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 |