Results 1 to 10 of about 1,243,437 (123)

Quantum Convolutional Neural Networks for High Energy Physics Data Analysis [PDF]

Physical Review Research, 2020
This work presents a quantum convolutional neural network (QCNN) for the classification of high energy physics events. The proposed model is tested using a simulated dataset from the Deep Underground Neutrino Experiment.
Samuel Yen-Chi Chen, T. Wei, Chao Zhang, Haiwang Yu, Shinjae Yoo   +4 more
semanticscholar   +1 more source

Low-energy reactor neutrino physics with the CONNIE experiment [PDF]

Journal of Physics: Conference Series, 2021
The Coherent Neutrino-Nucleus Interaction Experiment (CONNIE) uses fully depleted high-resistivity CCDs (charge coupled devices) with the aim of detecting the coherent elastic scattering of reactor antineutrinos off silicon nuclei and probing physics ...
I. Nasteva
semanticscholar   +1 more source

Quantum-inspired machine learning on high-energy physics data [PDF]

npj Quantum Information, 2020
Tensor Networks, a numerical tool originally designed for simulating quantum many-body systems, have recently been applied to solve Machine Learning problems.
Timo Felser, Marco Trenti, L. Sestini, A. Gianelle, Davide Zuliani, D. Lucchesi, S. Montangero   +6 more
semanticscholar   +1 more source

Silicon microchannel frames for high-energy physics experiments

Journal of Instrumentation, 2021
The design of detectors used for experiments in high-energy physics requires a light, stiff, and efficient cooling system with a low material budget. The use of silicon microchannel cooling plates has gained considerable interest in the last decade.
W. Poonsawat, J. Supadech, N. Klunngien, W. Jeamsaksiri, N. Ritjoho, N. Laojamnongwong, A. Mapelli, A. Francescon, D. Alvarez Feito, C. Kobdaj   +9 more
semanticscholar   +1 more source

Accurate spectra for high energy ions by advanced time-of-flight diamond-detector schemes in experiments with high energy and intensity lasers [PDF]

Scientific Reports, 2020
Time-Of-Flight (TOF) methods are very effective to detect particles accelerated in laser-plasma interactions, but they show significant limitations when used in experiments with high energy and intensity lasers, where both high-energy ions and remarkable
M. Salvadori, F. Consoli, C. Verona, M. Cipriani, M. Anania, P. Andreoli, P. Antici, F. Bisesto, G. Costa, G. Cristofari, R. Angelis, G. D. Giorgio, M. Ferrario, M. Galletti, D. Giulietti, M. Migliorati, R. Pompili, A. Z. U. O. R. Sapienza, INRS-EMT, ENEA-Department Fusion, Technologies for Nuclear Safety Department C. R. Fracati, University of RomeTor Vergata, Industrial Production Engineering Department, INFN-LNF, D. O. Physics, University of Pisa, GoLP Instituto de Plasma e Fusao Nuclear, Istituto Superior T'ecnico, Universidade de Lisboa, Infn Pisa, Infn sezione di Roma1, R. I. O. Physics, Hebrew University   +32 more
semanticscholar   +1 more source

Class imbalance techniques for high energy physics [PDF]

SciPost Physics, 2019
A common problem in a high energy physics experiment is extracting a signal from a much larger background. Posed as a classification task, there is said to be an imbalance in the number of samples belonging to the signal class versus the number of ...
C. Murphy
semanticscholar   +1 more source

Off-line computing for experimental high-energy physics [PDF]

, 1992
The needs of experimental high-energy physics for large-scale computing and data handling are explained in terms of the complexity of individual collisions and the need for high statistics to study quantum mechanical processes.
Mount, Richard P.
core   +1 more source

CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks [PDF]

arXiv.org, 2017
The precise modeling of subatomic particle interactions and propagation through matter is paramount for the advancement of nuclear and particle physics searches and precision measurements.
Michela Paganini, Luke de Oliveira, B. Nachman   +2 more
semanticscholar   +1 more source

Exploration at the high-energy frontier: ATLAS Run 2 searches investigating the exotic jungle beyond the Standard Model [PDF]

Physics reports
This report presents a comprehensive collection of searches for new physics performed by the ATLAS Collaboration during the Run 2 period of data taking at the Large Hadron Collider, from 2015 to 2018, corresponding to about 140 fb$^{-1}$ of $\sqrt{s}=13$
Atlas Collaboration
semanticscholar   +1 more source

Computing models in high energy physics

Reviews in Physics, 2019
High Energy Physics Experiments (HEP experiments in the following) have been at least in the last 3 decades at the forefront of technology, in aspects like detector design and construction, number of collaborators, and complexity of data analyses.
T. Boccali
semanticscholar   +1 more source