Results 21 to 30 of about 210,628 (307)

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

, 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, M. Morinaga, M. Saito, J. Tanaka   +3 more
openalex   +4 more sources

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

Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023), 2023
H.-P. Dembinski, Anatoli Fedynitch, Anton Prosekin   +2 more
openalex   +2 more sources

Event generation with Sherpa 3

Journal of High Energy Physics
Sherpa is a general-purpose Monte Carlo event generator for the simulation of particle collisions in high-energy collider experiments. We summarise new developments, essential features, and ongoing improvements within the Sherpa 3 release series. Physics
Enrico Bothmann, Lois Flower, Christian Gütschow, Stefan Höche, Mareen Hoppe, Joshua Isaacson, Max Knobbe, Frank Krauss, Peter Meinzinger, Davide Napoletano, Alan Price, Daniel Reichelt, Marek Schönherr, Steffen Schumann, Frank Siegert   +14 more
doaj   +2 more sources

Particle and nuclear physics parameters—how do they affect the tracks of double beta events in a germanium detector, and their separation from gamma events

Physics Letters B, 2005
Abstract The sizes of tracks of events of neutrinoless double beta decay in a germanium detector depend on particle physics and nuclear physics parameters such as neutrino mass, right-handed current parameters, etc., and nuclear matrix elements. The knowledge of this dependence is of importance, since the key to probe the existence of 0 ν β β
H. V. Klapdor‐Kleingrothaus, I. V. Krivosheina, I. V. Titkova   +2 more
openalex   +3 more sources

Black hole evaporation beyond the Standard Model of particle physics [PDF]

Journal of High Energy Physics, 2022
The observation of an evaporating black hole would provide definitive information on the elementary particles present in nature. In particular, it could discover or exclude particles beyond those present in the standard model of particle physics.
M. Baker, A. Thamm
semanticscholar   +1 more source

Challenges for unsupervised anomaly detection in particle physics [PDF]

Journal of High Energy Physics, 2021
Anomaly detection relies on designing a score to determine whether a particular event is uncharacteristic of a given background distribution. One way to define a score is to use autoencoders, which rely on the ability to reconstruct certain types of data
Katherine Fraser, S. Homiller, Rashmish K. Mishra, B. Ostdiek, M. Schwartz   +4 more
semanticscholar   +1 more source

Simulation of solar energetic particle events with a data-driven physics-based transport model [PDF]

Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023), 2023
Ming Zhang, Lei Cheng
openalex   +2 more sources

MadFlow: automating Monte Carlo simulation on GPU for particle physics processes [PDF]

The European Physical Journal C, 2021
We present MadFlow, a first general multi-purpose framework for Monte Carlo (MC) event simulation of particle physics processes designed to take full advantage of hardware accelerators, in particular, graphics processing units (GPUs).
S. Carrazza, J. Cruz-Martinez, Marco Rossi, M. Zaro   +3 more
semanticscholar   +1 more source

Accelerating End-to-End Deep Learning for Particle Reconstruction using CMS open data [PDF]

EPJ Web of Conferences, 2021
Machine learning algorithms are gaining ground in high energy physics for applications in particle and event identification, physics analysis, detector reconstruction, simulation and trigger. Currently, most data-analysis tasks at LHC experiments benefit
Andrews Michael, Burkle Bjorn, Chaudhari Shravan, Di Croce Davide, Gleyzer Sergei, Heintz Ulrich, Narain Meenakshi, Paulini Manfred, Usai Emanuele   +8 more
doaj   +1 more source

Theoretical tools for neutrino scattering: interplay between lattice QCD, EFTs, nuclear physics, phenomenology, and neutrino event generators [PDF]

Journal of Physics G: Nuclear and Particle Physics, 2022
Maximizing the discovery potential of increasingly precise neutrino experiments will require an improved theoretical understanding of neutrino-nucleus cross sections over a wide range of energies.
L. A. Ruso, A. Ankowski, S. Bacca, A. Balantekin, J. Carlson, S. Gardiner, R. González-Jiménez, R. Gupta, T. Hobbs, M. Hoferichter, J. Isaacson, N. Jachowicz, W. Jay, T. Katori, F. Kling, A. Kronfeld, S. Li, H.-W. Lin, K. Liu, A. Lovato, K. Mahn, J. Menendez, A. Meyer, J. Morfín, S. Pastore, N. Rocco, M. Athar, T. Sato, A. Schwenk, P. Shanahan, L. Strigari, M. Wagman, X. Zhang, Y. Zhao, B. Acharya, L. Andreoli, C. Andreopoulos, J. Barrow, Tanmoy Bhattacharya, V. Brdar, C. Giusti, D. Kim, Y. Li, M. Lin, P. Machado, M. Martini, K. Niewczas, P. Pandey, A. Papadopoulou, R. Plestid, M. Roda, I. Simó, J. Simone, R. Sufian, J. Tena-Vidal, Y. Tsai, J. Udías   +56 more
semanticscholar   +1 more source