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ATLAS Detector Data Processing on the Grid

The ATLAS detector is in the second year of continuous LHC running. A starting point for ATLAS physics analysis is data reconstruction. Following the prompt reconstruction, the ATLAS data are reprocessed, which allows reconstruction of the data with updated software and calibrations providing cohere...

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Autor principal: Vaniachine, A V
Lenguaje:eng
Publicado: 2011
Materias:
Acceso en línea:http://cds.cern.ch/record/1403169
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author Vaniachine, A V
author_facet Vaniachine, A V
author_sort Vaniachine, A V
collection CERN
description The ATLAS detector is in the second year of continuous LHC running. A starting point for ATLAS physics analysis is data reconstruction. Following the prompt reconstruction, the ATLAS data are reprocessed, which allows reconstruction of the data with updated software and calibrations providing coherence and improving the quality of the reconstructed data for physics analysis. The large-scale data reprocessing campaigns are conducted on the Grid. Computing centers around the world participate in reprocessing providing tens of thousands of CPU-cores for a faster throughput. Reprocessing relies upon underlying ATLAS technologies providing reproducibility of results, scalable database access, orchestrated workflow and performance monitoring, dynamic workload sharing, and petascale data integrity control. These technologies are also empowering ATLAS physics and subsystem groups in further data processing steps on the Grid. We present the experience of large-scale data reprocessing campaigns and group data processing on the Grid.
id cern-1403169
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2011
record_format invenio
spelling cern-14031692019-09-30T06:29:59Zhttp://cds.cern.ch/record/1403169engVaniachine, A VATLAS Detector Data Processing on the GridDetectors and Experimental TechniquesThe ATLAS detector is in the second year of continuous LHC running. A starting point for ATLAS physics analysis is data reconstruction. Following the prompt reconstruction, the ATLAS data are reprocessed, which allows reconstruction of the data with updated software and calibrations providing coherence and improving the quality of the reconstructed data for physics analysis. The large-scale data reprocessing campaigns are conducted on the Grid. Computing centers around the world participate in reprocessing providing tens of thousands of CPU-cores for a faster throughput. Reprocessing relies upon underlying ATLAS technologies providing reproducibility of results, scalable database access, orchestrated workflow and performance monitoring, dynamic workload sharing, and petascale data integrity control. These technologies are also empowering ATLAS physics and subsystem groups in further data processing steps on the Grid. We present the experience of large-scale data reprocessing campaigns and group data processing on the Grid.ATL-SOFT-PROC-2011-046oai:cds.cern.ch:14031692011-12-02
spellingShingle Detectors and Experimental Techniques
Vaniachine, A V
ATLAS Detector Data Processing on the Grid
title ATLAS Detector Data Processing on the Grid
title_full ATLAS Detector Data Processing on the Grid
title_fullStr ATLAS Detector Data Processing on the Grid
title_full_unstemmed ATLAS Detector Data Processing on the Grid
title_short ATLAS Detector Data Processing on the Grid
title_sort atlas detector data processing on the grid
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/1403169
work_keys_str_mv AT vaniachineav atlasdetectordataprocessingonthegrid