Results 11 to 20 of about 552,537 (332)
Pattern recognition and event reconstruction in particle physics experiments [PDF]
Reports on Progress in Physics, 2004 This report reviews methods of pattern recognition and event reconstruction used in modern high energy physics experiments. After a brief introduction into general concepts of particle detectors and statistical evaluation, different approaches in global and local methods of track pattern recognition are reviewed with their typical strengths and ...
R Mankel
semanticscholar +6 more sources
Efficient discrete-event based particle tracking simulation for high energy physics [PDF]
Computer Physics Communications, 2020 Accepted for publication in Computer Physics ...
Lucio Santi, L. Rossi, Rodrigo Castro
openalex +5 more sources
Minimising Event Size, Maximising Physics: Inclusive Particle Isolation for LHCb's Run 3 [PDF]
The Run 3 of the LHC brings unprecedented luminosity and a surge in data volume to the LHCb detector, necessitating a critical reduction in the size of each reconstructed event without compromising the physics reach of the heavy-flavour programme. While signal decays typically involve just a few charged particles, a single proton-proton collision ...
Calvi, Marta +14 more
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Event-by-Event Investigation of the Two-Particle Source Function in Heavy-Ion Collisions with EPOS [PDF]
Entropy, 2022 Exploring the shape of the pair-source function for particles such as pions or kaons has been an important goal of heavy-ion physics, and substantial effort has been made in order to understand the underlying physics behind the experimental observations ...
Dániel Kincses +2 more
doaj +2 more sources
Baryon production from cluster hadronisation [PDF]
European Physical Journal C: Particles and Fields, 2018 We present an extension to the colour reconnection model in the Monte Carlo event generator Herwig to account for the production of baryons and compare it to a series of observables for soft physics.
Stefan Gieseke +2 more
doaj +4 more sources
Cryogenic scintillators for search and investigation of extremely rare events in particle physics and astrophysics [PDF]
Journal of Physical Studies, 2005 The inorganic scintillator is an important element of a new type of cryogenic phonon scintillation detectors (CPSD) developed for single particle detection. These detectors exhibiting superior energy resolution and ability to identify the type of interaction event are considered as a next generation instrumentation in the search for extremely rare ...
V.B. Mikhailik +2 more
openalex +3 more sources
Interpretable Joint Event-Particle Reconstruction for Neutrino Physics at NOvA with Sparse CNNs and Transformers [PDF]
, 2023 The complex events observed at the NOvA long-baseline neutrino oscillation experiment contain vital information for understanding the most elusive particles in the standard model. The NOvA detectors observe interactions of neutrinos from the NuMI beam at Fermilab. Associating the particles produced in these interaction events to their source particles,
А. Н. Шмаков +3 more
openalex +3 more sources
Machine learning and LHC event generation [PDF]
SciPost Physics, 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.
Anja Butter, Tilman Plehn, Steffen Schumann, Simon Badger, Sascha Caron, Kyle Cranmer, Francesco Armando Di Bello, Etienne Dreyer, Stefano Forte, Sanmay Ganguly, Dorival Gonçalves, Eilam Gross, Theo Heimel, Gudrun Heinrich, Lukas Heinrich, Alexander Held, Stefan Höche, Jessica N. Howard, Philip Ilten, Joshua Isaacson, Timo Janßen, Stephen Jones, Marumi Kado, Michael Kagan, Gregor Kasieczka, Felix Kling, Sabine Kraml, Claudius Krause, Frank Krauss, Kevin Kröninger, Rahool Kumar Barman, Michel Luchmann, Vitaly Magerya, Daniel Maitre, Bogdan Malaescu, Fabio Maltoni, Till Martini, Olivier Mattelaer, Benjamin Nachman, Sebastian Pitz, Juan Rojo, Matthew Schwartz, David Shih, Frank Siegert, Roy Stegeman, Bob Stienen, Jesse Thaler, Rob Verheyen, Daniel Whiteson, Ramon Winterhalder, Jure Zupan
doaj +2 more sources
End-to-end simulation of particle physics events with flow matching and generator oversampling [PDF]
Machine Learning: Science and TechnologyAbstract The simulation of high-energy physics collision events is a key element for data analysis at present and future particle accelerators. The comparison of simulation predictions to data allows looking for rare deviations that can be due to new phenomena not previously observed.
Francesco Vaselli +3 more
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Deep Learning Approaches for BSM Physics: Evaluating DNN and GNN Performance in Particle Collision Event Classification [PDF]
Acta Physica Polonica BDetecting Beyond Standard Model (BSM) signals in high-energy particle collisions presents significant challenges due to complex data and the need to differentiate rare signal events from Standard Model (SM) backgrounds. This study investigates the efficacy of deep learning models, specifically Deep Neural Networks (DNNs) and Graph Neural Networks (GNNs)
A. Çelik
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