Results 21 to 30 of about 17,184 (253)
Event-by-Event Investigation of the Two-Particle Source Function in Heavy-Ion Collisions with EPOS
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
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CoRR, 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,
Alexander Shmakov +3 more
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Energy flow networks: deep sets for particle jets
Journal of High Energy Physics, 2019 A key question for machine learning approaches in particle physics is how to best represent and learn from collider events. As an event is intrinsically a variable-length unordered set of particles, we build upon recent machine learning efforts to learn ...
Patrick T. Komiske +2 more
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Persistent homology of collider observations: When (w)hole matters
Physics Letters B, 2023 Topological invariants have played a fundamental role in the advancement of theoretical high energy physics. Physicists have used several kinematic techniques to distinguish new physics predictions from the Standard Model (SM) of particle physics at ...
Jyotiranjan Beuria
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Using neural networks as an event trigger in elementary particle physics experiments [PDF]
Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), 2002 Elementary particle physics experiments often have to deal with high data rates. In order to avoid having to write out all data that is occurring online processors, triggers are used to cull out the uninteresting data. These triggers are based on some particular aspect of the physics being examined. At times these aspects are often equivalent to simple
Neis, E. +5 more
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SciPost Physics, 2021 A critical question concerning generative networks applied to event generation in particle physics is if the generated events add statistical precision beyond the training sample.
Anja Butter, Sascha Diefenbacher, Gregor Kasieczka, Benjamin Nachman, Tilman Plehn
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Particle physics explanations for ultra-high energy cosmic ray events [PDF]
Pramana, 2004 Invited plenary talk at PASCOS03, Mumbai, India, January 2003; 13 pages, 1 ...
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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 ...
Mikhailik, V, Kraus, H, Mykhaylyk, MS
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Configurable calorimeter simulation for AI applications
Machine Learning: Science and Technology, 2023 A configurable calorimeter simulation for AI (CoCoA) applications is presented, based on the Geant4 toolkit and interfaced with the Pythia event generator.
Anton Charkin-Gorbulin +11 more
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Dark matter inverse problem: Extracting particle physics from scattering events
Physical Review D, 2012 32 pages, 14 figures; references updated; revised to match journal ...
McDermott, Samuel D. +2 more
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