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NuWro Monte Carlo generator of events is presented. It is a numerical environment containing all necessary ingredients to simulate interactions of neutrinos with nucleons and nuclei in realistic experimental situation in wide neutrino…

High Energy Physics - Phenomenology · Physics 2016-01-20 Jakub Zmuda , Krzysztof M. Graczyk , Cezary Juszczak , Jan T. Sobczyk

Modeling of rare neutrino processes often relies on either simple approximations or expensive detector simulations. The former is often not sufficient for interactions with complex morphologies, while the latter is too time-intensive for…

High Energy Physics - Experiment · Physics 2024-06-06 Austin Schneider , Nicholas W. Kamp , Alex Y. Wen

Progress in neutrino-nucleus cross section models is being driven by the need for highly accurate predictions for the neutrino oscillation community. These sophisticated models are being developed within a microscopic description of the…

Nuclear Theory · Physics 2023-08-31 Minerba Betancourt , Steven Gardiner , Noemi Rocco , Noah Steinberg

A new release of the Monte Carlo event generator Herwig++ (version 2.6) is now available. This version comes with a number of improvements including: a new structure for the implementation of next-to-leading order matrix elements; an…

High Energy Physics - Phenomenology · Physics 2012-05-23 K. Arnold , L. d'Errico , S. Gieseke , D. Grellscheid , K. Hamilton , A. Papaefstathiou , S. Platzer , P. Richardson , C. Rohr , A. Schofield , A. Siodmok , M. Stoll , D. Winn

Neutrino-induced single-pion production constitutes an essential interaction channel in modern neutrino oscillation experiments, with its products building up a significant fraction of the observable hadronic final states. Frameworks of…

High Energy Physics - Phenomenology · Physics 2024-12-18 Qiyu Yan , Kajetan Niewczas , Alexis Nikolakopoulos , Raúl González-Jiménez , Natalie Jachowicz , Xianguo Lu , Jan Sobczyk , Yangheng Zheng

The GENIE neutrino Monte Carlo describes neutrino-induced hadronization with an effective model, known as AGKY, which is interfaced with PYTHIA at high invariant mass. Only the low-mass AGKY model parameters were extracted from hadronic…

The gSeaGen framework has been upgraded to simulate events detectable in neutrino telescopes induced by neutrino or cosmic ray interactions. The new version is well-suited to generate neutrino interactions at energies from a few MeV to EeV,…

High Energy Physics - Experiment · Physics 2021-09-13 A. Garcia Soto , C. Distefano , P. Kalaczyński

In this report we describe the implementation and approach developed during the GENIUS Project. The GENIUS project is about the generation of usable user interfaces. It tries to cope with issues related to automatic generation where,…

Human-Computer Interaction · Computer Science 2013-10-08 Jean-Sebastien Sottet , Alain Vagner

We describe how the main neutrino interaction generators (GENIE, NEUT and NuWro) used by current neutrino oscillation experiments treat the shallow and deep inelastic region. We then compare their predictions for charged current events in…

High Energy Physics - Phenomenology · Physics 2016-12-21 Christophe Bronner

HERWIG (Hadron Emission Reactions With Interfering Gluons) is a multipurpose Monte Carlo event generator for the simulation of hard collisions between hadrons, leptons and photons. This note describes the new features of version 5.9. These…

High Energy Physics - Phenomenology · Physics 2007-05-23 G. Marchesini , B. R. Webber , G. Abbiendi , I. G. Knowles , M. H. Seymour , L. Stanco

Neutron production in GeV-scale neutrino interactions is a poorly studied process. We have measured the neutron multiplicities in atmospheric neutrino interactions in the Sudbury Neutrino Observatory experiment and compared them to the…

High Energy Physics - Experiment · Physics 2019-06-20 SNO Collaboration , B. Aharmim , S. N. Ahmed , A. E. Anthony , N. Barros , E. W. Beier , A. Bellerive , B. Beltran , M. Bergevin , S. D. Biller , R. Bonventre , K. Boudjemline , M. G. Boulay , B. Cai , E. J. Callaghan , J. Caravaca , Y. D. Chan , D. Chauhan , M. Chen , B. T. Cleveland , G. A. Cox , X. Dai , H. Deng , F. B. Descamps , J. A. Detwiler , P. J. Doe , G. Doucas , P. -L. Drouin , M. Dunford , S. R. Elliott , H. C. Evans , G. T. Ewan , J. Farine , H. Fergani , F. Fleurot , R. J. Ford , J. A. Formaggio , N. Gagnon , K. Gilje , J. TM. Goon , K. Graham , E. Guillian , S. Habib , R. L. Hahn , A. L. Hallin , E. D. Hallman , P. J. Harvey , R. Hazama , W. J. Heintzelman , J. Heise , R. L. Helmer , A. Hime , C. Howard , M. Huang , P. Jagam , B. Jamieson , N. A. Jelley , M. Jerkins , K. J. Keeter , J. R. Klein , L. L. Kormos , M. Kos , A. Kruger , C. Kraus , C. B. Krauss , T. Kutter , C. C. M. Kyba , B. J. Land , R. Lange , J. Law , I. T. Lawson , K. T. Lesko , J. R. Leslie , I. Levine , J. C. Loach , R. MacLellan , S. Majerus , H. B. Mak , J. Maneira , R. D. Martin , A. Mastbaum , N. McCauley , A. B. McDonald , S. R. McGee , M. L. Miller , B. Monreal , J. Monroe , B. G. Nickel , A. J. Noble , H. M. O'Keeffe , N. S. Oblath , C. E. Okada , R. W. Ollerhead , G. D. Orebi Gann , S. M. Oser , R. A. Ott , S. J. M. Peeters , A. W. P. Poon , G. Prior , S. D. Reitzner , K. Rielage , B. C. Robertson , R. G. H. Robertson , M. H. Schwendener , J. A. Secrest , S. R. Seibert , O. Simard , D. Sinclair , J. Singh , P. Skensved , M. Smiley , T. J. Sonley , L. C. Stonehill , G. Tesic , N. Tolich , T. Tsui , R. Van Berg , B. A. VanDevender , C. J. Virtue , B. L. Wall , D. Waller , H. Wan Chan Tseung , D. L. Wark , J. Wendland , N. West , J. F. Wilkerson , J. R. Wilson , T. Winchester , A. Wright , M. Yeh , F. Zhang , K. Zuber

Data augmentation is crucial in training deep models, preventing them from overfitting to limited data. Recent advances in generative AI, e.g., diffusion models, have enabled more sophisticated augmentation techniques that produce data…

Computer Vision and Pattern Recognition · Computer Science 2024-11-08 Soroush Abbasi Koohpayegani , Anuj Singh , K L Navaneet , Hamed Pirsiavash , Hadi Jamali-Rad

A Monte Carlo simulator is presented to reproduce data of nucleus-nucleus interactions at high energies. The program is designed in a microscopic point of view, where the cascade approach is applied. Moreover, each nucleon from both the…

High Energy Physics - Phenomenology · Physics 2007-05-23 N. M. Hassan , N. El-Harby , M. T. Hussein

We constructed a new Monte Carlo generator of events for neutrino CC single pion production on free nucleon targets. The code uses dynamical models of the DIS with the PDFs modified according to the recent JLab data and of the Delta…

High Energy Physics - Phenomenology · Physics 2009-11-10 Jan T. Sobczyk , Jaroslaw A. Nowak , Krzysztof M. Graczyk

A new release of the Monte Carlo event generator Herwig++ (version 2.7) is now available. This version comes with a number of improvements including: an interface to the Universal FeynRules Output (UFO) format allowing the simulation of a…

High Energy Physics - Phenomenology · Physics 2013-10-28 J. Bellm , S. Gieseke , D. Grellscheid , A. Papaefstathiou , S. Platzer , P. Richardson , C. Rohr , T. Schuh , M. H. Seymour , A. Siodmok , A. Wilcock , B. Zimmermann

Neutrino event generators are an essential tool needed for the extraction of neutrino mixing parameters, the mass hierarchy and a CP violating phase from long-baseline experiments. In this article I first describe the theoretical basis and…

High Energy Physics - Experiment · Physics 2019-09-02 Ulrich Mosel

NUISANCE is an open source C++ framework which facilitates detailed studies of neutrino interaction cross-section models implemented in Monte Carlo neutrino event generators. It provides a host of automated methods to perform comparisons of…

High Energy Physics - Experiment · Physics 2018-06-12 P. Stowell , C. Wret , C. Wilkinson , L. Pickering , S. Cartwright , Y. Hayato , K. Mahn , K. S. McFarland , J. Sobczyk , R. Terri , L. Thompson , M. O. Wascko , Y. Uchida

We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the…

High Energy Physics - Experiment · Physics 2023-02-17 C. Adams , R. An , J. Anthony , J. Asaadi , M. Auger , S. Balasubramanian , B. Baller , C. Barnes , G. Barr , M. Bass , F. Bay , A. Bhat , K. Bhattacharya , M. Bishai , A. Blake , T. Bolton , L. Camilleri , D. Caratelli , R. Castillo Fernandez , F. Cavanna , G. Cerati , H. Chen , Y. Chen , E. Church , D. Cianci , E. Cohen , G. H. Collin , J. M. Conrad , M. Convery , L. Cooper-Troendle , J. I. Crespo-Anadon , M. Del Tutto , D. Devitt , A. Diaz , S. Dytman , B. Eberly , A. Ereditato , L. Escudero Sanchez , J. Esquivel , J. J Evans , A. A. Fadeeva , B. T. Fleming , W. Foreman , A. P. Furmanski , D. Garcia-Gamez , G. T. Garvey , V. Genty , D. Goeldi , S. Gollapinni , E. Gramellini , H. Greenlee , R. Grosso , R. Guenette , P. Guzowski , A. Hackenburg , P. Hamilton , O. Hen , V Hewes , C. Hill , J. Ho , G. A. Horton-Smith , A. Hourlier , E. -C. Huang , C. James , J. Jan de Vries , L. Jiang , R. A. Johnson , J. Joshi , H. Jostlein , Y. -J. Jwa , D. Kaleko , G. Karagiorgi , W. Ketchum , B. Kirby , M. Kirby , T. Kobilarcik , I. Kreslo , Y. Li , A. Lister , B. R. Littlejohn , S. Lockwitz , D. Lorca , W. C. Louis , M. Luethi , B. Lundberg , X. Luo , A. Marchionni , S. Marcocci , C. Mariani , J. Marshall , D. A. Martinez Caicedo , A. Mastbaum , V. Meddage , T. Mettler , T. Miceli , G. B. Mills , A. Mogan , J. Moon , M. Mooney , C. D. Moore , J. Mousseau , M. Murphy , R. Murrells , D. Naples , P. Nienaber , J. Nowak , O. Palamara , V. Pandey , V. Paolone , A. Papadopoulou , V. Papavassiliou , S. F. Pate , Z. Pavlovic , E. Piasetzky , D. Porzio , G. Pulliam , X. Qian , J. L. Raaf , A. Rafique , L. Rochester , M. Ross-Lonergan , C. Rudolf von Rohr , B. Russell , D. W. Schmitz , A. Schukraft , W. Seligman , M. H. Shaevitz , J. Sinclair , A. Smith , E. L. Snider , M. Soderberg , S. Soldner-Rembold , S. R. Soleti , P. Spentzouris , J. Spitz , J. St. John , T. Strauss , K. Sutton , S. Sword-Fehlberg , A. M. Szelc , N. Tagg , W. Tang , K. Terao , M. Thomson , M. Toups , Y. -T. Tsai , S. Tufanli , T. Usher , W. Van De Pontseele , R. G. Van de Water , B. Viren , M. Weber , H. Wei , D. A. Wickremasinghe , K. Wierman , Z. Williams , S. Wolbers , T. Wongjirad , K. Woodruff , T. Yang , G. Yarbrough , L. E. Yates , G. P. Zeller , J. Zennamo , C. Zhang

Monte Carlo simulation is an essential tool in emission tomography that can assist in the design of new medical imaging devices, the optimization of acquisition protocols, and the development or assessment of image reconstruction algorithms…

Artificial Intelligence (AI) incorporating genetic and medical information have been applied in disease risk prediction, unveiling disease mechanism, and advancing therapeutics. However, AI training relies on highly sensitive and private…