Results 41 to 50 of about 1,573,388 (253)
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
doaj +1 more source
Understanding $K/π$ ratio distribution in the mixed events [PDF]
J.Phys.G28:1-14,2002, 2001 The event mixing method is analyzed for the study of the event-by-event $K/\pi$ ratio distribution. It is shown that there exists some correlation between the kaon and pion multiplicities in the mixed events. The $K/\pi$ ratio distributions in the mixed events for different sets of real events are shown. The dependence of the distributions on the mean $
arxiv +1 more source
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
Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics [PDF]
International Conference on Quantum Computing and Engineering, 2023 The standard model (SM) of particle physics represents a theoretical paradigm for the description of the fundamental forces of nature. Despite its broad applicability, the SM does not enable the description of all physically possible events.
Elie Bermot +6 more
semanticscholar +1 more source
Phase Space Sampling and Inference from Weighted Events with Autoregressive Flows [PDF]
SciPost Phys. 10, 038 (2021), 2020 We explore the use of autoregressive flows, a type of generative model with tractable likelihood, as a means of efficient generation of physical particle collider events. The usual maximum likelihood loss function is supplemented by an event weight, allowing for inference from event samples with variable, and even negative event weights.
arxiv +1 more source
Dynamics of Charged Events [PDF]
Phys.Rev.Lett.103:091602,2009, 2009 In three spacetime dimensions the worldvolume of a magnetic source is a single point, an event. We make the event dynamical by regarding it as the imprint of a flux-carrying particle impinging from an extra dimension. This can be generalized to higher spacetime dimensions and to extended events.
arxiv +1 more source
Review of Particle Physics (RPP)
, 2012 This biennial Review summarizes much of particle physics. Using data from previous editions, plus 2658 new measurements from 644 papers, we list, evaluate, and average measured properties of gauge bosons, leptons, quarks, mesons, and baryons.
K. Hagiwara +139 more
semanticscholar +1 more source
Advanced Engineering Materials, EarlyView., 2023 A novel method for tracking structural changes in gels using widely accessible microcomputed tomography is presented and validated for various hydro‐, alco‐, and aerogels. The core idea of the method is to track positions of micrometer‐sized tracer particles entrapped in the gel and relate them to the density of the gel network.
Anja Hajnal +3 more
wiley +1 more source
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
doaj +1 more source
Event-by-Event Fluctuations of Particle Ratios in Heavy-Ion Collisions [PDF]
Indian J.Phys.86, 641-646,2012, 2006 We study event-by-event dynamical fluctuations of various particle ratios at different energies. We assume that particle production in final state is due to chemical equilibrium processes. We compare results from resonance gas model with available experimental data.
arxiv +1 more source