng Zhang, Shibo Zhang, Shu Zhang, Tao Zhang, Wei Zhang, Yang Zhang, Yingxin Zhang, Yuanyuan Zhao, Li Zhou, Jifang Zhou, Ning Zhou, Xiaopeng Zhou, Yubo Zhou, Zhizhen Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary Science Shandong University Shandong Qingdao266237 China Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong University Shandong Qingdao266237 China Shanghai Key Laboratory for Particle Physics and Cosmology Shanghai200240 China New Cornerstone Science Laboratory Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai200240 China Shanghai Jiao Tong University Sichuan Research Institute Chengdu610213 China Jinping Deep Underground Frontier Science and Dark Matter Key Laboratory of Sichuan Province China Yalong River Hydropower Development Company Ltd. 288 Shuanglin Road Chengdu610051 China School of Physics Sun Yat-Sen University Guangzhou510275 China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen University Zhuhai519082 China Department of Physics Yantai University Yantai264005 China Institute of Modern Physics Fudan University Shanghai200433 China School of Physics Beihang University Beijing102206 China Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University Beijing102206 China Peng Huanwu Collaborative Center for Research and Education Beihang University Beijing100191 China Institute of Modern Physics Chinese Academy of Sciences Huizhou516000 China School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China Department of Physics University of Maryland College ParkMD20742 United States State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei230026 China Department of Modern Physics University of Science and Technology of China Hefei230026 China School of Physics Peking University Beijing100871 China School of Physics Nankai University Tianjin300071 China SJTU Paris Elite Institute of Technology Shanghai Jiao Tong University Shanghai200240 China Sch

The proton-proton (pp) fusion chain dominates the neutrino production from the Sun. The uncertainty of the predicted pp neutrino flux is at the sub-percent level, whereas that of the best measurement is O(10%). In this paper, we present the first result to measure the solar pp neutrinos in the electron recoil energy range from 24 to 144 keV, using the PandaX-4T commissioning data with 0.63 tonne×year exposure. The pp neutrino flux is determined to be (8.0 ±3.9 (stat) ±10.0 (syst)) × 1010 s−1cm−2, consistent with Standard Solar Model and existing measurements, corresponding to a flux upper limit of 23.3 × 1010 s−1cm−2 at 90% C.L.. Copyright © 2024, The Authors. All rights reserved.

关键词： Neutron flux

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Identification of proton and gamma in LHAASO-KM2A simulation data with deep learning algorithms 37

Identification of proton and gamma in LHAASO-KM2A simulation...

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37th International Cosmic Ray Conference, ICRC 2021

作者： Zhang, F. Zhu, F.R. Liu, S.M. Hao, Y.C. He, C. Hou, J. Li, Z. Cao, Zhen Aharonian, F. An, Q. Axikegu Bai, L.X. Bai, Y.X. Bao, Y.W. Bastieri, D. Bi, X.J. Bi, Y.J. Cai, H. Cai, J.T. Cao, Zhe Chang, J. Chang, J.F. Chen, B.M. Chen, E.S. Chen, J. Chen, Liang Chen, Liang Chen, Long Chen, M.J. Chen, M.L. Chen, Q.H. Chen, S.H. Chen, S.Z. Chen, T.L. Chen, X.L. Chen, Y. Cheng, N. Cheng, Y.D. Cui, S.W. Cui, X.H. Cui, Y.D. D'Ettorre Piazzoli, B. Dai, B.Z. Dai, H.L. Dai, Z.G. Danzengluobu della Volpe, D. Dong, X.J. Duan, K.K. Fan, J.H. Fan, Y.Z. Fan, Z.X. Fang, J. Fang, K. Feng, C.F. Feng, L. Feng, S.H. Feng, Y.L. Gao, B. Gao, C.D. Gao, L.Q. Gao, Q. Gao, W. Ge, M.M. Geng, L.S. Gong, G.H. Gou, Q.B. Gu, M.H. Guo, F.L. Guo, J.G. Guo, X.L. Guo, Y.Q. Guo, Y.Y. Han, Y.A. He, H.H. He, H.N. He, J.C. He, S.L. He, X.B. He, Y. Heller, M. Hor, Y.K. Hou, C. Hu, H.B. Hu, S. Hu, S.C. Hu, X.J. Huang, D.H. Huang, Q.L. Huang, W.H. Huang, X.T. Huang, X.Y. Huang, Z.C. Ji, F. Ji, X.L. Jia, H.Y. Jiang, K. Jiang, Z.J. Jin, C. Ke, T. Kuleshov, D. Levochkin, K. Li, B.B. Li, Cheng Li, Cong Li, F. Li, H.B. Li, H.C. Li, H.Y. Li, J. Li, K. Li, W.L. Li, X.R. Li, Xin Li, Xin Li, Y. Li, Y.Z. Li, Zhe Li, Zhuo Liang, E.W. Liang, Y.F. Lin, S.J. Liu, B. Liu, C. Liu, D. Liu, H. Liu, H.D. Liu, J. Liu, J.L. Liu, J.S. Liu, J.Y. Liu, M.Y. Liu, R.Y. Liu, S.M. Liu, W. Liu, Y. Liu, Y.N. Liu, Z.X. Long, W.J. Lu, R. Lv, H.K. Ma, B.Q. Ma, L.L. Ma, X.H. Mao, J.R. Masood, A. Min, Z. Mitthumsiri, W. Montaruli, T. Nan, Y.C. Pang, B.Y. Pattarakijwanich, P. Pei, Z.Y. Qi, M.Y. Qi, Y.Q. Qiao, B.Q. Qin, J.J. Ruffolo, D. Rulev, V. Sáiz, A. Shao, L. Shchegolev, O. Sheng, X.D. Shi, J.Y. Song, H.C. Stenkin, Yu.V. Stepanov, V. Su, Y. Sun, Q.N. Sun, X.N. Sun, Z.B. Tam, P.H.T. School of Physical Science and Technology Southwest Jiaotong University Chengdu611756 China Graduate School of Tangshan Southwest Jiaotong University Tangshan063000 China School of Information Science and Technology Southwest Jiaotong University Chengdu611756 China Key Laboratory of Particle Astrophysics Institute of High Energy Physics Beijing100049 China Key Laboratory of Particle Astrophyics Experimental Physics Division Computing Center Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China University of Chinese Academy of Sciences Beijing100049 China TIANFU Cosmic Ray Research Center Sichuan Chengdu China Dublin Institute for Advanced Studies 31 Fitzwilliam Place Dublin 2 Ireland Max-Planck-Institut for Nuclear Physics P.O. Box 103980 Heidelberg69029 Germany State Key Laboratory of Particle Detection and Electronics China University of Science and Technology of China Anhui Hefei230026 China School of Physical Science and Technology School of Information Science and Technology Southwest Jiaotong University Sichuan Chengdu610031 China College of Physics Sichuan University Sichuan Chengdu610065 China School of Astronomy and Space Science Nanjing University Jiangsu Nanjing210023 China Center for Astrophysics Guangzhou University Guangdong Guangzhou510006 China School of Physics and Technology Wuhan University Hubei Wuhan430072 China Key Laboratory of Dark Matter and Space Astronomy Purple Mountain Observatory Chinese Academy of Sciences Jiangsu Nanjing210023 China Hebei Normal University Hebei Shijiazhuang050024 China Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai200030 China Ministry of Education Tibet Lhasa850000 China National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China Sun Yat-sen University Guangdong Zhuhai519000 China Dipartimento di Fisica Università di Napoli "Federico II"

Identification of proton and gamma plays an essential role in ultra-high energy gamma-ray astronomy with LHAASO-KM2A. In this work, two neural networks (deep neural networks (DNN) and graph neural networks (GNN)) are applied to distinguish proton and gamma in the LHAASOKM2A simulation data. The receiver operating characteristic (ROC) curves are used to evaluate the quality of the model. Both KM2A-DNN and KM2A-GNN models give higher Area Under Curve (AUC) scores than the traditional baseline model. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Gamma rays

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Performance of LHAASO-WCDA and observation of the Crab Nebula as a standard candle

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Chinese Physics C 2021年第8期45卷 166-181页

作者： F.Aharonian Q.An Axikegu L.X.Bai Y.X.Bai Y.W.Bao D.Bastieri X.J.Bi Y.J.Bi H.Cai J.T.Cai Z.Cao Z.Cao J.Chang J.F.Chang X.C.Chang B.M.Chen J.Chen L.Chen L.Chen L.Chen M.J.Chen M.L.Chen Q.H.Chen S.H.Chen S.Z.Chen T.L.Chen X.L.Chen Y.Chen N.Cheng Y.D.Cheng S.W.Cui X.H.Cui Y.D.Cui B.Z.Dai H.L.Dai Z.G.Dai Danzengluobu D.della Volpe B.D'Ettorre Piazzoli X.J.Dong J.H.Fan Y.Z.Fan Z.X.Fan J.Fang K.Fang C.F.Feng L.Feng S.H.Feng Y.L.Feng B.Gao C.D.Gao Q.Gao W.Gao M.M.Ge L.S.Geng G.H.Gong Q.B.Gou M.H.Gu J.G.Guo X.L.Guo Y.Q.Guo Y.Y.Guo Y.A.Han H.H.He H.N.He J.C.He S.L.He X.B.He Y.He M.Heller Y.K.Hor C.Hou X.Hou H.B.Hu S.Hu S.C.Hu X.J.Hu D.H.Huang Q.L.Huang W.H.Huang X.T.Huang Z.C.Huang F.Ji X.L.Ji H.Y.Jia K.Jiang Z.J.Jiang C.Jin D.Kuleshov K.Levochkin B.B.Li C.Li C.Li F.Li H.B.Li H.C.Li H.Y.Li J.Li K.Li W.L.Li X.Li X.Li X.R.Li Y.Li Y.Z.Li Z.Li Z.Li E.W.Liang Y.F.Liang S.J.Lin B.Liu C.Liu D.Liu H.Liu H.D.Liu J.Liu J.L.Liu J.S.Liu J.Y.Liu M.Y.Liu R.Y.Liu S.M.Liu W.Liu Y.N.Liu Z.X.Liu W.J.Long R.Lu H.K.Lv B.Q.Ma L.L.Ma X.H.Ma J.R.Mao A.Masood W.Mitthumsiri T.Montaruli Y.C.Nan B.Y.Pang P.Pattarakijwanich Z.Y.Pei M.Y.Qi B.Q.Qiao D.Ruffolo V.Rulev A.Saiz L.Shao O.Shchegolev X.D.Sheng J.R.Shi H.C.Song Yu.V.Stenkin V.Stepanov Q.N.Sun X.N.Sun Z.B.Sun P.H.T.Tam Z.B.Tang W.W.Tian B.D.Wang C.Wang H.Wang H.G.Wang J.C.Wang J.S.Wang L.P.Wang L.Y.Wang R.N.Wang W.Wang W.Wang X.G.Wang X.J.Wang X.Y.Wang Y.D.Wang Y.J.Wang Y.P.Wang Z.Wang Z.Wang Z.H.Wang Z.X.Wang D.M.Wei J.J.Wei Y.J.Wei T.Wen C.Y.Wu H.R.Wu S.Wu W.X.Wu X.F.Wu S.Q.Xi J.Xia J.J.Xia G.M.Xiang G.Xiao H.B.Xiao G.G.Xin Y.L.Xin Y.Xing D.L.Xu R.X.Xu L.Xue D.H.Yan C.W.Yang F.F.Yang J.Y.Yang L.L.Yang M.J.Yang R.Z.Yang S.B.Yang Y.H.Yao Z.G.Yao Y.M.Ye L.Q.Yin N.Yin X.H.You Z.Y.You Y.H.Yu Q.Yuan H.D.Zeng T.X.Zeng W.Zeng Z.K.Zeng M.Zha X.X.Zhai B.B.Zhang H.M.Zhang H.Y.Zhang J.L.Zhang J.W.Zhang L.Zhang L.Zhang L.X.Zhang P.F.Zhang P.P.Zhang R.Zhang S.R.Zhang S.S.Zhang X.Zhang X.P.Zhang Y.Zhang Y.Zhang Y.F.Zhang Y.L.Zhang B.Zhao J.Zhao L.Zhao L.Z.Zhao S.P.Zhao F.Zheng Y.Zheng B.Zhou H.Zhou J.N.Zhou Key Laboratory of Particle Astrophyics&Experimental Physics Division&Computing Center Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Beijing 100049China TIANFU Cosmic Ray Research Center ChengduSichuanChina State Key Laboratory of Particle Detection and Electronics China University of Science and Technology of China Hefei 230026China Department of Engineering Physics Tsinghua UniversityBeijing 100084China National Astronomical Observatories Chinese Academy of SciencesBeijing 100101China National Space Science Center Chinese Academy of SciencesBeijing 100190China School of Physics Peking UniversityBeijing 100871China Center for Astrophysics Guangzhou UniversityGuangzhou 510006China School of Physics and Astronomy&School of Physics(Guangzhou) Sun Yat-sen UniversityZhuhai 519082China School of Physical Science and Technology Guangxi UniversityNanning 530004China Hebei Normal University Shijiazhuang 050024China School of Physics and Microelectronics Zhengzhou UniversityZhengzhou 450001China School of Astronomy and Space Science Nanjing UniversityNanjing 210023China Key Laboratory of Dark Matter and Space Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210023China Institute of Frontier and Interdisciplinary Science Shandong UniversityQingdao 266237China Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical ObservatoryChinese Academy of SciencesShanghai 200030China Tsung-Dao Lee Institute&School of Physics and Astronomy Shanghai Jiao Tong UniversityShanghai 200240China School of Physical Science and Technology&School of Information Science and Technology Southwest Jiaotong UniversityChengdu 610031China College of Physics Sichuan UniversityChengdu 610065China Key Laboratory of Cosmic Rays(Tibet University) Ministry of EducationLhasa 850000China School of Physics and Technology Wuhan UniversityWuhan 430072China School of Physics and Astronomy Yunnan University

The first Water Cherenkov detector of the LHAASO experiment(WCDA-1)has been operating since April *** data for the first year have been analyzed to test its performance by observing the Crab Nebula as a standard *** WCDA-1 achieves a sensitivity of 65 mCU per year,with a statistical threshold of 5 *** accomplish this,a 97.7%cosmic-ray background rejection rate around 1 TeV and 99.8%around 6 TeV with an ap proximate photon acceptance of 50%is achieved after applying an algorithm to separate gamma-induced *** angular resolution is measured using the Crab Nebula as a point source to be approximately 0.45°at 1 TeV and better than 0.2°above 6 TeV,with a pointing accuracy better than 0.05°.These values all match the design *** energy resolution is found to be 33%for gamma rays around 6 *** spectral energy distribution of the Crab Nebula in the range from 500 GeV to 15.8 TeV is measured and found to be in agreement with the results from other TeV gamma ray observatories.

关键词： LHAASO-WCDA Crab Nebula angular resolution spectral energy distribution

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A method of fiducial-value normalizing to leveling the global average atomic number of lunar surface calculated by orbital Gamma spectroscopy data

A method of fiducial-value normalizing to leveling the globa...

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作者： Jiankun Zhao Chao Xiong Wenxun Yan Liangquan Ge School of Nuclear Science and Engineering East China University of Technology College of Applied Nuclear Technology and Automation Engineering Chengdu University of Technology Fundamental Science on Radioactive Geology and Exploration Technology Laboratory East China Institute of Technology

As "banded structure" is a vexed question in orbital Gamma spectroscopy data *** this paper,a new method to level the lunar global data of average atomic number by the fiducial-value in the stable composition circle is *** order to verify the accuracy,the existing moon-sampling rock data as the "standard sample" and fast neutron data are also *** slope of the positive fit curve is 1.875 and the correlation coefficient is *** some geological characteristics,such as the structural boundaries and internal features of the Antarctic Aiken Basin,can identify obviously.

关键词： A method of fiducial-value normalizing to leveling the global average atomic number of lunar surface calculated by orbital Gamma spectroscopy data Gamma

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Application of genetic algorithm for broad learning system optimization

Application of genetic algorithm for broad learning system o...

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International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS)

作者： Jiawei Li Yi Zuo Yiliang Li Yang Wang Tieshan Li C.L.Philip Chen Navigation College Dalian Maritime University Dalian Liaoning China School of Automation Engineering University of Electronic Science and Technology of China Chengdu Sichuan China Fauctly of Science and Technology South China University of technology Macau China

ISBN: (数字)9781728162461

ISBN: (纸本)9781665419352

In order to solve the problem of waste of resources and low monitoring efficiency caused by Container Freight Station (CFS) safety helmet detection mainly relying on manual operations. The Broad Learning System (BLS) optimized by Genetic Algorithm (GA) is selected as the image recognition classifier for helmet detection, which accurately and quickly marks the images of CFS workers who do not wear safety helmet in the video and issues an early warning. GA is a method of searching for the optimal solution by simulating the natural evolution process. While comparing it with initial BLS, BLS optimized by GA (GA-BLS) can automatically constructs network structure and tunes hyperparameters. Furthermore, using proposed method in safety helmet data set reaches a lower error, reduces operation time than initial BLS and other image detection method, such as support vector machine (SVM).

关键词： Support vector machines Learning systems Head Stacking Safety Optimization Genetic algorithms

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Neutron physical feasibility of small modular design of dual fluid reactor 27

Neutron physical feasibility of small modular design of dual...

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27th International Conference on nuclear engineering: nuclear Power Saves the World!, ICONE 2019

作者： Wang, Xiang Zhang, Qian He, Xun Du, Zhuoqi Seidl, Marcus Macian-Juan, Rafael Czerski, Konrad Dabrowski, Mariusz College of Nuclear Science and Technology Harbin Engineering University Harbin Heilongjiang China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu Sichuan China Institute of Nuclear Engineering Technical University of Munich Garching Bayern Germany Faculty of Mathematics and Physics University of Szczecin Szczecin Poland

ISBN: (纸本)9784888983051

The Dual Fluid Reactor (DFR) is a fast reactor concept proposed by the Institute of Solid-state- and nuclear physics (IFK) in Berlin. The design of DFR aims to combine the Gen-IV Molten Salt Reactor (MSR) and the Liquid-Metal Cooled Reactor (SFR, LFR), which means that the molten-salt fuel is no more used as coolant while the heat is removed in a separate loop by liquid lead, to improve these two concepts. Without control rods, DFR is given hope to react and take steps to the change of operation conditions automatically by its inertial negative temperature feedback. Since fuel and coolant are both liquid, the circulation speed of each liquid is considered capable to adjust operational parameters for DFR. The original design of a 3000MWth (Wang, 2017) and a downscaled version of 500MWth (He, 2016) were analyzed in the aspects of reactor physics and thermal-hydraulics. For the practical purpose, this paper has proposed a small modular version of the DFR, which has power output of 2MWth. The reactor with such power level is expected in various applications. Therefore, it is necessary to perform the more explicit analysis on the design than the previous ones. The analysis focuses on the neutronic calculations with the default fuel salt of U-Pu mixture under steady state conditions. Copyright © 2018-2019 by JSME

关键词： Coolants

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Search for exotic interactions of solar neutrinos in the CDEX-10 experiment

arXiv

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arXiv 2022年

作者： Geng, X.P. Yang, L.T. Yue, Q. Kang, K.J. Li, Y.J. An, H.P. Greeshma, C. Chang, J.P. Chen, Y.H. Cheng, J.P. Dai, W.H. Deng, Z. Fang, C.H. Gong, H. Guo, Q.J. Guo, X.Y. He, L. He, S.M. Hu, J.W. Huang, H.X. Huang, T.C. Jia, H.T. Jiang, X. Karmakar, S. Li, H.B. Li, J.M. Li, J. Li, Q.Y. Li, R.M.J. Li, X.Q. Li, Y.L. Liang, Y.F. Liao, B. Lin, F.K. Lin, S.T. Liu, J.X. Liu, S.K. Liu, Y.D. Liu, Y. Liu, Y.Y. Liu, Z.Z. Ma, H. Mao, Y.C. Nie, Q.Y. Ning, J.H. Pan, H. Qi, N.C. Ren, J. Ruan, X.C. She, Z. Singh, M.K. Sun, T.X. Tang, C.J. Tang, W.Y. Tian, Y. Wang, G.F. Wang, L. Wang, Q. Wang, Y.F. Wang, Y.X. Wong, H.T. Wu, S.Y. Wu, Y.C. Xing, H.Y. Xu, R. Xu, Y. Xue, T. Yan, Y.L. Yi, N. Yu, C.X. Yu, H.J. Yue, J.F. Zeng, M. Zeng, Z. Zhang, B.T. Zhang, F.S. Zhang, L. Zhang, Z.H. Zhang, Z.Y. Zhao, K.K. Zhao, M.G. Zhou, J.F. Zhou, Z.Y. Zhu, J.J. Key Laboratory of Particle and Radiation Imaging Ministry of Education Department of Engineering Physics Tsinghua University Beijing100084 China Department of Physics Tsinghua University Beijing100084 China Institute of Physics Academia Sinica Taipei11529 Taiwan NUCTECH Company Beijing100084 China YaLong River Hydropower Development Company Chengdu610051 China College of Nuclear Science and Technology Beijing Normal University Beijing100875 China College of Physics Sichuan University Chengdu610065 China School of Physics Peking University Beijing100871 China Department of Nuclear Physics China Institute of Atomic Energy Beijing102413 China Sino-French Institute of Nuclear and Technology Sun Yat-sen University Zhuhai519082 China School of Physics Nankai University Tianjin300071 China Department of Physics Banaras Hindu University Varanasi221005 India Department of Physics Beijing Normal University Beijing100875 China Department of Physics Institute of Theoretical Physics Nanjing Normal University Nanjing210023 China

We investigate exotic neutrino interactions using the 205.4 kg·day dataset from the CDEX-10 experiment at the China Jinping Underground Laboratory. New constraints on the mass and couplings of new gauge bosons are presented. Two nonstandard neutrino interactions are considered: a U(1)B−L gauge-boson-induced interaction between an active neutrino and electron/nucleus, and a dark-photon-induced interaction between a sterile neutrino and electron/nucleus via kinetic mixing with a photon. This work probes an unexplored parameter space involving sterile neutrino coupling with a dark photon. New laboratory limits are derived on dark photon masses below 1 eV/c2 at some benchmark values of ∆m241 and g′2sin22θ14 Copyright © 2022, The Authors. All rights reserved.

关键词： Photons

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Production of Tcc+ exotic state in the γp→D+T¯cc−Λc+ reaction

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Physical Review D 2021年第11期104卷 116008-116008页

作者： Yin Huang Hong Qiang Zhu Li-Sheng Geng Rong Wang School of Physical Science and Technology Southwest Jiaotong University Chengdu 610031 China Asia Pacific Center for Theoretical Physics Pohang University of Science and Technology Pohang 37673 Gyeongsangbuk-do South Korea College of Physics and Electronic Engineering Chongqing Normal University Chongqing 401331 China School of Physics and Nuclear Energy Engineering Beihang University Beijing 100191 China Institute of Modern Physics Chinese Academy of Sciences Lanzhou 730000 China University of Chinese Academy of Sciences Beijing 100049 China

Stimulated by the recent LHCb observation of a new exotic charged structure Tcc+, we propose to use the central diffractive mechanism existing in the γp→D+T¯cc−Λc+ (T¯cc− is the antiparticle of Tcc+) reaction to produce Tcc+. Our theoretical approach is based on the chiral unitary theory where the Tcc+ resonance is dynamically generated. With the coupling constant of the Tcc+ to DD* channel obtained from chiral unitary theory, the total cross sections of the γp→D+T¯cc−Λc+ reaction are evaluated. Our study indicates that the cross section for γp→D+T¯cc−Λc+ reaction is on the order of 1.0 pb, which is accessible at the proposed the Electron-Ion Collider in China [Front. Phys. (Beijing) 16, 64701 (2021)] or the U.S. [Eur. Phys. J. A 52, 268 (2016)] due to the higher luminosity. If measured and confirmed in the future experiments, the predicted total cross sections can be used to verify the (molecular) nature of the Tcc+.

关键词： Diffractive production Particle phenomena Particle production

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Glassy crystals with colossal multi-baroresponsivities

arXiv

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arXiv 2022年

作者： Zhang, Kun Zhang, Zhe Pan, Hailong Zhao, Xueting Qi, Ji Zhang, Zhao Song, Ruiqi Yu, Chenyang Huang, Biaohong Li, Xujing Chen, Huaican Tan, Changlong Yin, Wen Hu, Weijin Wübbenhorst, Michael Luo, Jiangshui Yu, Dehong Zhang, Zhidong Li, Bing Shenyang National Laboratory for Materials Science Institute of Metal Research Chinese Academy of Sciences 72 Wenhua Road Liaoning Shenyang110016 China School of Materials Science and Engineering University of Science and Technology of China 72 Wenhua Road Liaoning Shenyang110016 China Laboratory for Soft Matter and Biophysics Department of Physics and Astronomy KU Leuven Leuven Belgium Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China Spallation Neutron Source Science Center Dongguan523803 China School of Materials Science and Chemical Engineering Harbin University of Science and Technology Harbin150080 China College of Materials Science and Engineering Sichuan University Chengdu610064 China Australian Nuclear Science and Technology Organisation Lucas HeightsNSW2234 Australia

As a nontrivial solid state of matter, the glassy-crystal state embraces physical features of both crystalline and amorphous solids, where a long-range ordered periodic structure formed by the mass centers of constituent molecules accommodates orientational glasses1-3. Here, we discover and validate a glassy-crystal state in 2-amino-2-methyl-1,3-propanediol (AMP, C4H11NO2) by neutron scattering and complementary broadband dielectric spectroscopy (BDS) measurements. The freezing process of the dynamic orientational disorder is manifested at relaxation times well described by the Vogel-Fulcher-Tammann (VFT) law and the strongly frequency-dependent freezing temperature ranging from around 225 K at 0.1 Hz to above room temperature in the GHz region. At room temperature, the supercooled state is extremely sensitive to pressure such that a few MPa pressure can induce crystallization to the ordered crystal state, eventually leading to a temperature increase by 48 K within 20 s, a significant reduction of visible light transmittance from about 95% to a few percentages, and a remarkable decrease of electrical conductivity by three orders of magnitude. These ultrasensitive baroresponsivities might find their applications in low-grade waste heat recycling, pressure sensors and non-volatile memory devices. It is expected that glassy crystals serve as an emerging platform for exploiting exotic states of matter and the associated fantastic applications. Copyright © 2022, The Authors. All rights reserved.

关键词： Room temperature

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Muon beamtest results of high-density glass scintillator tiles

arXiv

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arXiv 2024年

作者： Du, Dejing Liu, Yong Cai, Hua Chen, Danping Hua, Zhehao Han, Jifeng Liu, Shan Qi, Baohua Qian, Sen Ren, Jing Sun, Xinyuan Tang, Gao Yang, Dong Yin, Shenghua Zhang, Minghui Institute of High Energy Physics Chinese Academy of Sciences Yuquan Road 19B Beijing100049 China University of Chinese Academy of Sciences Yuquan Road 19A Beijing100049 China China Building Materials Academy Guan Zhuang Dong Li 1 Beijing100024 China Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Qinghe Road 390 Shanghai201800 China Institute of Nuclear Science & Technology Sichuan University Wangjiang Road 29 Chengdu610064 China Beijing Glass Research Institute Xingguang 4th Street 5 Beijing101111 China College of Materials and Chemistry China Jiliang University Xueyuan Street 258 Hangzhou310018 China College of Physics and Optoelectronic Engineering Harbin Engineering University Nantong Street 145 Harbin150001 China Department of Physics Jinggangshan University Xueyuan Road 28 Ji’an343009 China China Nuclear Nuclear Instrument CO. LTD. Hongda South Road 3 Beijing100176 China Shanghai Institute of Ceramics Chinese Academy of Sciences Heshuo Road 585 Shanghai201899 China

To achieve the physics goal of precisely measure the Higgs, Z, W bosons and the top quark, future electron-positron colliders require that their detector system has excellent jet energy resolution. One feasible technical option is the high granular calorimetery based on the particle flow algorithm (PFA). A new high-granularity hadronic calorimeter with glass scintillator tiles (GSHCAL) has been proposed, which focus on the significant improvement of hadronic energy resolution with a notable increase of the energy sampling fraction by using high-density glass scintillator tiles. The minimum ionizing particle (MIP) response of a glass scintillator tile is crucial to the hadronic calorimeter, so a dedicated beamtest setup was developed for testing the first batch of large-size glass scintillators. The maximum MIP response of the first batch of glass scintillator tiles can reach up to 107 p.e./MIP, which essentially meets the design requirements of the CEPC GSHCAL. An optical simulation model of a single glass scintillator tile has been established, and the simulation results are consistent with the beamtest results. Copyright © 2024, The Authors. All rights reserved.

关键词： Photons

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