Results 11 to 20 of about 41,184 (137)

Potential of the Julia Programming Language for High Energy Physics Computing [PDF]

Computing and Software for Big Science, 2023
Research in high energy physics (HEP) requires huge amounts of computing and storage, putting strong constraints on the code speed and resource usage.
J. Eschle, Tamás Gál, Mosé Giordano, Philippe Gras, B. Hegner, L. Heinrich, U. Hernandez Acosta, S. Kluth, Jerry Ling, Pere Mato, M. Mikhasenko, Alexander Moreno Briceño, J. Pivarski, Konstantinos Samaras-Tsakiris, O. Schulz, G. Stewart, J. Strube, Vassil Vassilev   +17 more
semanticscholar   +1 more source

Training and onboarding initiatives in high energy physics experiments [PDF]

Frontiers Big Data, 2023
In this article we document the current analysis software training and onboarding activities in several High Energy Physics (HEP) experiments: ATLAS, CMS, LHCb, Belle II and DUNE. Fast and efficient onboarding of new collaboration members is increasingly
Allison Reinsvold Hall, N. Skidmore, G. Benelli, Ben Carlson, C. David, Jonathan Davies, Wouter Deconinck, David DeMuth, Peter Elmer, Rocky Bala Garg, S. Hageböck, K. Lieret, V. Lukashenko, Sudhir Malik, A. Morris, H. Schellman, G. A. Stewart, J. Veatch, Michel Hernández Villanueva   +18 more
semanticscholar   +1 more source

Quantum Simulation for High-Energy Physics [PDF]

PRX Quantum, 2022
It is for the first time that Quantum Simulation for High Energy Physics (HEP) is studied in the U.S. decadal particle-physics community planning, and in fact until recently, this was not considered a mainstream topic in the community.
Christian W. Bauer. Zohreh Davoudi, A. Balantekin, Tanmoy Bhattacharya, M. Carena, W. A. Jong, P. Draper, A. El-Khadra, N. Gemelke, M. Hanada, D. Kharzeev, Henry Lamm, Yingying Li, Junyu Liu, M. Lukin, Y. Meurice, C. Monroe, B. Nachman, G. Pagano, J. Preskill, E. Rinaldi, A. Roggero, D. Santiago, M. Savage, I. Siddiqi, G. Siopsis, D. Zanten, N. Wiebe, Y. Yamauchi, Kubra Yeter-Aydeniz, S. Zorzetti   +29 more
semanticscholar   +1 more source

Constraints on Future Analysis Metadata Systems in High Energy Physics [PDF]

Computing and Software for Big Science, 2022
In high energy physics (HEP), analysis metadata comes in many forms—from theoretical cross-sections, to calibration corrections, to details about file processing.
T. J. Khoo, A. Hall, N. Skidmore, S. Alderweireldt, J. Anders, C. Burr, W. Buttinger, P. David, L. Gouskos, L. Gray, S. Hageböck, A. Krasznahorkay, P. Laycock, A. Lister, Z. Marshall, A. Meyer, T. Novak, S. Rappoccio, Martin Ritter, E. Rodrigues, J. Rumsevicius, L. Sexton-Kennedy, N. Smith, G. Stewart, S. Wertz   +24 more
semanticscholar   +1 more source

Evaluating Portable Parallelization Strategies for Heterogeneous Architectures in High Energy Physics [PDF]

arXiv.org, 2023
High-energy physics (HEP) experiments have developed millions of lines of code over decades that are optimized to run on traditional x86 CPU systems. However, we are seeing a rapidly increasing fraction of floating point computing power in leadership ...
M. Atif, Meghna Battacharya, P. Calafiura, T. Childers, M. Dewing, Zhihua Dong, O. Gutsche, S. Habib, K. Knoepfel, M. Kortelainen, K. Kwok, Charles Leggett, Meifeng Lin, V. Pascuzzi, A. Strelchenko, V. Tsulaia, B. Viren, Tianle Wang, B. Yeo, Haiwang Yu   +19 more
semanticscholar   +1 more source

Dynamic, Tunable, and Conformal Wearable Compression Using Active Textiles

Advanced Materials Technologies, Volume 7, Issue 12, December 2022., 2022
Dynamic, low‐profile, and fully textile‐based medical compression garments are developed to demonstrate deployable actuation using thermally responsive and highly hysteretic NiTi materials that maintain a high force state upon cooling to match the skin surface temperature.
Rachael Granberry, Megan Clarke, Robert Pettys‐Baker, Heidi Woelfle, Crystal Compton, Amy Ross, Kirstyn Johnson, Santo Padula II, Surbhi Shah, Julianna Abel, Brad Holschuh   +10 more
wiley   +1 more source

The Future of High Energy Physics Software and Computing [PDF]

, 2022
Software and Computing (S&C) are essential to all High Energy Physics (HEP) experiments and many theoretical studies. The size and complexity of S&C are now commensurate with that of experimental instruments, playing a critical role in experimental ...
V. Elvira, S. Gottlieb, O. Gutsche, B. Nachman, S. Bailey, W. Bhimji, P. Boyle, G. Cerati, K. Cranmer, G. Davies, R. Gardner, K. Heitmann, M. Hildreth, Will Hopkins, T. Humble, M. Savage, P. Shanahan, K. Terao, D. Whiteson, F. Wuerthwein   +19 more
semanticscholar   +1 more source

Prediction of New Media Information Dissemination Speed and Scale Effect Based on Large‐Scale Graph Neural Network

Scientific Programming, Volume 2022, Issue 1, 2022., 2022
In recent years, because of the popularity of the internet and mobile devices, the dissemination of new media in social networks has attracted extensive attention from scholars and the industry. Scale prediction or propagation speed prediction is to use the initial data to predict the propagation scale of the network.
Chen Qiumeng, Shen Yu, Lianhui Li
wiley   +1 more source

On the Impact of the LHC Run 2 Data on General Composite Higgs Scenarios

Advances in High Energy Physics, Volume 2022, Issue 1, 2022., 2022
We study the impact of Run 2 LHC data on general composite Higgs scenarios, where nonlinear effects, mixing with additional scalars, and new fermionic degrees of freedom could simultaneously contribute to the modification of Higgs properties. We obtain new experimental limits on the scale of compositeness, the mixing with singlets and doublets with the
Charanjit K. Khosa, Veronica Sanz, Grégory Moreau   +2 more
wiley   +1 more source

Uncertainty-aware machine learning for high energy physics [PDF]

Physical Review D, 2021
Machine learning techniques are becoming an integral component of data analysis in High Energy Physics (HEP). These tools provide a significant improvement in sensitivity over traditional analyses by exploiting subtle patterns in high-dimensional feature
A. Ghosh, B. Nachman, D. Whiteson
semanticscholar   +1 more source