Real Time Processing

<!--HTML-->The LHC provides experiments with an unprecedented amount of data. Experimental collaborations need to meet storage and computing requirements for the analysis of this data: this is often a limiting factor in the physics program that would be achievable if the whole dataset could be...

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Detalles Bibliográficos
Autores principales: GLIGOROV, Vladimir, ANDERSON, Dustin James, DOGLIONI, Caterina
Lenguaje:eng
Publicado: 2015
Materias:
LPCC Workshops
Acceso en línea:http://cds.cern.ch/record/2069150
Descripción
Sumario:<!--HTML-->The LHC provides experiments with an unprecedented amount of data. Experimental collaborations need to meet storage and computing requirements for the analysis of this data: this is often a limiting factor in the physics program that would be achievable if the whole dataset could be analysed. In this talk, I will describe the strategies adopted by the LHCb, CMS and ATLAS collaborations to overcome these limitations and make the most of LHC data: data parking, data scouting, and real-time analysis.

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