Event Indexing Systems for Efficient Selection and Analysis of HERA Data
<|reference_start|>Event Indexing Systems for Efficient Selection and Analysis of HERA Data: The design and implementation of two software systems introduced to improve the efficiency of offline analysis of event data taken with the ZEUS Detector at the HERA electron-proton collider at DESY are presented. Two different approaches were made, one using a set of event directories and the other using a tag database based on a commercial object-oriented database management system. These are described and compared. Both systems provide quick direct access to individual collision events in a sequential data store of several terabytes, and they both considerably improve the event analysis efficiency. In particular the tag database provides a very flexible selection mechanism and can dramatically reduce the computing time needed to extract small subsamples from the total event sample. Gains as large as a factor 20 have been obtained.<|reference_end|>
@article{bauerdick2001event,
    title={Event Indexing Systems for Efficient Selection and Analysis of HERA Data},
    author={L.A.T. Bauerdick, Adrian Fox-Murphy, Tobias Haas, Stefan Stonjek,
  Enrico Tassi},
    journal={Comput.Phys.Commun. 137 (2001) 236-246},
    year={2001},
    doi={10.1016/S0010-4655(01)00162-X},
    number={DESY 01-045},
    archivePrefix={arXiv},
    eprint={cs/0104008},
    primaryClass={cs.DB cs.IR}
}