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1 |
Material Type: Artigo
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Refining fast simulation using machine learningBein, Samuel ; Connor, Patrick ; Pedro, Kevin ; Schleper, Peter ; Wolf, Moritz ; on behalf of the CMS CollaborationarXiv.org, 2023-09Ithaca: Cornell University Library, arXiv.orgTexto completo disponível |
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Material Type: Artigo
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TOF MLEM Adaptation for the Total-Body J-PET with a Realistic Analytical System Response MatrixShopa, R Y ; Baran, J ; Klimaszewski, K ; Krzemień, W ; Raczyński, L ; Wiślicki, W ; Brzeziński, K ; Chug, N ; Coussat, A ; Curceanu, C ; Czerwiński, E ; Dadgar, M ; Dulski, K ; Gajewski, J ; Gajos, A ; Hiesmayr, B C ; Valsan, E Kavya ; Korcyl, G ; Kozik, T ; Kumar, D ; Kapłon, Ł ; Moskal, G ; Niedźwiecki, S ; Panek, D ; Parzych, S ; Pérez del Rio, E ; Ruciński, A ; Sharma, S ; Shivani ; Silarski, M ; Skurzok, M ; Stȩpień, E ; F Tayefi Ardebili ; K Tayefi Ardebili ; Moskal, ParXiv.org, 2024-08Ithaca: Cornell University Library, arXiv.orgTexto completo disponível |
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Material Type: Artigo
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Simulating Monolithic Active Pixel Sensors: A Technology-Independent Approach Using Generic Doping ProfilesWennlöf, Håkan ; Dannheim, Dominik ; Manuel Del Rio Viera ; Dort, Katharina ; Eckstein, Doris ; Feindt, Finn ; Ingrid-Maria, Gregor ; Huth, Lennart ; Lachnit, Stephan ; Mendes, Larissa ; Rastorguev, Daniil ; Sara Ruiz Daza ; Schütze, Paul ; Simancas, Adriana ; Snoeys, Walter ; Spannagel, Simon ; Stanitzki, Marcel ; Tomal, Alessandra ; Velyka, Anastasiia ; Vignola, GianpieroarXiv.org, 2024-07Ithaca: Cornell University Library, arXiv.orgTexto completo disponível |
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Material Type: Artigo
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McStas (ii): An overview of components, their use, and advice for user contributionsWillendrup, P K ; Lefmann, KarXiv.org, 2021-01Ithaca: Cornell University Library, arXiv.orgTexto completo disponível |
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Material Type: Artigo
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Shower Separation in Five Dimensions for Highly Granular Calorimeters using Machine LearningLai, S ; Utehs, J ; Wilhahn, A ; Fouz, M C ; Bach, O ; Brianne, E ; Ebrahimi, A ; Gadow, K ; Göttlicher, P ; Hartbrich, O ; Heuchel, D ; Irles, A ; Krüger, K ; Kvasnicka, J ; S Lu ; Neubüser, C ; Provenza, A ; Reinecke, M ; Sefkow, F ; Schuwalow, S ; De Silva, M ; Sudo, Y ; Tran, H L ; Liu, L ; Masuda, R ; Murata, T ; Ootani, W ; Seino, T ; Takatsu, T ; Tsuji, N ; Pöschl, R ; Richard, F ; Zerwas, D ; Hummer, F ; Simon, F ; Boudry, V ; J-C Brient ; Nanni, J ; Videau, H ; Buhmann, E ; Garutti, E ; Huck, S ; Kasieczka, G ; Martens, S ; Rolph, J ; Wellhausen, J ; Bilki, B ; Northacker, D ; Onel, Y ; Emberger, L ; Graf, CarXiv.org, 2024-06Ithaca: Cornell University Library, arXiv.orgTexto completo disponível |
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Material Type: Artigo
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Numerical simulation of charging up, accumulation of space charge and formation of dischargesBhattacharya, Purba ; Promita Roy ; Dey, Tanay ; Datta, Jaydeep ; Rout, Prasant K ; Majumdar, Nayana ; Mukhopadhyay, SupratikarXiv.org, 2024-03Ithaca: Cornell University Library, arXiv.orgTexto completo disponível |
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Material Type: Artigo
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Photon Reconstruction in the Belle II Calorimeter Using Graph Neural NetworksWemmer, F ; Haide, I ; Eppelt, J ; Ferber, T ; Beaubien, A ; Branchini, P ; Campajola, M ; Cecchi, C ; Cheema, P ; De Nardo, G ; Hearty, C ; Kuzmin, A ; Longo, S ; Manoni, E ; Meier, F ; Merola, M ; Miyabayashi, K ; Moneta, S ; Remnev, M ; Roney, J M ; J -G Shiu ; Shwartz, B ; Unno, Y ; R van Tonder ; Volpe, RarXiv.org, 2024-03Ithaca: Cornell University Library, arXiv.orgTexto completo disponível |
8 |
Material Type: Artigo
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Parallelization of Garfield++ and neBEM to simulate space charge effects in RPCsDey, Tanay ; Bhattacharya, Purba ; Mukhopadhyay, Supratik ; Majumdar, Nayana ; Seal, Abhishek ; Chattopadhyay, SubhasisarXiv.org, 2023-10Ithaca: Cornell University Library, arXiv.orgTexto completo disponível |
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Material Type: Artigo
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Batch test of MRPC3b for CBM-TOF/STAR-eTOFWang, K ; Zhou, J ; Wang, X ; X Li ; D Hu ; Sun, YarXiv.org, 2023-08Ithaca: Cornell University Library, arXiv.orgTexto completo disponível |
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Material Type: Artigo
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Applying generative neural networks for fast simulations of the ALICE (CERN) experimentWojnar, MaksymilianarXiv.org, 2024-07Ithaca: Cornell University Library, arXiv.orgTexto completo disponível |