Open Access
| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 06028 | |
| Number of page(s) | 8 | |
| Section | T6 - Machine learning & analysis | |
| DOI | https://doi.org/10.1051/epjconf/201921406028 | |
| Published online | 17 September 2019 | |
- Sirunyan A. M.et al. (CMS Collaboration), Observation of tt¯H Production, Phys. Rev. Lett. 120, 231801 (2018) [Google Scholar]
- Aad G. et al. (ATLAS Collaboration), Observation of a new particle in the search of the Standard Model Higgs boson with the ATLAS detector at the LHC, Phys. Lett. B 716, 1 (2012) [Google Scholar]
- Chatrchyan S. et al. (CMS Collaboration), Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC, Phys. Lett B 716 30 (2012) [Google Scholar]
- CMS Collaboration, Evidence for the Higgs boson decay to a bottom quark-antiquark pair, Phys. Lett. B 780 501 (2018) [Google Scholar]
- CMS Collaboration, Observation of the Higgs boson decay to a pair of tau leptons, Phys. Lett. B 779 283 (2017) [Google Scholar]
- CMS Collaboration, An event candidate for the production of a top quark and top anti-quark pair in conjunction with a Higgs Boson in the CMS detector, https://cds.cern.ch/record/2621446 (2018) [Google Scholar]
- Abazov V.M. et al. (DØ Collaboration), A precision measurement of the mass of the top quark, Nature 429, 638–642 (2004) [CrossRef] [PubMed] [Google Scholar]
- T. Strebler, thesis Probing the Higgs coupling to the top quark at the LHC in the CMS experiment, chap. 4 & 5 (2017) [Google Scholar]
- Schouten D., DeAbreu A. and Stelzer B. Accelerated Matrix Element Method with Parallel Computing, Computer Physics Communications, Volume 192, pages 54-59 (2015) [Google Scholar]
- Hagiwara K., Kanzaki J., Li Q., Okamura N. and Stelzer T. Fast computation of Mad-Graph amplitudes on graphics processing unit (GPU), European Physical Journal 73 2608 (2013) [CrossRef] [Google Scholar]
- Hautreux G. et al., Pre-exascale Architectures: OpenPOWER Performance and Usability Assessment for French Scientific Community, ISC International Workshops 2017: 309-324 (2017) [Google Scholar]
- Lepage G. P., A New Algorithm for Adaptive Multidimensional Integration, J.Comput.Phys. 27:192 (1978) [NASA ADS] [CrossRef] [Google Scholar]
- Kanzaki J., Monte Carlo integration on GPU, European Physical Journal C, 71:1559 (2011) [CrossRef] [Google Scholar]
- Stone J E, Gohara D, and Shi G. Opencl: A parallel programming standard for hetero-geneous computing systems IEEE, Computing in Science & Engeneering, 12 (3), p. 66-73 (2010). [Google Scholar]
- Gropp W., Lusk E. and Skjellum A., Using MPI: portable parallel programming with the message-passing interface, MIT Press Cambridge MA, USA (1994) [Google Scholar]
- Brun R. and Rademakers F., ROOT - An Object Oriented Data Analysis Framework, Nucl. Inst. & Meth. in Phys. Res. A, 389:1-2 p. 81-86 (1997) [CrossRef] [Google Scholar]
- Alwall J., Herquet M., Maltoni F., Mattelaer O. and Stelzer T., MadGraph 5 : Going Beyond, JHEP 1106 128. arXiv:1106.0522, (2011) [CrossRef] [Google Scholar]
- Grasseau G. et al., Matrix element method for high performance computing platforms, CHEP 2015, J. Phys.: Conf. Ser. 664, p. 92009 (2015) [Google Scholar]
- Whalley M. R., Bourilkov D. and Group R. C., The Les Houches accord PDFs (LHAPDF) and Lhaglue, arXiv:hep-ph/0508110 (2005) [Google Scholar]
- Galassi M. et al., GNU Scientific Library Reference Manual, Network Theory Ltd third edition (2009) [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.