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In this article we study the prospects of the proposed Large Hadron electron Collider (LHeC) in the search for heavy neutral scalar particles. We consider a minimal model with one additional complex scalar singlet that interacts with the…

High Energy Physics - Phenomenology · Physics 2019-08-26 Luigi Delle Rose , Oliver Fischer , A. Hammad

The production of the \mssm\ Higgs bosons $H^0,h^0,A^0$ and $H^\pm$, in the intermediate mass range of the $A^0$, at two different values of $\tan\beta$, is studied at the possible CERN LEP$\otimes$LHC $ep$ collider, through $\gamma p$…

High Energy Physics - Phenomenology · Physics 2014-11-17 Ghadir Abu Leil , Stefano Moretti

We present a scalable technique for the simulation of collider events with multi-jet final states, based on an improved parton-level event file format. The method is implemented for both leading- and next-to-leading order QCD calculations.…

High Energy Physics - Phenomenology · Physics 2023-11-09 Enrico Bothmann , Taylor Childers , Christian Guetschow , Stefan Höche , Paul Hovland , Joshua Isaacson , Max Knobbe , Robert Latham

We propose a framework to model the distribution of sequential data coming from a set of entities connected in a graph with a known topology. The method is based on a mixture of shared hidden Markov models (HMMs), which are jointly trained…

Machine Learning · Computer Science 2019-04-02 Diogo Pernes , Jaime S. Cardoso

Particle-level measurements, especially of differential cross-sections, made in fiducial regions of phase-space have a high degree of model-independence and can therefore be used to give information about a wide variety of Beyond the…

High Energy Physics - Phenomenology · Physics 2019-10-02 J. M. Butterworth

At the Large Hadron Collider (LHC) at the European Organization for Nuclear Research (CERN), protons and heavy ions are accelerated to velocities close to the speed of light and collided in order to study particle interactions and give us…

High Energy Physics - Experiment · Physics 2019-05-16 Jory Sonneveld

VBFNLO is a fully flexible parton level Monte Carlo program for the simulation of vector boson fusion, double and triple vector boson production in hadronic collisions at next-to-leading order in the strong coupling constant. VBFNLO…

High Energy Physics - Phenomenology · Physics 2009-08-25 K. Arnold , M. Bahr , G. Bozzi , F. Campanario , C. Englert , T. Figy , N. Greiner , C. Hackstein , V. Hankele , B. Jager , G. Klamke , M. Kubocz , C. Oleari , S. Platzer , S. Prestel , M. Worek , D. Zeppenfeld

High energy collisions at the High-Luminosity Large Hadron Collider (LHC) produce a large number of particles along the beam collision axis, outside of the acceptance of existing LHC experiments. The proposed Forward Physics Facility (FPF),…

High Energy Physics - Experiment · Physics 2023-02-01 Jonathan L. Feng , Felix Kling , Mary Hall Reno , Juan Rojo , Dennis Soldin , Luis A. Anchordoqui , Jamie Boyd , Ahmed Ismail , Lucian Harland-Lang , Kevin J. Kelly , Vishvas Pandey , Sebastian Trojanowski , Yu-Dai Tsai , Jean-Marco Alameddine , Takeshi Araki , Akitaka Ariga , Tomoko Ariga , Kento Asai , Alessandro Bacchetta , Kincso Balazs , Alan J. Barr , Michele Battistin , Jianming Bian , Caterina Bertone , Weidong Bai , Pouya Bakhti , A. Baha Balantekin , Basabendu Barman , Brian Batell , Martin Bauer , Brian Bauer , Mathias Becker , Asher Berlin , Enrico Bertuzzo , Atri Bhattacharya , Marco Bonvini , Stewart T. Boogert , Alexey Boyarsky , Joseph Bramante , Vedran Brdar , Adrian Carmona , David W. Casper , Francesco Giovanni Celiberto , Francesco Cerutti , Grigorios Chachamis , Garv Chauhan , Matthew Citron , Emanuele Copello , Jean-Pierre Corso , Luc Darmé , Raffaele Tito D'Agnolo , Neda Darvishi , Arindam Das , Giovanni De Lellis , Albert De Roeck , Jordy de Vries , Hans P. Dembinski , Sergey Demidov , Patrick deNiverville , Peter B. Denton , Frank F. Deppisch , P. S. Bhupal Dev , Antonia Di Crescenzo , Keith R. Dienes , Milind V. Diwan , Herbi K. Dreiner , Yong Du , Bhaskar Dutta , Pit Duwentäster , Lucie Elie , Sebastian A. R. Ellis , Rikard Enberg , Yasaman Farzan , Max Fieg , Ana Luisa Foguel , Patrick Foldenauer , Saeid Foroughi-Abari , Jean-François Fortin , Alexander Friedland , Elina Fuchs , Michael Fucilla , Kai Gallmeister , Alfonso Garcia , Carlos A. García Canal , Maria Vittoria Garzelli , Rhorry Gauld , Sumit Ghosh , Anish Ghoshal , Stephen Gibson , Francesco Giuli , Victor P. Gonçalves , Dmitry Gorbunov , Srubabati Goswami , Silvia Grau , Julian Y. Günther , Marco Guzzi , Andrew Haas , Timo Hakulinen , Steven P. Harris , Julia Harz , Juan Carlos Helo Herrera , Christopher S. Hill , Martin Hirsch , Timothy J. Hobbs , Stefan Höche , Andrzej Hryczuk , Fei Huang , Tomohiro Inada , Angelo Infantino , Ameen Ismail , Richard Jacobsson , Sudip Jana , Yu Seon Jeong , Tomas Ježo , Yongsoo Jho , Krzysztof Jodłowski , Dmitry Kalashnikov , Timo J. Kärkkäinen , Cynthia Keppel , Jongkuk Kim , Michael Klasen , Spencer R. Klein , Pyungwon Ko , Dominik Köhler , Masahiro Komatsu , Karol Kovařík , Suchita Kulkarni , Jason Kumar , Karan Kumar , Jui-Lin Kuo , Frank Krauss , Aleksander Kusina , Maxim Laletin , Chiara Le Roux , Seung J. Lee , Hye-Sung Lee , Helena Lefebvre , Jinmian Li , Shuailong Li , Yichen Li , Wei Liu , Zhen Liu , Mickael Lonjon , Kun-Feng Lyu , Rafal Maciula , Roshan Mammen Abraham , Mohammad R. Masouminia , Josh McFayden , Oleksii Mikulenko , Mohammed M. A. Mohammed , Kirtimaan A. Mohan , Jorge G. Morfín , Ulrich Mosel , Martin Mosny , Khoirul F. Muzakka , Pavel Nadolsky , Toshiyuki Nakano , Saurabh Nangia , Angel Navascues Cornago , Laurence J. Nevay , Pierre Ninin , Emanuele R. Nocera , Takaaki Nomura , Rui Nunes , Nobuchika Okada , Fred Olness , John Osborne , Hidetoshi Otono , Maksym Ovchynnikov , Alessandro Papa , Junle Pei , Guillermo Peon , Gilad Perez , Luke Pickering , Simon Plätzer , Ryan Plestid , Tanmay Kumar Poddar , Mudit Rai , Meshkat Rajaee , Digesh Raut , Peter Reimitz , Filippo Resnati , Wolfgang Rhode , Peter Richardson , Adam Ritz , Hiroki Rokujo , Leszek Roszkowski , Tim Ruhe , Richard Ruiz , Marta Sabate-Gilarte , Alexander Sandrock , Ina Sarcevic , Subir Sarkar , Osamu Sato , Christiane Scherb , Ingo Schienbein , Holger Schulz , Pedro Schwaller , Sergio J. Sciutto , Dipan Sengupta , Lesya Shchutska , Takashi Shimomura , Federico Silvetti , Kuver Sinha , Torbjörn Sjöstrand , Jan T. Sobczyk , Huayang Song , Jorge F. Soriano , Yotam Soreq , Anna Stasto , David Stuart , Shufang Su , Wei Su , Antoni Szczurek , Zahra Tabrizi , Yosuke Takubo , Marco Taoso , Brooks Thomas , Pierre Thonet , Douglas Tuckler , Agustin Sabio Vera , Heinz Vincke , K. N. Vishnudath , Zeren Simon Wang , Martin W. Winkler , Wenjie Wu , Keping Xie , Xun-Jie Xu , Tevong You , Ji-Young Yu , Jiang-Hao Yu , Korinna Zapp , Yongchao Zhang , Yue Zhang , Guanghui Zhou , Renata Zukanovich Funchal

The new version of the parton shower module APACIC++ for the SHERPA event generator framework is presented. It incorporates some features, that are specific for the consistent merging with multi-particle matrix elements at tree-level. This…

High Energy Physics - Phenomenology · Physics 2014-11-18 F. Krauss , A. Schaelicke , G. Soff

We present pmuGE (phasor measurement unit Generator of Events), one of the first data-driven generative model for power system event data. We have trained this model on thousands of actual events and created a dataset denoted pmuBAGE (the…

Machine Learning · Computer Science 2022-04-05 Brandon Foggo , Koji Yamashita , Nanpeng Yu

Data Acquisition and Control Systems used in high energy physics experiments, such as those which will take place in the Large Hadron Collider (LHC) at CERN, require the specification of data formats and transmission protocols as well as…

Instrumentation and Detectors · Physics 2009-09-29 Joaquim E. Neves , Richard Jacobsson , Niko Neufeld , Beat Jost

The CMS data on the multiplicity distributions are compared with the results from the 8.142 version of the PYTHIA MC event generator with the default tuning and realistic impact parameter profile. The agreement is reasonable. However, it…

High Energy Physics - Phenomenology · Physics 2011-03-24 K. Fialkowski , R. Wit

In this contribution the new event generation framework Sherpa will be presented. It aims at the full simulation of events at current and future high-energy experiments, in particular the LHC. Some results related to the production of jets…

High Energy Physics - Phenomenology · Physics 2008-12-18 T. Gleisberg , S. Hoeche , F. Krauss , A. Schaelicke , S. Schumann , J. Winter

We present an improved version of GENXICC, which is a generator for hadronic production of the doubly heavy baryons $\Xi_{cc}$, $\Xi_{bc}$ and $\Xi_{bb}$ and has been raised by C.H. Chang, J.X. Wang and X.G. Wu [Comput. Phys. Commun. 177…

High Energy Physics - Phenomenology · Physics 2013-01-01 Xian-You Wang , Xing-Gang Wu

A complete parton level analysis of lv + four jets production at the LHC is presented, including all processes at order O(alpha^6), O(alpha^4*alpha_s^2) and O(alpha^2*alpha_s^4). The infinite Higgs mass scenario, which is considered as a…

High Energy Physics - Phenomenology · Physics 2010-01-15 Alessandro Ballestrero , Giuseppe Bevilacqua , Ezio Maina

The complete matrix elements for $e^+e^-\to b\bar bW^\pm H^\mp$ and $e^+e^-\to b\bar bH^+H^-$ are computed at tree-level within the Minimal Supersymmetric Standard Model. Rates of interest to phenomenological analyses at the Next Linear…

High Energy Physics - Phenomenology · Physics 2011-09-13 S. Moretti , K. Odagiri

Concurrent ML's events and event combinators facilitate modular concurrent programming with first-class synchronization abstractions. A standard implementation of these abstractions relies on fairly complex manipulations of first-class…

Programming Languages · Computer Science 2008-05-28 Avik Chaudhuri

The Standard Model violates parity, but only by mechanisms which are invisible to Large Hadron Collider (LHC) experiments (on account of the lack of initial state polarisation or spin-sensitivity in the detectors). Nonetheless, new physical…

High Energy Physics - Experiment · Physics 2019-12-18 Christopher G. Lester , Matthias Schott

Recent NeRF methods on large-scale scenes have underlined the importance of scene decomposition for scalable NeRFs. Although achieving reasonable scalability, there are several critical problems remaining unexplored, i.e., learnable…

Computer Vision and Pattern Recognition · Computer Science 2025-08-26 Zhenxing Mi , Ping Yin , Xue Xiao , Dan Xu
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