Results 11 to 20 of about 350,654 (301)

Modern Particle Physics Event Generation with WHIZARD [PDF]

open access: diamondJournal of Physics: Conference Series, 2015
We describe the multi-purpose Monte-Carlo event generator WHIZARD for the simulation of high-energy particle physics experiments. Besides the presentation of the general features of the program like SM physics, BSM physics, and QCD effects, special emphasis will be given to the support of the most accurate simulation of the collider environments at ...
Jürgen Reuter   +6 more
core   +7 more sources

Pre-training strategy using real particle collision data for event classification in collider physics [PDF]

open access: green, 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.
T. Kishimoto   +3 more
openalex   +3 more sources

Cryogenic scintillators for search and investigation of extremely rare events in particle physics and astrophysics [PDF]

open access: bronzeJournal of Physical Studies, 2005
The inorganic scintillator is an important element of a new type of cryogenic phonon scintillation detectors (CPSD) developed for single particle detection. These detectors exhibiting superior energy resolution and ability to identify the type of interaction event are considered as a next generation instrumentation in the search for extremely rare ...
V.B. Mikhailik   +2 more
openalex   +3 more sources

End-to-end simulation of particle physics events with flow matching and generator oversampling [PDF]

open access: goldMachine Learning: Science and Technology
Abstract The simulation of high-energy physics collision events is a key element for data analysis at present and future particle accelerators. The comparison of simulation predictions to data allows looking for rare deviations that can be due to new phenomena not previously observed.
Francesco Vaselli   +3 more
openalex   +5 more sources

Interpretable Joint Event-Particle Reconstruction for Neutrino Physics at NOvA with Sparse CNNs and Transformers [PDF]

open access: green, 2023
The complex events observed at the NOvA long-baseline neutrino oscillation experiment contain vital information for understanding the most elusive particles in the standard model. The NOvA detectors observe interactions of neutrinos from the NuMI beam at Fermilab. Associating the particles produced in these interaction events to their source particles,
А. Н. Шмаков   +3 more
openalex   +3 more sources

Minimising Event Size, Maximising Physics: Inclusive Particle Isolation for LHCb's Run 3 [PDF]

open access: green
The Run 3 of the LHC brings unprecedented luminosity and a surge in data volume to the LHCb detector, necessitating a critical reduction in the size of each reconstructed event without compromising the physics reach of the heavy-flavour programme. While signal decays typically involve just a few charged particles, a single proton-proton collision ...
Calvi, Marta   +14 more
  +6 more sources

Simulation of Solar Energetic Particle Events Originated from Coronal Mass Ejection Shocks with a Data-driven Physics-based Transport Model [PDF]

open access: goldThe Astrophysical Journal
Abstract Solar energetic particle (SEP) events are associated with coronal mass ejections (CMEs) and/or solar flares. SEPs travel through the corona and interplanetary space to reach Earth, posing a radiation hazard to spacecraft and astronauts working in space and the electronics on spacecraft.
Lei Cheng   +3 more
  +6 more sources

Deep Learning Approaches for BSM Physics: Evaluating DNN and GNN Performance in Particle Collision Event Classification [PDF]

open access: diamondActa Physica Polonica B
Detecting Beyond Standard Model (BSM) signals in high-energy particle collisions presents significant challenges due to complex data and the need to differentiate rare signal events from Standard Model (SM) backgrounds. This study investigates the efficacy of deep learning models, specifically Deep Neural Networks (DNNs) and Graph Neural Networks (GNNs)
A. Çelik
  +6 more sources

Baryon production from cluster hadronisation [PDF]

open access: yesEuropean Physical Journal C: Particles and Fields, 2018
We present an extension to the colour reconnection model in the Monte Carlo event generator Herwig to account for the production of baryons and compare it to a series of observables for soft physics.
Stefan Gieseke   +2 more
doaj   +4 more sources

Chromo: An event generator frontend for particle and astroparticle physics [PDF]

open access: goldProceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023), 2023
H.-P. Dembinski   +2 more
openalex   +2 more sources

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