Results 21 to 30 of about 16,614 (261)
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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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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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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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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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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How-to: write a parton-level Monte Carlo particle physics event generator [PDF]
The European Physical Journal Plus, 2020 This article provides an introduction to the principles of particle physics event generators that are based on the Monte Carlo method. Following some preliminaries, instructions on how to build a basic parton-level Monte Carlo event generator for the hard interaction are given through exercises.
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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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Monte Carlo event generators for high energy particle physics event simulation
, 2019 Monte Carlo Community input to European Strategy ...
Buckley, Andy +42 more
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, 2023 This study aims to improve the performance of event classification in collider physics by introducing a pre-training strategy. Event classification is a typical problem in collider physics, where the goal is to distinguish the signal events of interest from background events as much as possible to search for new phenomena in nature.
Kishimoto, Tomoe +3 more
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