Article
Astronomy & Astrophysics
Simone Amoroso, Mauro Chiesa, Clara Lavinia Del Pio, Katerina Lipka, Fulvio Piccinini, Federico Vazzoler, Alessandro Vicini
Summary: Measurements of neutral current Drell-Yan production at large invariant dilepton masses are used to test the energy scale dependence of the electroweak mixing angle. A novel implementation of the full next-to-leading order electroweak radiative corrections to the Drell-Yan process is used, exploring the potential of future analyses using proton-proton collisions at & RADIC;s = 13.6 TeV. The Standard Model predictions for the MS running at TeV scales can be probed.
Article
Astronomy & Astrophysics
Jorge J. Martinez de Lejarza, Leandro Cieri, German Rodrigo
Summary: This paper investigates the potential improvement of jet clustering through quantum computing algorithms, proposing two novel quantum algorithms that could achieve exponential speed-up in data dimensionality and data length, thereby enhancing the efficiency of existing classical clustering algorithms.
Article
Astronomy & Astrophysics
Jorge J. Martinez de Lejarza, Leandro Cieri, German Rodrigo
Summary: This paper discusses the application of quantum computing algorithms in jet clustering, particularly in the context of CERN's LHC and the upcoming HL-LHC. By introducing quantum subroutines and quantum circuits, exponential acceleration can be achieved in terms of data dimensionality and data length, resulting in efficiencies comparable to classical clustering algorithms.
Article
Multidisciplinary Sciences
Ekaterina Govorkova, Ema Puljak, Thea Aarrestad, Maurizio Pierini, Kinga Anna Wozniak, Jennifer Ngadiuba
Summary: In the particle detectors at the Large Hadron Collider, millions of proton-proton collisions occur every second, generating a massive amount of data. To reduce this data volume, real-time decisions are made by ATLAS and CMS experiments on whether to keep or discard each collision event for further analysis. To develop new event selection strategies and assess their sensitivity to new phenomena, we introduce a dataset that replicates a typical data stream collected by such a real-time processing system.
Article
Astronomy & Astrophysics
Murat Abdughani, Daohan Wang, Lei Wu, Jin Min Yang, Jun Zhao
Summary: The study uses a message passing neural network to investigate the nonresonant Higgs pair production process at the LHC, finding it challenging to observe such a process. By imposing an upper limit on the production cross section of the Higgs pair, the study limits the triple Higgs boson coupling to a specific range.
Article
Physics, Particles & Fields
Essodjolo Kpatcha, Inaki Lara, Daniel E. Lopez-Fogliani, Carlos Munoz, Natsumi Nagata, Hidetoshi Otono
Summary: The study analyzes the relevant signals at the LHC for a stop as the lightest supersymmetric particle (LSP) and discusses the results in the framework of the mu nu SSM. Stops are pair produced at the LHC, decaying with displaced vertices to a lepton and a bottom quark or a neutrino and a top quark.Using a data-driven method to sample the mu nu SSM, with special attention given to reproducing experimental data.
EUROPEAN PHYSICAL JOURNAL C
(2022)
Article
Astronomy & Astrophysics
Li Huang, Samuel D. Lane, Ian M. Lewis, Zhen Liu
Summary: The study proposes a method to verify the Goldstone boson equivalence theorem and the theory of electroweak symmetry breaking by observing the restoration of electroweak symmetry in double electroweak boson production.
Article
Physics, Multidisciplinary
R. Albanese, A. Alexandrov, F. Alicante, A. Anokhina, T. Asada, C. Battilana, A. Bay, C. Betancourt, R. Biswas, A. Blanco Castro, M. Bogomilov, D. Bonacorsi, W. M. Bonivento, P. Bordalo, A. Boyarsky, S. Buontempo, M. Campanelli, T. Camporesi, V. Canale, A. Castro, D. Centanni, F. Cerutti, M. Chernyavskiy, K. -y. Choi, S. Cholak, F. Cindolo, M. Climescu, A. P. Conaboy, G. M. Dallavalle, D. Davino, P. T. de Bryas, G. De Lellis, M. De Magistris, A. De Roeck, A. De Rujula, M. De Serio, D. De Simone, A. Di Crescenzo, R. Dona, O. Durhan, F. Fabbri, F. Fedotovs, M. Ferrillo, M. Ferro-Luzzi, R. A. Fini, A. Fiorillo, R. Fresa, W. Funk, F. M. Garay Walls, A. Golovatiuk, A. Golutvin, E. Graverini, A. M. Guler, V Guliaeva, G. J. Haefeli, J. C. Helo Herrera, E. van Herwijnen, P. Iengo, S. Ilieva, A. Infantino, A. Iuliano, R. Jacobsson, C. Kamiscioglu, A. M. Kauniskangas, E. Khalikov, S. H. Kim, Y. G. Kim, G. Klioutchnikov, M. Komatsu, N. Konovalova, S. Kovalenko, S. Kuleshov, H. M. Lacker, O. Lantwin, F. Lasagni Manghi, A. Lauria, K. Y. Lee, K. S. Lee, S. Lo Meo, V. P. Loschiavo, S. Marcellini, A. Margiotta, A. Mascellani, A. Miano, A. Mikulenko, M. C. Montesi, F. L. Navarria, S. Ogawa, N. Okateva, M. Ovchynnikov, G. Paggi, B. D. Park, A. Pastore, A. Perrotta, D. Podgrudkov, N. Polukhina, A. Prota, A. Quercia, S. Ramos, A. Reghunath, T. Roganova, F. Ronchetti, T. Rovelli, O. Ruchayskiy, T. Ruf, M. Sabate Gilarte, M. Samoilov, V. Scalera, O. Schneider, G. Sekhniaidze, N. Serra, M. Shaposhnikov, V. Shevchenko, T. Shchedrina, L. Shchutska, H. Shibuya, S. Simone, G. P. Siroli, G. Sirri, G. Soares, O. J. Soto Sandoval, M. Spurio, N. Starkov, I. Timiryasov, V. Tioukov, F. Tramontano, C. Trippl, E. Ursov, A. Ustyuzhanin, G. Vankova-Kirilova, V. Verguilov, N. Viegas Guerreiro Leonardo, C. Vilela, C. Visone, R. Wanke, E. Yaman, C. Yazici, C. S. Yoon, E. Zaffaroni, J. Zamora Saa
Summary: This study reports the direct observation of muon neutrino interactions with the SND@LHC detector at the Large Hadron Collider. Using data from proton-proton collisions collected by SND@LHC in 2022, the study shows a significant evidence of muon neutrino signals.
PHYSICAL REVIEW LETTERS
(2023)
Article
Astronomy & Astrophysics
Shinya Kanemura, Michihisa Takeuchi, Kei Yagyu
Summary: The paper discusses the "double-aligned THDMs", focusing on the coupling between the discovered Higgs boson and Standard Model particles. It investigates the constraints and prospects of this model using measurements from flavor experiments and data from LHC. It finds that most of the parameter space has been excluded by current LHC data, but there is still potential for research in the high-luminosity LHC.
Article
Physics, Particles & Fields
K. D. J. Andre, L. Aperio Bella, N. Armesto, S. A. Bogacz, D. Britzger, O. S. Bruening, M. D'Onofrio, E. G. Ferreiro, O. Fischer, C. Gwenlan, B. J. Holzer, M. Klein, U. Klein, F. Kocak, P. Kostka, M. Kumar, B. Mellado, J. G. Milhano, P. R. Newman, K. Piotrzkowski, A. Polini, X. Ruan, S. Russenschuk, C. Schwanenberger, E. Vilella-Figueras, Y. Yamazaki
Summary: This paper presents novel considerations on the physics, apparatus and accelerator designs for a future luminous, energy frontier electron-hadron scattering experiment at the LHC in the thirties. It discusses the key physics topics and their relation to the hadron-hadron HL-LHC physics programme. The paper derives demands on the design of the LHeC detector set by these physics topics and describes a corresponding update. It also presents optimizations on the accelerator design, particularly the interaction region (IR). Additionally, the paper sketches a forward-backward symmetrized option of the LHeC detector that would allow extending the LHeC physics programme to include aspects of hadron-hadron physics.
EUROPEAN PHYSICAL JOURNAL C
(2022)
Article
Physics, Nuclear
Xiaofeng Gong, Yanbing Cai, Daicui Zhou, Wenchang Xiang
Summary: To describe hadron production at the LHC energies, the impact parameter dependent saturation model is modified by including an anomalous dimension Γ, which controls the slope of the scattering amplitude during the transition from the dilute region to the saturation region. We calculate the transverse momentum distribution and nuclear modification factor.
Review
Physics, Nuclear
J. Manjarres Ramos, Guillelmo Gomez-Ceballos
Summary: This article reviews the most recent experimental measurements of the production cross sections of vector boson pairs in association with two jets in proton-proton collisions at root s = 13 TeV at the LHC, using data sets recorded by the ATLAS and CMS detectors. It also summarizes the applications to searches for New Physics, as well as prospects for measuring the electroweak vector boson scattering processes with larger data samples.
ANNUAL REVIEW OF NUCLEAR AND PARTICLE SCIENCE
(2023)
Article
Astronomy & Astrophysics
Volodymyr Biloshytskyi, Vladimir Pascalutsa, Lucian Harland-Lang, Bogdan Malaescu, Kristof Schmieden, Matthias Schott
Summary: The LHCb Collaboration may have discovered the first fully charmed tetraquark state X(6900) with significant branching ratio based on experimental data, which should be further investigated in future LHC runs to confirm its nature.
Review
Physics, Nuclear
Thomas Gehrmann, Bogdan Malaescu
Summary: This review provides an overview of the current status of precision quantum chromodynamics (QCD) studies at the LHC. The main experimental and theoretical methods are introduced, and their cross-stimulated developments and recent advances are discussed. The different types of measured QCD observables at the LHC and their relation to fundamental QCD dynamics and impact on Standard Model parameter determinations are summarized. The impact of QCD-related observables on direct and indirect searches for rare processes within and beyond the Standard Model is outlined.
ANNUAL REVIEW OF NUCLEAR AND PARTICLE SCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Mary Touranakou, Nadezda Chernyavskaya, Javier Duarte, Dimitrios Gunopulos, Raghav Kansal, Breno Orzari, Maurizio Pierini, Thiago Tomei, Jean-Roch Vlimant
Summary: This study focuses on the use of deep variational autoencoders (VAEs) to simulate jets of particles at the Large Hadron Collider more efficiently. By training a deep VAE to represent the list of constituents after detection, the time-consuming detector simulation and the collision reconstruction steps can be bypassed, resulting in a significant speed-up in the events generation workflow. The research achieves state-of-the-art precision on the jet four-momentum and provides an accurate description of the constituents' momenta, while maintaining a comparable inference time to rule-based fast simulations.
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
(2022)
