Speaker
Dr
Caitriana Nicholson
(University of Glasgow)
Description
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 files into datasets for scalability and
usability, whereas the Tag database points to events in files. It also
means setting up a system which could prepare a list of
input events and use both the DDM and DA systems to run a set of jobs.
The ATLAS Tag Navigator Tool (TNT) has been developed
to address these issues in an integrated way and provide a tool that
the average physicist can use. Here, the current status of this work is
presented and areas of future work are highlighted.
Primary author
Dr
Caitriana Nicholson
(University of Glasgow)
Co-authors
Dr
David Malon
(Argonne National Laboratory)
Ms
Helen McGlone
(University of Glasgow)
Dr
Jack Cranshaw
(Argonne National Laboratory)
Dr
Michael Kenyon
(University of Glasgow)
