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IET International Conference on information and Communications Technologies, IETICT 2013

作者： Qu, Z.G. Niu, X.X. Deng, J. McArdle, C. Wang, X.J. Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 China School of Computer and Software Nanjing University of Information Science and Technology Nanjing 210044 China School of Electronic Engineering Dublin City University Dublin Ireland Key Laboratory of Network and Information Attack and Defence Technology of MOE Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9781849196536

During the past decade, stream data mining has been attracting widespread attentions of the experts and the researchers all over the world and a large number of interesting research results have been achieved. Among them, frequent itemset mining is one of main research branches of stream data mining with a fundamental and significant position. In order to further advance and develop the research of frequent itemset mining, this paper summarizes its main challenges and corresponding algorithm features. Based on them, current related results are divided into two categories: data-based algorithms and task-based algorithms. According to its taxonomy, the related methods belonging to the different categories and sub-categories are comprehensively introduced for better understanding. Finally, a brief conclusion is given.

关键词： Data mining

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H_∞ filtering for discrete-time stochastic systems with nonlinear sensor and time-varying delay

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International Journal of Stochastic Analysis 2013年第1期2013卷 306707-1-306707-9页

作者： Hua, Mingang Cheng, Pei Fei, Juntao Zhang, Jianyong Chen, Junfeng College of Computer and Information Hohai University Changzhou 213022 China Changzhou Key Laboratory of Sensor Networks and Environmental Sensing Changzhou 213022 China Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology Changzhou 213022 China School of Mathematical Sciences Anhui University Hefei 230601 China Department of Mathematics and Physics Hohai University Changzhou 213022 China

The H∞ filtering problem for a class of discrete-time stochastic systems with nonlinear sensor and time-varying delay is investigated. By using the Lyapunov stability theory, sufficient conditions are proposed to guarantee the asymptotical stablity with an prescribe H∞ performance level of the filtering error systems. These conditions are dependent on the lower and upper bounds of the discrete time-varying delays and are obtained in terms of a linear matrix inequality (LMI). Finally, two numerical examples are provided to illustrate the effectiveness of the proposed methods. © 2013 Mingang Hua et al.

关键词： Systems methods effectiveness

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A novel neural network classification model based on covering and Affinity Propagation clustering algorithm

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Journal of Computational information Systems 2013年第7期9卷 2565-2573页

作者： Li, Hui Ding, Shifei School of Computer Science and Technology China University of Mining and Technology Xuzhou 221116 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Jiangsu Normal University Xuzhou 221116 China

Affinity Propagation (AP) algorithm can automatically determine the cluster center and does not need a pre-determined number of clustering. This paper presents a novel neural network classification model, using AP clustering method as a pre-processor to cluster high dimensional massive data samples, and combining covering algorithm to automatically determine the center of the covering, and calculating its radius, and then converting these parameters into the weights and thresholds of the hidden layer of classification neural network. The number of hidden layer neurons is the number of covering. The output layer is the M-P neuron layer. By evaluating the input feature of hidden layer to complete the mapping from covering to the output, and gain the corresponding output category of the input feature. Simulation results show that our proposed neural network classification model can get better performance. Copyright © 2013 Binary information Press.

关键词： Clustering algorithms

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Geographic multipath routing in duty-cycled wireless sensor networks with energy harvesting

Geographic multipath routing in duty-cycled wireless sensor ...

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2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013

作者： Han, Guangjie Dong, Yuhui Shu, Lei Guo, Hui Niu, Jianwei Nantong Ocean and Coastal Engineering Research Institute Hohai University China Key Laboratory of Sensor Networks and Environmental Sensing Changzhou China Department of Information and Communication Engineering Hohai University Changzhou China Patent Examination Cooperation Center SIPO Jiangsu China College of Electronic Information and Computer Guangdong University of Petrochemical Technology China School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9780769550466

With developments of energy harvesting technolo-gies, rechargeable Wireless Sensor Networks (WSNs) are in-creasing. This paper introduces the energy renewable property and further proposes a novel 2-hop geographic node-disjoint multi-path routing algorithm TPGFPlus in energy consumption balanced duty-cycled WSNs. In our TPGFPlus, a forwarding node selects its next-hop node which is closest to the based station among all its 1-hop and 2-hop neighbor nodes. Moreover, to prolong network lifetime, not all the nodes are awake for sensing and communication in our work since a sleep scheduling algorithm (EC-CKN) is applied to make the network be duty-cycled. We further evaluate the performance of TPGFPlus algorithm under three different forwarding policies, to meet different application requirements. Analysis and simulation results show that TPGFPlus out-performs previous algorithm TPGF on finding more average number of paths and shorter average length of paths, yet without causing additional energy consumption. We also validate different forwarding policies that bring distinct performance improvements. © 2013 IEEE.

关键词： Energy harvesting

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Moving vehicle detection and tracking in traffic images based on horizontal edges

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Telkomnika - Indonesian Journal of Electrical Engineering 2013年第11期11卷 6477-6483页

作者： Zhu, Hongjin Fan, Honghui Guo, Shuqiang School of Computer Engineering Jiangsu University of Technology Changzhou 213001 Jiangsu China Key Laboratory of Cloud Computing Intelligent Information Processing of Changzhou City China School of Information Engineering Northeast Dianli University Jilin 132012 Jilin China

This paper presents a moving vehicle detection and tracking system, which comprising of Horizontal Edges method and Local Auto Correlation. Horizontal Edges characteristic can be strengthened and the influence of weather condition is reduced by using Local Auto Correlation, so the detection rate of extracting and tracking moving vehicles with horizontal edge can be raised. Local Auto Correlation images are generated for vehicle detection and based on Horizontal Edges method. The distance of the gravity center of Horizontal Edges is used to track vehicles in traffic video. We verify the system using a variety of weather (in fog, car shadow existence, morning and evening) traffic video. Experimental results have shown that the high detection rate of moving vehicles be obtained by using the proposed method. © 2013 Universitas Ahmad Dahlan.

关键词： Tracking (position)

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Near Optimal Charging and Scheduling Scheme for Stochastic Event Capture with Rechargeable Sensors

Near Optimal Charging and Scheduling Scheme for Stochastic E...

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IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS)

作者： Haipeng Dai Lintong Jiang Xiaobing Wu David K.Y. Yau Guihai Chen Shaojie Tang State Key Laboratory for Novel Software Technology Nanjing University Nanjing Jiangsu CHINA Department of Computer Science Purdue University West Lafayette IN USA Department of Computer and Information Science Temple University Philadelphia USA

Though much existing work exploits wireless power charging to enhance sensor network performance such as routing and data aggregation, few efforts focus on issues of stochastic event capture. In this paper, we consider the scenario in which a mobile charger (MC) periodically travels within a sensor network to recharge the sensors wirelessly, to maximize the Quality of Monitoring (QoM) for stochastic events. Towards this goal, two closely related research issues need to be addressed. One is how to choose the sensors for charging and decide the charging time for each of them, the other is how to best schedule the sensors' activation schedules according to their received energy. In this paper, we jointly design the charging scheme and sensor schedules to maximize the QoM. We formulate our problem formally as the maximum QoM charging and scheduling problem (MQCSP). Obtaining an exact solution of MQCSP is challenging. Thus we first ignore the MC's travel time and study the resulting relaxed version of MQCSP, R-MQCSP. We show both MQCSP and R-MQCSP are NP-hard. For R-MQCSP, however, under a special condition, we prove that it can be formulated as a sub modular function maximization problem. This formulation allows a 1/6-approximation algorithm for the general case, and a unified algorithm with a series of approximation factors (up to 1-1/e) for a special case. Then, for MQCSP, we propose approximation algorithms by extending our R-MQCSP results. Finally, we conduct extensive trace-driven simulations to validate our algorithm design. The empirical results corroborate our theoretical analysis.

关键词： Schedules Silicon Approximation methods Time factors Approximation algorithms Monitoring Wireless sensor networks

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A pragmatic method for Chinese collocation extraction

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ICIC Express Letters, Part B: Applications 2013年第5期4卷 1417-1423页

作者： Qu, Weiguang Zhou, Junsheng Tang, Xuri Gu, Yanhui Li, Bin Jiangsu Research Center of Information Security and Privacy Technology Nanjing Normal University No. 1 Wenyuan Road Nanjing 210023 China School of Computer Science and Technology Nanjing Normal University No. 1 Wenyuan Road Nanjing 210023 China State Key Laboratory for Novel Software Technology Nanjing University No. 163 Xianlin Ave. Qixia District Nanjing 210046 China College of Foreign Studies Wuhan Textile University No. 1 Fangzhi Road Wuhan 430073 China School of Chinese Language and Literature Nanjing Normal University No. 122 Ninghai Road Nanjing 210097 China

This paper proposes a seed-based approach for collocation extraction. The approach uses RFR_SUM model to iteratively classify polysemous word senses in the corpus. The syntactic relation inside collocations is captured via a frame-based collocation extraction method, which uses word-related frames to automatically obtain collocation with structural information from large-scale corpus. Case study shows that the framework is feasible to collocation extraction. © 2013 ISSN 2185-2766.

关键词： Iterative methods

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Measurement of the ZZ Production Cross Section in pp Collisions at s=13 TeV with the ATLAS Detector

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Physical Review Letters 2016年第10期116卷 101801-101801页

作者： G. Aad B. Abbott J. Abdallah O. Abdinov B. Abeloos R. Aben M. Abolins O. S. AbouZeid H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya L. Adamczyk D. L. Adams J. Adelman S. Adomeit T. Adye A. A. Affolder T. Agatonovic-Jovin J. Agricola J. A. Aguilar-Saavedra S. P. Ahlen F. Ahmadov G. Aielli H. Akerstedt T. P. A. Åkesson A. V. Akimov G. L. Alberghi J. Albert S. Albrand M. J. Alconada Verzini M. Aleksa I. N. Aleksandrov C. Alexa G. Alexander T. Alexopoulos M. Alhroob G. Alimonti L. Alio J. Alison S. P. Alkire B. M. M. Allbrooke B. W. Allen P. P. Allport A. Aloisio A. Alonso F. Alonso C. Alpigiani B. Alvarez Gonzalez D. Álvarez Piqueras M. G. Alviggi B. T. Amadio K. Amako Y. Amaral Coutinho C. Amelung D. Amidei S. P. Amor Dos Santos A. Amorim S. Amoroso N. Amram G. Amundsen C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders J. K. Anders K. J. Anderson A. Andreazza V. Andrei S. Angelidakis I. Angelozzi P. Anger A. Angerami F. Anghinolfi A. V. Anisenkov N. Anjos A. Annovi M. Antonelli A. Antonov J. Antos F. Anulli M. Aoki L. Aperio Bella G. Arabidze Y. Arai J. P. Araque A. T. H. Arce F. A. Arduh J-F. Arguin S. Argyropoulos M. Arik A. J. Armbruster L. J. Armitage O. Arnaez H. Arnold M. Arratia O. Arslan A. Artamonov G. Artoni S. Artz S. Asai N. Asbah A. Ashkenazi B. Åsman L. Asquith K. Assamagan R. Astalos M. Atkinson N. B. Atlay K. Augsten G. Avolio B. Axen M. K. Ayoub G. Azuelos M. A. Baak A. E. Baas M. J. Baca H. Bachacou K. Bachas M. Backes M. Backhaus P. Bagiacchi P. Bagnaia Y. Bai J. T. Baines O. K. Baker E. M. Baldin P. Balek T. Balestri F. Balli W. K. Balunas E. Banas Sw. Banerjee A. A. E. Bannoura L. Barak E. L. Barberio D. Barberis M. Barbero T. Barillari M. Barisonzi T. Barklow N. Barlow S. L. Barnes B. M. Barnett R. M. Barnett Z. Barnovska A. Baroncelli G. Barone A. J. Barr L. Barranco Navarro F. Barreiro J. Barreiro Guimarães da Costa R. Bartoldus A. E. Barton P. Bartos A. Basalaev A. Bassalat A. Basye R. L. Bates S. J. Batista J. R. Batley M. Battaglia M. Bauce F. Bauer H. S. Ba CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA Institute of Physics Academia Sinica Taipei Taiwan Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam The Netherlands Department of Physics and Astronomy Michigan State University East Lansing Michigan USA Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz California USA Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel Center for High Energy Physics University of Oregon Eugene Oregon USA Department of Physics Stockholm University Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Northern Illinois University DeKalb Illinois USA Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Oliver Lodge Laboratory University of Liverpool Liverpool United Kingdom Institute of Physics University of Belgrade Belgrade Serbia II Physikalisches Institut Georg-August-Universität Göttingen Germany Laboratório de Instrumentação e Física Experimental de Partículas—LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Department of Physics Boston University Boston Massachusetts USA Joint Institute for Nuclear Research JINR Dubna Dubna Russia INFN Sez

The ZZ production cross section in proton-proton collisions at 13 TeV center-of-mass energy is measured using 3.2 fb−1 of data recorded with the ATLAS detector at the Large Hadron Collider. The considered Z boson candidates decay to an electron or muon pair of mass 66–116 GeV. The cross section is measured in a fiducial phase space reflecting the detector acceptance. It is also extrapolated to a total phase space for Z bosons in the same mass range and of all decay modes, giving 16.7−2.0+2.2(stat)+0.9−0.7(syst)+1.0−0.7(lumi) pb. The results agree with standard model predictions.

关键词： Electroweak interaction Particle production W & Z bosons Hadron colliders Multi-purpose particle detectors

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Measurement of the Inelastic Proton-Proton Cross Section at s=13 TeV with the ATLAS Detector at the LHC

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Physical Review Letters 2016年第18期117卷 182002-182002页

作者： M. Aaboud G. Aad B. Abbott J. Abdallah O. Abdinov B. Abeloos R. Aben O. S. AbouZeid N. L. Abraham H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya L. Adamczyk D. L. Adams J. Adelman S. Adomeit T. Adye A. A. Affolder T. Agatonovic-Jovin J. Agricola J. A. Aguilar-Saavedra S. P. Ahlen F. Ahmadov G. Aielli H. Akerstedt T. P. A. Åkesson A. V. Akimov G. L. Alberghi J. Albert S. Albrand M. J. Alconada Verzini M. Aleksa I. N. Aleksandrov C. Alexa G. Alexander T. Alexopoulos M. Alhroob B. Ali M. Aliev G. Alimonti J. Alison S. P. Alkire B. M. M. Allbrooke B. W. Allen P. P. Allport A. Aloisio A. Alonso F. Alonso C. Alpigiani M. Alstaty B. Alvarez Gonzalez D. Álvarez Piqueras M. G. Alviggi B. T. Amadio K. Amako Y. Amaral Coutinho C. Amelung D. Amidei S. P. Amor Dos Santos A. Amorim S. Amoroso G. Amundsen C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders J. K. Anders K. J. Anderson A. Andreazza V. Andrei S. Angelidakis I. Angelozzi P. Anger A. Angerami F. Anghinolfi A. V. Anisenkov N. Anjos A. Annovi C. Antel M. Antonelli A. Antonov F. Anulli M. Aoki L. Aperio Bella G. Arabidze Y. Arai J. P. Araque A. T. H. Arce F. A. Arduh J-F. Arguin S. Argyropoulos M. Arik A. J. Armbruster L. J. Armitage O. Arnaez H. Arnold M. Arratia O. Arslan A. Artamonov G. Artoni S. Artz S. Asai N. Asbah A. Ashkenazi B. Åsman L. Asquith K. Assamagan R. Astalos M. Atkinson N. B. Atlay K. Augsten G. Avolio B. Axen M. K. Ayoub G. Azuelos M. A. Baak A. E. Baas M. J. Baca H. Bachacou K. Bachas M. Backes M. Backhaus P. Bagiacchi P. Bagnaia Y. Bai J. T. Baines O. K. Baker E. M. Baldin P. Balek T. Balestri F. Balli W. K. Balunas E. Banas Sw. Banerjee A. A. E. Bannoura L. Barak E. L. Barberio D. Barberis M. Barbero T. Barillari M-S Barisits T. Barklow N. Barlow S. L. Barnes B. M. Barnett R. M. Barnett Z. Barnovska A. Baroncelli G. Barone A. J. Barr L. Barranco Navarro F. Barreiro J. Barreiro Guimarães da Costa R. Bartoldus A. E. Barton P. Bartos A. Basalaev A. Bassalat R. L. Bates S. J. Batista J. R. Batley M. Battaglia M. Bauce F. Faculté des Sciences Université Mohamed Premier and LPTPM Oujda Morocco CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA University of Iowa Iowa City Iowa USA Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam Netherlands Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz California USA Department of Physics and Astronomy University of Sussex Brighton United Kingdom Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel Center for High Energy Physics University of Oregon Eugene Oregon USA Department of Physics Stockholm University Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Northern Illinois University DeKalb Illinois USA Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Oliver Lodge Laboratory University of Liverpool Liverpool United Kingdom Institute of Physics University of Belgrade Belgrade Serbia II Physikalisches Institut Georg-August-Universität Göttingen Germany Laboratório de Instrumentação e Física Experimental de Partículas—LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Department of Physics Boston University Boston Massachusetts USA Joint Institute for Nu

This Letter presents a measurement of the inelastic proton-proton cross section using 60 μb−1 of pp collisions at a center-of-mass energy s of 13 TeV with the ATLAS detector at the LHC. Inelastic interactions are selected using rings of plastic scintillators in the forward region (2.07<|η|<3.86) of the detector. A cross section of 68.1±1.4 mb is measured in the fiducial region ξ=MX2/s>10−6, where MX is the larger invariant mass of the two hadronic systems separated by the largest rapidity gap in the event. In this ξ range the scintillators are highly efficient. For diffractive events this corresponds to cases where at least one proton dissociates to a system with MX>13 GeV. The measured cross section is compared with a range of theoretical predictions. When extrapolated to the full phase space, a cross section of 78.1±2.9 mb is measured, consistent with the inelastic cross section increasing with center-of-mass energy.

关键词： Particle interactions Particle production Quark & gluon jets Hadron colliders

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Search for Higgs and Z Boson Decays to ϕγ with the ATLAS Detector

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Physical Review Letters 2016年第11期117卷 111802-111802页

作者： M. Aaboud G. Aad B. Abbott J. Abdallah O. Abdinov B. Abeloos R. Aben O. S. AbouZeid N. L. Abraham H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya L. Adamczyk D. L. Adams J. Adelman S. Adomeit T. Adye A. A. Affolder T. Agatonovic-Jovin J. Agricola J. A. Aguilar-Saavedra S. P. Ahlen F. Ahmadov G. Aielli H. Akerstedt T. P. A. Åkesson A. V. Akimov G. L. Alberghi J. Albert S. Albrand M. J. Alconada Verzini M. Aleksa I. N. Aleksandrov C. Alexa G. Alexander T. Alexopoulos M. Alhroob B. Ali M. Aliev G. Alimonti J. Alison S. P. Alkire B. M. M. Allbrooke B. W. Allen P. P. Allport A. Aloisio A. Alonso F. Alonso C. Alpigiani M. Alstaty B. Alvarez Gonzalez D. Álvarez Piqueras M. G. Alviggi B. T. Amadio K. Amako Y. Amaral Coutinho C. Amelung D. Amidei S. P. Amor Dos Santos A. Amorim S. Amoroso G. Amundsen C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders J. K. Anders K. J. Anderson A. Andreazza V. Andrei S. Angelidakis I. Angelozzi P. Anger A. Angerami F. Anghinolfi A. V. Anisenkov N. Anjos A. Annovi C. Antel M. Antonelli A. Antonov F. Anulli M. Aoki L. Aperio Bella G. Arabidze Y. Arai J. P. Araque A. T. H. Arce F. A. Arduh J-F. Arguin S. Argyropoulos M. Arik A. J. Armbruster L. J. Armitage O. Arnaez H. Arnold M. Arratia O. Arslan A. Artamonov G. Artoni S. Artz S. Asai N. Asbah A. Ashkenazi B. Åsman L. Asquith K. Assamagan R. Astalos M. Atkinson N. B. Atlay K. Augsten G. Avolio B. Axen M. K. Ayoub G. Azuelos M. A. Baak A. E. Baas M. J. Baca H. Bachacou K. Bachas M. Backes M. Backhaus P. Bagiacchi P. Bagnaia Y. Bai J. T. Baines O. K. Baker E. M. Baldin P. Balek T. Balestri F. Balli W. K. Balunas E. Banas Sw. Banerjee A. A. E. Bannoura L. Barak E. L. Barberio D. Barberis M. Barbero T. Barillari M-S Barisits T. Barklow N. Barlow S. L. Barnes B. M. Barnett R. M. Barnett Z. Barnovska A. Baroncelli G. Barone A. J. Barr L. Barranco Navarro F. Barreiro J. Barreiro Guimarães da Costa R. Bartoldus A. E. Barton P. Bartos A. Basalaev A. Bassalat R. L. Bates S. J. Batista J. R. Batley M. Battaglia M. Bauce F. Faculté des Sciences Université Mohamed Premier and LPTPM Oujda Morocco CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA University of Iowa Iowa City Iowa USA Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan LAL Université Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam Netherlands Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz California USA Department of Physics and Astronomy University of Sussex Brighton United Kingdom Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel Center for High Energy Physics University of Oregon Eugene Oregon USA Department of Physics Stockholm University Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Northern Illinois University DeKalb Illinois USA Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Oliver Lodge Laboratory University of Liverpool Liverpool United Kingdom Institute of Physics University of Belgrade Belgrade Serbia II Physikalisches Institut Georg-August-Universität Göttingen Germany Laboratório de Instrumentação e Física Experimental de Partículas - LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada (Spain) Portugal Department of Physics Boston University Boston Massachusetts USA Join

A search for the decays of the Higgs and Z bosons to a ϕ meson and a photon is performed with a pp collision data sample corresponding to an integrated luminosity of 2.7 fb−1 collected at s=13 TeV with the ATLAS detector at the LHC. No significant excess of events is observed above the background, and 95% confidence level upper limits on the branching fractions of the Higgs and Z boson decays to ϕγ of 1.4×10−3 and 8.3×10−6, respectively, are obtained.

关键词： Electroweak interaction Leptonic, semileptonic & radiative decays Higgs bosons Strange quark Hadron colliders

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