Results 31 to 40 of about 350,654 (301)

Machine learning and LHC event generation

SciPost Physics, 2023
First-principle simulations are at the heart of the high-energy physics research program. They link the vast data output of multi-purpose detectors with fundamental theory predictions and interpretation.
Anja Butter, Tilman Plehn, Steffen Schumann, Simon Badger, Sascha Caron, Kyle Cranmer, Francesco Armando Di Bello, Etienne Dreyer, Stefano Forte, Sanmay Ganguly, Dorival Gonçalves, Eilam Gross, Theo Heimel, Gudrun Heinrich, Lukas Heinrich, Alexander Held, Stefan Höche, Jessica N. Howard, Philip Ilten, Joshua Isaacson, Timo Janßen, Stephen Jones, Marumi Kado, Michael Kagan, Gregor Kasieczka, Felix Kling, Sabine Kraml, Claudius Krause, Frank Krauss, Kevin Kröninger, Rahool Kumar Barman, Michel Luchmann, Vitaly Magerya, Daniel Maitre, Bogdan Malaescu, Fabio Maltoni, Till Martini, Olivier Mattelaer, Benjamin Nachman, Sebastian Pitz, Juan Rojo, Matthew Schwartz, David Shih, Frank Siegert, Roy Stegeman, Bob Stienen, Jesse Thaler, Rob Verheyen, Daniel Whiteson, Ramon Winterhalder, Jure Zupan
doaj   +1 more source

Physical characterization of aerosol particles during nucleation events [PDF]

Tellus B: Chemical and Physical Meteorology, 2001
Particle concentrations and size distributions have been measured from different heights inside and above a boreal forest during three BIOFOR campaigns (14 April–22 May 1998, 27 July–21 August 1998 and 20 March–24 April 1999) in Hyytiälä, Finland. Typically, the shape of the background distribution inside the forest exhibited 2 dominant modes: a fine ...
PASI AALTO, KAARLE HÄMERI, EDO BECKER, RODNEY WEBER, JAAN SALM, JYRKI M. MÄKELÄ, CLAUDIA HOELL, COLIN D. O'DOWD, HANS KARLSSON, HANS‐CHRISTEN HANSSON, MINNA VÄKEVÄ, ISMO K. KOPONEN, GINTAUTAS BUZORIUS, MARKKU KULMALA   +13 more
openaire   +2 more sources

MLPF: efficient machine-learned particle-flow reconstruction using graph neural networks

European Physical Journal C: Particles and Fields, 2021
In general-purpose particle detectors, the particle-flow algorithm may be used to reconstruct a comprehensive particle-level view of the event by combining information from the calorimeters and the trackers, significantly improving the detector ...
Joosep Pata, Javier Duarte, Jean-Roch Vlimant, Maurizio Pierini, Maria Spiropulu   +4 more
doaj   +1 more source

Missing information search with deep learning for mass estimation

Physical Review Research, 2023
We introduce DeeLeMa, a deep learning-based network for the analysis of energy and momentum in high-energy particle collisions. This novel approach is specifically designed to address the challenge of analyzing collision events with multiple invisible ...
Kayoung Ban, Dong Woo Kang, Tae-Geun Kim, Seong Chan Park, Yeji Park   +4 more
doaj   +1 more source

New developments for ALICE MasterClasses and the new Particle Therapy MasterClass [PDF]

EPJ Web of Conferences, 2020
International MasterClasses (IMC), an outreach activity of the International Particle Physics Outreach Group (IPPOG), has been bringing cuttingedge particle physics research to schoolchildren for over 15 years now. All four LHC experiments participate in
Graczykowski Łukasz, Nowakowski Piotr, Foka Panagiota   +2 more
doaj   +1 more source

Detection of zero anisotropy at 5.2 AU during the November 1998 solar particle event: Ulysses Anisotropy Telescopes observations [PDF]

Annales Geophysicae, 2000
For the first time during the mission, the Anisotropy Telescopes instrument on board the Ulysses spacecraft measured constant zero anisotropy of protons in the 1.3-2.2 MeV energy range, for a period lasting more than three days.
S. Dalla, S. Dalla, S. Dalla, A. Balogh, A. Balogh, A. Balogh   +5 more
doaj   +1 more source

Investigating the origin of strangeness enhancement in small systems through multi-differential analyses [PDF]

EPJ Web of Conferences, 2022
The main goal of the ALICE experiment is to study the physics of strongly interacting matter, including the properties of the quark-gluon plasma (QGP). The relative production of strange hadrons with respect to non-strange hadrons in heavy-ion collisions
Ercolessi Francesca
doaj   +1 more source

Event Generator for Particle Production in High-Energy Collisions [PDF]

, 2003
Event generators are an indispensable tool for the preparation and analysis of particle-physics experiments. In this contribution, physics principles underlying the construction of such computer programs are discussed.
Gleisberg, T., Hoeche, S., Krauss, F., Schaelicke, A., Schumann, S., Soff, G., Winter, J.   +6 more
core   +2 more sources

Generalised Known Kinematics (GKK): an approach for kinematic observables in pair production events with decays involving invisible particles

Journal of High Energy Physics, 2023
Missing kinematic information of known invisible particles, such as neutrinos, limit several high-energy physics analysis. The undetected particle carries away momentum and energy information, preventing the total reconstruction of such an event.
Thomas M. G. Kraetzschmar, Fabian M. Krinner, Marvin Pfaff, Navid K. Rad, Armine Rostomyan, Lorenz Schlechter, Frank Simon   +6 more
doaj   +1 more source

Event-by-Event Investigation of the Two-Particle Source Function in Heavy-Ion Collisions with EPOS

Entropy, 2022
Exploring the shape of the pair-source function for particles such as pions or kaons has been an important goal of heavy-ion physics, and substantial effort has been made in order to understand the underlying physics behind the experimental observations ...
Dániel Kincses, Maria Stefaniak, Máté Csanád   +2 more
doaj   +1 more source