User analysis of LHCb data with Ganga

GANGA (http://cern.ch/ganga) is a job-management tool that offers a simple, efficient and consistent user analysis tool in a variety of heterogeneous environments: from local clusters to global Grid systems. Experiment specific plug-ins allow GANGA to be customised for each experiment. For LHCb user...

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Detalles Bibliográficos
Autores principales: Maier, A, Brochu, F, Cowan, G, Egede, U, Elmsheuser, J, Gaidioz, B, Harrison, K, Lee, H -C, Liko, D, Moscicki, J, Muraru, A, Pajchel, K, Reece, W, Samset, B, Slater, M, Soroko, A, van der Ster, D, Williams, M, Tan, C L
Lenguaje:eng
Publicado: 2010
Materias:
Computing and Computers
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/219/7/072008
http://cds.cern.ch/record/1270550
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author Maier, A
Brochu, F
Cowan, G
Egede, U
Elmsheuser, J
Gaidioz, B
Harrison, K
Lee, H -C
Liko, D
Moscicki, J
Muraru, A
Pajchel, K
Reece, W
Samset, B
Slater, M
Soroko, A
van der Ster, D
Williams, M
Tan, C L
author_facet Maier, A
Brochu, F
Cowan, G
Egede, U
Elmsheuser, J
Gaidioz, B
Harrison, K
Lee, H -C
Liko, D
Moscicki, J
Muraru, A
Pajchel, K
Reece, W
Samset, B
Slater, M
Soroko, A
van der Ster, D
Williams, M
Tan, C L
author_sort Maier, A
collection CERN
description GANGA (http://cern.ch/ganga) is a job-management tool that offers a simple, efficient and consistent user analysis tool in a variety of heterogeneous environments: from local clusters to global Grid systems. Experiment specific plug-ins allow GANGA to be customised for each experiment. For LHCb users GANGA is the officially supported and advertised tool for job submission to the Grid. The LHCb specific plug-ins allow support for end-to-end analysis helping the user to perform his complete analysis with the help of GANGA. This starts with the support for data selection, where a user can select data sets from the LHCb Bookkeeping system. Next comes the set up for large analysis jobs: with tailored plug-ins for the LHCb core software, jobs can be managed by the splitting of these analysis jobs with the subsequent merging of the resulting files. Furthermore, GANGA offers support for Toy Monte-Carlos to help the user tune their analysis. In addition to describing the GANGA architecture, typical usage patterns within LHCb and experience with the updated LHCb DIRAC workload management system are presented
id cern-1270550
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2010
record_format invenio
spelling cern-12705502022-08-17T13:24:58Zdoi:10.1088/1742-6596/219/7/072008http://cds.cern.ch/record/1270550engMaier, ABrochu, FCowan, GEgede, UElmsheuser, JGaidioz, BHarrison, KLee, H -CLiko, DMoscicki, JMuraru, APajchel, KReece, WSamset, BSlater, MSoroko, Avan der Ster, DWilliams, MTan, C LUser analysis of LHCb data with GangaComputing and ComputersGANGA (http://cern.ch/ganga) is a job-management tool that offers a simple, efficient and consistent user analysis tool in a variety of heterogeneous environments: from local clusters to global Grid systems. Experiment specific plug-ins allow GANGA to be customised for each experiment. For LHCb users GANGA is the officially supported and advertised tool for job submission to the Grid. The LHCb specific plug-ins allow support for end-to-end analysis helping the user to perform his complete analysis with the help of GANGA. This starts with the support for data selection, where a user can select data sets from the LHCb Bookkeeping system. Next comes the set up for large analysis jobs: with tailored plug-ins for the LHCb core software, jobs can be managed by the splitting of these analysis jobs with the subsequent merging of the resulting files. Furthermore, GANGA offers support for Toy Monte-Carlos to help the user tune their analysis. In addition to describing the GANGA architecture, typical usage patterns within LHCb and experience with the updated LHCb DIRAC workload management system are presentedoai:cds.cern.ch:12705502010
spellingShingle Computing and Computers
Maier, A
Brochu, F
Cowan, G
Egede, U
Elmsheuser, J
Gaidioz, B
Harrison, K
Lee, H -C
Liko, D
Moscicki, J
Muraru, A
Pajchel, K
Reece, W
Samset, B
Slater, M
Soroko, A
van der Ster, D
Williams, M
Tan, C L
User analysis of LHCb data with Ganga
title User analysis of LHCb data with Ganga
title_full User analysis of LHCb data with Ganga
title_fullStr User analysis of LHCb data with Ganga
title_full_unstemmed User analysis of LHCb data with Ganga
title_short User analysis of LHCb data with Ganga
title_sort user analysis of lhcb data with ganga
topic Computing and Computers
url https://dx.doi.org/10.1088/1742-6596/219/7/072008
http://cds.cern.ch/record/1270550
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