Title :
Analyzing high energy physics data using databases: a case study
Author :
Grossman, R. ; Qin, X. ; Valsamis, D. ; Xu, W. ; Day, C.T. ; Loken, S. ; MacFarlane, J.F. ; Quarrie, D. ; May, E. ; Lifka, D. ; Malon, D. ; Price, L.E. ; Baden, A. ; Cornell, L. ; Leibold, P. ; Liu, D. ; Nixdorf, U. ; Scipioni, B. ; Song, T.
Author_Institution :
Lab. for Adv. Comput., Illinois Univ., Chicago, IL, USA
Abstract :
We describe the initial work of the PASS Project which uses techniques from distributed object management to analyze experimental data from high energy physics. At this time, we have designed two prototypes to analyze high energy physics data from the CDF experiment at Fermi Lab. The data from this experiment consists of “events” which describe particle collisions. Each event consists of several hundred numerical attributes and occupies approximately 10 K in a compressed format. We describe our experience analyzing this data using a relational database, an object oriented database, and a persistent object manager
Keywords :
data analysis; high-energy elementary particle interactions; object-oriented databases; physics computing; relational databases; CDF experiment; Fermi Lab; PASS Project; databases; distributed object management; high energy physics data; numerical attributes; object oriented database; persistent object manager; relational database; Computer aided software engineering; Data analysis; Distributed databases; Energy management; Laboratories; Object oriented databases; Particle collisions; Physics; Project management; Relational databases;
Conference_Titel :
Scientific and Statistical Database Management, 1994. Proceedings., Seventh International Working Conference on
Conference_Location :
Charlottesville, VA
Print_ISBN :
0-8186-6610-2
DOI :
10.1109/SSDM.1994.336938
