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arXiv 2019年

作者： Chen, Mingzhe Yang, Zhaohui Saad, Walid Yin, Changchuan Vincent Poor, H. Cui, Shuguang Chinese University of Hong Kong Shenzhen518172 China Department of Electrical Engineering Princeton University PrincetonNJ08544 United States Centre for Telecommunications Research Department of Informatics King's College London WC2B 4BG United Kingdom Bradley Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA24060 United States Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing100876 China Department of Electrical Engineering Princeton University PrincetonNJ08544 United States Shenzhen Research Institute of Big Data School of Science and Engineering Chinese University of Hong Kong Shenzhen518172 China

In this paper, the problem of training federated learning (FL) algorithms over a realistic wireless network is studied. In particular, in the considered model, wireless users execute an FL algorithm while training their local FL models using their own data and transmitting the trained local FL models to a base station (bS) that will generate a global FL model and send it back to the users. Since all training parameters are transmitted over wireless links, the quality of the training will be affected by wireless factors such as packet errors and the availability of wireless resources. Meanwhile, due to the limited wireless bandwidth, the bS must select an appropriate subset of users to execute the FL algorithm so as to build a global FL model accurately. This joint learning, wireless resource allocation, and user selection problem is formulated as an optimization problem whose goal is to minimize an FL loss function that captures the performance of the FL algorithm. To address this problem, a closed-form expression for the expected convergence rate of the FL algorithm is first derived to quantify the impact of wireless factors on FL. Then, based on the expected convergence rate of the FL algorithm, the optimal transmit power for each user is derived, under a given user selection and uplink resource block (Rb) allocation scheme. Finally, the user selection and uplink Rb allocation is optimized so as to minimize the FL loss function. Simulation results show that the proposed joint federated learning and communication framework can reduce the FL loss function value by up to 10% and 16%, respectively, compared to: 1) An optimal user selection algorithm with random resource allocation and 2) a standard FL algorithm with random user selection and resource allocation. Copyright © 2019, The Authors. All rights reserved.

关键词： Learning algorithms

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PROJECT LOON: INNOVATING THE CONNECTIVITY WORLDWIDE

PROJECT LOON: INNOVATING THE CONNECTIVITY WORLDWIDE

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IEEE International Conference on Recent Trends in Electronics, Information & Communication technology

作者： Lavina Nagpal Krishna Samdani B.Tech Computer Engineering MPSTME NMIMS University Computer Engineering Department MPSTME NMIMS University

ISBN: (纸本)9781509037056

Project Loon is an ingenious initiative by the Google to provide a wireless network to remote areas thus providing Internet access to 4.5 billion people who are currently offline. This technology involves the use of specially designed helium balloons launched in the stratosphere, which work in coordination with each other and the ground antenna based on complex algorithms, thus aiming to provide a cost effective yet reliable and environment-friendly way to beam the Internet from the sky to places lacking it. This preternatural phenomenon thus aims at innovating the connectivity worldwide.

关键词： Project Loon Internet Solar Panels Remote Areas Network Economical Solar collectors Internets remote regions Helium balloons earth antenna Wireless networks Network Public internet access stratosphere sky

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Keymill: Side-Channel Resilient Key Generator, A New Concept for SCA-Security by Design: A New Concept for SCA-Security by Design 1

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23rd International Conference on Selected Areas in Cryptography, SAC 2016

作者： Taha, Mostafa Reyhani-Masoleh, Arash Schaumont, Patrick Department of Electrical and Computer Engineering Western University LondonONN6A 5B9 Canada Secure Embedded Systems Center for Embedded Systems for Critical Applications Bradley Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA24061 United States

ISBN: (数字)9783319694535

ISBN: (纸本)9783319694528

In the crypto community, it is widely acknowledged that any cryptographic scheme that is built with no countermeasure against side-channel analysis (SCA) can be easily broken. In this paper, we challenge this intuition. We investigate a novel approach in the design of cryptographic primitives that promotes inherent security against side-channel analysis without using redundant circuits. We propose Keymill, a new keystream generator that is immune against SCA attacks. Security of the proposed scheme depends on mixing key bits in a special way that expands the size of any useful key hypothesis to the full entropy, which enables SCA-security that is equivalent to the brute force. Doing so, we do not propose a better SCA countermeasure, but rather a new one. The current solution focuses exclusively on side-channel analysis and works on top of any unprotected block cipher for mathematical security. The proposed primitive is generic and can turn any block cipher into a protected mode using only 775 equivalent NAND gates, which is almost half the area of the best countermeasure available in the literature. © 2017, Springer International Publishing AG.

关键词： Side channel attack

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Machine learning approach for quality adaptation of streaming video through 4G wireless network over HTTP 9

Machine learning approach for quality adaptation of streamin...

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9th ITU Kaleidoscope Academic Conference: Challenges for a Data-Driven Society, ITU K 2017

作者： Kumar, Dhananjay Aswini, V. Raj, L. Arun Kumar, S. Hiran Department of Information Technology Anna University MIT Campus Chennai India Department of Computer Science and Engineering B.S.A Crescent University Chennai India Department of Electronics and Communications Engineering Vel Tech University Chennai India

ISBN: (纸本)9789261242916

Video streaming over HTTP through 4G wireless network used for multimedia applications faces many challenges due to fluctuations in network conditions. The existing HTTP Adaptive Streaming (HAS) techniques based on prediction of buffer state or link bandwidth offer solution to some extent, but if the link condition deteriorates, the adaptation process may reduce the streaming bit rate below an acceptable quality level. In this paper, we propose a machine learning based method, State Action Reward State Action (SARSA) based Quality Adaptation algorithm using Softmax Policy (SbQA-SP), which identifies the current state (Throughput), action (Streaming quality) and reward (current video quality) at client to determine the future state and action of the system. The ITU-T G.1070 recommendation (parametric) modelis embedded in the SbQA-SP to implement adaptation process. The proposed system was implemented on the top of HTTP in a typical internet environment using 4G wireless network and the streaming quality is analyzed using several full reference video metrics. The test results outperformed the existing Q-Learning based video quality adaptation (QbQA) algorithm. For instance, an improvement of 5% in average PSNR and 2 % increase in average SSIM index over the QbQA approach was observed for the live stream. © 2017 ITU.

关键词： HTTP

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Design Of Novel Cloud Architecture For Energy Aware Cost Computation In Cloud Computing Environment

Design Of Novel Cloud Architecture For Energy Aware Cost Com...

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International Conference on Innovations in Power and Advanced Computing technologies

作者： S. Kaushik Srijan Singh Raquib Khan Pathan Associate Professor School of Computer Science and Engineering VIT University Vellore India B.Tech CSE - Student School of Computer Science and Engineering VIT University Vellore India

ISBN: (纸本)9781509056835

Cloud computing mainly aims to deliver the storage and retrieval of large number of data over the internet for cloud consumers. Many researchers and developers are into the deployment of Cloud architecture by analyzing it in the cloud data centers power consumption models. The challenges faced by the data analytics are to reduce the computational power for the data, as the data growth is infinite over the period. In order to solve this problem a novel approach is needed for the cloud computing for cost computational methods. Our proposed model is an energy aware cost computation for solving the complex data computation through load balancing in the cloud. Our experimental outcomes through Cloudsim have demonstrated the effectiveness and competence of the proposed cost computational algorithm in the Cloud environment in terms of response time, throughput and other QoS metrics.

关键词： Cloud computing cloud data center energy aware cost computation load balancing response time throughput

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Mineral Detection of Neutrinos and Dark Matter. A Whitepaper

arXiv

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arXiv 2023年

作者： baum, Sebastian Stengel, Patrick Abe, Natsue Acevedo, Javier F. Araujo, Gabriela R. Asahara, Yoshihiro Avignone, Frank balogh, Levente baudis, Laura boukhtouchen, Yilda bramante, Joseph breur, Pieter Alexander Caccianiga, Lorenzo Capozzi, Francesco Collar, Juan I. Ebadi, Reza Edwards, Thomas Eitel, Klaus Elykov, Alexey Ewing, Rodney C. Freese, Katherine Fung, Audrey Galelli, Claudio Glasmacher, Ulrich A. Gleason, Arianna Hasebe, Noriko Hirose, Shigenobu Horiuchi, Shunsaku Hoshino, Yasushi Huber, Patrick Ido, Yuki Igami, Yohei Ishikawa, Norito Itow, Yoshitaka Kamiyama, Takashi Kato, Takenori Kavanagh, bradley J. Kawamura, Yoji Kazama, Shingo Kenney, Christopher J. Kilminster, ben Kouketsu, Yui Kozaka, Yukiko Kurinsky, Noah A. Leybourne, Matthew Lucas, Thalles McDonough, William F. Marshall, Mason C. Mateos, Jose Maria Mathur, Anubhav Michibayashi, Katsuyoshi Mkhonto, Sharlotte Murase, Kohta Naka, Tatsuhiro Oguni, Kenji Rajendran, Surjeet Sakane, Hitoshi Sala, Paola Scholberg, Kate Semenec, Ingrida Shiraishi, Takuya Spitz, Joshua Sun, Kai Suzuki, Katsuhiko Tanin, Erwin H. Vincent, Aaron Vladimirov, Nikita Walsworth, Ronald L. Watanabe, Hiroko Stanford Institute for Theoretical Physics Department of Physics Stanford University StanfordCA94305 United States Istituto Nazionale di Fisica Nucleare Sezione di Ferrara via Giuseppe Saragat 1 FerraraI-44122 Italy Kanagawa Yokohama236-0001 Japan SLAC National Accelerator Laboratory Stanford University 2575 Sand Hill Road Menlo ParkCA94025 United States Department of Physics University of Zurich Winterthurerstrasse 190 ZurichCH-8057 Switzerland Department of Earth and Environmental Sciences Graduate School of Environmental Studies Nagoya University Furo-cho Chikusa-ku Nagoya464-8601 Japan Department of Physics and Astronomy University of South Carolina ColumbiaSC29208 United States Mechanical and Materials Engineering Queen’s University 130 Stuart Street KingstonONK7L 2V9 Canada Department of Physics Engineering Physics and Astronomy Queen’s University 64 Bader Lane KingstonONK7L 2S8 Canada Perimeter Institute for Theoretical Physics WaterlooONN2J 2W9 Canada Istituto Nazionale di Fisica Nucleare Sezione di Milano Via Celoria 16 Milan Italy Dipartimento di Scienze Fisiche e Chimiche Università degli Studi dell’Aquila L’Aquila67100 Italy Department of Physics University of Chicago ChicagoIL60637 United States Department of Physics University of Maryland College ParkMD20742 United States Quantum Technology Center University of Maryland College ParkMD20742 United States The William H. Miller III Department of Physics and Astronomy The Johns Hopkins University BaltimoreMD21218 United States Institute for Astroparticle Physics Karlsruhe Institute of Technology Karlsruhe76021 Germany Earth and Planetary Sciences Stanford University StanfordCA94305-2115 United States Texas Center for Cosmology and Astroparticle Physics Weinberg Institute for Theoretical Physics Department of Physics The University of Texas at Austin AustinTX78712 United States The Oskar Klein Centre Department of Physics Stockholm University AlbaNova

Minerals are solid state nuclear track detectors – nuclear recoils in a mineral leave latent damage to the crystal structure. Depending on the mineral and its temperature, the damage features are retained in the material from minutes (in low-melting point materials such as salts at a few hundred ◦C) to timescales much larger than the 4.5 Gyr-age of the Solar System (in refractory materials at room temperature). The damage features from the O(50) MeV fission fragments left by spontaneous fission of 238U and other heavy unstable isotopes have long been used for fission track dating of geological samples. Laboratory studies have demonstrated the readout of defects caused by nuclear recoils with energies as small as O(1) keV. This whitepaper discusses a wide range of possible applications of minerals as detectors for ER O(1) keV nuclear recoils: Using natural minerals, one could use the damage features accumulated over O(10) Myr–O(1) Gyr to measure astrophysical neutrino fluxes (from the Sun, supernovae, or cosmic rays interacting with the atmosphere) as well as search for Dark Matter. Using signals accumulated over months to few-years timescales in laboratory-manufactured minerals, one could measure reactor neutrinos or use them as Dark Matter detectors, potentially with directional sensitivity. Research groups in Europe, Asia, and America have started developing microscopy techniques to read out the O(1)–O(100) nm damage features in crystals left by O(0.1)–O(100) keV nuclear recoils. We report on the status and plans of these programs. The research program towards the realization of such detectors is highly interdisciplinary, combining geoscience, material science, applied and fundamental physics with techniques from quantum information and Artificial Intelligence. Copyright © 2023, The Authors. All rights reserved.

关键词： Minerals

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Machine learning approach for quality adaptation of streaming video through 4G wireless network over HTTP

Machine learning approach for quality adaptation of streamin...

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Telecom World (ITU WT), technical Symposium at ITU

作者： Dhananjay Kumar V. Aswini L. Arun Raj S. Hiran Kumar Department of Information Technology MIT Campus Chennai Department of Computer Science and Engineering B.S.A Crescent University Chennai Department of Electronics and Communications Engineering Vel Tech University Chennai

关键词： Streaming media Video recording Quality assessment Servers bit rate Wireless networks Media

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Symmetry reduction for dynamic programming

arXiv

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arXiv 2018年

作者： Maidens, John barrau, Axel bonnabel, Silvère Arcak, Murat Department of Mechanical & Industrial Engineering Ryerson University 350 Victoria Street TorontoONM5B 2K3 Canada SAFRAN TECH Groupe Safran Rue des Jeunes Bois - Châteaufort Magny Les Hameaux78772 France MINES ParisTech PSL Research University Centre for Robotics 60 bd Saint-Michel Paris75006 France Department of Electrical Engineering & Computer Sciences University of California Berkeley 569 Cory Hall BerkeleyCA94720 United States

We present a method of exploiting symmetries of discrete-time optimal control problems to reduce the dimensionality of dynamic programming iterations. The results are derived for systems with continuous state variables, and can be applied to systems with continuous or discrete symmetry groups. We prove that symmetries of the state update equation and stage costs induce corresponding symmetries of the optimal cost function and the optimal policies. We then provide a general framework for computing the optimal cost function based on gridding a space of lower dimension than the original state space. This method does not require algebraic manipulation of the state update equations;it only requires knowledge of the symmetries that the state update equations possess. Since the method can be performed without any knowledge of the state update map beyond being able to evaluate it and verify its symmetries, this enables the method to be applied in a wide range of application problems. We illustrate these results on two six-dimensional optimal control problems that are computationally difficult to solve by dynamic programming without symmetry reduction. Copyright © 2018, The Authors. All rights reserved.

关键词： Motion planning

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Search for W′ bosons decaying to a top and a bottom quark in leptonic final states in proton-proton collisions at s = 13 TeV

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Journal of High Energy Physics 2024年第5期2024卷 46页

作者： Hayrapetyan, A. Tumasyan, A. Adam, W. Andrejkovic, J.W. bergauer, T. Chatterjee, S. Damanakis, K. Dragicevic, M. Escalante Del Valle, A. Hussain, P.S. Jeitler, M. Krammer, N. Liko, D. Mikulec, I. Schieck, J. Schöfbeck, R. Schwarz, D. Sonawane, M. Templ, S. Waltenberger, W. Wulz, C.-E. Darwish, M.R. Janssen, T. Van Mechelen, P. bols, E.S. D’hondt, J. Dansana, S. De Moor, A. Delcourt, M. El Faham, H. Lowette, S. Makarenko, I. Müller, D. Sahasransu, A.R. Tavernier, S. Tytgat, M. Van Putte, S. Vannerom, D. Clerbaux, b. De Lentdecker, G. Favart, L. Hohov, D. Jaramillo, J. Khalilzadeh, A. Lee, K. Mahdavikhorrami, M. Malara, A. Paredes, S. Pétré, L. Postiau, N. Thomas, L. Vanden bemden, M. Vander Velde, C. Vanlaer, P. De Coen, M. Dobur, D. Hong, Y. Knolle, J. Lambrecht, L. Mestdach, G. Rendón, C. Samalan, A. Skovpen, K. Van Den bossche, N. Wezenbeek, L. benecke, A. bruno, G. Caputo, C. Delaere, C. Donertas, I.S. Giammanco, A. Jaffel, K. Jain, Sa. Lemaitre, V. Lidrych, J. Mastrapasqua, P. Mondal, K. Tran, T.T. Wertz, S. Alves, G.A. Coelho, E. Hensel, C. Menezes De Oliveira, T. Moraes, A. Rebello Teles, P. Soeiro, M. Aldá Júnior, W.L. Alves Gallo Pereira, M. 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. Martins, J. Mora Herrera, C. Mota Amarilo, K. Mundim, L. Nogima, H. Santoro, A. Silva Do Amaral, S.M. Sznajder, A. Thiel, M. Vilela Pereira, A. bernardes, C.A. Calligaris, L. Fernandez Perez Tomei, T.R. Gregores, E.M. 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. Ivanov, T. Litov, L. Pavlov, b. Petkov, P. Petrov, A. Shumka, E. Keshri, S. Thakur, S. Cheng, T. Guo, Q. Javaid, T. Mittal, M. Yuan, L. bauer, G. Hu, Z. Yi, K. Chen, G.M. Chen, H.S. Chen, M. Iemmi, F. Jiang, C.H. Kapoor, A. Liao, H. Liu, Z.-A. Monti, F. Sharma, R. Song, J.N. Tao, J. Wang, C. Wang, J. Wang, Z. Zhang, H. Agapitos, A. ban, Y. Lev 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 Sun Yat-Sen University Guangzhou China University of Science and Technology of China Hefei China Institute of Modern Physics and 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 Energy Physics Cairo Egypt Center for High Energy Physics (CHEP-FU) Fayoum University El-Fayoum Egypt National Institute of Chemical Physics and Biophysics Tallinn Estonia Department of Physics

A search for W′ bosons decaying to a top and a bottom quark in final states including an electron or a muon is performed with the CMS detector at the LHC. The analyzed data correspond to an integrated luminosity of 138 fb⁻¹ of proton-proton collisions at a center-of-mass energy of 13 TeV. Good agreement with the standard model expectation is observed and no evidence for the existence of the W′ boson is found over the mass range examined. The largest observed deviation from the standard model expectation is found for a W′ boson mass (mWb>′b>) hypothesis of 3.8 TeV with a relative decay width of 1%, with a local (global) significance of 2.6 (2.0) standard deviations. Upper limits on the production cross sections of W′ bosons decaying to a top and a bottom quark are set. Left- and right-handed W′ bosons with mWb>′b> below 3.9 and 4.3 TeV, respectively, are excluded at the 95% confidence level, under the assumption that the new particle has a narrow decay width. Limits are also set for relative decay widths up to 30%. © The Author(s) 2024.

关键词： beyond Standard Model Hadron-Hadron Scattering Vector boson Production

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Measurement of the τ lepton polarization in Z boson decays in proton-proton collisions at (Formula presented.)

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Journal of High Energy Physics 2024年第1期2024卷 101页

作者： Hayrapetyan, A. Tumasyan, A. Adam, W. Andrejkovic, J.W. bergauer, T. Chatterjee, S. Damanakis, K. Dragicevic, M. Escalante Del Valle, A. Hussain, P.S. Jeitler, M. Krammer, N. Liko, D. Mikulec, I. Schieck, J. Schöfbeck, R. Schwarz, D. Sonawane, M. Templ, S. Waltenberger, W. Wulz, C.-E. Darwish, M.R. Janssen, T. Van Mechelen, P. bols, E.S. D’Hondt, J. Dansana, S. De Moor, A. Delcourt, M. El Faham, H. Lowette, S. Makarenko, I. Müller, D. Sahasransu, A.R. Tavernier, S. Tytgat, M. Van Putte, S. Vannerom, D. Clerbaux, b. De Lentdecker, G. Favart, L. Hohov, D. Jaramillo, J. Khalilzadeh, A. Lee, K. Mahdavikhorrami, M. Malara, A. Paredes, S. Pétré, L. Postiau, N. Thomas, L. Vanden bemden, M. Vander Velde, C. Vanlaer, P. De Coen, M. Dobur, D. Hong, Y. Knolle, J. Lambrecht, L. Mestdach, G. Rendón, C. Samalan, A. Skovpen, K. Van Den bossche, N. Wezenbeek, L. benecke, A. bruno, G. Caputo, C. Delaere, C. Donertas, I.S. Giammanco, A. Jaffel, K. Jain, Sa. Lemaitre, V. Lidrych, J. Mastrapasqua, P. Mondal, K. Tran, T.T. Wertz, S. Alves, G.A. Coelho, E. Hensel, C. Menezes De Oliveira, T. Moraes, A. Rebello Teles, P. Soeiro, M. Aldá Júnior, W.L. Alves Gallo Pereira, M. 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. Martins, J. Mora Herrera, C. Mota Amarilo, K. Mundim, L. Nogima, H. Santoro, A. Silva Do Amaral, S.M. Sznajder, A. Thiel, M. Vilela Pereira, A. bernardes, C.A. Calligaris, L. Fernandez Perez Tomei, T.R. Gregores, E.M. 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. Ivanov, T. Litov, L. Pavlov, b. Petkov, P. Petrov, A. Shumka, E. Keshri, S. Thakur, S. Cheng, T. Guo, Q. Javaid, T. Mittal, M. Yuan, L. bauer, G. Hu, Z. Yi, K. Chen, G.M. Chen, H.S. Chen, M. Iemmi, F. Jiang, C.H. Kapoor, A. Liao, H. Liu, Z.-A. Monti, F. Sharma, R. Song, J.N. Tao, J. Wang, C. Wang, J. Wang, Z. Zhang, H. Agapitos, A. ban, Y. Lev 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 Sun Yat-Sen University Guangzhou China University of Science and Technology of China Hefei China Institute of Modern Physics and 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 Energy Physics Cairo Egypt Center for High Energy Physics (CHEP-FU) Fayoum University El-Fayoum Egypt National Institute of Chemical Physics and Biophysics Tallinn Estonia Department of Physics

The polarization of τ leptons is measured using leptonic and hadronic τ lepton decays in Z → τ+ τ− events in proton-proton collisions at (Formula presented.) recorded by CMS at the CERN LHC with an integrated lum... 详细信息

The polarization of τ leptons is measured using leptonic and hadronic τ lepton decays in Z → τ⁺ τ⁻ events in proton-proton collisions at (Formula presented.) recorded by CMS at the CERN LHC with an integrated luminosity of 36.3 fb⁻¹. The measured τ⁻ lepton polarization at the Z boson mass pole is Pb>τb>(Z) = −0.144 ± 0.006 (stat) ± 0.014 (syst) = −0.144 ± 0.015, in good agreement with the measurement of the τ lepton asymmetry parameter of Ab>τb> = 0.1439 ± 0.0043 = − Pb>τb>(Z) at LEP. The τ lepton polarization depends on the ratio of the vector to axial-vector couplings of the τ leptons in the neutral current expression, and thus on the effective weak mixing angle sin² θWeff , independently of the Z boson production mechanism. The obtained value sin² θWeff = 0.2319 ± 0.0008(stat) ± 0.0018(syst) = 0.2319 ± 0.0019 is in good agreement with measurements at e⁺ e⁻ colliders. [Figure not available: see fulltext.]. © 2024, The Author(s).

关键词： Hadron-Hadron Scattering Tau Physics

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