Open Access
| Issue |
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 | |
| DOI | https://doi.org/10.1051/epjconf/202024502004 | |
| Published online | 16 November 2020 | |
- 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]
- R. Brun and F. Rademakers, “ROOT: An object oriented data analysis framework,” Nucl. Instrum. Meth. A 389 (1997) 81. [NASA ADS] [CrossRef] [Google Scholar]
- S. Agostinelli et al. [GEANT4 Collaboration], “GEANT4: A Simulation toolkit,” Nucl. Instrum. Meth. A 506 (2003) 250. [Google Scholar]
- R. Brun, A. Gheata and M. Gheata, “The ROOT geometry package,” Nucl. Instrum. Meth. A 502 (2003) 676. [CrossRef] [Google Scholar]
- 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]
- A. Sailer et al. [CLICdp and ILD Collaborations], “DD4Hep based event reconstruction,” J. Phys. Conf. Ser. 898 (2017) no.4, 042017. [Google Scholar]
- 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]
- C. Vuosalo, I. Osborne, “CMS Experience with Adoption of the Community-supported DD4hep Toolkit,” These proceedings. [Google Scholar]
- D. Muller, “Gaussino a Gaudi-based core simulation framework,” These proceedings. [Google Scholar]
- W. Lavrijsen, “Python in the Cling World,” J. Phys. Conf. Ser. 664 (2015) no.6, 062029. [Google Scholar]
- https://pypi.org/project/six [Google Scholar]
- https://github.com/python-modernize/python-modernize [Google Scholar]
- G. Ganis, A. Sailer, S.A. Graeme, P. Mato Vila, “Towards a Turnkey Software Stack for HEP Experiments,” These proceedings [Google Scholar]
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