Open Access
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
Article Number 02004
Number of page(s) 6
Section 2 - Offline Computing
Published online 16 November 2020
  1. M. Frank, F. Gaede, C. Grefe and P. Mato, “DD4hep: A Detector Description Toolkit for High Energy Physics Experiments,” J. Phys. Conf. Ser. 513 (2014) 022010. [Google Scholar]
  2. R. Brun and F. Rademakers, “ROOT: An object oriented data analysis framework,” Nucl. Instrum. Meth. A 389 (1997) 81. [NASA ADS] [CrossRef] [Google Scholar]
  3. S. Agostinelli et al. [GEANT4 Collaboration], “GEANT4: A Simulation toolkit,” Nucl. Instrum. Meth. A 506 (2003) 250. [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. R. Brun, A. Gheata and M. Gheata, “The ROOT geometry package,” Nucl. Instrum. Meth. A 502 (2003) 676. [CrossRef] [Google Scholar]
  5. M. Frank, F. Gaede, N. Nikiforou, M. Petric and A. Sailer, “DDG4 A Simulation Framework based on the DD4hep Detector Description Toolkit,” J. Phys. Conf. Ser. 664 (2015) no.7, 072017. [Google Scholar]
  6. A. Sailer et al. [CLICdp and ILD Collaborations], “DD4Hep based event reconstruction,” J. Phys. Conf. Ser. 898 (2017) no.4, 042017. [Google Scholar]
  7. M. Frank, F. Gaede, M. Petric and A. Sailer, “Conditions and alignment extensions of the DD4hep detector description toolkit,” EPJ Web Conf. 214 (2019) 02042. [Google Scholar]
  8. C. Vuosalo, I. Osborne, “CMS Experience with Adoption of the Community-supported DD4hep Toolkit,” These proceedings. [Google Scholar]
  9. D. Muller, “Gaussino a Gaudi-based core simulation framework,” These proceedings. [Google Scholar]
  10. W. Lavrijsen, “Python in the Cling World,” J. Phys. Conf. Ser. 664 (2015) no.6, 062029. [Google Scholar]
  11. [Google Scholar]
  12. [Google Scholar]
  13. G. Ganis, A. Sailer, S.A. Graeme, P. Mato Vila, “Towards a Turnkey Software Stack for HEP Experiments,” These proceedings [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.