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arXiv 2020年

作者： schönhöfer, Philipp W.A. Marechal, Matthieu Cleaver, Douglas J. schröder-turk, Gerd E. College of Science Health Engineering and Education Mathematics and Statistics Murdoch University 90 South Street MurdochWA6150 Australia Institut für Theoretische Physik I Friedrich-Alexander-Universität Erlangen-Nürnberg Staudtstraße 7 Erlangen91058 Germany Materials and Engineering Research Institute Sheffield Hallam University SheffieldS1 1WB United Kingdom College of Science Health Engineering and Education Mathematics and Statistics Murdoch University 90 South Street MurdochWA6150 Australia Department of Applied Mathematics Research School of Physical Sciences and Engineering Australian National University CanberraACT0200 Australia Department of Food Science University of Copenhagen Rolighedsvej 26 Frederiksberg C1958 Denmark Physical Chemistry Center for Chemistry and Chemical Engineering Lund University Lund22100 Sweden

We consider depletion effects of a pear-shaped colloidal particle in a hard-sphere solvent, for two different model realisations of the pear-shaped colloidal particle. the two models are the pear hard Gaussian overlap (PHGO) particles and the hard pears of revolution (HPR). the motivation for this study is to provide a microscopic understanding for the substantially different mesoscopic self-assembly properties of these pear-shaped colloids, in dense suspensions, that have been reported in the first part of this series. this is done by determining the differing depletion attraction via MC simulations of PHGO and HPR particles in a pool of a hard spherical solvent and comparing them with excluded volume calculations of numerically obtained ideal configurations on the microscopic level. While the HPR model behaves as predicted by the analysis of excluded volumes, the PHGO model showcases a preference for splay between neighbouring particles, which can be attributed to the special non-additive characteristics of the PHGO contact function. Lastly, we propose a potentially experimentally realisable pear-shaped particle model, the non-additive hard pear of revolution (NAHPR) model, which is based on the HPR model but also features non-additive traits similar to those of PHGO particles to mimic their depletion behaviour. Copyright © 2020, the Authors. All rights reserved.

关键词： Fruits

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search for heavy long-lived charged particles with large ionization energy loss in proton-proton collisions at = 13 teV

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Journal of High Energy Physics 2025年第4期2025卷 1-46页

作者： Hayrapetyan, A. tumasyan, A. Adam, W. Andrejkovic, J. W. Benato, L. Bergauer, t. Chatterjee, s. Damanakis, K. Dragicevic, M. Hussain, P. s. Jeitler, M. Krammer, N. Li, A. Liko, D. Mikulec, i. schieck, J. schöfbeck, R. schwarz, D. sonawane, M. Waltenberger, W. Wulz, C.-E. Janssen, t. Van Laer, t. Van Mechelen, P. Breugelmans, N. D’Hondt, J. Dansana, s. De Moor, A. Delcourt, M. Heyen, F. Lowette, s. Makarenko, i. Müller, D. tavernier, s. tytgat, M. Van Onsem, G. P. Van Putte, s. Vannerom, D. Bilin, B. Clerbaux, B. Das, A. K. De Bruyn, i. De Lentdecker, G. Evard, H. Favart, L. Gianneios, P. Jaramillo, J. Khalilzadeh, A. Khan, F. A. Lee, K. Malara, A. Paredes, s. shahzad, M. A. thomas, L. Vanden Bemden, M. Vander Velde, C. Vanlaer, P. De Coen, M. Dobur, D. Gokbulut, G. Hong, Y. Knolle, J. Lambrecht, L. Marckx, D. Mota Amarilo, K. skovpen, K. Van Den Bossche, N. van der Linden, J. Wezenbeek, L. Benecke, A. Bethani, A. Bruno, G. Caputo, C. De Favereau De Jeneret, J. Delaere, C. Donertas, i. s. Giammanco, A. Guzel, A. O. Jain, sa. Lemaitre, V. Lidrych, J. Mastrapasqua, P. tran, t. t. Alves, G. A. Coelho, E. Correia silva, G. Hensel, C. Menezes De Oliveira, t. Mora Herrera, C. Rebello teles, P. soeiro, M. Vilela Pereira, A. Aldá Júnior, W. L. Barroso Ferreira Filho, M. Brandao Malbouisson, H. Carvalho, W. Chinellato, J. Da Costa, E. M. Da silveira, G. G. De Jesus Damiao, D. Fonseca De souza, s. Gomes De souza, R. Laux Kuhn, t. Macedo, M. Martins, J. Mundim, L. Nogima, H. Pinheiro, J. P. santoro, A. sznajder, A. thiel, M. Bernardes, C. A. Calligaris, L. Fernandez Perez tomei, t. R. Gregores, E. M. Maietto silverio, i. Mercadante, P. G. Novaes, s. F. Orzari, B. Padula, sandra s. Aleksandrov, A. Antchev, G. Hadjiiska, R. iaydjiev, P. Misheva, M. shopova, M. sultanov, G. Dimitrov, A. Litov, L. Pavlov, B. Petkov, P. Petrov, A. shumka, E. Keshri, s. Laroze, D. thakur, s. Cheng, t. Javaid, t. Yuan, L. Hu, Z. Liang, Z. Liu, J. Chen, G. M. Chen, H. s. Chen, M. iemmi, F. Jiang, C. H. Kapoor, A. Liao, H. Liu, Z.-A. sharma, R. song, Yerevan Physics Institute Yerevan Armenia Yerevan State University Yerevan Armenia Institut für Hochenergiephysik Vienna Austria TU Wien Vienna Austria Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Ghent University Ghent Belgium Université Libre de Bruxelles Bruxelles Belgium Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil Universidade Estadual de Campinas Campinas Brazil Federal University of Rio Grande do Sul Porto Alegre Brazil Universidade Estadual Paulista Universidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria Instituto De Alta Investigación Universidad de Tarapacá Arica Chile Beihang University Beijing China Department of Physics Tsinghua University Beijing China Institute of High Energy Physics Beijing China University of Chinese Academy of Sciences Beijing China China Center of Advanced Science and Technology Beijing China China Spallation Neutron Source Guangdong China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Guangdong Provincial Key Laboratory of Nuclear Science and Guangdong-Hong Kong Joint Laboratory of Quantum Matter South China Normal University Guangzhou China Sun Yat-Sen University Guangzhou China University of Science and Technology of China Hefei China Nanjing Normal University Nanjing China Henan Normal University Xinxiang China University of Shanghai for Science and Technology Shanghai China The University of Iowa Iowa City U.S.A. Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) — Fudan University Shanghai China Zhejiang University Hangzhou China Universidad de Los Andes Bogota Colombia Universidad de Antioquia Medellin Colombia University

A search for heavy, long-lived, charged particles with large ionization energy loss within the silicon tracker of the CMs experiment is presented. A data set of proton-proton collisions at a center of mass energy at $...

A search for heavy, long-lived, charged particles with large ionization energy loss within the silicon tracker of the CMS experiment is presented. A data set of proton-proton collisions at a center of mass energy at $$ \sqrt{s} $$ = 13 teV, collected in 2017 and 2018 at the CERN LHC, corresponding to an integrated luminosity of 101 fb−1, is used in this analysis. two different approaches for the search are taken. A new method exploits the independence of the silicon pixel and strips measurements, while the second method improves on previous techniques using ionization to determine a mass selection. No significant excess of events above the background expectation is observed. the results are interpreted in the context of the pair production of supersymmetric particles, namely gluinos, top squarks, and tau sleptons, and of the Drell-Yan pair production of fourth generation (τ′) leptons with an electric charge equal to or twice the absolute value of the electron charge (e). An interpretation of a Z’ boson decaying to two τ′ leptons with an electric charge equal to 2e is presented for the first time. the 95% confidence upper limits on the production cross section are extracted for each of these hypothetical particles.

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selfitis Affects Concentration of the Higher Education students During Lecture Hours

Selfitis Affects Concentration of the Higher Education Stude...

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international Conference on Computational intelligence and Knowledge Economy (iCCiKE)

作者： A. Niaz Ahmed J. Balasubramaniam A. Barveen David Xavier Henry J Department of Media Cihan University-Erbi Kurdistan Region Erbil Iraq Department of Journalism and Science Communication Madurai Kamaraj University Madurai Tamilnadu India Department of Computer science and Engineering MIET Engineering College Trichy India UST Global Kerala India

ISBN: (数字)9781728137780

ISBN: (纸本)9781728137797

Because of technological advancement in smartphone, selfies are easy to manipulate. Based on the feedback of others, people are engaging themselves in selective self-presentation to strengthen their self-concept. the American Psychiatric Association saying that taking `selfie' is a mental disorder and termed it as `sELFitis'. selfie practice is more prevalent among higher education students, because they are more concerned about their self-image. if the self-esteem of higher education students decreases it will affects their self confidence. Higher education teachers are facing difficulties to take hold of the concentration of students because of selfitis. this research has been carried out with the students and teachers of Cihan University-Erbil, Kurdistan region, iraq. Researchers found that, 88% of higher education students using their smartphone during lecture hours and 100% of teachers expressed their worries that this "sELFitis" affects the concentration of their students.

关键词： social network services Education sensitivity sociology statistics Computational intelligence Mental disorders

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Maximum Lifetime Optimized Collaboration of Data and Energy Routing in VANEt

Maximum Lifetime Optimized Collaboration of Data and Energy ...

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international Conference on Virtual Reality and intelligent systems (iCVRis)

作者： Ming Hu Hanlin Chen Jiejun Hu Hui Yan Ping Yu Platform of Jilin Province Science and Technology (S&T) Department "Jilin Province S&T Innovation Center for Physical Simulation and Security of Water resources and Electric Power Engineering" Changchun Institute of Technology Changchun China College of Computer Science and Technology Changchun University of Technology Changchun China School of Computer Sciences and Electrical Engineering University of Essex Colchester U.K

the roadside units (RsUs) based on traditional grid has high carbon footprint and high deployment cost in vehicle dedicated network. An ideal green alternative has become an important issue in Vehicular Ad-Hoc Networks (VANEts). in this paper, we propose a novel framework of energy harvesting and cooperation to maximize the life cycle in VENEts. in this VANEt scenario, the RsU node can harvest energy from the nature and also receive down steam vehicle energy dispatch to maintain the energy needed for data transmission, may transfers a portion of obtained energies by RsU nodes to the neighboring RsU nodes through energy cooperation. Each vehicle can access the RsU in two ways: 1) direct delivery when the vehicle is within the transmission range of the RsU; 2) multi-hop relay when the vehicle is not within the transmission range of the RsU. By analysing the data rate, transmission power and energy transmission, we solve the problem of maximum network life cycle in the conservation law of energy and traffic. We consider involving energy constraints and data transmission joint problem, we optimize each RUs nodes energy management over vehicular outgoing data links and its energy transfers to neighboring RsU nodes. For this case, with no energy cooperation, we show that each RsU node should allocate more power to links with more noise and/or more data flow. in addition, when there is energy cooperation, our numerical results indicate that the energy is routed from nodes with higher energy to nodes with lower energy. simulation results show that energy and data routing cooperation in VANEt strategy can effectively improve the network life cycle.

关键词： Routing Energy harvesting Vehicular ad hoc networks Energy consumption Data communication Delays Optimization

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Constraints on standard model effective field theory for a Higgs boson produced in association with W or Z bosons in the H → decay channel in proton-proton collisions at = 13 teV

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Journal of High Energy Physics 2025年第3期2025卷 1-66页

作者： Chekhovsky, V. Hayrapetyan, A. Makarenko, V. tumasyan, A. Adam, W. Andrejkovic, J. W. Benato, L. Bergauer, t. Chatterjee, s. Damanakis, K. Dragicevic, M. Hussain, P. s. Jeitler, M. Krammer, N. Li, A. Liko, D. Mikulec, i. schieck, J. schöfbeck, R. schwarz, D. sonawane, M. Waltenberger, W. Wulz, C.-E. Janssen, t. Kwon, H. Van Laer, t. Van Mechelen, P. Breugelmans, N. D’Hondt, J. Dansana, s. De Moor, A. Delcourt, M. Heyen, F. Hong, Y. Lowette, s. Makarenko, i. Müller, D. tavernier, s. tytgat, M. Van Onsem, G. P. Van Putte, s. Vannerom, D. Bilin, B. Clerbaux, B. Das, A. K. De Bruyn, i. De Lentdecker, G. Evard, H. Favart, L. Gianneios, P. Khalilzadeh, A. Khan, F. A. Malara, A. shahzad, M. A. thomas, L. Vanden Bemden, M. Vander Velde, C. Vanlaer, P. De Coen, M. Dobur, D. Gokbulut, G. Knolle, J. Lambrecht, L. Marckx, D. skovpen, K. Van Den Bossche, N. van der Linden, J. Vandenbroeck, J. Wezenbeek, L. Bein, s. Benecke, A. Bethani, A. Bruno, G. Caputo, C. De Favereau De Jeneret, J. Delaere, C. Donertas, i. s. Giammanco, A. Guzel, A. O. Jain, sa. Lemaitre, V. Lidrych, J. Mastrapasqua, P. tran, t. t. turkcapar, s. Alves, G. A. Coelho, E. Correia silva, G. Hensel, C. Menezes De Oliveira, t. Mora Herrera, C. Rebello teles, P. soeiro, M. tonelli Manganote, E. J. Vilela Pereira, A. Aldá Júnior, W. L. Barroso Ferreira Filho, M. Brandao Malbouisson, H. Carvalho, W. Chinellato, J. Da Costa, E. M. Da silveira, G. G. De Jesus Damiao, D. Fonseca De souza, s. Gomes De souza, R. Laux Kuhn, t. Macedo, M. Martins, J. Mota Amarilo, K. Mundim, L. Nogima, H. Pinheiro, J. P. santoro, A. sznajder, A. thiel, M. Bernardes, C. A. Calligaris, L. Fernandez Perez tomei, t. R. Gregores, E. M. Maietto silverio, i. Mercadante, P. G. Novaes, s. F. Orzari, B. Padula, sandra s. scheurer, V. Aleksandrov, A. Antchev, G. Hadjiiska, R. iaydjiev, P. Misheva, M. shopova, M. sultanov, G. Dimitrov, A. Litov, L. Pavlov, B. Petkov, P. Petrov, A. shumka, E. Keshri, s. Laroze, D. thakur, s. Cheng, t. Javaid, t. Yuan, L. Hu, Z. Liang, Z. Liu, J. Chen, G. M. Chen, H. Yerevan Physics Institute Yerevan Armenia Yerevan State University Yerevan Armenia Institut für Hochenergiephysik Vienna Austria TU Wien Vienna Austria Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Ghent University Ghent Belgium Université Libre de Bruxelles Bruxelles Belgium Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil FACAMP — Faculdades de Campinas Sao Paulo Brazil Universidade Estadual de Campinas Campinas Brazil Federal University of Rio Grande do Sul Porto Alegre Brazil Universidade Estadual Paulista Universidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria Instituto De Alta Investigación Universidad de Tarapacá Arica Chile Beihang University Beijing China Department of Physics Tsinghua University Beijing China Institute of High Energy Physics Beijing China University of Chinese Academy of Sciences Beijing China China Center of Advanced Science and Technology Beijing China China Spallation Neutron Source Guangdong China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Guangdong Provincial Key Laboratory of Nuclear Science and Guangdong-Hong Kong Joint Laboratory of Quantum Matter South China Normal University Guangzhou China Sun Yat-Sen University Guangzhou China University of Science and Technology of China Hefei China Nanjing Normal University Nanjing China Henan Normal University Xinxiang China University of Shanghai for Science and Technology Shanghai China The University of Iowa Iowa City U.S.A. Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) — Fudan University Shanghai China Zhejiang University Hangzhou China Universidad de Los Andes Bogota Colombia Unive

A standard model effective field theory (sMEFt) analysis with dimension-six operators probing nonresonant new physics effects is performed in the Higgs-strahlung process, where the Higgs boson is produced in association with a W or Z boson, in proton-proton collisions at a center-of-mass energy of 13 teV. the final states in which the W or Z boson decays leptonically and the Higgs boson decays to a pair of bottom quarks are considered. the analyzed data were collected by the CMs experiment between 2016 and 2018 and correspond to an integrated luminosity of 138 fb−1. An approach designed to simultaneously optimize the sensitivity to Wilson coefficients of multiple sMEFt operators is employed. Likelihood scans as functions of the Wilson coefficients that carry sMEFt sensitivity in this final state are performed for different expansions in sMEFt. the results are consistent with the predictions of the standard model.

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A visual mining approach to improved multiple-instance learning

arXiv

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arXiv 2020年

作者： Castelo, sonia Ponti, Moacir Minghim, Rosane Epis Universidad Nacional de San Agustín de Arequipa Arequipa04001 Peru Nyu Tandon School of Engineering New York University BrooklynNY11201 United States ICMC/Universidade de São Paulo São Carlos/SP 13566-590 Brazil School of Computer Science and Information Technology University College Cork CorkT12 YN62 Ireland

Multiple-instance learning (MiL) is a paradigm of machine learning that aims to classify a set (bag) of objects (instances), assigning labels only to the bags. this problem is often addressed by selecting an instance to represent each bag, transforming an MiL problem into standard supervised learning. Visualization can be a useful tool to assess learning scenarios by incorporating the users' knowledge into the classification process. Considering that multiple-instance learning is a paradigm that cannot be handled by current visualization techniques, we propose a multiscale tree-based visualization called MiLtree to support MiL problems. the first level of the tree represents the bags, and the second level represents the instances belonging to each bag, allowing users to understand the MiL datasets in an intuitive way. in addition, we propose two new instance selection methods for MiL, which help users improve the model even further. Our methods can handle both binary and multiclass scenarios. in our experiments, sVM was used to build the classifiers. With support of the MiLtree layout, the initial classification model was updated by changing the training set, which is composed of the prototype instances. Experimental results validate the effectiveness of our approach, showing that visual mining by MiLtree can support exploring and improving models in MiL scenarios and that our instance selection methods outperform the currently available alternatives in most cases. Copyright © 2020, the Authors. All rights reserved.

关键词： Data mining

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sub-percent precision measurement of neutrino oscillation parameters with JUNO

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Chinese Physics C 2022年第12期46卷 28-49页

作者： Angel Abusleme thomas Adam shakeel Ahmad Rizwan Ahmed sebastiano Aiello Muhammad Akram Abid Aleem Fengpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Weidong Bai Nikita Balashov Wander Baldini Andrea Barresi Davide Basilico Eric Baussan Marco Bellato Antonio Bergnoli thilo Birkenfeld sylvie Blin David Blum simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Jose Busto ilya Butorov Anatael Cabrera Barbara Caccianiga Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Riccardo Callegari Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Chi Chan Jinfan Chang Yun Chang Guoming Chen Pingping Chen Po-An Chen shaomin Chen Xurong Chen Yixue Chen Yu Chen Zhiyuan Chen Zikang Chen Jie Cheng Yaping Cheng Yu Chin Cheng Alexey Chetverikov Davide Chiesa Pietro Chimenti Artem Chukanov Gérard Claverie Catia Clementi Barbara Clerbaux selma Conforti Di Lorenzo Daniele Corti Flavio Dal Corso Olivia Dalager Christophe De La taille Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara sergey Dmitrievsky tadeas Dohnal Dmitry Dolzhikov Georgy Donchenko Jianmeng Dong Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Ran Du shuxian Du stefano Dusini Martin Dvorak timo Enqvist Heike Enzmann Andrea Fabbri Donghua Fan Lei Fan Jian Fang Wenxing Fang Marco Fargetta Dmitry Fedoseev Zhengyong Fei Li-Cheng Feng Qichun Feng Richard Ford Amélie Fournier Haonan Gan Feng Gao Alberto Garfagnini Arsenii Gavrikov Marco Giammarchi Nunzio Giudice Maxim Gonchar Guanghua Gong Hui Gong Yuri Gornushkin Alexandre Göttel Marco Grassi Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Yuduo Guan Nunzio Guardone Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yang Han Miao He Wei He tobias Heinz Patrick Hellmuth Yuekun Heng Rafael Herrera YuenKeung Ho Yerevan Physics Institute YerevanArmenia UniversiéLibre de Bruxelles BrusselsBelgium Universidade Estadual de Londrina LondrinaBrazil Pontificia Universidade Catolica do Rio de Janeiro Rio de JaneiroBrazil Pontificia Universidad Católica de Chile SantiagoChile Universidad Tecnica Federico Santa Maria ValparaisoChile Beijing Institute of Spacecraft Environment Engineering BeijingChina Beijing Normal University BeijingChina China Institute of Atomic Energy BeijingChina Institute of High Energy Physics BeijingChina North China Electric Power University BeijingChina School of Physics Peking UniversityBeijingChina Tsinghua University BeijingChina University of Chinese Academy of Sciences BeijingChina Jilin University ChangchunChina College of Electronic Science and Engineering National University of Defense TechnologyChangshaChina Chongqing University ChongqingChina Dongguan University of Technology DongguanChina Jinan University GuangzhouChina Sun Yat-Sen University GuangzhouChina Harbin Institute of Technology HarbinChina University of Science and Technology of China HefeiChina The Radiochemistry and Nuclear Chemistry Group in University of South China HengyangChina Wuyi University JiangmenChina Shandong University JinanChinaand Key Laboratory of Particle Physics and Particle Irradiation of Ministry of EducationShandong UniversityQingdaoChina Institute of Modern Physics Chinese Academy of SciencesLanzhouChina Nanjing University NanjingChina Guangxi University NanningChina East China University of Science and Technology ShanghaiChina School of Physics and Astronomy Shanghai Jiao Tong UniversityShanghaiChina Tsung-Dao Lee Institute Shanghai Jiao Tong UniversityShanghaiChina Institute of Hydrogeology and Environmental Geology Chinese Academy of Geological SciencesShijiazhuangChina Nankai University TianjinChina Wuhan University WuhanChina Xi'an Jiaotong University Xi'anChina Xiamen University XiamenChina School of Physics and Microelectronics Zhengzhou UniversityZhengzhou

JUNO is a multi-purpose neutrino observatory under construction in the south of *** publication presents new sensitivity estimates for the measurement of the △m_(31)^(2),△m_(21)^(2),sin^(2)θ_(12),and sin^(2)θ_(13) oscillation parameters using reactor antineutrinos,which is one of the primary physics goals of the *** sensitivities are obtained using the best knowledge available to date on the location and overburden of the experimental site,the nuclear reactors in the surrounding area and beyond,the detector response uncertainties,and the reactor antineutrino spectral shape constraints expected from the tAO satellite *** is found that the △m_(21)^(2) and sin^(2)θ_(12) oscillation parameters will be determined to 0.5%precision or better in six years of data *** the same period,the △m_(31)^(2) parameter will be determined to about 0.2%precision for each mass ordering *** new precision represents approximately an order of magnitude improvement over existing constraints for these three parameters.

关键词： neutrino oscillation reactor antineutrino precision measurement JUNO

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A comprehensive academic and industrial survey of blockchain technology for the energy sector using fuzzy Einstein decision-making

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Renewable and sustainable Energy Reviews 2025年 222卷

作者： Umit Cali Annabelle Lee Berry Hayes Claudio Lima D. Jonathan sebastian-Cardenas David Flynn Emre Kantar Farrokh Rahimi Kaung si thu Marco Pasetti Marthe Fogstad Dynge Merlinda Andoni Muhammet Deveci Murat Kuzlu Raquel Alanso Kim-Kwang Raymond Choo sambeet Mishra shammya shananda saha sonam Norbu srinikhil Gourisetti Valentin Robu School of Physics Engineering and Technology University of York Heslington York YO10 5DD UK Norwegian University of Science and Technology Elektro E/F E427 Gløshaugen O. S. Bragstads plass 2e Norway Nevermore Security 31256 Stone Canyon Rd Unit 209 Evergreen CO 80439-9695 United States University College Cork College Road Cork Ireland Microbrains AI Houston TX United States PNNL 902 Battelle Blvd Richland WA 99354 United States University of Glascow Glasgow G12 8QQ United Kingdom Sintef Energi AS Sem Sælands vei 11 7034 Trondheim Norway Open Access Technology International 7901 Computer Ave Bloomington MN 55435 United States Department of Electrical Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand University of Brescia Piazza del Mercato 15 25121 Brescia BS Italy Department of Industrial Engineering Turkish Naval Academy National Defence University 34942 Tuzla Istanbul Türkiye Department of Computer Science and Engineering College of Informatics Korea University 145 Anam-ro Seongbuk-gu Seoul 02841 Republic of Korea Department of Information Technologies Western Caspian University Baku 1001 Azerbaijan Old Dominion University 5115 Hampton Blvd Norfolk VA 23529 United States University of Texas at San Antonio 1 UTSA Circle San Antonio TX 78249 United States University of South Eastern Norway Lærerskoleveien 40 3679 Notodden Norway Electric Power Research Institute 3420 Hillview Ave Palo Alto CA 94304 United States Google 1600 Amphitheatre Parkway in Mountain View CA United States Centrum Wiskunde & Informatica Science Park 123 1098 XG Amsterdam Netherlands

the global energy sector is undergoing a significant transformation driven by decarbonization and digitalization, leading to the emergence of Distributed Ledger technology (DLt) — particularly blockchain — as a promising tool for enhancing transparency, security, and efficiency in modern power systems. this study aims to provide a comprehensive academic and industrial survey of blockchain applications in the energy sector and develop a robust decision-making framework to identify and prioritize the most promising real-world use cases based on multidisciplinary criteria. A three-stage methodology was adopted: (i) a literature and market review encompassing over 300 academic publications and commercial blockchain initiatives in energy, (ii) an in-depth evaluation of the evolution and viability of blockchain initiatives in energy with the help of expert surveys, and (iii) a novel decision-making model using a q-rung orthopair fuzzy Multi-Attributive Border Approximation (q-ROF-MABAC) method under the Einstein operator. the results were compared with existing decision models to validate consistency and robustness. Nine key blockchain use case categories were identified and ranked based on technical, economic, and governance dimensions. the results demonstrated that integrating expert insights into a fuzzy logic framework helps filter out overhyped claims in the literature and prioritize realistic and high-impact applications such as green certificates, grid services, and peer-to-peer energy trading. the model’s rankings remained stable across varying weight configurations, confirming the robustness of the methodology. this study provides an evidence-based decision-support tool for researchers, industry stakeholders, and policymakers to better understand, evaluate, and adopt blockchain technologies in the energy sector.

关键词： Distributed Ledger technology (DLt) Blockchain Energy DLt Decision making Decision support system

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Population of Merging Compact Binaries inferred Using Gravitational Waves through GWtC-3

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Physical Review X 2023年第1期13卷 011048-011048页

作者： R. Abbott t. D. Abbott F. Acernese K. Ackley C. Adams N. Adhikari R. X. Adhikari V. B. Adya C. Affeldt D. Agarwal M. Agathos K. Agatsuma N. Aggarwal O. D. Aguiar L. Aiello A. Ain P. Ajith t. Akutsu P. F. de Alarcón s. Akcay s. Albanesi A. Allocca P. A. Altin A. Amato C. Anand s. Anand A. Ananyeva s. B. Anderson W. G. Anderson M. Ando t. Andrade N. Andres t. Andrić s. V. Angelova s. Ansoldi J. M. Antelis s. Antier F. Antonini s. Appert Koji Arai Koya Arai Y. Arai s. Araki A. Araya M. C. Araya J. s. Areeda M. Arène N. Aritomi N. Arnaud M. Arogeti s. M. Aronson K. G. Arun H. Asada Y. Asali G. Ashton Y. Aso M. Assiduo s. M. Aston P. Astone F. Aubin C. Austin s. Babak F. Badaracco M. K. M. Bader C. Badger s. Bae Y. Bae A. M. Baer s. Bagnasco Y. Bai L. Baiotti J. Baird R. Bajpai M. Ball G. Ballardin s. W. Ballmer A. Balsamo G. Baltus s. Banagiri D. Bankar J. C. Barayoga C. Barbieri B. C. Barish D. Barker P. Barneo F. Barone B. Barr L. Barsotti M. Barsuglia D. Barta J. Bartlett M. A. Barton i. Bartos R. Bassiri A. Basti M. Bawaj J. C. Bayley A. C. Baylor M. Bazzan B. Bécsy V. M. Bedakihale M. Bejger i. Belahcene V. Benedetto D. Beniwal t. F. Bennett J. D. Bentley M. BenYaala F. Bergamin B. K. Berger s. Bernuzzi C. P. L. Berry D. Bersanetti A. Bertolini J. Betzwieser D. Beveridge R. Bhandare U. Bhardwaj D. Bhattacharjee s. Bhaumik i. A. Bilenko G. Billingsley s. Bini R. Birney O. Birnholtz s. Biscans M. Bischi s. Biscoveanu A. Bisht B. Biswas M. Bitossi M.-A. Bizouard J. K. Blackburn C. D. Blair D. G. Blair R. M. Blair F. Bobba N. Bode M. Boer G. Bogaert M. Boldrini L. D. Bonavena F. Bondu E. Bonilla R. Bonnand P. Booker B. A. Boom R. Bork V. Boschi N. Bose s. Bose V. Bossilkov V. Boudart Y. Bouffanais A. Bozzi C. Bradaschia P. R. Brady A. Bramley A. Branch M. Branchesi J. Brandt J. E. Brau M. Breschi t. Briant J. H. Briggs A. Brillet M. Brinkmann P. Brockill A. F. Brooks J. Brooks D. D. Brown s. Brunett G. Bruno R. Bruntz J. Bryant t. Bulik H. J. Bulten A. Buonanno R. Buscicchio D. Buskulic C. Buy R. L. Byer L. Cadonati LIGO Laboratory California Institute of Technology Pasadena California 91125 USA Louisiana State University Baton Rouge Louisiana 70803 USA Dipartimento di Farmacia Università di Salerno I-84084 Fisciano Salerno Italy INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo I-80126 Napoli Italy OzGrav School of Physics & Astronomy Monash University Clayton 3800 Victoria Australia LIGO Livingston Observatory Livingston Louisiana 70754 USA University of Wisconsin-Milwaukee Milwaukee Wisconsin 53201 USA OzGrav Australian National University Canberra Australian Capital Territory 0200 Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) D-30167 Hannover Germany Leibniz Universität Hannover D-30167 Hannover Germany Inter-University Centre for Astronomy and Astrophysics Pune 411007 India University of Cambridge Cambridge CB2 1TN United Kingdom Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena D-07743 Jena Germany University of Birmingham Birmingham B15 2TT United Kingdom Center for Interdisciplinary Exploration & Research in Astrophysics (CIERA) Northwestern University Evanston Illinois 60208 USA Instituto Nacional de Pesquisas Espaciais 12227-010 São José dos Campos São Paulo Brazil Gravity Exploration Institute Cardiff University Cardiff CF24 3AA United Kingdom INFN Sezione di Pisa I-56127 Pisa Italy International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bengaluru 560089 India Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Universitat de les Illes Balears IAC3–IEEC E-07122 Palma de Mallorca Spain University College Dublin Dublin 4 Ireland INFN Sezione di Torino I-10125 Torino Italy Università di Napoli “Federico II” Complesso Universitario di Monte S. Angelo I-80126 Napoli

We report on the population properties of compact binary mergers inferred from gravitational-wave observations of these systems during the first three LiGO-Virgo observing runs. the Gravitational-Wave transient Catalog 3 (GWtC-3) contains signals consistent with three classes of binary mergers: binary black hole, binary neutron star, and neutron star–black hole mergers. We infer the binary neutron star merger rate to be between 10 and 1700 Gpc−3 yr−1 and the neutron star–black hole merger rate to be between 7.8 and 140 Gpc−3 yr−1, assuming a constant rate density in the comoving frame and taking the union of 90% credible intervals for methods used in this work. We infer the binary black hole merger rate, allowing for evolution with redshift, to be between 17.9 and 44 Gpc−3 yr−1 at a fiducial redshift (z=0.2). the rate of binary black hole mergers is observed to increase with redshift at a rate proportional to (1+z)κ with κ=2.9−1.8+1.7 for z≲1. Using both binary neutron star and neutron star–black hole binaries, we obtain a broad, relatively flat neutron star mass distribution extending from 1.2−0.2+0.1 to 2.0−0.3+0.3M⊙. We confidently determine that the merger rate as a function of mass sharply declines after the expected maximum neutron star mass, but cannot yet confirm or rule out the existence of a lower mass gap between neutron stars and black holes. We also find the binary black hole mass distribution has localized over- and underdensities relative to a power-law distribution, with peaks emerging at chirp masses of 8.3−0.5+0.3 and 27.9−1.8+1.9M⊙. While we continue to find that the mass distribution of a binary’s more massive component strongly decreases as a function of primary mass, we observe no evidence of a strongly suppressed merger rate above approximately 60M⊙, which would indicate the presence of a upper mass gap. Observed black hole spins are small, with half of spin magnitudes below χi≈0.25. While the majority of spins are preferentially aligned wi

关键词： Gravitational wave sources Gravitational waves Gravitational wave detection

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Measurement of the J/ψ photoproduction cross section over the full near-threshold kinematic region

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Physical Review C 2023年第2期108卷 025201-025201页

作者： s. Adhikari F. Afzal C. s. Akondi M. Albrecht M. Amaryan V. Arroyave A. Asaturyan A. Austregesilo Z. Baldwin F. Barbosa J. Barlow E. Barriga R. Barsotti t. D. Beattie V. V. Berdnikov t. Black W. Boeglin W. J. Briscoe t. Britton W. K. Brooks D. Byer E. Chudakov P. L. Cole O. Cortes V. Crede M. M. Dalton D. Darulis A. Deur s. Dobbs A. Dolgolenko R. Dotel M. Dugger R. Dzhygadlo D. Ebersole H. Egiyan t. Erbora P. Eugenio A. Fabrizi C. Fanelli s. Fang s. Fegan J. Fitches A. M. Foda s. Furletov L. Gan H. Gao A. Gardner A. Gasparian C. Gleason K. Goetzen V. s. Goryachev B. Grube J. Guo L. Guo t. J. Hague H. Hakobyan J. Hernandez N. D. Hoffman D. Hornidge G. Hou G. M. Huber P. Hurck A. Hurley W. imoehl D. G. ireland M. M. ito i. Jaegle N. s. Jarvis t. Jeske R. t. Jones V. Kakoyan G. Kalicy V. Khachatryan M. Khatchatryan C. Kourkoumelis A. LaDuke i. Larin D. Lawrence D. i. Lersch H. Li W. B. Li B. Liu K. Livingston G. J. Lolos L. Lorenti V. Lyubovitskij D. Mack A. Mahmood P. P. Martel H. Marukyan V. Matveev M. McCaughan M. McCracken C. A. Meyer R. Miskimen R. E. Mitchell K. Mizutani V. Neelamana L. Ng E. Nissen s. Orešić A. i. Ostrovidov Z. Papandreou C. Paudel R. Pedroni L. Pentchev K. J. Peters E. Prather s. Rakshit J. Reinhold A. Remington B. G. Ritchie J. Ritman G. Rodriguez D. Romanov K. saldana C. salgado s. schadmand A. M. schertz K. scheuer A. schick A. schmidt R. A. schumacher J. schwiening P. sharp X. shen M. R. shepherd A. smith E. s. smith D. i. sober s. somov A. somov J. R. stevens i. i. strakovsky B. sumner K. suresh V. V. tarasov s. taylor A. teymurazyan A. thiel t. Viducic t. Whitlatch N. Wickramaarachchi M. Williams Y. Wunderlich B. Yu J. Zarling Z. Zhang Z. Zhao X. Zhou J. Zhou B. Zihlmann Old Dominion University Norfolk Virginia 23529 USA Helmholtz-Institut für Strahlen- und Kernphysik Universität Bonn D-53115 Bonn Germany Florida State University Tallahassee Florida 32306 USA Thomas Jefferson National Accelerator Facility Newport News Virginia 23606 USA Florida International University Miami Florida 33199 USA University of North Carolina at Wilmington Wilmington North Carolina 28403 USA A. I. Alikhanian National Science Laboratory (Yerevan Physics Institute) 0036 Yerevan Armenia Carnegie Mellon University Pittsburgh Pennsylvania 15213 USA Indiana University Bloomington Indiana 47405 USA University of Regina Regina Saskatchewan S4S 0A2 Canada The Catholic University of America Washington D.C. 20064 USA The George Washington University Washington D.C. 20052 USA Universidad Técnica Federico Santa María Casilla 110-V Valparaíso Chile Duke University Durham North Carolina 27708 USA Lamar University Beaumont Texas 77710 USA University of Glasgow Glasgow G12 8QQ United Kingdom National Research Centre Kurchatov Institute Moscow 123182 Russia Arizona State University Tempe Arizona 85287 USA GSI Helmholtzzentrum für Schwerionenforschung GmbH D-64291 Darmstadt Germany University of Massachusetts Amherst Massachusetts 01003 USA William & Mary Williamsburg Virginia 23185 USA Institute of High Energy Physics Beijing 100049 People's Republic of China North Carolina A&T State University Greensboro North Carolina 27411 USA Union College Schenectady New York 12308 USA Mount Allison University Sackville New Brunswick E4L 1E6 Canada University of Connecticut Storrs Connecticut 06269 USA National and Kapodistrian University of Athens 15771 Athens Greece Tomsk State University 634050 Tomsk Russia Tomsk Polytechnic University 634050 Tomsk Russia Johannes Gutenberg-Universität Mainz 55128 Mainz Germany Washington & Jefferson College Washington Pennsylvania 15301 USA IKP Forschungszentrum Jülich D-52428 Jülich GmbH Germany National Rese

We report the total and differential cross sections for J/ψ photoproduction with the large acceptance GlueX spectrometer for photon beam energies from the threshold at 8.2 GeV up to 11.44 GeV and over the full kinematic range of momentum transfer squared, t. such coverage facilitates the extrapolation of the differential cross sections to the forward (t=0) point beyond the physical region. the forward cross section is used by many theoretical models and plays an important role in understanding J/ψ photoproduction and its relation to the J/ψ-proton interaction. these measurements of J/ψ photoproduction near threshold are also crucial inputs to theoretical models that are used to study important aspects of the gluon structure of the proton, such as the gluon generalized parton distribution of the proton, the mass radius of the proton, and the trace anomaly contribution to the proton mass. We observe possible structures in the total cross section energy dependence and find evidence for contributions beyond gluon exchange in the differential cross section close to threshold, both of which are consistent with contributions from open-charm intermediate states.

关键词： Photon & charged-lepton interactions with hadrons QCD in nuclear reactions Protons Quarkonia

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