Open Access
| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 06001 | |
| Number of page(s) | 8 | |
| Section | T6 - Machine learning & analysis | |
| DOI | https://doi.org/10.1051/epjconf/201921406001 | |
| Published online | 17 September 2019 | |
- CMS Collaboration, “The CMS experiment at the CERN LHC”, JINST 3 S08004 (2008). [Google Scholar]
- The LHC Study Group, “The Large Hadron Collider: conceptual design”, Technical report, CERN/AC/95-05 (LHC) Geneva (1995). [Google Scholar]
- CMS Collaboration, “Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC”, Physics Letters B 716 (1):30–61 (2012). [Google Scholar]
- CMS Collaboration, “Precise determination of the mass of the Higgs boson and tests of compatibility of its couplings with the standard model predictions using proton collisions at 7 and 8 TeV,” Eur. Phys. J. C 75(5) (2015), 212. [CrossRef] [EDP Sciences] [Google Scholar]
- CMS Collaboration, “Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at √s = 13 TeV,” JINST 13 P06015 (2018). [CrossRef] [Google Scholar]
- F. Sauli, “GEM: A new concept for electron amplification in gas detectors”, Nucl. In-strum. Meth. A 386 (1997) 531–534. [Google Scholar]
- A. Colaleo, A. Safonov, A. Sharma and M. Tytgat, “CMS Technical Design Report for the Muon Endcap GEM Upgrade”, CERN-LHCC-2015-012. CMS-TDR-013 (2015). [Google Scholar]
- F. De Guio, “The data quality monitoring challenge at CMS: experience from first collisions and future plans”, Technical report (2015). [Google Scholar]
- AutoDQM GITHub webpage: https://github.com/jkguiang/AutoDQM/wiki. [Google Scholar]
- A. A. Pol, G. Cerminara, C. Germain, M. Pierini and A. Seth, “Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider,” arXiv:1808.00911 [physics.data-an]. [Google Scholar]
- CMS Collaboration, “CMS Technical Design Report for the Level-1 Trigger Upgrade,” CERN-LHCC-2013-011, CMS-TDR-12, CMS-TDR-012. [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.