Open Access
Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
---|---|---|
Article Number | 03022 | |
Number of page(s) | 8 | |
Section | Offline Computing | |
DOI | https://doi.org/10.1051/epjconf/202429503022 | |
Published online | 06 May 2024 |
- G. Apollinari, I. Béjar Alonso, O. Brüning, P. Fessia, M. Lamont, L. Rossi, and L. Tavian, High-Luminosity Large Hadron Collider (HL-LHC): Technical Design Report V. 0.1. CERN Yellow Reports: Monographs. CERN, Geneva, 2017. https://cds.cern.ch/record/2284929. [Google Scholar]
- X. Ai et al., A common tracking software project, Computing and Software for Big Science 6 (04, 2022) . https://doi.org/10.1007/s41781-021-00078-8. [Google Scholar]
- C. Allaire, P. Gessinger, J. Hdrinka, M. Kiehn, F. Kimpel, J. Niermann, A. Salzburger, and S. Sevova, “Open data detector.” https://doi.org/10.5281/zenodo.6445359, Apr., 2022. [Google Scholar]
- M. Frank, F. Gaede, C. Grefe, and P. Mato, Dd4hep: A detector description toolkit for high energy physics experiments, Journal of Physics: Conference Series 513 (jun, 2014) 022010. https://dx.doi.org/10.1088/1742-6596/513/2/022010. [CrossRef] [Google Scholar]
- S. Amrouche et al., The tracking machine learning challenge: Throughput phase, Computing and Software for Big Science 7 (Feb., 2023) , arXiv:2105.01160 [cs.LG]. https://doi.org/10.1007/s41781-023-00094-w. [CrossRef] [Google Scholar]
- C. Bierlich et al., A comprehensive guide to the physics and usage of PYTHIA 8.3, SciPost Phys. Codebases (2022) 8. https://scipost.org/10.21468/SciPostPhysCodeb.8. [Google Scholar]
- ATLAS, A neural network clustering algorithm for the ATLAS silicon pixel detector. A neural network clustering algorithm for the ATLAS silicon pixel detector, JINST 9 (2014) P09009, arXiv:1406.7690. https://cds.cern.ch/record/1712337. [Google Scholar]
- ONNX Runtime developers, “Onnx runtime.” https://onnxruntime.ai/, 2021. [Google Scholar]
- ATLAS, Technical Design Report for the ATLAS Inner Tracker Pixel Detector, tech. rep., CERN, Geneva, 2017. https://cds.cern.ch/record/2285585. [Google Scholar]
- ATLAS, Technical Design Report for the ATLAS Inner Tracker Strip Detector, tech. rep., CERN, Geneva, 2017. https://cds.cern.ch/record/2257755. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.