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Machine Learning Techniques in the ATLAS TDAQ Network Monitoring System / Wyszynski, Oskar Justynian (European Laboratory for Particle Physics, CERN) ; Pozo Astigarraga, Mikel Eukeni (European Laboratory for Particle Physics, CERN) /ATLAS Collaboration
Network monitoring is of great importance for every data acquisition system (DAQ), it ensures stable and uninterrupted data flow. However, when using standard tools such as Icinga, often homogeneity of the DAQ hardware is not exploited. [...]
ATL-DAQ-SLIDE-2019-082.- Geneva : CERN, 2019 - 11 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Saas Fee, Switzerland, 11 - 15 Mar 2019

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Study of Hadron Production in Hadron-Nucleus and Nucleus-Nucleus Collisions at the CERN SPS / Nagy, R L

et al. - SHINE.
Approved: 21 February 2007.-
Status: Data Taking
Fulltext: NA61 - PDF; NA61_2 - PDF; External link: Experiment home page
Experiment: NA61

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似た著者名：
1	Wyszynski, O
54	Wyszynski, O.
6	Wyszynski, Oskar
2	Wyszynski, Oskar Justynian
54	Wyszyński, O.
6	Wyszyński, Oskar

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