Speaker
Elizabeth Gallas
(University of Oxford (GB))
Description
In the ATLAS experiment, database systems generally store the bulk of conditions and configuration data needed by event-wise reconstruction and analysis jobs. These systems can be relatively large stores of information, organized and indexed primarily to store all information required for system-specific use cases and efficiently deliver
the required information to event-based jobs.
Metadata in these systems may include the indexes themselves, but frequently important metadata for forming, for example, collections of events for analysis or for the management of that system may not be readily accessible
for more global purposes.
Moreover, the systems may have been developed before important metadata quantities were recognized.
A system, called COMA (Conditions/Configuration Metadata for ATLAS),
has been developed to make globally important metadata more readily accessible.
It is based on a relational database storing directly extracted, refined, reduced, and derived information from these system-specific data sources as well as information from non-database sources. A variety of unique interfaces have emerged and additional interfaces are in development.
This presentation will give an overview of the components of the system and describe the unique interfaces which it facilitates.
We summarize the challenges in defining and loading the requisite data and specify how consistency is maintained between COMA and the primary data sources.
Primary author
Elizabeth Gallas
(University of Oxford (GB))
Co-authors
Collaboration Atlas
(Atlas)
Fabian Lambert
(Centre National de la Recherche Scientifique (FR))
Jeffrey Tseng
(University of Oxford (GB))
Jerome Fulachier
(Centre National de la Recherche Scientifique (FR))
Katherine Pachal
(University of Oxford (GB))
Qizhi Zhang
(High Energy Physics Division)
Dr
Solveig Albrand
(Centre National de la Recherche Scientifique (FR))
