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All issues Volume 245 (2020) EPJ Web Conf., 245 (2020) 06027 References
Open Access
Issue
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
Article Number 06027
Number of page(s) 8
Section 6 - Physics Analysis
DOI https://doi.org/10.1051/epjconf/202024506027
Published online 16 November 2020
  1. W. Verkerke, D. Kirkby, ArXiv Physics e-prints (2003), physics/0306116 [Google Scholar]
  2. L. Moneta, K. Cranmer, G. Schott, W. Verkerke, The RooStats project, in Proceedings of the 13th International Workshop on Advanced Computing and Analysis Techniques in Physics Research. February 22-27, 2010, Jaipur, India. (2010), p. 57, 1009.1003 [Google Scholar]
  3. ATLAS and CMS Collaborations, Phys. Rev. Lett. 114, 191803 (2015), 1503.07589 [CrossRef] [PubMed] [Google Scholar]
  4. ATLAS and CMS Collaborations, JHEP 08, 045 (2016), 1606.02266 [Google Scholar]
  5. S. Hageböck, Making RooFit Ready for Run 3, in J. Phys. Conf. Ser.: ACAT 2019 (2019) [Google Scholar]
  6. M. Hatlo, F. James, P. Mato, L. Moneta, M. Winkler, A. Zsenei, IEEE Trans. Nucl. Sci. 52, 2818 (2005) [Google Scholar]
  7. F. James, M. Roos, Computer Physics Communications 10, 343 (1975) [Google Scholar]
  8. Tech. Rep. ATLAS-CONF-2019-005, CERN, Geneva (2019), https://cds.cern.ch/record/2668375 [Google Scholar]
  9. P. Hintjens, ZeroMQ: Messaging for Many Applications (O’Reilly Media, 2013) [Google Scholar]
  10. E.G.P. Bos, I. Pelupessy, V.A. Croft, W. Verkerke, C.D. Burgard, Automated Parallel Calculation of Collaborative Statistical Models in RooFit, in 2018 IEEE 14th International Conference on e-Science (e-Science) (2018), pp. 345–346 [CrossRef] [Google Scholar]
  11. M. Aaboud et al., Physics Letters B 789, 508 (2019) [CrossRef] [Google Scholar]
  12. ATLAS Collaboration, Tech. Rep. ATLAS-CONF-2019-005, CERN, Geneva (2019), https://cds.cern.ch/record/2668375 [Google Scholar]
  13. S. van der Walt, S.C. Colbert, G. Varoquaux, Computing in Science Engineering 13, 22 (2011) [Google Scholar]
  14. J.D. Hunter, Computing in Science Engineering 9, 90 (2007) [Google Scholar]
  15. M. Waskom, O. Botvinnik, D. O’Kane, P. Hobson, J. Ostblom, S. Lukauskas, D.C. Gemperline, T. Augspurger, Y. Halchenko, J.B. Cole et al., mwaskom/seaborn: v0.9.0 (july 2018) (2018), https://doi.org/10.5281/zenodo.1313201 [Google Scholar]
  16. W. McKinney, Data Structures for Statistical Computing in Python, in Proceedings of the 9th Python in Science Conference (2010), pp. 51–56 [Google Scholar]
  17. T. Kluyver, B. Ragan-Kelley, F. Pérez, B. Granger, M. Bussonnier, J. Frederic, K. Kelley, J. Hamrick, J. Grout, S. Corlay et al., Jupyter Notebooks – a publishing format for reproducible computational workflows, in Positioning and Power in Academic Publishing: Players, Agents and Agendas, edited by F. Loizides, B. Schmidt (IOS Press, 2016), pp. 87–90 [Google Scholar]

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