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Review of Particle Physics: Particle data group
, 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
, 2018 Over the past few decades, the worldwide neutrino scientific community has demonstrated a tremendous amount of interest in the use of Liquid Argon Time Projection Chambers (LAr-TPCs) as detectors for rare events (phenomena e.g. neutrinos or WIMPs interaction).
A. Bubak
openalex +4 more sources
Extreme fluxes in solar energetic particle events: Methodological and physical limitations
Radiation Measurements, 2014 AbstractIn this study, all available data on the largest solar proton events (SPEs), or extreme solar energetic particle (SEP) events, for the period from 1561 up to now are analyzed. Under consideration are the observational, methodological and physical problems of energy-spectrum presentation for SEP fluxes (fluences) near the Earth's orbit.
Leonty I. Miroshnichenko +2 more
openaire +2 more sources
About Waves, Particles, Events, Computer Simulation, and Ethics in Quantum Physics
, 2017 Anne Dippel, Martin Warnke
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Soft Photoproduction Physics [PDF]
, 1995 Several topics of interest in soft photoproduction physics are discussed. These include jet universality issues (particle flavour composition), the subdivision into event classes, the buildup of the total photoproduction cross section and the effects of ...
AFS Collaboration (Åkesson T ) +21 more
core +4 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
doaj +1 more source
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.
core +2 more sources
The use of minimal spanning trees in particle physics [PDF]
, 2016 Minimal spanning trees (MSTs) have been used in cosmology and astronomy to distinguish distributions of points in a multi-dimensional space. They are essentially unknown in particle physics, however. We briefly define MSTs and illustrate their properties
J. Rainbolt, M. Schmitt
semanticscholar +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
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