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All issues Volume 251 (2021) EPJ Web Conf., 251 (2021) 01008 References
Open Access
Issue
EPJ Web Conf.
Volume 251, 2021
25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
Article Number 01008
Number of page(s) 11
Section Collaboration, Education, Training and Outreach
DOI https://doi.org/10.1051/epjconf/202125101008
Published online 23 August 2021
  1. CERN, The CERN Open Data portal, https://opendata.cern.ch/, accessed: 2021-05-30 [Google Scholar]
  2. ATLAS Collaboration, The ATLAS Experiment at the CERN LHC. 2008 JINST 3 S08003. [Google Scholar]
  3. The International Particle Physics Outreach Group (IPPOG). http://ippog.org/ [Google Scholar]
  4. ICTP. The CODATA-RDA Research Data Science Applied workshops http://indico.ictp.it/event/8170/. (2017), accessed: 2021-05-30 [Google Scholar]
  5. The ATLAS Open Data project for Education, http://opendata.atlas.cern/about/ (2021), accessed: 2021-05-30 [Google Scholar]
  6. ATLAS Collaboration, Review of ATLAS Open Data 8 TeV datasets, tools and activities. ATL-OREACH-PUB-2018-001 https://cds.cern.ch/record/2624572/ [Google Scholar]
  7. ATLAS Collaboration, Proposal for an ATLAS endorsed 13 TeV data set for Outreach Purposes. ATL-OREACH-PUB-2020-001 https://cds.cern.ch/record/2707171 [Google Scholar]
  8. ATLAS Collaboration, Search for heavy particles decaying into top-quark pairs using lepton-plus jets events in proton-proton collisions at pS = 13 TeV with the ATLAS detector, Eur. Phys. J. C 78 (2018) 565, arXiv: 1804.10823 [hep-ex] [EDP Sciences] [Google Scholar]
  9. ATLAS Collaboration, Search for electroweak production of supersymmetric particles in final states with two or three leptons at ps = 13 TeV with the ATLAS detector, Eur. Phys. J. C 78 (2018) 995, arXiv: 1803.02762 [hep-ex] [EDP Sciences] [Google Scholar]
  10. ATLAS Collaboration, ATLAS Data Access Policy. ATL-CB-PUB-2015-001 https://cds.cern.ch/record/2002139/ [Google Scholar]
  11. CERN, CERN Open Data Policy for the LHC Experiments. CERN-OPEN-2020-013 https://cds.cern.ch/record/2745133/ [Google Scholar]
  12. Sânchez Pineda, Arturo. The CEVALE2VE case. ATL-OREACH-PROC-2017-001 https://cds.cern.ch/record/2241903/ [Google Scholar]
  13. Camacho Toro, Reina, Outreaching particle physics to Latin America: CE-VALE2VE and the use of ATLAS open data. ATL-OREACH-PROC-2017-003 https://cds.cern.ch/record/2286585/ [Google Scholar]
  14. Doglioni, Caterina, The ATLAS Open Data project. ATL-OREACH-PROC-2018-001 https://cds.cern.ch/record/2637284/ [Google Scholar]
  15. Domenico Franco, Maria. Reconstruction of the invariant masses of bosons of the Standard Model using public data from ATLAS Open Data. CERN-THESIS-2017-239. https://cds.cern.ch/record/2293251/ [Google Scholar]
  16. Garcia, Iskya. Perspectives and Evaluation of Dark Matter production in association with a light quark, a heavy quark (b-quark) or an electroweak boson in particle colliders at a centre-of-mass energy of 8 TeV. CERN-THESIS-2017-217. https://cds.cern.ch/record/2291838/ [Google Scholar]
  17. Evans, Meirin. Enabling Open Science with the ATLAS Open Data project at CERN. CERN-THESIS-2018-099. https://cds.cern.ch/record/2630961/ [Google Scholar]
  18. Kluyver, Thomas. et al. Jupyter Notebooks - a publishing format for reproducible computational workflows. Positioning and Power in Academic Publishing: Players, Agents and Agendas. http://ebooks.iospress.nl/publication/42900/ [Google Scholar]
  19. Brun, R. and Rademakers, F. ROOT - An Object Oriented Data Analysis Framework Nucl. Inst. & Meth. in Phys. Res. A 389 pp 81–86, 1996. [Google Scholar]
  20. ATLAS Open Data 13 TeVdocs. http://opendata.atlas.cern/release/2020/documentation/ (2020), accessed: 2021-05-30 [Google Scholar]
  21. Jupyter et al., “Binder 2.0 - Reproducible, Interactive, Sharable Environments for Science at Scale.” Proceedings of the 17th Python in Science Conference. 2018. doi://10.25080/Majora-4af1f417-011 [Google Scholar]
  22. Merkel, Dirk. et al. Docker: lightweight Linux containers for consistent development and deployment. Linux Journal. 2014. https://dl.acm.org/doi/10.5555/2600239.2600241 [Google Scholar]
  23. IEEE. Cloud Container Technologies: A State-of-the-Art Review. 2019 DOI: 10.1109/TCC.2017.2702586 [Google Scholar]
  24. Sânchez Pineda, Arturo and Mehlhase, Sascha. ATLAS Outreach: on the dissemination of High Energy Physics and Computer Sciences. ATL-OREACH-PROC-2019-006 https://cds.cern.ch/record/2699514/ [Google Scholar]
  25. CERN. The SWAN Service. https://swan.web.cern.ch/swan/, accessed: 2021-05-30 [Google Scholar]
  26. ICTP. The International Center for Theoretical Physics. http://ictp.it/ (2021), accessed: 2021-05-30 [Google Scholar]
  27. JupyterHub https://jupyterhub.readthedocs.io/ (2021), accessed: 2021-05-30 [Google Scholar]
  28. JupyterLab https://jupyterlab.readthedocs.io/ (2021), accessed: 2021-05-30 [Google Scholar]
  29. Serkin, Leonid, The release of the 13 TeV ATLAS Open Data: using open education resources effectively. ATL-OREACH-PROC-2020-002 https://cds.cern.ch/record/2710384/ [Google Scholar]
  30. Wunsch, Stefan, Using CMS Open Data for education, outreach and software development. https://cds.cern.ch/record/2753429/ [Google Scholar]
  31. Continuous Integration / Continuous Delivery https://en.wikipedia.org/wiki/CI/CD (2021), accessed: 2021-05-30 [Google Scholar]
  32. Terraform https://www.terraform.io/docs/ (2021), accessed: 2021-05-30 [Google Scholar]
  33. OpenStack https://docs.openstack.org/ (2021), accessed: 2021-05-30 [Google Scholar]

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