Zobrazeno 1 - 10
of 1 042
pro vyhledávání: '"Di Bello, Francesco A."'
Autor:
Kakati, Nilotpal, Dreyer, Etienne, Ivina, Anna, Di Bello, Francesco Armando, Heinrich, Lukas, Kado, Marumi, Gross, Eilam
In high energy physics, the ability to reconstruct particles based on their detector signatures is essential for downstream data analyses. A particle reconstruction algorithm based on learning hypergraphs (HGPflow) has previously been explored in the
Externí odkaz:
http://arxiv.org/abs/2410.23236
The reconstruction of particle tracks from hits in tracking detectors is a computationally intensive task due to the large combinatorics of detector signals. Recent efforts have proven that ML techniques can be successfully applied to the tracking pr
Externí odkaz:
http://arxiv.org/abs/2406.16752
Autor:
Coccaro, Andrea, Di Bello, Francesco Armando, Giagu, Stefano, Rambelli, Lucrezia, Stocchetti, Nicola
Publikováno v:
Mach.Learn.Sci.Tech. 4 (2023) 4, 045040
Experimental particle physics demands a sophisticated trigger and acquisition system capable to efficiently retain the collisions of interest for further investigation. Heterogeneous computing with the employment of FPGA cards may emerge as a trendin
Externí odkaz:
http://arxiv.org/abs/2307.05152
Autor:
Di Bello, Francesco Armando, Charkin-Gorbulin, Anton, Cranmer, Kyle, Dreyer, Etienne, Ganguly, Sanmay, Gross, Eilam, Heinrich, Lukas, Santi, Lorenzo, Kado, Marumi, Kakati, Nilotpal, Rieck, Patrick, Tusoni, Matteo
A configurable calorimeter simulation for AI (COCOA) applications is presented, based on the Geant4 toolkit and interfaced with the Pythia event generator. This open-source project is aimed to support the development of machine learning algorithms in
Externí odkaz:
http://arxiv.org/abs/2303.02101
Autor:
Di Bello, Francesco Armando, Dreyer, Etienne, Ganguly, Sanmay, Gross, Eilam, Heinrich, Lukas, Ivina, Anna, Kado, Marumi, Kakati, Nilotpal, Santi, Lorenzo, Shlomi, Jonathan, Tusoni, Matteo
Publikováno v:
Eur. Phys. J. C 83 (2023) 596
The task of reconstructing particles from low-level detector response data to predict the set of final state particles in collision events represents a set-to-set prediction task requiring the use of multiple features and their correlations in the in
Externí odkaz:
http://arxiv.org/abs/2212.01328
Autor:
Di Bello, Francesco Armando, Dreyer, Etienne, Ganguly, Sanmay, Gross, Eilam, Heinrich, Lukas, Kado, Marumi, Kakati, Nilotpal, Shlomi, Jonathan, Soybelman, Nathalie
The simulation of particle physics data is a fundamental but computationally intensive ingredient for physics analysis at the Large Hadron Collider, where observational set-valued data is generated conditional on a set of incoming particles. To accel
Externí odkaz:
http://arxiv.org/abs/2211.06406
Autor:
Butter, Anja, Plehn, Tilman, Schumann, Steffen, Badger, Simon, Caron, Sascha, Cranmer, Kyle, Di Bello, Francesco Armando, Dreyer, Etienne, Forte, Stefano, Ganguly, Sanmay, Gonçalves, Dorival, Gross, Eilam, Heimel, Theo, Heinrich, Gudrun, Heinrich, Lukas, Held, Alexander, Höche, Stefan, Howard, Jessica N., Ilten, Philip, Isaacson, Joshua, Janßen, Timo, Jones, Stephen, Kado, Marumi, Kagan, Michael, Kasieczka, Gregor, Kling, Felix, Kraml, Sabine, Krause, Claudius, Krauss, Frank, Kröninger, Kevin, Barman, Rahool Kumar, Luchmann, Michel, Magerya, Vitaly, Maitre, Daniel, Malaescu, Bogdan, Maltoni, Fabio, Martini, Till, Mattelaer, Olivier, Nachman, Benjamin, Pitz, Sebastian, Rojo, Juan, Schwartz, Matthew, Shih, David, Siegert, Frank, Stegeman, Roy, Stienen, Bob, Thaler, Jesse, Verheyen, Rob, Whiteson, Daniel, Winterhalder, Ramon, Zupan, Jure
Publikováno v:
SciPost Phys. 14, 079 (2023)
First-principle simulations are at the heart of the high-energy physics research program. They link the vast data output of multi-purpose detectors with fundamental theory predictions and interpretation. This review illustrates a wide range of applic
Externí odkaz:
http://arxiv.org/abs/2203.07460
Autor:
Di Bello, Francesco, de Angelis, Mario, Siech, Carolin, Jannello, Letizia Maria Ippolita, Peñaranda, Natali Rodriguez, Tian, Zhe, Goyal, Jordan A., Ruvolo, Claudia, Califano, Gianluigi, La Rocca, Roberto, Saad, Fred, Shariat, Shahrokh F., de Cobelli, Ottavio, Briganti, Alberto, Chun, Felix K.H., Puliatti, Stefano, Longo, Nicola, Karakiewicz, Pierre I.
Publikováno v:
In Clinical Genitourinary Cancer October 2024 22(5)
Autor:
Falkenbach, Fabian1,2 (AUTHOR) f.falkenbach@uke.de, Di Bello, Francesco1,3 (AUTHOR), Rodriguez Peñaranda, Natali1,4 (AUTHOR), Longoni, Mattia1,5,6 (AUTHOR), Marmiroli, Andrea1,7,8 (AUTHOR), Le, Quynh Chi1,9 (AUTHOR), Tian, Zhe1 (AUTHOR), Goyal, Jordan A.1 (AUTHOR), Longo, Nicola3 (AUTHOR), Micali, Salvatore4 (AUTHOR), Briganti, Alberto5,6 (AUTHOR), de Cobelli, Ottavio7,10 (AUTHOR), Chun, Felix K. H.9 (AUTHOR), Saad, Fred1 (AUTHOR), Shariat, Shahrokh F.11,12,13,14 (AUTHOR), Budäus, Lars2,15 (AUTHOR), Graefen, Markus2 (AUTHOR), Karakiewicz, Pierre I.1 (AUTHOR)
Publikováno v:
Cancers. Aug2024, Vol. 16 Issue 15, p2764. 9p.
Autor:
Siech, Carolin, Jannello, Letizia Maria Ippolita, de Angelis, Mario, Di Bello, Francesco, Goyal, Jordan A., Tian, Zhe, Saad, Fred, Shariat, Shahrokh F., Longo, Nicola, de Cobelli, Ottavio, Briganti, Alberto, Kosiba, Marina, Mandel, Philipp, Kluth, Luis A., Chun, Felix K.H., Karakiewicz, Pierre I.
Publikováno v:
In Current Problems in Surgery August 2024 61(8)