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An Application of Visual Analytics Methods to Cluster and Categorize Data Processing Jobs in High Energy and Nuclear Physics Experiments
Hundreds of petabytes of experimental data in high energy and nuclear physics (HENP) have been collected by unique scientific facilities, such as LHC, RHIC and KEK. As the accelerators are being upgraded with increased energy and luminosity, data volumes are rapidly growing and have reached the exab...
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| Lenguaje: | eng |
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2020
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| Acceso en línea: | http://cds.cern.ch/record/2742496 |