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Автор Andrew Maier
Автор Frederic Brochu
Автор Greg Cowan
Автор Ulrik Egede
Автор Johannes Elmsheuser
Автор Benjamin Gaidioz
Автор Karl Harrison
Автор Hurng-Chun Lee
Автор Dietrich Liko
Автор Jakub Moscicki
Автор Adrian Muraru
Автор Katarina Pajchel
Автор Will Reece
Автор Bjørn Samset
Автор Mark Slater
Автор Alexander Soroko
Автор Daniel van der Ster
Автор Mike Williams
Автор Chun Lik Tan
Дата выпуска 2010-04-01
dc.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.
Формат application.pdf
Издатель Institute of Physics Publishing
Копирайт © 2010 IOP Publishing Ltd
Название User analysis of LHCb data with Ganga
Тип paper
DOI 10.1088/1742-6596/219/7/072008
Electronic ISSN 1742-6596
Print ISSN 1742-6588
Журнал Journal of Physics: Conference Series
Том 219
Первая страница 72008
Последняя страница 72014
Выпуск 7

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