Results 31 to 40 of about 1,416,187 (309)
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
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
doaj +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
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
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
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
doaj +1 more source
PandAna: A Python Analysis Framework for Scalable High Performance Computing in High Energy Physics [PDF]
EPJ Web of Conferences, 2021 Modern experiments in high energy physics analyze millions of events recorded in particle detectors to select the events of interest and make measurements of physics parameters.
Groh Micah +5 more
doaj +1 more source
Extremal Kerr white holes as a source of ultra high energy particles [PDF]
Phys. Rev. D 102, 024002 (2020), 2020 We consider a process where two identical massive particles fall inwards, starting from rest at infinity towards the extremal Kerr black hole, collide outside the event horizon in its vicinity and produce two massless particles. The center of mass energy of collision between the two particles diverges if one of the particle admits a specific critical ...
arxiv +1 more source
The Top-Quark Mass: Challenges in Definition and Determination
Frontiers in Physics, 2019 The top-quark mass is a parameter of paramount importance in particle physics, playing a crucial role in the electroweak precision tests and in the stability of the Standard Model vacuum.
Gennaro Corcella
doaj +1 more source