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Importance of the High Energy Channel for the Gamma-Ray Burst Data

Published online by Cambridge University Press:  25 May 2016

A. Mészáros ,
Z. Bagoly ,
L. G. Balázs ,
I. Horváth  and
P. Mészáros
A. Mészáros
Affiliation:
Dpt. Astron., Charles Univ., Prague 5, Švédská 8, Czech Rep. Konkoly Obs., Budapest, Box 67, H-1525, Hungary
Z. Bagoly
Affiliation:
Eötvös Univ., Lab. Inform. Technol., Múzeum krt. 6-8, H-1088 Budapest, Hungary
L. G. Balázs
Affiliation:
Konkoly Obs., Budapest, Box 67, H-1525, Hungary
I. Horváth
Affiliation:
Dpt. Astron., Penn. State Univ., 525 Davey Lab., University Park, PA 16802, USA
P. Mészáros
Affiliation:
Dpt. Astron., Penn. State Univ., 525 Davey Lab., University Park, PA 16802, USA

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Extensive data bases on Gamma-Ray Burst (GRB) properties such as the BATSE 3B catalog (Meegan et al. 1996) contain a wealth of statistical information. The nine entries of the 3B database for each GRB consist of two durations, T50, T90, which contain 50% and 90% of the burst energy, respectively; four fluences (time-integrated energy fluxes) F1, F2, F3, F4, defined over different energy channels; and three measures of the peak flux (each summed over the four energy channels), measured over three different resolution timescales (64 ms, 256 ms and 1024 ms). Thus the initial number of variables is n = 9. There is, of course, some incompleteness in the catalog. There are 625 GRBs having all 9 non-zero quantities, and only they are considered here.

Type
Session 3: Diagnostics of High Gravity Objects with X- and Gamma Rays
Information
Symposium - International Astronomical Union , Volume 188: The Hot Universe , 1998 , pp. 461 - 462
Copyright
Copyright © Kluwer 1998 

References

Bagoly, Z., et al. (1997) A Principal Component Analysis of the 3B Gamma-Ray Burst Data, Astrophys. J. , submitted for publication.Google Scholar
Jolliffe, I. T. (1972) Discarding Variables in a Principal Component Analysis, I: Artificial data, Appl. Statist. , 21, 160–173.Google Scholar
Jolliffe, I. T. (1986) Principal Component Analysis. Springer, New York.Google Scholar
Kendall, M. and Stuart, A. (1976) The Advanced Theory of Statistics. Griffin, London.Google Scholar
Meegan, C. A., et al. (1996) The Third BATSE 3B Gamma-Ray Catalog, Astrophys. J. Suppl. , 106, 65–110.Google Scholar