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An important area of high energy physics studies at the Large Hadron Collider (LHC) currently concerns the need for more extensive and precise comparison data. Important tools in this realm are event reweighing and evaluation of more…

Computational Physics · Physics 2023-12-13 Zenny Wettersten , Olivier Mattelaer , Stefan Roiser , Robert Schöfbeck , Andrea Valassi

This is the manual and user guide for the Rivet system for the validation and tuning of Monte Carlo event generators for high energy physics. As well as the core Rivet library, this manual describes the usage of the rivet program and the…

High Energy Physics - Phenomenology · Physics 2021-01-13 Andy Buckley , Jonathan Butterworth , David Grellscheid , Hendrik Hoeth , Leif Lonnblad , James Monk , Holger Schulz , Frank Siegert

Accurate modeling of the absorption of tens-of-MeV $\nu_e$ on $^{40}$Ar is needed to enable measurements of astrophysical neutrinos using large liquid argon time projection chamber (LArTPC) detectors, such as those planned for the Deep…

High Energy Physics - Phenomenology · Physics 2026-04-30 Steven Gardiner , Pablo Barham Alzás , Alexis Nikolakopoulos , Luca H. Abu El-Haj , Natalie Jachowicz , Vishvas Pandey

In this contribution the new event generation framework SHERPA will be presented, which aims at a full simulation of events at current and future high-energy experiments. Some first results exemplify its capabilities.

High Energy Physics - Phenomenology · Physics 2007-05-23 T. Gleisberg , S. Hoeche , F. Krauss , A. Schaelicke , S. Schumann , J. Winter , G. Soff

We describe the multi-purpose Monte-Carlo event generator WHIZARD for the simulation of high-energy particle physics experiments. Besides the presentation of the general features of the program like SM physics, BSM physics, and QCD effects,…

High Energy Physics - Phenomenology · Physics 2014-10-17 J. Reuter , F. Bach , B. Chokoufe Nejad , W. Kilian , T. Ohl , M. Sekulla , C. Weiss

We present a next generation of multi-particle Monte Carlo (MC) Event generators for LHC and ILC for the MSSM, namely the three program packages Madgraph/MadEvent, WHiZard/O'Mega and Sherpa/Amegic++. The interesting but difficult…

High Energy Physics - Phenomenology · Physics 2014-11-18 J. Reuter , K. Hagiwara , W. Kilian , F. Krauss , T. Ohl , T. Plehn , D. Rainwater , S. Schumann

Neutrino oscillation measurements depend on a difference between the rate of neutrino-nucleus interactions at different neutrino energies or different distances from the source. Knowledge of the neutrino energy spectrum and…

High Energy Physics - Experiment · Physics 2016-10-12 L. B. Weinstein , O. Hen , E. Piasetzky

The matrix element (ME) calculation in any Monte Carlo physics event generator is an ideal fit for implementing data parallelism with lockstep processing on GPUs and vector CPUs. For complex physics processes where the ME calculation is the…

We present a high-energy neutrino event generator, called LeptonInjector, alongside an event weighter, called LeptonWeighter. Both are designed for large-volume Cherenkov neutrino telescopes such as IceCube. The neutrino event generator…

Computational Physics · Physics 2021-06-15 R. Abbasi , M. Ackermann , J. Adams , J. A. Aguilar , M. Ahlers , M. Ahrens , C. Alispach , A. A. Alves , N. M. Amin , R. An , K. Andeen , T. Anderson , I. Ansseau , G. Anton , C. Argüelles , S. Axani , X. Bai , A. Balagopal V. , A. Barbano , S. W. Barwick , B. Bastian , V. Basu , V. Baum , S. Baur , R. Bay , J. J. Beatty , K. -H. Becker , J. Becker Tjus , C. Bellenghi , S. BenZvi , D. Berley , E. Bernardini , D. Z. Besson , G. Binder , D. Bindig , E. Blaufuss , S. Blot , S. Böser , O. Botner , J. Böttcher , E. Bourbeau , J. Bourbeau , F. Bradascio , J. Braun , S. Bron , J. Brostean-Kaiser , A. Burgman , R. S. Busse , M. A. Campana , C. Chen , D. Chirkin , S. Choi , B. A. Clark , K. Clark , L. Classen , A. Coleman , G. H. Collin , J. M. Conrad , P. Coppin , P. Correa , D. F. Cowen , R. Cross , P. Dave , C. De Clercq , J. J. DeLaunay , H. Dembinski , K. Deoskar , S. De Ridder , A. Desai , P. Desiati , K. D. de Vries , G. de Wasseige , M. de With , T. DeYoung , S. Dharani , A. Diaz , J. C. Díaz-Vélez , H. Dujmovic , M. Dunkman , M. A. DuVernois , E. Dvorak , T. Ehrhardt , P. Eller , R. Engel , J. Evans , P. A. Evenson , S. Fahey , A. R. Fazely , S. Fiedlschuster , A. T. Fienberg , K. Filimonov , C. Finley , L. Fischer , D. Fox , A. Franckowiak , E. Friedman , A. Fritz , P. Fürst , T. K. Gaisser , J. Gallagher , E. Ganster , S. Garrappa , L. Gerhardt , A. Ghadimi , C. Glaser , T. Glauch , T. Glüsenkamp , A. Goldschmidt , J. G. Gonzalez , S. Goswami , D. Grant , T. Grégoire , Z. Griffith , S. Griswold , M. Gündüz , C. Haack , A. Hallgren , R. Halliday , L. Halve , F. Halzen , M. Ha Minh , K. Hanson , J. Hardin , A. A. Harnisch , A. Haungs , S. Hauser , D. Hebecker , K. Helbing , F. Henningsen , E. C. Hettinger , S. Hickford , J. Hignight , C. Hill , G. C. Hill , K. D. Hoffman , R. Hoffmann , T. Hoinka , B. Hokanson-Fasig , K. Hoshina , F. Huang , M. Huber , T. Huber , K. Hultqvist , M. Hünnefeld , R. Hussain , S. In , N. Iovine , A. Ishihara , M. Jansson , G. S. Japaridze , M. Jeong , B. J. P. Jones , R. Joppe , D. Kang , W. Kang , X. Kang , A. Kappes , D. Kappesser , T. Karg , M. Karl , A. Karle , U. Katz , M. Kauer , M. Kellermann , J. L. Kelley , A. Kheirandish , J. Kim , K. Kin , T. Kintscher , J. Kiryluk , S. R. Klein , R. Koirala , H. Kolanoski , L. Köpke , C. Kopper , S. Kopper , D. J. Koskinen , P. Koundal , M. Kovacevich , M. Kowalski , K. Krings , G. Krückl , N. Kurahashi , A. Kyriacou , C. Lagunas Gualda , J. L. Lanfranchi , M. J. Larson , F. Lauber , J. P. Lazar , K. Leonard , A. Leszczyńska , Y. Li , Q. R. Liu , E. Lohfink , C. J. Lozano Mariscal , L. Lu , F. Lucarelli , A. Ludwig , W. Luszczak , Y. Lyu , W. Y. Ma , J. Madsen , K. B. M. Mahn , Y. Makino , P. Mallik , S. Mancina , I. C. Mariş , R. Maruyama , K. Mase , F. McNally , K. Meagher , A. Medina , M. Meier , S. Meighen-Berger , J. Merz , J. Micallef , D. Mockler , G. Momenté , T. Montaruli , R. W. Moore , R. Morse , M. Moulai , R. Naab , R. Nagai , U. Naumann , J. Necker , L. V. Nguyen , H. Niederhausen , M. U. Nisa , S. C. Nowicki , D. R. Nygren , A. Obertacke Pollmann , M. Oehler , A. Olivas , E. O'Sullivan , H. Pandya , D. V. Pankova , N. Park , G. K. Parker , E. N. Paudel , P. Peiffer , C. Pérez de los Heros , S. Philippen , D. Pieloth , S. Pieper , A. Pizzuto , M. Plum , Y. Popovych , A. Porcelli , M. Prado Rodriguez , P. B. Price , B. Pries , G. T. Przybylski , C. Raab , A. Raissi , M. Rameez , K. Rawlins , I. C. Rea , A. Rehman , R. Reimann , M. Renschler , G. Renzi , E. Resconi , S. Reusch , W. Rhode , M. Richman , B. Riedel , S. Robertson , G. Roellinghoff , M. Rongen , C. Rott , T. Ruhe , D. Ryckbosch , D. Rysewyk Cantu , I. Safa , S. E. Sanchez Herrera , A. Sandrock , J. Sandroos , M. Santander , S. Sarkar , S. Sarkar , K. Satalecka , M. Scharf , M. Schaufel , H. Schieler , P. Schlunder , T. Schmidt , A. Schneider , J. Schneider , F. G. Schröder , L. Schumacher , S. Sclafani , D. Seckel , S. Seunarine , A. Sharma , S. Shefali , M. Silva , B. Skrzypek , B. Smithers , R. Snihur , J. Soedingrekso , D. Soldin , G. M. Spiczak , C. Spiering , J. Stachurska , M. Stamatikos , T. Stanev , R. Stein , J. Stettner , A. Steuer , T. Stezelberger , R. G. Stokstad , T. Stuttard , G. W. Sullivan , I. Taboada , F. Tenholt , S. Ter-Antonyan , S. Tilav , F. Tischbein , K. Tollefson , L. Tomankova , C. Tönnis , S. Toscano , D. Tosi , A. Trettin , M. Tselengidou , C. F. Tung , A. Turcati , R. Turcotte , C. F. Turley , J. P. Twagirayezu , B. Ty , M. A. Unland Elorrieta , N. Valtonen-Mattila , J. Vandenbroucke , D. van Eijk , N. van Eijndhoven , D. Vannerom , J. van Santen , S. Verpoest , M. Vraeghe , C. Walck , A. Wallace , T. B. Watson , C. Weaver , A. Weindl , M. J. Weiss , J. Weldert , C. Wendt , J. Werthebach , M. Weyrauch , B. J. Whelan , N. Whitehorn , K. Wiebe , C. H. Wiebusch , D. R. Williams , M. Wolf , K. Woschnagg , G. Wrede , J. Wulff , X. W. Xu , Y. Xu , J. P. Yanez , S. Yoshida , T. Yuan , Z. Zhang

The application of Bayesian Neural Networks(BNN) to discriminate neutrino events from backgrounds in reactor neutrino experiments has been described in Ref.\cite{key-1}. In the paper, BNN are also used to identify neutrino events in reactor…

Data Analysis, Statistics and Probability · Physics 2009-03-12 Ye Xu , WeiWei Xu , YiXiong Meng , Bin Wu

The thesis arises in the context of deep learning applications to particle physics. The dissertation follows two main parallel streams: the development of hardware-accelerated tools for event simulation in high-energy collider physics, and…

High Energy Physics - Phenomenology · Physics 2023-02-08 Marco Rossi

We present an open-source code for the simulation of electron and ion transport for user-defined gas mixtures with static uniform electric and magnetic fields. The program provides microscopic interaction simulation and is interfaced with…

Computational Physics · Physics 2021-09-14 Michele Renda , Dan Andrei Ciubotaru , Calin Iulian Banu

An event generator for nuclear collisions is a microscopic model, obtained from extrapolating elementary interactions -- as electron-positron annihilation, deep inelastic scattering, and proton-proton interactions -- towards proton-nucleus…

High Energy Physics - Phenomenology · Physics 2009-11-07 K. Werner

A major new release of the Monte Carlo event generator Herwig++ (version 3.0) is now available. This release marks the end of distinguishing Herwig++ and HERWIG development and therefore constitutes the first major release of version 7 of…

The interactions of low-energy neutrinos with nuclei provide a unique window to explore various Standard Model (SM) and Beyond the Standard Model (BSM) processes. In particular, the recent observation of coherent elastic neutrino-nucleus…

High Energy Physics - Phenomenology · Physics 2024-12-25 S. Carey , V. Pandey

Recent developments in the physical model of 1 MeV to 100 TeV hadron and lepton interactions with nuclei and atoms are described. These include a new nuclear cross section library, a model for soft pion production, the cascade-exciton…

Nuclear Theory · Physics 2007-05-23 N. V. Mokhov , S. I. Striganov , A. Van Ginneken , S. G. Mashnik , A. J. Sierk , J. Ranft

This is the user's manual of MC@NLO 4.0. This package is a practical implementation, based upon the Fortran HERWIG and Herwig++ event generators, of the MC@NLO formalism, which allows one to incorporate NLO QCD matrix elements consistently…

High Energy Physics - Phenomenology · Physics 2010-10-06 Stefano Frixione , Fabian Stoeckli , Paolo Torrielli , Bryan R. Webber , Chris D. White

A new release of the Monte Carlo program HERWIG (version 6.5) is now available. The main new features are: support for the Les Houches interface to matrix element generators; additional SM and MSSM Higgs processes in lepton collisions;…

High Energy Physics - Phenomenology · Physics 2007-05-23 G Corcella , IG Knowles , G Marchesini , S Moretti , K Odagiri , P Richardson , MH Seymour , BR Webber

The neutrino-nucleus reactions are studied at energies from 0 to 3 GeV, using the CRISP program. To simulate these reactions, CRISP uses the Monte Carlo method through an intranuclear cascade model. Quase-elastic and baryonic resonance…

Nuclear Theory · Physics 2022-04-06 R. Perez , A. Deppman , Evandro Andrade-II , A. R. Samana , F. G. Velasco , F. Guzmán
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