Open Access
| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01025 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/epjconf/202533701025 | |
| Published online | 07 October 2025 | |
- G. Apollinari, I. Béjar Alonso, O. Brüning, P. Fessia, M. Lamont, L. Rossi, 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 (2022). 10.1007/s41781-021-00078-8 [Google Scholar]
- C. Bierlich et al., A comprehensive guide to the physics and usage of PYTHIA 8.3, SciPost Phys. Codebases p. 8 (2022). 10.21468/SciPostPhysCodeb.8 [Google Scholar]
- S. Agostinelli et al., Geant4—a simulation toolkit, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 506, 250 (2003). https://doi.org/10.1016/S0168-9002(03)01368-8 [Google Scholar]
- M. Nayyeri, X. Zhou, S. Vahdati, H.S. Yazdi, J. Lehmann, Ranking-based neural network for ambiguity resolution in acts, EPJ Web of Conf. (2024). https://doi.org/10.1051/epjconf/202429503022 [Google Scholar]
- C. Allaire, P. Gessinger, J. Hdrinka, M. Kiehn, F. Kimpel, J. Niermann, A. Salzburger, S. Sevova, Open data detector, https://doi.org/10.5281/zenodo.6445359 (2022) [Google Scholar]
- M. Frank, F. Gaede, C. Grefe, P. Mato, Dd4hep: A detector description toolkit for high energy physics experiments, Journal of Physics: Conference Series 513, 022010 (2014). 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 (2023), 2105.01160. 10.1007/s41781-023-00094-w [Google Scholar]
- M. Ester, H.P. Kriegel, J. Sander, X. Xu et al., A density-based algorithm for discovering clusters in large spatial databases with noise., in kdd (1996), Vol. 96, pp. 226–231 [Google Scholar]
- ONNX Runtime developers, ONNX Runtime (2021), https://onnxruntime.ai/ [Google Scholar]
- ONNX, Open Neural Network Exchange (2017), https://github.com/onnx/onnx [Google Scholar]
- https://github.com/acts-project/acts/tree/v39.2.0/Examples/Scripts/Python/MLAmbiguityResolution [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.