User analysis of LHCbdata with Ganga
Andrew Maier, Frederic M. Brochu, Greg Cowan, U. Egede, J. Elmsheuser, Benjamin Gaidioz, Karl Harrison, Hurng-Chun Lee, Dietrich Liko, Jakub Mościcki, Adrian Muraru, Katarina PAJCHEL, Will Reece, Bjørn Hallvard Samset, Mark William Slater, Alexander Soroko, Daniel van der Ster, Mike Williams, C L A Tan · Journal of Physics Conference Series · 2010
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 LHC b users GANGA is the officially supported and advertised tool for job submission to the Grid. The LHC b 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 LHC b Bookkeeping system. Next comes the set up for large analysis jobs: with tailored plug-ins for the LHC b 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 LHC b and experience with the updated LHC b DIRAC workload management system are presented.