Integration of the ATLAS Tag Database With Data Management and Analysis Components
Source: University of Glasgow
The ATLAS Tag Database is an event-level metadata system, designed to allow efficient identification and selection of interesting events for user analysis. By making first-level cuts using queries on a relational database, the size of an analysis input sample could be greatly reduced and thus the time taken for the analysis reduced. Deployment of such a Tag database is underway, but to be most useful it needs to be integrated with the Distributed Data Management (DDM) and Distributed Analysis (DA) components. This means addressing the issue that the DDM system at ATLAS groups les into datasets for scalability and usability, whereas the Tag Database points to events in les.