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arXiv 2020年

作者： Rajatheva, Nandana Atzeni, Italo Bicaïs, Simon Björnson, Emil Bourdoux, André Buzzi, Stefano D'Andrea, Carmen Doré, Jean-Baptiste Erkucuk, Serhat Fuentes, Manuel Guan, Ke Hu, Yuzhou Huang, Xiaojing Hulkkonen, Jari Jornet, Josep Miquel Katz, Marcos Makki, Behrooz Nilsson, Rickard Panayirci, Erdal Rabie, Khaled Rajapaksha, Nuwanthika Salehi, Mohammadjavad Sarieddeen, Hadi Shahabuddin, Shahriar Svensson, Tommy Tervo, Oskari Tölli, Antti Wu, Qingqing Xu, Wen Centre for Wireless Communications University of Oulu Finland CEA-Leti France KTH Royal Institute of Technology Sweden Linköping University Sweden IMEC Belgium University of Cassino and Southern Latium Italy Italy Department of Electrical and Electronics Engineering Kadir Has University Turkey Fivecomm Valencia Spain State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University China The Beijing Engineering Research Center of High-Speed Railway Broadband Mobile Communications China Algorithm Department ZTE Corporation China School of Electrical and Data Engineering Faculty of Engineering and Information Technology University of Technology Sydney Australia Nokia Bell Labs Finland Institute for the Wireless Internet of Things Department of Electrical and Computer Engineering Northeastern University United States Ericsson Research Gothenburg Sweden Department of Computer Science Electrical and Space Engineering Luleå University of Technology Sweden Department of Engineering Manchester Metropolitan University United Kingdom Division of Computer Electrical and Mathematical Sciences and Engineering King Abdullah University of Science and Technology Saudi Arabia Nokia Finland Department of Electrical Engineering Chalmers University of Technology Sweden State Key Laboratory of Internet of Things for Smart City Department of Electrical and Computer Engineering University of Macau China Huawei Technologies Germany

This paper explores the road to vastly improving the broadband connectivity in future 6G wireless systems. Different categories of use cases are considered, with peak data rates up to 1 Tbps. Several categories of enablers at the infrastructure, spectrum, and protocol/algorithmic levels are required to realize the intended broadband connectivity goals in 6G. At the infrastructure level, we consider ultra-massive MIMO technology (possibly implemented using holographic radio), intelligent reflecting surfaces, user-centric cell-free networking, integrated access and backhaul, and integrated space and terrestrial networks. At the spectrum level, the network must seamlessly utilize sub-6 GHz bands for coverage and spatial multiplexing of many devices, while higher bands will be mainly used for pushing the peak rates of point-to-point links. Finally, at the protocol/algorithmic level, the enablers include improved coding, modulation, and waveforms to achieve lower latency, higher reliability, and reduced complexity. © 2020, CC BY.

关键词： MIMO systems

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Search for heavy neutral Higgs bosons A and H in the tt¯Z channel in proton-proton collisions at 13 TeV

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Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics 2025年 866卷

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. 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. Khalilzadeh, A. Khan, F.A. Lee, K. Malara, A. 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. 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, Sh. 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. 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, J.N. Tao, J. Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Vienna Austria Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Université Libre de Bruxelles Bruxelles Belgium 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 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 Institute of Modern Physics Key Laboratory of Nuclear Physics Ion-beam Application (MOE) Fudan University Shanghai China Zhejiang University Zhejiang Hangzhou 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 Ecuador Academy of Scientific Research and Technology of the Arab Republic of Egypt Egyptian Network of High Ene

A direct search for new heavy neutral Higgs bosons [Figure presented] and [Figure presented] in the [Figure presented] channel is presented, targeting the process [Figure presented] with [Figure presented]. For the first time, the channel with decays of the [Figure presented] boson to muons or electrons in association with all-hadronic decays of the [Figure presented] system is targeted. The analysis uses proton-proton collision data collected at the CERN LHC with the CMS experiment at s=13TeV, which correspond to an integrated luminosity of 138fb⁻¹. No signal is observed. Upper limits on the product of the cross section and branching fractions are derived for narrow resonances [Figure presented] and [Figure presented] with masses up to 2100 and 2000 GeV, respectively, assuming [Figure presented] boson production through gluon fusion. The results are also interpreted within two-Higgs-doublet models, where [Figure presented] and [Figure presented] are CP-odd and CP-even states, respectively, complementing and substantially extending the reach of previous searches. © 2025 CERN for the benefit of the CMS Collaboration

关键词： 2HDM CMS

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Observation of nuclear modification of energy-energy correlators inside jets in heavy ion collisions

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Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics 2025年 866卷

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. 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. Lee, K. 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. 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, Sh. 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.S. Chen, M. Iemmi, F. Jiang, C.H. Kapoor, A Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Vienna Austria Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Université Libre de Bruxelles Bruxelles Belgium 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 State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Guangdong Provincial Key Laboratory of Nuclear Science 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 Institute of Modern Physics Key Laboratory of Nuclear Physics Ion-beam Application (MOE) Fudan University Shanghai China Zhejiang University Zhejiang Hangzhou 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 Ecuador Academy of Scientific Research and Technology of the Arab Republic of Egypt Egyptian Network of High Energy

Energy-energy correlators are constructed by averaging the number of charged particle pairs within jets, weighted by the product of their transverse momenta, as a function of the angular separation of the particles within a pair. They are sensitive to a multitude of perturbative and nonperturbative quantum chromodynamics phenomena in high-energy particle collisions. Using lead-lead data recorded with the CMS detector, energy-energy correlators inside high transverse momentum jets are measured in heavy ion collisions for the first time. The data are obtained at a nucleon-nucleon center-of-mass energy of 5.02 TeV and correspond to an integrated luminosity of 1.70nb⁻¹. A similar analysis is done for proton-proton collisions at the same center-of-mass energy to establish a reference. The ratio of lead-lead to proton-proton energy-energy correlators reveals significant jet substructure modifications in the quark-gluon plasma. The results are compared to different models that incorporate either color coherence or medium response effects, where the two effects predict similar substructure modifications. © 2025 CERN for the benefit of the CMS Collaboration

关键词： CMS Correlator Energy Jets Resolution

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Angular analysis of the B⁰ → K^⁎(892)⁰μ⁺μ⁻ decay in proton-proton collisions at s=13TeV

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Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics 2025年 864卷

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. 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, Sh. 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, J.N. Tao, J. Wang, C. Wang, J. Wa Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Vienna Austria Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Université Libre de Bruxelles Bruxelles Belgium 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 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 Institute of Modern Physics Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) Fudan University Shanghai China Zhejiang University Zhejiang Hangzhou 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 Ecuador Academy of Scientific Research and Technology of the Arab Republic of Egypt Egyptian Network of High

A full set of optimized observables is measured in an angular analysis of the decay B0→K⁎(892)0μ+μ− using a sample of proton-proton collisions at s=13TeV, collected with the CMS detector at the LHC, corresponding t... 详细信息

A full set of optimized observables is measured in an angular analysis of the decay B⁰→K^⁎(892)⁰μ⁺μ⁻ using a sample of proton-proton collisions at s=13TeV, collected with the CMS detector at the LHC, corresponding to an integrated luminosity of 140 fb⁻¹. The analysis is performed in six bins of the squared invariant mass of the dimuon system, q², over the range 1.12<16GeV². The results are among the most precise experimental measurements of the angular observables for this decay and are compared to a variety of predictions based on the standard model. Some of these predictions exhibit tension with the measurements. © 2025 CERN for the benefit of the CMS Collaboration

关键词： B-physics CMS Flavor anomalies Heavy flavor Rare decays

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Search for the Higgs boson decays to a ρ⁰, ϕ, or K^⁎0 meson and a photon in proton-proton collisions at s=13TeV

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Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics 2025年 862卷

作者： Hayrapetyan, A. Tumasyan, A. Adam, W. Andrejkovic, J.W. 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. 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 Lentdecker, G. Evard, H. Favart, L. Gianneios, P. Jaramillo, J. Khalilzadeh, A. Khan, F.A. Lee, K. Mahdavikhorrami, M. 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, Sh. Lemaitre, V. Lidrych, J. Mastrapasqua, P. Tran, T.T. Wertz, S. Alves, G.A. Alves Gallo Pereira, M. Coelho, E. Correia Silva, G. Hensel, C. Menezes De Oliveira, T. Mora Herrera, C. Moraes, A. 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 Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Vienna Austria Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Université Libre de Bruxelles Bruxelles Belgium 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 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 Institute of Modern Physics Key Laboratory of Nuclear Physics Ion-beam Application (MOE) Fudan University Shanghai China Zhejiang University Zhejiang Hangzhou 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 Ecuador Academy of Scientific Research and Technology of the Arab Republic of Egypt Egyptian Network of High Ene

Three rare decay processes of the Higgs boson to a ρ(770)0, ϕ(1020), or K⁎(892)0 meson and a photon are searched for using s=13TeV proton-proton collision data collected by the CMS experiment at the LHC. Events are s... 详细信息

Three rare decay processes of the Higgs boson to a ρ(770)⁰, ϕ(1020), or K^⁎(892)⁰ meson and a photon are searched for using s=13TeV proton-proton collision data collected by the CMS experiment at the LHC. Events are selected assuming the mesons decay into a pair of charged pions, a pair of charged kaons, or a charged kaon and pion, respectively. Depending on the Higgs boson production mode, different triggering and reconstruction techniques are adopted. The analyzed data sets correspond to integrated luminosities up to 138fb⁻¹, depending on the reconstructed final state. After combining various data sets and categories, no significant excess above the background expectations is observed. Upper limits at 95% confidence level on the Higgs boson branching fractions into ρ(770)⁰γ, ϕ(1020)γ, and K^⁎(892)⁰γ are determined to be 3.7×10⁻⁴, 3.0×10⁻⁴, and 3.0×10⁻⁴, respectively. In case of the ρ(770)⁰γ and ϕ(1020)γ channels, these are the most stringent experimental limits to date. © 2025 CERN for the benefit of the CMS Collaboration

关键词： CMS Higgs Rare decays

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Realization of Flexible Motion of robot Joint with A Novel Permanent Magnetic Spring

Realization of Flexible Motion of Robot Joint with A Novel P...

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IEEE International Conference on Intelligence and Safety for robotics (ISR)

作者： Ming Zhang Lijin Fang Feng Sun Xingwei Sun Yue Gao Koichi Oka The School of Mechanical Engineering and Automation Northeastern University Shenyang China Faculty of Robot Science and Engineering Northeastern University Shenyang CHINA The School of Mechanical Engineering Shenyang University of Technology Shenyang China China The Department of Intelligent Mechanical System Engineering Kochi University of Technology Kochi Japan

ISBN: (纸本)9781538655481

Service robots designed to be used in human environments, require different approach than industrial robots, which safety is achieved mainly by decreasing the interaction with humans, require frequent interaction with humans. The compliant system gives the answer to the safety issue. That should have very low stiffness when subjected to a collision force that could cause human injury, otherwise maintain very high stiffness to keep positioning accuracy. In order to achieve this, robot joint equipped with variable stiffness have been studied by many researchers. This paper proposes a variable stiffness mechanism for robot joint using permanent magnetic spring to ensure collision safety and stable contact. The variable-stiffness range of robot joint using permanent magnetic spring is wider than the mechanical ones, in case of no increase in the wire-tension limited by motor's torque. The mechanical properties of the variable stiffness mechanism are studied. The permanent magnetic variable stiffness robot joint was been built, the safety, the variable-stiffness ability, position step response ability were verified by experiments.

关键词： Permanent magnets Springs Wires robots Magnetic circuits Magnetic forces Magnetic flux

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Superframes, A temporal video segmentation

arXiv

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arXiv 2018年

作者： Sokeh, Hajar Sadeghi Argyriou, Vasileios Monekosso, Dorothy Remagnino, Paolo Robot Vision Team Faculty of Science Engineering and Computing Kingston University London United Kingdom Robot Vision Team Faculty of Science Engineering and Computing Leeds Beckett University Leeds United Kingdom

The goal of video segmentation is to turn video data into a set of concrete motion clusters that can be easily interpreted as building blocks of the video. There are some works on similar topics like detecting scene cuts in a video, but there is few specific research on clustering video data into the desired number of compact segments. It would be more intuitive, and more efficient, to work with perceptually meaningful entity obtained from a low-level grouping process which we call it ‘superframe’. This paper presents a new simple and efficient technique to detect superframes of similar content patterns in videos. We calculate the similarity of content-motion to obtain the strength of change between consecutive frames. With the help of existing optical flow technique using deep models, the proposed method is able to perform more accurate motion estimation efficiently. We also propose two criteria for measuring and comparing the performance of different algorithms on various databases. Experimental results on the videos from benchmark databases have demonstrated the effectiveness of the proposed method. Copyright © 2018, The Authors. All rights reserved.

关键词： Video recording

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Lockout-Tagout Ransomware: A Detection Method for Ransomware using Fuzzy Hashing and Clustering

Lockout-Tagout Ransomware: A Detection Method for Ransomware...

引用

IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Nitin Naik Paul Jenkins Jonathan Gillett Haralambos Mouratidis Kshirasagar Naik Jingping Song School of Computing University of Portsmouth United Kingdom Faculty of Science and Technology Bournemouth University United Kingdom Centre for Secure Intelligent and Usable Systems University of Brighton United Kingdom Department of Electrical and Computer Engineering University of Waterloo Canada Software College Northeastern University China

ISBN: (数字)9781728124858

ISBN: (纸本)9781728124865

Ransomware attacks are a prevalent cybersecurity threat to every user and enterprise today. This is attributed to their polymorphic behaviour and dispersion of inexhaustible versions due to the same ransomware family or threat actor. A certain ransomware family or threat actor repeatedly utilises nearly the same style or codebase to create a vast number of ransomware versions. Therefore, it is essential for users and enterprises to keep well-informed about this threat landscape and adopt proactive prevention strategies to minimise its spread and affects. This requires a technique to detect ransomware samples to determine the similarity and link with the known ransomware family or threat actor. Therefore, this paper presents a detection method for ransomware by employing a combination of a similarity preserving hashing method called fuzzy hashing and a clustering method. This detection method is applied on the collected WannaCry/WannaCryptor ransomware samples utilising a range of fuzzy hashing and clustering methods. The clustering results of various clustering methods are evaluated through the use of the internal evaluation indexes to determine the accuracy and consistency of their clustering results, thus the effective combination of fuzzy hashing and clustering method as applied to the particular ransomware corpus. The proposed detection method is a static analysis method, which requires fewer computational overheads and performs rapid comparative analysis with respect to other static analysis methods.

关键词： Ransomware Clustering methods Indexes Cryptography Engines Syntactics

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RGB-D SLAM in dynamic environments using points correlations

arXiv

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arXiv 2018年

作者： Dai, WeiChen Zhang, Yu Li, Ping Fang, Zheng College of Control Science and Engineering Zhejiang University Hang Zhou China College of Control Science and Engineering State Key Laboratory of industrial Control Technology Zhejiang University Hang Zhou China Faculty of Robot Science and Engineering Northeastern University Shenyang China

This paper proposed a novel RGB-D SLAM method for dynamic environments. It follows traditional feature-based SLAM methods and utilizes a feature groups segmentation method to resist the disturbance caused by the dynamic objects using points correlations. The correlations between map points represented with a sparse graph are created by Delaunay triangulation. After removing non-consistency connections, the dynamic objects are separated from static background. The features only in the static map are used for motion estimation and bundle adjustment which improves the accuracy and robustness of SLAM in dynamic environments. The effectiveness of the proposed SLAM are evaluated using TUM RGB-D benchmark. The experiments demonstrate that the dynamic features are successfully removed and the system work perfectly in both low and high dynamic environments. The comparisons between proposed method and state-of-the-art visual systems clearly show that the comparable accurate results are achieved in low dynamic environments and the performance is improved significantly in high dynamic environments. Copyright © 2018, The Authors. All rights reserved.

关键词： Motion estimation

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Measurement of the background in the CMS muon detector in -collisions at

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The European Physical Journal C 2024年第9期84卷 1-43页

作者： Tytgat, M. Muhammad, A. De Lentdecker, G. Jaramillo, J. Moureaux, L. Pétré, L. Yang, Y. Rendón, C. Gokbulut, G. Hong, Y. Samalan, A. Alves, G. A. Marujo da Silva, F. Alves Coelho, E. Barroso Ferreira Filho, M. Da Costa, E. M. De Jesus Damiao, D. Ferreira, B. C. Fonseca De Souza, S. Mota Amarilo, K. Nogima, H. Santoro, A. Thiel, M. Aleksandrov, A. Dimitrov, L. Hadjiiska, R. Iaydjiev, P. Misheva, M. Mitev, G. Ratchev, L. Rashevski, G. Shopova, M. Sultanov, G. Dimitrov, A. Litov, L. Pavlov, B. Petkov, P. Petrov, A. Shumka, E. Keshri, S. Thakur, S. Chen, M. Dong, X. Gong, W. Hou, Q. Jiang, C. Kou, H. Liu, Z.-A. Luo, W. Song, J. Sun, L. Wang, N. Wang, Y. Wang, Z. Zhang, C. Zhang, Y. Zhang, H. Zhao, J. Agapitos, A. Ban, Y. Levin, A. Li, Q. Qian, S. J. Wang, D. Wang, K. You, Z. Avila, C. Barbosa Trujillo, D. A. Cabrera, A. Florez, C. A. Fraga, J. Reyes Vega, J. A. Ramirez, F. Rodriguez, M. Ruiz, J. D. Vanegas, N. Abdalla, H. Abdelalim, A. A. Assran, Y. Radi, A. Crotty, I. Mahmoud, M. A. Balleyguier, L. Chen, X. Combaret, C. Galbit, G. Gouzevitch, M. Grenier, G. Laktineh, I. B. Luciol, A. Mirabito, L. Tromeur, W. Bagaturia, I. Lomidze, I. Kemularia, O. Tsamalaidze, Z. Böttger, U. Eliseev, D. Hebbeker, T. Hoepfner, K. Merschmeyer, M. Ivone, F. Mukherjee, S. Nowotny, F. Philipps, B. Reithler, H. Sharma, A. Torres Da Silva De Araujo, F. Wiedenbeck, S. Zaleski, S. Zantis, F. P. Abbas, M. Mallows, S. Bencze, G. Beni, N. Molnar, J. Szillasi, Z. Teyssier, D. Ujvari, B. Zilizi, G. Babbar, J. Bansal, S. Bhatnagar, V. Chauhan, S. Kaur, A. Kaur, H. Kaur Sahota, A. Kumar, S. Sheokand, T. Singh, J. Choudhary, B. C. Kumar, A. Kumar Saini, M. Naimuddin, M. Majumdar, N. Mukhopadhyay, S. Rout, P. Amoozegar, V. Boghrati, B. Ebraimi, M. Mohammadi Najafabadi, M. Zareian, E. Abbrescia, M. Aly, R. Buonsante, M. Colaleo, A. De Filippis, N. Dell’Olio, D. De Robertis, G. Elmetenawee, W. Ferrara, N. Franco, M. Iaselli, G. Lacalamita, N. Licciulli, F. Loddo, F. Maggi, M. Martiradonna, S. Nuzzo, S. Longo, L. Pellecchia, A. Pugliese, G. Radogna, R. Vrije Universiteit Brussel Brussel Belgium Ghent University Ghent Belgium Université Libre de Bruxelles Bruxelles Belgium Now at Universidad de Antioquia Medellin Colombia Now at University of Wisconsin-Madison Madison Wisconsin USA Universiteit Gent Gent Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro 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 Institute of High Energy Physics of the Chinese Academy of Sciences Beijing China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Sun Yat-Sen University Guangzhou China Universidad de Los Andes Bogota Colombia Universidad de Antioquia Medellin Colombia Academy of Scientific Research and Technology of the Arab Republic of Egypt Egyptian Network of High Energy Physics Cairo Egypt Cairo University Gizah Egypt Helwan University Cairo Egypt Now at Zewail City of Science and Technology Zewail Egypt Suez University Suez Egypt Now at British University in Egypt Cairo Egypt Ain Shams University Cairo Egypt Sultan Qaboos University Muscat Oman Center for High Energy Physics (CHEP-FU) Fayoum University El-Fayoum Egypt Institut de Physique des 2 Infinis de Lyon Villeurbanne France Georgian Technical University Tbilisi Georgia n institute or an international laboratory covered by a cooperation agreement with CERN Geneva Switzerland RWTH Aachen University III. Physikalisches Institut A Aachen Germany The University of the State of Amazonas Manaus Brazil Karlsruher Institut für Technologie Karlsruhe Germany Now at Institute for Research in Fundamental Sciences Teheran Iran Institute of Nuclear Research ATOMKI Debrecen Hungary Institute of Physics University of Debrecen Debrecen Hungary Faculty of Informatics University of Debrecen Debrece

The CMS detector, including its muon system, has been operating at the CERN LHC in increasingly challenging conditions for about 15 years. The muon detector was designed to provide excellent triggering and track reconstruction for muons produced in proton–proton collisons at an instantaneous luminosity ( $$\mathcal {L}$$ ) of $$1 \times 10^{34}$$ cm $$^{-2}$$ s $$^{-1}$$ . During the Run 2 data-taking period (2015–2018), the LHC achieved an instantaneous luminosity of twice its design value, resulting in larger background rates and making the efficient detection of muons more difficult. While some backgrounds result from natural radioactivity, cosmic rays, and interactions of the circulating protons with residual gas in the beam pipe, the dominant source of background hits in the muon system arises from proton–proton interactions themselves. Charged hadrons leaving the calorimeters produce energy deposits in the muon chambers. In addition, high-energy particles interacting in the hadron calorimeter and forward shielding elements generate thermal neutrons, which leak out of the calorimeter and shielding structures, filling the CMS cavern. We describe the method used to measure the background rates in the various muon subsystems. These rates, in conjunction with simulations, can be used to estimate the expected backgrounds in the High-Luminosity LHC. This machine will run for at least 10 years starting in 2029 reaching an instantaneous luminosity of $$\mathcal {L} = 5 \times \text {10}^\text {34}\,\text {cm}^\text {-2}\,\text {s}^\text {-1}$$ and increasing ultimately to $$\mathcal {L} = 7.5 \times \text {10}^\text {34}\,\text {cm}^\text {-2}\,\text {s}^\text {-1}$$ . These background estimates have been a key ingredient for the planning and design of the muon detector upgrade.

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