Open Access
| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01267 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701267 | |
| Published online | 07 October 2025 | |
- LHCb collaboration, A. A. Alves Jr. et al., The LHCb detector at the LHC, JINST 3, S08005 (2008). https://doi.org/10.1088/1748-0221/3/08/S08005 [Google Scholar]
- C. Bozzi, LHCb Computing Resource usage in 2018, LHCb-PUB-2019-004. https://cds. cern.ch/record/2657833 [Google Scholar]
- LHCb collaboration, R. Aaij et al., The LHCb Upgrade I, JINST 19, P05065 (2024). https://doi.org/10.1088/1748-0221/19/05/P05065 [Google Scholar]
- LHCb collaboration, Computing Model of the Upgrade LHCb experiment, CERN-LHCC-2018-014, LHCB-TDR-018. https://doi.org/10.17181/CERN.Q0P4.57ON [Google Scholar]
- M. Clemencic et al., The LHCb simulation application, Gauss: Design, evolution and experience, J. Phys. Conf. Ser. 331, 032023 (2011). https://doi.org/10.1088/1742-6596/331/3/032023 [Google Scholar]
- T. Sjostrand, S. Mrenna, and P. Skands, A brief introduction to PYTHIA 8.1, Comput. Phys. Commun. 178, 852 (2008). https://doi.org/10.48550/arXiv.0710.3820 [CrossRef] [Google Scholar]
- Geant4 collaboration, S. Agostinelli et al., Geant4: A simulation toolkit, Nucl. Instrum. Meth. A506, 250 (2003). https://doi.org/10.1016/S0168-9002(03)01368-8 [Google Scholar]
- Geant4 collaboration, J. Allison et al., Geant4 developments and applications, IEEE Trans. Nucl. Sci. 53, 270 (2006). https://doi.org/10.1109/TNS.2006.869826 [CrossRef] [Google Scholar]
- G. Barrand et al., GAUDI — A software architecture and framework for building HEP data processing applications, Comput. Phys. Commun. 140, 45 (2001). https://doi.org/10. 1016/S0010-4655(01)00254-5 [CrossRef] [Google Scholar]
- L. Anderlini et al., The LHCb ultra-fast simulation option, Lamarr design and validation, EPJ Web Conf. 295, 03040 (2024). https://doi.org/10.1051/epjconf/202429503040 [Google Scholar]
- M. Mazurek, Generative AI for fast simulations in LHCb, CHEP 2024 conference. https://indico.cern.ch/event/1338689/contributions/6015805/ [Google Scholar]
- G. Corti et al., New software technologies in the LHCb Simulation, J. Phys.: Conf. Ser. 2438, 012108 (2023). https://doi.org/10.1088/1742-6596/2438/1/012108 [Google Scholar]
- S. Amato et al., LHCb calorimeters: Technical design report, CERN-LHCC-2000-036. https://cds.cern.ch/record/494264 [Google Scholar]
- R. Aaij et al., The LHCb Upgrade I, JINST 19, P05065 (2024). https://doi.org/10.1088/1748-0221/19/05/P05065 [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.