Results 41 to 50 of about 350,654 (301)

Persistent homology of collider observations: When (w)hole matters

open access: yesPhysics 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
doaj   +1 more source

International Particle Physics Masterclasses with LHC data

open access: yesEPJ 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

open access: yesJournal 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

Soft Photoproduction Physics [PDF]

open access: yes, 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

Event-by-event fluctuations and the QGP [PDF]

open access: yes, 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

GANplifying event samples

open access: yesSciPost 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

QCD and Monte Carlo event generators [PDF]

open access: yes, 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

Configurable calorimeter simulation for AI applications

open access: yesMachine 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]

open access: yesEPJ 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

Trans-Planckian physics and signature change events in Bose gas hydrodynamics [PDF]

open access: yes, 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
core   +2 more sources

Home - About - Disclaimer - Privacy