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Naive Bayes as opinion classifier to evaluate students satisfaction based on student sentiment in Twitter Social Media

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Journal of Physics: Conference Series 2017年第1期893卷

作者： Fahmi Candra Permana Yusep Rosmansyah Atje Setiawan Abdullah Department of Computer Science Faculty of Mathematics and Natural Sciences Universitas Padjadjaran Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Indonesia

Students activity on social media can provide implicit knowledge and new perspectives for an educational system. Sentiment analysis is a part of text mining that can help to analyze and classify the opinion data. This research uses text mining and naive Bayes method as opinion classifier, to be used as an alternative methods in the process of evaluating studentss satisfaction for educational institution. Based on test results, this system can determine the opinion classification in Bahasa Indonesia using naive Bayes as opinion classifier with accuracy level of 84% correct, and the comparison between the existing system and the proposed system to evaluate students satisfaction in learning process, there is only a difference of 16.49%.

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Artificial vs. natural neural networks

Artificial vs. natural neural networks

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Seminar on Neural Network Applications in electrical engineering

作者： Dan L. Lacrama Loredana Ileana Viscu Cornelia Victoria Anghel Drugarin Computer Science Department at “Tibiscus” University of Timisoara Tibiscus University from Timisoara Electrical and Informatics Engineering Department Engineering and Management Faculty “Eftimie Murgu” of Resita University

ISBN: (纸本)9781509015313

This presentation debates over the similarities and differences between artificial neural networks (ANN) versus natural ones. The animal brain's substructures were the initial models for the synthetic neural nets, but during last decades neuropsychologists also learn an important knowledge from the ANN. Currently, engineers perform research to diversify network architectures and to develop new and more efficient learning strategies while medical doctors try to better understand the way human brain process information. The authors present also some thoughts about the perspectives for the ANN development linked to the growing demand for artificial intelligence in many human fields of activity.

关键词： Artificial neural networks NETWORK STRUCTURE Otolaryngologists Neural network Artificial Intelligence artificial Cerebrum Processing information Learning Strategies Learning methods Perspective

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Construction of 3D FDTD Schemes with Frequency-Dependent Operator Coefficients

Construction of 3D FDTD Schemes with Frequency-Dependent Ope...

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European Conference on Antennas and Propagation

作者： Theodoros Zygiridis Nikolaos Kantartzis Christos Antonopoulos Theodoros Tsiboukis Dept. of Informatics & Telecommunications Engineering Univ. of Western Macedonia Kozani Greece Dept.of Electrical & Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece

ISBN: (纸本)9781509022342

Aiming at the minimization of numerical dispersion effects in finite-difference time-domain (FDTD) simulations, we investigate the potential of introducing frequency-dependent coefficients in the approximations of differential operators. The proposed methodology exploits some previous results on optimized finite-differences, but initially avoids the necessity for selecting a specific optimization point. Herein, the operators' coefficient formulae are approximated by a low-order polynomial, which is transformed into a finite-difference counterpart using the Helmholtz equation. This modifies the initial spatial stencil and improves performance over all frequencies, which can be further controlled with the least-squares method, leading to various new FDTD schemes of augmented reliability.

关键词： Discretization error finite-difference timedomain (FDTD) methods numerical dispersion spatial operators

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Retraction: Sylabus and Matrials Design for Vocational Student and Its Dissemination Using Website (J. Phys.: Conf. Ser. 1114 012023)

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Journal of Physics: Conference Series 2018年第1期1114卷

作者： Astro Julida Harahap Ongko, Erianto Manurung, Hotler Kurnia, Dian Hartono, H Dahlan Abdullah Cut Ita Erliana Saddhono, Kundharu Rianita, Dian Setiawan, Muhammad Ikhsan Yuliyanto, Budi Setiawan Manurung, Rosida Tiurma Sriadhi, S Sinurat, Mangasi Siregar, Aisyah Rapat Piter Soni Hutauruk Sibarani, Nico Benjamain 1 Department of Informatics Akademi Teknologi Industri Immanuel Medan Indonesia Department of Computer Systems Universitas Pancabudi Medan Indonesia Department of Computer Science STMIK IBBI Medan Indonesia Department of Informatics Universitas Malikussaleh Aceh Indonesia Department of Industrial Engineering Universitas Malikussaleh Aceh Indonesia Graduate Program Universitas Sebelas Maret Surakarta Indonesia Department of Administration University of Lancang Kuning Pekanbaru Indonesia Department of Law Universitas Tompotika Luwuk Banggai Indonesia Study Program of Communication Studies Universitas Semarang Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia STIE Bina Karya Tebing Tinggi Indonesia

This paper was retracted by IOP Publishing on 12 December 2018. This paper was published due to a technical error and was not intended to be included in this journal.Retraction published: 8 February 2019

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Advances in quantum cryptography

arXiv

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arXiv 2019年

作者： Pirandola, S. Andersen, U.L. Banchi, L. Berta, M. Bunandar, D. Colbeck, R. Englund, D. Gehring, T. Lupo, C. Ottaviani, C. Pereira, J. Razavi, M. Shaari, J.S. Tomamichel, M. Usenko, V.C. Vallone, G. Villoresi, P. Wallden, P. Computer Science and York Centre for Quantum Technologies University of York YorkYO10 5GH United Kingdom CambridgeMA02139 United States Department of Physics Technical University of Denmark Fysikvej 2800 Kgs. Lyngby2800 Denmark I-50019 Italy Department of Computing Imperial College Kensington LondonSW7 2AZ United Kingdom Department of Mathematics University of York YorkYO10 5DD United Kingdom Department of Physics and Astronomy University of Sheffield SheffieldS3 7RH United Kingdom School of Electronic and Electrical Engineering University of Leeds LeedsLS2 9JT United Kingdom Jalan Sultan Ahmad Shah Kuantan Pahang25200 Malaysia University Putra Malaysia 43400 UPM Serdang Selangor Malaysia Centre for Quantum Software and Information School of Software University of Technology Sydney SydneyNSW2007 Australia Department of Optics Palacky University 17. listopadu 50 Olomouc772 07 Czech Republic Dipartimento di Ingegneria dell’Informazione Universitá degli Studi di Padova Via Gradenigo 6B Padova35131 Italy School of Informatics University of Edinburgh 10 Crichton Street EdinburghEH8 9AB United Kingdom

Quantum cryptography is arguably the fastest growing area in quantum information science. Novel theoretical protocols are designed on a regular basis, security proofs are constantly improving, and experiments are gradually moving from proof-of-principle lab demonstrations to in-field implementations and technological prototypes. In this review, we provide both a general introduction and a state of the art description of the recent advances in the field, both theoretically and experimentally. We start by reviewing protocols of quantum key distribution based on discrete variable systems. Next we consider aspects of device independence, satellite challenges, and high rate protocols based on continuous variable systems. We will then discuss the ultimate limits of point-to-point private communications and how quantum repeaters and networks may overcome these restrictions. Finally, we will discuss some aspects of quantum cryptography beyond standard quantum key distribution, including quantum data locking and quantum digital signatures. Copyright © 2019, The Authors. All rights reserved.

关键词： Quantum cryptography

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Search for the Z Boson Decay to ττμμ in Proton-Proton Collisions at s=13 TeV

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Physical Review Letters 2024年第16期133卷 161805页

作者： A. Hayrapetyan A. Tumasyan W. Adam J. W. Andrejkovic T. Bergauer S. Chatterjee K. Damanakis M. Dragicevic P. S. Hussain M. Jeitler N. Krammer A. Li D. Liko I. Mikulec J. Schieck R. Schöfbeck D. Schwarz M. Sonawane S. Templ W. Waltenberger C.-E. Wulz M. R. Darwish T. Janssen P. Van Mechelen N. Breugelmans J. D’Hondt S. Dansana A. De Moor M. Delcourt F. Heyen S. Lowette I. Makarenko D. Müller S. Tavernier M. Tytgat G. P. Van Onsem S. Van Putte D. Vannerom B. Clerbaux A. K. Das G. De Lentdecker H. Evard L. Favart P. Gianneios D. Hohov J. Jaramillo A. Khalilzadeh F. A. Khan K. Lee M. Mahdavikhorrami A. Malara S. Paredes L. Thomas M. Vanden Bemden C. Vander Velde P. Vanlaer M. De Coen D. Dobur G. Gokbulut Y. Hong J. Knolle L. Lambrecht D. Marckx G. Mestdach K. Mota Amarilo C. Rendón A. Samalan K. Skovpen N. Van Den Bossche J. van der Linden L. Wezenbeek A. Benecke A. Bethani G. Bruno C. Caputo J. De Favereau De Jeneret C. Delaere I. S. Donertas A. Giammanco A. O. Guzel Sa. Jain V. Lemaitre J. Lidrych P. Mastrapasqua T. T. Tran S. Wertz G. A. Alves E. Coelho C. Hensel T. Menezes De Oliveira A. Moraes P. Rebello Teles M. Soeiro A. Vilela Pereira W. L. Aldá Júnior M. Alves Gallo Pereira M. Barroso Ferreira Filho H. Brandao Malbouisson W. Carvalho J. Chinellato E. M. Da Costa G. G. Da Silveira D. De Jesus Damiao S. Fonseca De Souza R. Gomes De Souza M. Macedo J. Martins C. Mora Herrera L. Mundim H. Nogima J. P. Pinheiro A. Santoro A. Sznajder M. Thiel C. A. Bernardes L. Calligaris T. R. Fernandez Perez Tomei E. M. Gregores I. Maietto Silverio P. G. Mercadante S. F. Novaes B. Orzari Sandra S. Padula A. Aleksandrov G. Antchev R. Hadjiiska P. Iaydjiev M. Misheva M. Shopova G. Sultanov A. Dimitrov L. Litov B. Pavlov P. Petkov A. Petrov E. Shumka S. Keshri S. Thakur T. Cheng T. Javaid L. Yuan Z. Hu Z. Liang J. Liu K. Yi G. M. Chen H. S. Chen M. Chen F. Iemmi C. H. Jiang A. Kapoor H. Liao Z.-A. Liu M. A. Shahzad R. Sharma J. N. Song J. Tao C. Wang J. Wang Z. Wang H. Zhang J. Zhao A. Agapitos Y. Ban S. Deng B. Guo C. Jiang A. Le Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Vienna Austria Indian Institute of Technology Madras Madras India Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Université Libre de Bruxelles Bruxelles Belgium Korea University Seoul Korea Ghent University Ghent 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 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 Casilla 7 D Arica Chile Beihang University Beijing China Department of Physics Tsinghua University Beijing China Institute of High Energy Physics Beijing China California Institute of Technology Pasadena California USA University of Florida Gainesville Florida USA Massachusetts Institute of Technology Cambridge Massachusetts USA State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Deutsches Elektronen-Synchrotron Hamburg Germany Kyung Hee University Department of Physics Seoul Korea Sun Yat-Sen University Guangzhou China University of Science and Technology of China Hefei China Nanjing Normal University Nanjing China Florida State University Tallahassee Florida USA Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) - Fudan University Shanghai China Zhejiang University Hangzhou Zhejiang China Universidad de Los Andes Bogota Colombia Universidad de Antioquia Medellin Colombia University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia University of Split Faculty of Science Split Croatia Institute Rudjer Boskovic Zagreb Croatia University of

The first search for the Z boson decay to ττμμ at the CERN LHC is presented, based on data collected by the CMS experiment at the LHC in proton-proton collisions at a center-of-mass energy of 13 TeV and corresponding to an integrated luminosity of 138 fb−1. The data are compatible with the predicted background. For the first time, an upper limit at the 95% confidence level of 6.9 times the standard model expectation is placed on the ratio of the Z→ττμμ to Z→4μ branching fractions. Limits are also placed on the six flavor-conserving four-lepton effective-field-theory operators involving two muons and two tau leptons, for the first time testing all such operators.

关键词： Muons Tau leptons W & Z bosons Hadron colliders

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arXiv

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arXiv 2017年

作者： Surya Prasath, V.B. Abu Alfeilat, Haneen Arafat Lasassmeh, Omar Hassanat, Ahmad B.A. Tarawneh, Ahmad S. Division of Biomedical Informatics Cincinnati Children’s Hospital Medical Center OH45229 United States Department of Pediatrics University of Cincinnati College of Medicine CincinnatiOH United States Department of Biomedical Informatics College of Medicine University of Cincinnati OH45267 United States Department of Electrical Engineering and Computer Science University of Cincinnati OH45221 United States Department of Information Technology Mutah University Karak Jordan Department of Algorithm and Their Applications Etvs Lornd University Budapest Hungary

The K-nearest neighbor (KNN) classifier is one of the simplest and most common classifiers, yet its performance competes with the most complex classifiers in the literature. The core of this classifier depends mainly on measuring the distance or similarity between the tested examples and the training examples. This raises a major question about which distance measures to be used for the KNN classifier among a large number of distance and similarity measures available? This review attempts to answer this question through evaluating the performance (measured by accuracy, precision and recall) of the KNN using a large number of distance measures, tested on a number of real-world datasets, with and without adding different levels of noise. The experimental results show that the performance of KNN classifier depends significantly on the distance used, and the results showed large gaps between the performances of different distances. We found that a recently proposed non-convex distance performed the best when applied on most datasets comparing to the other tested distances. In addition, the performance of the KNN with this top performing distance degraded only about 20% while the noise level reaches 90%, this is true for most of the distances used as well. This means that the KNN classifier using any of the top 10 distances tolerate noise to a certain degree. Moreover, the results show that some distances are less affected by the added noise comparing to other distances. Copyright © 2017, The Authors. All rights reserved.

关键词： Machine learning

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Low Cost Optical Sensing Device for Fuel Detection in Ships

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Journal of engineering Science and Technology Review 2016年第2期9卷 47-49页

作者： Papadopoulou, P. Magafas, L. Agelopoulos, P. Vordos, N. Vlachos, K. Electrical Engineering Department Eastern Macedonia and Thrace Institute of Technology St. Lucas Kavala65404 Greece Computer Engineering and Informatics Department University of Patras Rio PatraGR26500 Greece

In the present work the development of a new, very low cost, simple to manufacture and use, optical sensing device forremote, on line detection of the type of fuels used in ships, is presented. The main goal of this optical sensing device is theon line detection of the fuel optical absorption that is used by the ship. The basic operating principle of the proposed sensoris based on different absorption in the range of visible spectrum between bunker diesel and fuel oil. Experimentalmeasurements, using monochromatic laser light or white led light, have shown that the proposed sensor can distinguishvery accurately the difference between the two types of oil, giving the advantage to detect the type of fuel. © 2016 Eastern Macedonia and Thrace Institute of Technology.

关键词： Fuels

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Measurement of Energy Correlators inside Jets and Determination of the Strong Coupling αS(mZ)

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Physical Review Letters 2024年第7期133卷 071903-071903页

作者： A. Hayrapetyan A. Tumasyan W. Adam J. W. Andrejkovic T. Bergauer S. Chatterjee K. Damanakis M. Dragicevic P. S. Hussain M. Jeitler N. Krammer A. Li D. Liko I. Mikulec J. Schieck R. Schöfbeck D. Schwarz M. Sonawane S. Templ W. Waltenberger C.-E. Wulz M. R. Darwish T. Janssen P. Van Mechelen E. S. Bols J. D’Hondt S. Dansana A. De Moor M. Delcourt H. El Faham S. Lowette I. Makarenko D. Müller A. R. Sahasransu S. Tavernier M. Tytgat G. P. Van Onsem S. Van Putte D. Vannerom B. Clerbaux A. K. Das G. De Lentdecker L. Favart P. Gianneios D. Hohov J. Jaramillo A. Khalilzadeh F. A. Khan K. Lee M. Mahdavikhorrami A. Malara S. Paredes L. Thomas M. Vanden Bemden C. Vander Velde P. Vanlaer M. De Coen D. Dobur Y. Hong J. Knolle L. Lambrecht G. Mestdach K. Mota Amarilo C. Rendón A. Samalan K. Skovpen N. Van Den Bossche J. van der Linden L. Wezenbeek A. Benecke A. Bethani G. Bruno C. Caputo C. Delaere I. S. Donertas A. Giammanco K. Jaffel Sa. Jain V. Lemaitre J. Lidrych P. Mastrapasqua K. Mondal T. T. Tran S. Wertz G. A. Alves E. Coelho C. Hensel T. Menezes De Oliveira A. Moraes P. Rebello Teles M. Soeiro W. L. Aldá Júnior M. Alves Gallo Pereira M. Barroso Ferreira Filho H. Brandao Malbouisson W. Carvalho J. Chinellato E. M. Da Costa G. G. Da Silveira D. De Jesus Damiao S. Fonseca De Souza R. Gomes De Souza J. Martins C. Mora Herrera L. Mundim H. Nogima J. P. Pinheiro A. Santoro A. Sznajder M. Thiel A. Vilela Pereira C. A. Bernardes L. Calligaris T. R. Fernandez Perez Tomei E. M. Gregores P. G. Mercadante S. F. Novaes B. Orzari Sandra S. Padula A. Aleksandrov G. Antchev R. Hadjiiska P. Iaydjiev M. Misheva M. Shopova G. Sultanov A. Dimitrov L. Litov B. Pavlov P. Petkov A. Petrov E. Shumka S. Keshri S. Thakur T. Cheng T. Javaid L. Yuan Z. Hu J. Liu K. Yi G. M. Chen H. S. Chen M. Chen F. Iemmi C. H. Jiang A. Kapoor H. Liao Z.-A. Liu R. Sharma J. N. Song J. Tao C. Wang J. Wang Z. Wang H. Zhang A. Agapitos Y. Ban A. Levin C. Li Q. Li Y. Mao S. J. Qian X. Sun D. Wang H. Yang L. Zhang C. Zhou Z. You N. Lu G. Bauer X. Gao D. Leggat H. Ok Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Vienna Austria Indian Institute of Technology Madras Madras India Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Université Libre de Bruxelles Bruxelles Belgium Korea University Seoul Korea Ghent University Ghent 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 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 Casilla 7 D Arica Chile Beihang University Beijing China Department of Physics Tsinghua University Beijing China Institute of High Energy Physics Beijing China California Institute of Technology Pasadena California USA University of Florida Gainesville Florida USA Massachusetts Institute of Technology Cambridge Massachusetts USA State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Sun Yat-Sen University Guangzhou China University of Science and Technology of China Hefei China Nanjing Normal University Nanjing China Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) - Fudan University Shanghai China Zhejiang University Hangzhou Zhejiang China Universidad de Los Andes Bogota Colombia Universidad de Antioquia Medellin Colombia University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia University of Split Faculty of Science Split Croatia Institute Rudjer Boskovic Zagreb Croatia University of Cyprus Nicosia Cyprus Charles University Prague Czech Republic Escuela Politecnica Nacional Quito Ecuador Universidad San Francisco de Quito Quito Ecuad

Energy correlators that describe energy-weighted distances between two or three particles in a hadronic jet are measured using an event sample of s=13 TeV proton-proton collisions collected by the CMS experiment and corresponding to an integrated luminosity of 36.3 fb−1. The measured distributions are consistent with the trends in the simulation that reveal two key features of the strong interaction: confinement and asymptotic freedom. By comparing the ratio of the measured three- and two-particle energy correlator distributions with theoretical calculations that resum collinear emissions at approximate next-to-next-to-leading-logarithmic accuracy matched to a next-to-leading-order calculation, the strong coupling is determined at the Z boson mass: αS(mZ)=0.1229−0.0050+0.0040, the most precise αS(mZ) value obtained using jet substructure observables.

关键词： Quark & gluon jets Strong interaction Hadron colliders

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Search for Baryon Number Violation in Top Quark Production and Decay Using Proton-Proton Collisions at s=13 TeV

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Physical Review Letters 2024年第24期132卷 241802-241802页

作者： A. Hayrapetyan A. Tumasyan W. Adam J. W. Andrejkovic T. Bergauer S. Chatterjee K. Damanakis M. Dragicevic P. S. Hussain M. Jeitler N. Krammer A. Li D. Liko I. Mikulec J. Schieck R. Schöfbeck D. Schwarz M. Sonawane S. Templ W. Waltenberger C.-E. Wulz M. R. Darwish T. Janssen P. Van Mechelen E. S. Bols J. D’Hondt S. Dansana A. De Moor M. Delcourt S. Lowette I. Makarenko D. Müller S. Tavernier M. Tytgat G. P. Van Onsem S. Van Putte D. Vannerom B. Clerbaux A. K. Das G. De Lentdecker H. Evard L. Favart P. Gianneios D. Hohov J. Jaramillo A. Khalilzadeh F. A. Khan K. Lee M. Mahdavikhorrami A. Malara S. Paredes L. Thomas M. Vanden Bemden C. Vander Velde P. Vanlaer M. De Coen D. Dobur Y. Hong J. Knolle L. Lambrecht G. Mestdach K. Mota Amarilo C. Rendón A. Samalan K. Skovpen N. Van Den Bossche J. van der Linden L. Wezenbeek A. Benecke A. Bethani G. Bruno C. Caputo C. Delaere I. S. Donertas A. Giammanco Sa. Jain V. Lemaitre J. Lidrych P. Mastrapasqua T. T. Tran S. Wertz G. A. Alves E. Coelho C. Hensel T. Menezes De Oliveira A. Moraes P. Rebello Teles M. Soeiro W. L. Aldá Júnior M. Alves Gallo Pereira M. Barroso Ferreira Filho H. Brandao Malbouisson W. Carvalho J. Chinellato E. M. Da Costa G. G. Da Silveira D. De Jesus Damiao S. Fonseca De Souza R. Gomes De Souza J. Martins C. Mora Herrera L. Mundim H. Nogima J. P. Pinheiro A. Santoro A. Sznajder M. Thiel A. Vilela Pereira C. A. Bernardes L. Calligaris T. R. Fernandez Perez Tomei E. M. Gregores P. G. Mercadante S. F. Novaes B. Orzari Sandra S. Padula A. Aleksandrov G. Antchev R. Hadjiiska P. Iaydjiev M. Misheva M. Shopova G. Sultanov A. Dimitrov L. Litov B. Pavlov P. Petkov A. Petrov E. Shumka S. Keshri S. Thakur T. Cheng T. Javaid L. Yuan Z. Hu J. Liu K. Yi G. M. Chen H. S. Chen M. Chen F. Iemmi C. H. Jiang A. Kapoor H. Liao Z.-A. Liu R. Sharma J. N. Song J. Tao C. Wang J. Wang Z. Wang H. Zhang A. Agapitos Y. Ban A. Levin C. Li Q. Li Y. Mao S. J. Qian X. Sun D. Wang H. Yang L. Zhang C. Zhou Z. You K. Jaffel N. Lu G. Bauer X. Gao Z. Lin C. Lu M. Xiao C. Avila D. A. Barbosa T Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Vienna Austria Indian Institute of Technology Madras Madras India Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Université Libre de Bruxelles Bruxelles Belgium Korea University Seoul Korea Ghent University Ghent 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 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 Casilla 7 D Arica Chile Beihang University Beijing China Department of Physics Tsinghua University Beijing China Institute of High Energy Physics Beijing China California Institute of Technology Pasadena California USA University of Florida Gainesville Florida USA Massachusetts Institute of Technology Cambridge Massachusetts USA State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Sun Yat-Sen University Guangzhou China University of Science and Technology of China Hefei China Nanjing Normal University Nanjing China Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) - Fudan University Shanghai China Zhejiang University Hangzhou Zhejiang China Universidad de Los Andes Bogota Colombia Universidad de Antioquia Medellin Colombia University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia University of Split Faculty of Science Split Croatia Institute Rudjer Boskovic Zagreb Croatia University of Cyprus Nicosia Cyprus Charles University Prague Czech Republic Escuela Politecnica Nacional Quito Ecuador Universidad San Francisco de Quito Quito Ecuad

A search is presented for baryon number violating interactions in top quark production and decay. The analysis uses data from proton-proton collisions at a center-of-mass energy of 13 TeV, collected with the CMS detector at the LHC with an integrated luminosity of 138 fb−1. Candidate events are selected by requiring two oppositely charged leptons (electrons or muons) and exactly one jet identified as originating from a bottom quark. Multivariate discriminants are used to separate the signal from the background. No significant deviation from the standard model prediction is observed. Upper limits are placed on the strength of baryon number violating couplings. For the first time the production of single top quarks via baryon number violating interactions is studied. This allows the search to set the most stringent constraints to date on the branching fraction of the top quark decay to a lepton, an up-type quark (u or c), and a down-type quark (d, s, or b). The results improve the previous bounds by 3 to 6 orders of magnitude based on the fermion flavor combination of the baryon number violating interactions.

关键词： Effective field theory Hypothetical particle physics models Top quark Baryon & lepton number symmetries Hadron colliders

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