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 04019
Number of page(s) 7
Section Distributed Computing
DOI https://doi.org/10.1051/epjconf/202429504019
Published online 06 May 2024
  1. ATLAS Collaboration, The ATLAS Experiment at the CERN Large Hadron Collider, J. Inst. 3, S08003 (2008) [Google Scholar]
  2. L. Evans and P. Bryant (editors), LHC Machine, J. Inst. 3, S08001 (2008) [Google Scholar]
  3. W. Eric et al., Hyperparameter optimization of data-driven AI models on HPC systems, J.Phys.: Conf. Ser. 2438, 012092 (2023) [CrossRef] [Google Scholar]
  4. D. Golubovic, R. Rocha, Training and Serving ML workloads with Kubeflow at CERN, EPJ Web Conf. 251, 02067 (2021) [Google Scholar]
  5. T. Maeno et al., PanDA: Production and Distributed Analysis System, Computing and Software for Big Science (to be submitted) [Google Scholar]
  6. T. Maeno et al., Overview of ATLAS PanDA Workload Management, J.Phys.: Conf. Ser. 331, 072024 (2011) [CrossRef] [Google Scholar]
  7. W. Guan et al., An intelligent Data Delivery Service for and beyond the ATLAS experiment, EPJ Web Conf. 251, 02007 (2021) [Google Scholar]
  8. W. Guan et al., Towards an Intelligent Data Delivery Service, EPJ Web Conf. 245, 04015 (2020) [Google Scholar]
  9. Z. Ivezic et al., LSST: From Science Drivers To Reference Design And Anticipated Data Products, Astrophys. J., 873, 111 (2019) [CrossRef] [Google Scholar]
  10. LSST Science Collaboration, Lsst science book, version 2.0 (2009), arXiv:0912.0201 [Google Scholar]
  11. A. Adare et al., An upgrade proposal from the PHENIX Collaboration (2015), arXiv:1501.06197 [Google Scholar]
  12. J. Snoek, Practical bayesian optimization of machine learning algorithms (2012), arXiv:1206.2944 [Google Scholar]
  13. J. M., The Fast Simulation Chain in the ATLAS experiment, EPJ Web Conf. 251, 03012 (2021) [Google Scholar]
  14. K. Cranmer, Active learning for excursion set estimation (2019), ACAT 2019, https://indico.cern.ch/event/708041/contributions/3269754/ [Google Scholar]
  15. ATLAS Collaboration, Demonstrating an active learning driven pipeline for optimised analysis reinterpretation: an extended search for Higgs bosons decaying into four-lepton final states via an intermediate dark Z boson (2023), https://atlas.web. cern.ch/Atlas/GROUPS/PHYSICS/PUBNOTES/ATL-PHYS-PUB-2023-010/ [Google Scholar]
  16. A. Buckley et al., Implementation of the ATLAS Run 2 event data model, J. Phys.: Conf. Ser. 664, 072045 (2015) [CrossRef] [Google Scholar]
  17. REANA, https://reanahub.io/ [Google Scholar]

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