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Measurement of the double-differential inclusive jet cross section in proton-proton collisions at s = 5.02 TeV

Journal of High Energy Physics 2025年第1期2025卷 1-49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. Lechner, L. Liko, D. Mikulec, I. Schieck, J. Schöfbeck, R. Schwarz, D. Sonawane, M. Templ, S. Waltenberger, W. Wulz, C.-E. Darwish, M.R. Janssen, T. Kello, T. Van Mechelen, P. Bols, E.S. D’Hondt, J. De Moor, A. Delcourt, M. El Faham, H. Lowette, S. Makarenko, I. Morton, A. Müller, D. Sahasransu, A.R. Tavernier, S. Van Putte, S. Vannerom, D. Clerbaux, B. Dansana, S. De Lentdecker, G. Favart, L. Hohov, D. Jaramillo, J. 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. Knolle, J. Lambrecht, L. Mestdach, G. Rendón, C. Samalan, A. Skovpen, K. Tytgat, M. Van Den Bossche, N. Vermassen, B. Wezenbeek, L. Benecke, A. Bruno, G. Bury, F. Caputo, C. Delaere, C. Donertas, I.S. Giammanco, A. Jaffel, K. Jain, Sa. Lemaitre, V. Lidrych, J. Mastrapasqua, P. Mondal, K. Tran, T.T. Vischia, P. Wertz, S. Alves, G.A. Coelho, E. Hensel, C. Moraes, A. Rebello Teles, P. 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. Dos Santos Sousa, V. 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. Lezki, S. 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, J. Zhang, H. Aga 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 Venezuela 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 inclusive jet cross section is measured as a function of jet transverse momentum pT and rapidity y. The measurement is performed using proton-proton collision data at s = 5.02 TeV, recorded by the CMS experiment a... 详细信息

The inclusive jet cross section is measured as a function of jet transverse momentum p_T and rapidity y. The measurement is performed using proton-proton collision data at s = 5.02 TeV, recorded by the CMS experiment at the LHC, corresponding to an integrated luminosity of 27.4 pb⁻¹. The jets are reconstructed with the anti-k_T algorithm using a distance parameter of R = 0.4, within the rapidity interval |y| < 2, and across the kinematic range 0.06 < p_T< 1 TeV. The jet cross section is unfolded from detector to particle level using the determined jet response and resolution. The results are compared to predictions of perturbative quantum chromodynamics, calculated at both next-to-leading order and next-to-next-to-leading order. The predictions are corrected for nonperturbative effects, and presented for a variety of parton distribution functions and choices of the renormalization/factorization scales and the strong coupling α_S. © The Author(s) 2025.

关键词： Hadron-Hadron Scattering Jet Physics QCD

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Bird's Eye View on Systems and Control - General View and Case Studies

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IFAC-PapersOnLine 2016年第6期49卷 274-279页

作者： Vámos, T. Bars, R. Sik, D. Institute of Computer Science and Control Hungarian Academy of Sciences MTA-SZTAKI Budapest Hungary Dept. of Automation and Applied Informatics Budapest University of Technology and Economics MTA-BME Control Engineering Research Group Budapest Hungary

Systems and control are all around us. System view, understanding systems and how they are controlled is important for everyone. The behavior of systems is determined by some fundamental principles which can be understood by everyone. The main principles governing systems and control are presented on different levels. The first level is dedicated for everyone. Comics-like interpretation is provided with explanations. The second level discusses the main topics dedicated for the interested students. Several case studies demonstrate how system view is considered in different areas of life. With this approach systems in different areas of life could be better understood contributing to better decisions influencing their performance. The third level provides deeper insight into some aspects of modern mathematical system theory, to geometric view of control systems. The material is available on a website on the internet. © 2016

关键词： Control theory Algorithms Case studies Control disciplines Control education Control structure Systems and control

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Real-time diagnostics of mechanical failure for thin active cantilever beams using low-cost hardware 7

Real-time diagnostics of mechanical failure for thin active ...

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7th Forum Acusticum, FA 2014

作者： Takács, Gergely Institute of Automation Measurement and Applied Informatics Faculty of Mechanical Engineering Slovak University of Technology in Bratislava Námestie Slobody 17 Bratislava 1812 31 Slovakia

ISBN: (纸本)9788361402282

This paper discusses a real-time diagnostics algorithm applied to detect mechanical failure in thin beams subjected to active structural control. A thin aluminum cantilever is equipped with piezoceramic actuators, and its position is measured at the free end by an optical device. The dynamics of the beam is approximated using a second order state-space model, which is augmented by the unknown mass, stiffness, viscous damping and force conversion constants. This model is utilized in the extended Kalman filter (EKF) to observe dynamic states and parameters. The estimated parameters are used to compute the first damped resonant frequency of the active structure, which is assumed to diverge from the nominal condition in case a mechanical failure occurs. This algorithm is implemented on a low-cost computing hardware using automatic code generation and deployment. In the experimental validation procedure, the piezoceramic transducers are supplied with a pseudorandom-binary signal, then the weight of the beam is changed to emulate variations in its mechanical properties. The role of the proposed method is to estimate the physical parameters of the beam and to detect sudden or gradual changes in configuration. The presented results demonstrate the real-time ability to diagnose changes in the mechanical configuration of the active cantilever beam, while also confirming the implementation feasibility of the proposed approach on miniaturized and mass-produced embedded microcontrollers.

关键词： Failure (mechanical)

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Preventing Cloud Network from Spamming Attacks Using Cloudflare and KNN

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computers, Materials & Continua 2023年第2期74卷 2641-2659页

作者： Muhammad Nadeem Ali Arshad Saman Riaz SyedaWajiha Zahra Muhammad Rashid Shahab S.Band Amir Mosavi Department of Computer Science Abasyn UniversityIslamabad44000Pakistan Department of Computer Science National University of TechnologyIslamabad44000Pakistan Future Technology Research Center National Yunlin University of Science and TechnologyDouliuYunlin64002Taiwan Institute of Information Society University of Public ServiceBudapest1083Hungary John von Neumann Faculty of Informatics Obuda UniversityBudapestHungary Institute of Information Engineering Automation and MathematicsSlovak University of Technology in BratislavaSlovakia

Cloud computing is one of the most attractive and cost-saving models,which provides online services to *** computing allows the user to access data directly from any *** nowadays,cloud security is one of the biggest issues that *** types of malware are wreaking havoc on the *** on the cloud server are happening from both internal and external *** paper has developed a tool to prevent the cloud server from spamming *** an attacker attempts to use different spamming techniques on a cloud server,the attacker will be intercepted through two effective techniques:Cloudflare and K-nearest neighbors(KNN)*** will block those IP addresses that the attacker will use and prevent spamming ***,the KNN classifiers will determine which area the spammer belongs *** the end of the article,various prevention techniques for securing cloud servers will be discussed,a comparison will be made with different papers,a conclusion will be drawn based on different results.

关键词： Intrusion prevention system spamming KNN classification spam cyber security botnet

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Two Layer Symmetric Cryptography Algorithm for Protecting Data from Attacks

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computers, Materials & Continua 2023年第2期74卷 2625-2640页

作者： Muhammad Nadeem Ali Arshad Saman Riaz Syeda Wajiha Zahra Shahab SBand Amir Mosavi Department of Computer Science Abasyn UniversityIslamabad44000Pakistan Department of Computer Science National University of TechnologyIslamabad44000Pakistan Future Technology Research Center National Yunlin University of Science and TechnologyDouliuYunlin64002Taiwan Institute of Information Society University of Public ServiceBudapest1083Hungary John Von Neumann Faculty of Informatics Obuda UniversityBudapestHungary Institute of Information Engineering Automation and MathilticsSlovak University of Technology in BratislavaSlovakia

Many organizations have insisted on protecting the cloud server from the outside,although the risks of attacking the cloud server are mostly from the *** are many algorithms designed to protect the cloud server from attacks that have been able to protect the cloud server ***,the attackers have designed even better mechanisms to break these security *** cryptography is the best data protection algorithm that exchanges data between authentic *** this article,one symmetric cryptography algorithm will be designed to secure cloud server data,used to send and receive cloud server data securely.A double encryption algorithm will be implemented to send data in a secure ***,the XOR function will be applied to plain text,and then salt technique will be ***,a reversing mechanism will be implemented on that data to provide more data *** decrypt data,the cipher text will be reversed,salt will be removed,andXORwill be *** the end of the paper,the proposed algorithm will be compared with other algorithms,and it will conclude how much better the existing algorithm is than other algorithms.

关键词： Cryptography symmetric algorithm encryption decryption cipher text cloud security asymmetric algorithm

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Beyond Integration: Advancing Electricity Metering with Secure and Transparent Blockchain-IoT Solutions

Beyond Integration: Advancing Electricity Metering with Secu...

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International Conference on Telecommunications and Signal Processing (TSP)

作者： Kristián Koštál Muhammad Nasim Bahar Sultan Numyalai Michal Ries Faculty of Informatics and Information Technologies Institute of Computer Engineering and Applied Informatics Slovak University of Technology in Bratislava Bratislava Slovakia

ISBN: (数字)9798350365597

ISBN: (纸本)9798350365603

As the demand for reliable and accurate electricity metering escalates in the digital era, traditional systems increasingly need to improve due to their centralized nature, prone to inaccuracies, privacy breaches, and cybersecurity threats. This paper proposes a novel solution that harnesses the transformative power of Blockchain and Internet of Things (IoT) technologies to address these critical challenges. By integrating the immutable ledger capabilities of blockchain with the real-time data acquisition prowess of IoT, we introduce a decentralized system that ensures the secure and transparent measurement and billing of electricity for domestic consumers. Adopting Hyperledger Fabric within our framework offers a robust, scalable architecture that supports secure transactions and enhances trust through digital identities for all participants. This system mitigates the vulnerabilities associated with centralized authorities and efficiently monitors and manages energy consumption with unprecedented precision. Through this approach, we aim to revolutionize the electricity metering infrastructure, providing a blueprint for future advancements in the energy sector.

关键词： Electricity Signal processing Privacy breach Particle measurements Real-time systems Blockchains Telecommunications

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Nonlinear State and Parameter Estimation using Discrete-Time Double Kalman Filter

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IFAC-PapersOnLine 2017年第1期50卷 11632-11638页

作者： Abdollahpouri M. Haring M. Johansen T.A. Takács G. Rohaľ-Ilkiv B. Institute of Automation Measurement and Applied Informatics Faculty of Mechanical Engineering Slovak University of Technology in Bratislava Bratislava 812 31 Slovakia Center for Autonomous Marine Operations and Systems (NTNU-AMOS) Department of Engineering Cybernetics Norwegian University of Science and Technology Trondheim 7491 Norway

Dealing with nonlinear dynamics in conventional estimation methods like the extended Kalman filter (EKF) is challenging, since they are not guaranteed to have global convergence, and their instability can arise by selecting a poor initial guess. Recently, a double Kalman filter (DKF) has been proposed, where two stages of estimation are considered using cascade stability theory in the continuous time domain. The first stage guarantees global convergence through the use of a globally valid linear time-varying model transformation, but leads to sub-optimal accuracy in the presence of noise. The global model transformation is applicable to a class of nonlinear systems, where its state can be explicitly derived through a mapping of previous measurements and disturbances. Furthermore, the second stage compensates the lost performance using the estimate from the first stage via local linearization. Here, we derive the stability analysis of this globally convergent method in discrete time using a Lyapunov approach. Different Kalman filters are compared via simulation to validate the benefit of using DKF for nonlinear state and parameter estimation. © 2017

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engineering methods and software support for modeling and design of discrete-time control of distributed parameter systems 10

Engineering methods and software support for modeling and de...

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2009 10th European Control Conference, ECC 2009

作者： Hulko, G. Belavy, C. Meszaros, A. Bucek, P. Ondrejkovic, K. Zajicek, P. Institute of Automation Measurement and Applied Informatics Faculty of Mechanical Engineering Slovak University of Technology Nám. Slobody 17 Bratislava812 31 Slovakia Institute of Information Engineering Automation and Mathematics Faculty of Chemical and Food Technology Slovak University of Technology Nám. Slobody 17 Bratislava812 31 Slovakia

ISBN: (纸本)9783952417393

In this mini-tutorial some advanced engineering methods are presented for modeling and design of discrete-time control of distributed parameter systems described for control purposes by numerical structures over complex-shape 3D definition domains along with the software package Distributed Parameter Systems Blockset for MATLAB & Simulink - Third-Party MathWorks product, inspired by the boom of numerical analysis of dynamics of machines and processes within engineering practice. The techniques offered are completed by a user-friendly web service tool, suitable for interactive solution of model control problems of distributed parameter systems via the Internet. © 2009 EUCA.

关键词： Web services

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Micromachined membrane structures for pressure sensors based on AlGaN/GaN circular HEMT sensing device

Micromachined membrane structures for pressure sensors based...

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作者： Lalinský, T. Hudek, P. Vanko, G. Dzuba, J. Kuti, V. Srnánek, R. Choleva, P. Vallo, M. Drík, M. Matay, L. Kosti, I. Institute of Electrical Engineering Slovak Academy of Sciences Bratislava 841 04 Slovakia Vorarlberg University of Applied Sciences Dornbirn 6850 Austria Department of Applied Mechanics Faculty of Electrical Engineering and Information Technology Slovak University of Technology 812 19 Bratislava Slovakia International Laser Centrum Bratislava 841 04 Slovakia Institute of Informatics Slovak Academy of Sciences Bratislava 845 07 Slovakia

A new design concept of pressure sensors based on circular high electron mobility transistor (C-HEMT) sensing devices integrated on circular, ring and/or sequential ring AlGaN/GaN membrane structures is introduced for the first time. The micromachining process technology of 1.9 μm thick AlGaN/GaN membrane structures patterned on Silicon substrate is experimentally verified. The mechanical properties of the membranes are investigated by two different experimental methods and simulation. They reveal the membrane tensile residual stress of the value about 280-300 MPa. A non-linear behavior of maximal deflection with the applied pressure is predicted by the ANSYS simulation. The maximal membrane deflection about 2.75 μm is estimated for the applied pressure of 1 MPa. The functionality of the integrated membrane-based C-HEMT sensing device is successfully verified to be applied for pressure sensing. © 2012 Elsevier B.V. All rights reserved.

关键词： III-V semiconductors

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A Machine Learning-Based Privacy-Preserving Approach to Incorporate Distributed Generators in AC Optimal Power Flow

A Machine Learning-Based Privacy-Preserving Approach to Inco...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Dindar, Burak Saner, Can Berk Polat, Dogukan Yigit Çakmak, Huseyin Kemâl Hagenmeyer, Veit Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Germany National University of Singapore Department of Electrical and Computer Engineering Singapore National University of Singapore School of Computing Singapore

ISBN: (纸本)9789531842976

In order to achieve the goal of a carbon-neutral power system, significant changes to the power grid are underway, necessitating enhanced interoperability between Transmission System Operators (TSOs) and Distribution System Operators (DSOs) for effective grid operation, particularly in light of the growing number of distributed generators (DGs). Data privacy concerns, however, complicate decision-making processes, particularly when integrating DGs into system-wide dispatch decisions. In this paper, we propose a machine-learning (ML)-based method to incorporate DGs located within the distribution system (DS) into dispatch decisions, adhering to data privacy by mitigating the exchange of sensitive data, such as system topology and demand profiles, between TSOs and DSOs. The methodology involves training three ML models to represent the behavior of the DS, thereby replacing the standard power flow model that contains sensitive information. Notably, we utilize a novel tailored neural network (NN) architecture to enhance computational efficiency in mapping the feasible region of the DS. Additionally, we employ open-source data to construct the Baden-Wü rttemberg (Germany) electricity grid, allowing to test our method not only on standard systems but also on a model that more accurately represents real-world power systems. The numerical case studies verify that the proposed method achieves results comparable to standard AC optimal power flow (AC-OPF) in both cost-optimality and computational time. © 2024 IEEE.

关键词： Differential privacy

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