A principal component analysis of the 3B gamma-ray burst data

Z. Bagoly, A. Mészáros, I. Horvath, L. G. Balázs, Peter Istvan Meszaros

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

We have carried out a principal component analysis for 625 gamma-ray bursts in the BATSE 3D catalog for which nonzero values exist for the nine measured variables. This shows that only two out of the three basic quantities of duration, peak flux, and fluence are independent, even if this relation is strongly affected by instrumental effects, and these two account for 91.6% of the total information content. The next most important variable is the fluence in the fourth energy channel (at energies above 320 keV). This has a larger variance and is less correlated with the fluences in the remaining three channels than the latter correlate among themselves. Thus a separate consideration of the fourth channel and an increased attention paid to the related hardness ratio H43 appear useful for future studies. The analysis gives the weights for the individual measurements needed to define a single duration, peak flux, and fluence. It also shows that, in logarithmic variables, the hardness ratio H32 is significantly correlated with peak flux, while H43 is significantly anticorrelated with peak flux. The principal component analysis provides a potentially useful tool for estimating the improvement in information content to be achieved by considering alternative variables or for performing various corrections on available measurements.

Original languageEnglish (US)
Pages (from-to)342-348
Number of pages7
JournalAstrophysical Journal
Volume498
Issue number1 PART I
DOIs
StatePublished - Jan 1 1998

Fingerprint

principal components analysis
gamma ray bursts
principal component analysis
fluence
hardness
energy
catalogs
estimating

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

Cite this

Bagoly, Z., Mészáros, A., Horvath, I., Balázs, L. G., & Meszaros, P. I. (1998). A principal component analysis of the 3B gamma-ray burst data. Astrophysical Journal, 498(1 PART I), 342-348. https://doi.org/10.1086/305530
Bagoly, Z. ; Mészáros, A. ; Horvath, I. ; Balázs, L. G. ; Meszaros, Peter Istvan. / A principal component analysis of the 3B gamma-ray burst data. In: Astrophysical Journal. 1998 ; Vol. 498, No. 1 PART I. pp. 342-348.
@article{ebcdbaf1840c4ef1b0fb1c72801799e6,
title = "A principal component analysis of the 3B gamma-ray burst data",
abstract = "We have carried out a principal component analysis for 625 gamma-ray bursts in the BATSE 3D catalog for which nonzero values exist for the nine measured variables. This shows that only two out of the three basic quantities of duration, peak flux, and fluence are independent, even if this relation is strongly affected by instrumental effects, and these two account for 91.6{\%} of the total information content. The next most important variable is the fluence in the fourth energy channel (at energies above 320 keV). This has a larger variance and is less correlated with the fluences in the remaining three channels than the latter correlate among themselves. Thus a separate consideration of the fourth channel and an increased attention paid to the related hardness ratio H43 appear useful for future studies. The analysis gives the weights for the individual measurements needed to define a single duration, peak flux, and fluence. It also shows that, in logarithmic variables, the hardness ratio H32 is significantly correlated with peak flux, while H43 is significantly anticorrelated with peak flux. The principal component analysis provides a potentially useful tool for estimating the improvement in information content to be achieved by considering alternative variables or for performing various corrections on available measurements.",
author = "Z. Bagoly and A. M{\'e}sz{\'a}ros and I. Horvath and Bal{\'a}zs, {L. G.} and Meszaros, {Peter Istvan}",
year = "1998",
month = "1",
day = "1",
doi = "10.1086/305530",
language = "English (US)",
volume = "498",
pages = "342--348",
journal = "Astrophysical Journal",
issn = "0004-637X",
publisher = "IOP Publishing Ltd.",
number = "1 PART I",

}

Bagoly, Z, Mészáros, A, Horvath, I, Balázs, LG & Meszaros, PI 1998, 'A principal component analysis of the 3B gamma-ray burst data', Astrophysical Journal, vol. 498, no. 1 PART I, pp. 342-348. https://doi.org/10.1086/305530

A principal component analysis of the 3B gamma-ray burst data. / Bagoly, Z.; Mészáros, A.; Horvath, I.; Balázs, L. G.; Meszaros, Peter Istvan.

In: Astrophysical Journal, Vol. 498, No. 1 PART I, 01.01.1998, p. 342-348.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A principal component analysis of the 3B gamma-ray burst data

AU - Bagoly, Z.

AU - Mészáros, A.

AU - Horvath, I.

AU - Balázs, L. G.

AU - Meszaros, Peter Istvan

PY - 1998/1/1

Y1 - 1998/1/1

N2 - We have carried out a principal component analysis for 625 gamma-ray bursts in the BATSE 3D catalog for which nonzero values exist for the nine measured variables. This shows that only two out of the three basic quantities of duration, peak flux, and fluence are independent, even if this relation is strongly affected by instrumental effects, and these two account for 91.6% of the total information content. The next most important variable is the fluence in the fourth energy channel (at energies above 320 keV). This has a larger variance and is less correlated with the fluences in the remaining three channels than the latter correlate among themselves. Thus a separate consideration of the fourth channel and an increased attention paid to the related hardness ratio H43 appear useful for future studies. The analysis gives the weights for the individual measurements needed to define a single duration, peak flux, and fluence. It also shows that, in logarithmic variables, the hardness ratio H32 is significantly correlated with peak flux, while H43 is significantly anticorrelated with peak flux. The principal component analysis provides a potentially useful tool for estimating the improvement in information content to be achieved by considering alternative variables or for performing various corrections on available measurements.

AB - We have carried out a principal component analysis for 625 gamma-ray bursts in the BATSE 3D catalog for which nonzero values exist for the nine measured variables. This shows that only two out of the three basic quantities of duration, peak flux, and fluence are independent, even if this relation is strongly affected by instrumental effects, and these two account for 91.6% of the total information content. The next most important variable is the fluence in the fourth energy channel (at energies above 320 keV). This has a larger variance and is less correlated with the fluences in the remaining three channels than the latter correlate among themselves. Thus a separate consideration of the fourth channel and an increased attention paid to the related hardness ratio H43 appear useful for future studies. The analysis gives the weights for the individual measurements needed to define a single duration, peak flux, and fluence. It also shows that, in logarithmic variables, the hardness ratio H32 is significantly correlated with peak flux, while H43 is significantly anticorrelated with peak flux. The principal component analysis provides a potentially useful tool for estimating the improvement in information content to be achieved by considering alternative variables or for performing various corrections on available measurements.

UR - http://www.scopus.com/inward/record.url?scp=22044457486&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=22044457486&partnerID=8YFLogxK

U2 - 10.1086/305530

DO - 10.1086/305530

M3 - Article

VL - 498

SP - 342

EP - 348

JO - Astrophysical Journal

JF - Astrophysical Journal

SN - 0004-637X

IS - 1 PART I

ER -

Bagoly Z, Mészáros A, Horvath I, Balázs LG, Meszaros PI. A principal component analysis of the 3B gamma-ray burst data. Astrophysical Journal. 1998 Jan 1;498(1 PART I):342-348. https://doi.org/10.1086/305530