Data structures for particle physics experiments : evolution or revolution? : proceedings of the 14th Workshop of the INFN Eloisatron Project, 11-18 November, 1990, Erice, Sicily, Italy
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Bibliographic Information
Data structures for particle physics experiments : evolution or revolution? : proceedings of the 14th Workshop of the INFN Eloisatron Project, 11-18 November, 1990, Erice, Sicily, Italy
World Scientific, 1991
Available at 4 libraries
Note
Includes bibliographical references
Description and Table of Contents
Description
HEP data structure systems, such as ADAMO, BOS, CHEETAH, JAZELLE, ZEBRA, etc., are not static but continue to evolve, some slowly, others more quickly. Large systems have been built on them, and by a careful comparison of their usage in experiments, one should be able to better understand which way to go. It is crucial to preserve the current investment while exploiting new computing technology.Experiments at large colliders are taking data and doing physics (or about to do so), so one can now compare practical experiences with different data management solutions in the area of: Simulation of Interactions and their Detection, Data Acquisition, On Line Management, Description of Detector and other Equipment, Experiment and Data Processing Bookkeeping, Reconstruction Algorithms, Event Display and Statistical Data Analysis.The articles in these proceedings are by contributors who are active in developing computer systems for Experimental Particle Physics where the organisation of the data plays an important role, as well as those who are building systems and packages to make this work easier.
Table of Contents
- HEP data systems - status and future developments, V. Blobel, et al
- user experience, H. Johnstad, et al
- applications - simulations, acquisition, reconstruction, G. La Commare, et al
- data design and documentation, O. Schaile, et al
- architectures, Ch. Arnault
- data in programming languages, M. Metcalf, et al
- data bases, data on mass storage, distributed data, A. Putzer, et al
- data structures needs for graphics and interactive data analysis, S. Hagopian, et al.
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