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H. Fesefeldt

Bio: H. Fesefeldt is an academic researcher. The author has an hindex of 1, co-authored 1 publications receiving 144 citations.

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Journal ArticleDOI
S. Agostinelli1, John Allison2, K. Amako3, J. Apostolakis4, Henrique Araujo5, P. Arce4, Makoto Asai6, D. Axen4, S. Banerjee7, G. Barrand, F. Behner4, Lorenzo Bellagamba8, J. Boudreau9, L. Broglia10, A. Brunengo8, H. Burkhardt4, Stephane Chauvie, J. Chuma11, R. Chytracek4, Gene Cooperman12, G. Cosmo4, P. V. Degtyarenko13, Andrea Dell'Acqua4, G. Depaola14, D. Dietrich15, R. Enami, A. Feliciello, C. Ferguson16, H. Fesefeldt4, Gunter Folger4, Franca Foppiano, Alessandra Forti2, S. Garelli, S. Gianì4, R. Giannitrapani17, D. Gibin4, J. J. Gomez Y Cadenas4, I. González4, G. Gracia Abril4, G. Greeniaus18, Walter Greiner15, Vladimir Grichine, A. Grossheim4, Susanna Guatelli, P. Gumplinger11, R. Hamatsu19, K. Hashimoto, H. Hasui, A. Heikkinen20, A. S. Howard5, Vladimir Ivanchenko4, A. Johnson6, F.W. Jones11, J. Kallenbach, Naoko Kanaya4, M. Kawabata, Y. Kawabata, M. Kawaguti, S.R. Kelner21, Paul R. C. Kent22, A. Kimura23, T. Kodama24, R. P. Kokoulin21, M. Kossov13, Hisaya Kurashige25, E. Lamanna26, Tapio Lampén20, V. Lara4, Veronique Lefebure4, F. Lei16, M. Liendl4, W. S. Lockman, Francesco Longo27, S. Magni, M. Maire, E. Medernach4, K. Minamimoto24, P. Mora de Freitas, Yoshiyuki Morita3, K. Murakami3, M. Nagamatu24, R. Nartallo28, Petteri Nieminen28, T. Nishimura, K. Ohtsubo, M. Okamura, S. W. O'Neale29, Y. Oohata19, K. Paech15, J Perl6, Andreas Pfeiffer4, Maria Grazia Pia, F. Ranjard4, A.M. Rybin, S.S Sadilov4, E. Di Salvo8, Giovanni Santin27, Takashi Sasaki3, N. Savvas2, Y. Sawada, Stefan Scherer15, S. Sei24, V. Sirotenko4, David J. Smith6, N. Starkov, H. Stoecker15, J. Sulkimo20, M. Takahata23, Satoshi Tanaka30, E. Tcherniaev4, E. Safai Tehrani6, M. Tropeano1, P. Truscott31, H. Uno24, L. Urbán, P. Urban32, M. Verderi, A. Walkden2, W. Wander33, H. Weber15, J.P. Wellisch4, Torre Wenaus34, D.C. Williams, Douglas Wright6, T. Yamada24, H. Yoshida24, D. Zschiesche15 
TL;DR: The Gelfant 4 toolkit as discussed by the authors is a toolkit for simulating the passage of particles through matter, including a complete range of functionality including tracking, geometry, physics models and hits.
Abstract: G eant 4 is a toolkit for simulating the passage of particles through matter. It includes a complete range of functionality including tracking, geometry, physics models and hits. The physics processes offered cover a comprehensive range, including electromagnetic, hadronic and optical processes, a large set of long-lived particles, materials and elements, over a wide energy range starting, in some cases, from 250 eV and extending in others to the TeV energy range. It has been designed and constructed to expose the physics models utilised, to handle complex geometries, and to enable its easy adaptation for optimal use in different sets of applications. The toolkit is the result of a worldwide collaboration of physicists and software engineers. It has been created exploiting software engineering and object-oriented technology and implemented in the C++ programming language. It has been used in applications in particle physics, nuclear physics, accelerator design, space engineering and medical physics.

18,904 citations

Journal ArticleDOI
John Allison1, K. Amako2, John Apostolakis3, Pedro Arce4, Makoto Asai5, Tsukasa Aso6, Enrico Bagli, Alexander Bagulya7, Sw. Banerjee8, G. Barrand9, B. R. Beck10, Alexey Bogdanov11, D. Brandt, Jeremy M. C. Brown12, Helmut Burkhardt3, Ph Canal8, D. Cano-Ott4, Stephane Chauvie, Kyung-Suk Cho13, G.A.P. Cirrone14, Gene Cooperman15, M. A. Cortés-Giraldo16, G. Cosmo3, Giacomo Cuttone14, G.O. Depaola17, Laurent Desorgher, X. Dong15, Andrea Dotti5, Victor Daniel Elvira8, Gunter Folger3, Ziad Francis18, A. Galoyan19, L. Garnier9, M. Gayer3, K. Genser8, Vladimir Grichine3, Vladimir Grichine7, Susanna Guatelli20, Susanna Guatelli21, Paul Gueye22, P. Gumplinger23, Alexander Howard24, Ivana Hřivnáčová9, S. Hwang13, Sebastien Incerti25, Sebastien Incerti26, A. Ivanchenko3, Vladimir Ivanchenko3, F.W. Jones23, S. Y. Jun8, Pekka Kaitaniemi27, Nicolas A. Karakatsanis28, Nicolas A. Karakatsanis29, M. Karamitrosi30, M.H. Kelsey5, Akinori Kimura31, Tatsumi Koi5, Hisaya Kurashige32, A. Lechner3, S. B. Lee33, Francesco Longo34, M. Maire, Davide Mancusi, A. Mantero, E. Mendoza4, B. Morgan35, K. Murakami2, T. Nikitina3, Luciano Pandola14, P. Paprocki3, J Perl5, Ivan Petrović36, Maria Grazia Pia, W. Pokorski3, J. M. Quesada16, M. Raine, Maria A.M. Reis37, Alberto Ribon3, A. Ristic Fira36, Francesco Romano14, Giorgio Ivan Russo14, Giovanni Santin38, Takashi Sasaki2, D. Sawkey39, J. I. Shin33, Igor Strakovsky40, A. Taborda37, Satoshi Tanaka41, B. Tome, Toshiyuki Toshito, H.N. Tran42, Pete Truscott, L. Urbán, V. V. Uzhinsky19, Jerome Verbeke10, M. Verderi43, B. Wendt44, H. Wenzel8, D. H. Wright5, Douglas Wright10, T. Yamashita, J. Yarba8, H. Yoshida45 
TL;DR: Geant4 as discussed by the authors is a software toolkit for the simulation of the passage of particles through matter, which is used by a large number of experiments and projects in a variety of application domains, including high energy physics, astrophysics and space science, medical physics and radiation protection.
Abstract: Geant4 is a software toolkit for the simulation of the passage of particles through matter. It is used by a large number of experiments and projects in a variety of application domains, including high energy physics, astrophysics and space science, medical physics and radiation protection. Over the past several years, major changes have been made to the toolkit in order to accommodate the needs of these user communities, and to efficiently exploit the growth of computing power made available by advances in technology. The adaptation of Geant4 to multithreading, advances in physics, detector modeling and visualization, extensions to the toolkit, including biasing and reverse Monte Carlo, and tools for physics and release validation are discussed here.

2,260 citations

DOI
01 Jan 1994
TL;DR: GEANT as discussed by the authors is a system of detector description and simulation tools that help physicists in high energy particle physics experiments, and it can be used to design and optimise the detectors, develop and test the reconstruction and analysis programs, and interpret the experimental data.
Abstract: As the scale and complexity of High Energy Physics experiments increase, simulation studies require more and more care and become essential to design and optimise the detectors, develop and test the reconstruction and analysis programs, and interpret the experimental data. GEANT is a system of detector description and simulation tools that help physicists in such studies.

973 citations

Journal ArticleDOI
S. Adrián-Martínez1, M. Ageron2, Felix Aharonian3, Sebastiano Aiello  +243 moreInstitutions (24)
TL;DR: In this article, the main objectives of the KM3NeT Collaboration are (i) the discovery and subsequent observation of high-energy neutrino sources in the Universe and (ii) the determination of the mass hierarchy of neutrinos.
Abstract: The main objectives of the KM3NeT Collaboration are (i) the discovery and subsequent observation of high-energy neutrino sources in the Universe and (ii) the determination of the mass hierarchy of neutrinos. These objectives are strongly motivated by two recent important discoveries, namely: (1) the high-energy astrophysical neutrino signal reported by IceCube and (2) the sizable contribution of electron neutrinos to the third neutrino mass eigenstate as reported by Daya Bay, Reno and others. To meet these objectives, the KM3NeT Collaboration plans to build a new Research Infrastructure consisting of a network of deep-sea neutrino telescopes in the Mediterranean Sea. A phased and distributed implementation is pursued which maximises the access to regional funds, the availability of human resources and the synergistic opportunities for the Earth and sea sciences community. Three suitable deep-sea sites are selected, namely off-shore Toulon (France), Capo Passero (Sicily, Italy) and Pylos (Peloponnese, Greece). The infrastructure will consist of three so-called building blocks. A building block comprises 115 strings, each string comprises 18 optical modules and each optical module comprises 31 photo-multiplier tubes. Each building block thus constitutes a three-dimensional array of photo sensors that can be used to detect the Cherenkov light produced by relativistic particles emerging from neutrino interactions. Two building blocks will be sparsely configured to fully explore the IceCube signal with similar instrumented volume, different methodology, improved resolution and complementary field of view, including the galactic plane. One building block will be densely configured to precisely measure atmospheric neutrino oscillations.

729 citations