Results 61 to 70 of about 552,537 (332)
International Particle Physics Masterclasses with LHC data
EPJ Web of Conferences, 2014 The International Particle Physics Masterclasses is an educational activity developed by the International Particle Physics Outreach Group with the aim to bring the excitement of cutting-edge particle-physics research into the classroom.
Foka Panagiota
doaj +1 more source
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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QCD and Monte Carlo event generators [PDF]
, 2006 Shower Monte Carlo event generators have played an important role in particle physics. Modern experiments would hardly be possible without them. In this talk I discuss how QCD physics is incorporated into the mathematical structure of these programs and ...
Nagy, Zoltan, Soper, Davison E.
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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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Event generation and statistical sampling for physics with deep generative models and a density information buffer [PDF]
Nature Communications, 2019 Simulating nature and in particular processes in particle physics require expensive computations and sometimes would take much longer than scientists can afford.
S. Otten +8 more
semanticscholar +1 more source
Event-by-event fluctuations and the QGP [PDF]
, 2001 We discuss the physics underlying event-by-event fluctuations in relativistic heavy ion collisions. We will emphasize how the fluctuations of particle ratios can be utilized to explore the properties of the matter created in these collisions.
Bleicher, M., Jeon, S., Koch, V.
core +5 more sources
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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Exploring End-to-end Deep Learning Applications for Event Classification at CMS [PDF]
EPJ Web of Conferences, 2019 An essential part of new physics searches at the Large Hadron Collider (LHC) at CERN involves event classification, or distinguishing potential signal events from those coming from background processes. Current machine learning techniques accomplish this
Andrews Michael +3 more
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Trans-Planckian physics and signature change events in Bose gas hydrodynamics [PDF]
, 2007 We present an example of emergent spacetime as the hydrodynamic limit of a more fundamental microscopic theory. The low-energy, long-wavelength limit in our model is dominated by collective variables that generate an effective Lorentzian metric.
A. D. Sakharov +13 more
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Event generation with Sherpa 2.2 [PDF]
SciPost Physics, 2019 Sherpa is a general-purpose Monte Carlo event generator for the simulation of particle collisions in high-energy collider experiments. We summarise essential features and improvements of the Sherpa 2.2 release series, which is heavily used for event ...
E. Bothmann +11 more
semanticscholar +1 more source