Canonical correlation between the gamma and X-ray data of Swift GRBs

L. G. Balázs, I. Horváth, P. Mészáros, G. Tusnády, P. Veres

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We used the canonical correlation analysis of the multivariate statistics to study the interrelation between the gamma (Fluence, 1sec Peakflux, duration) and X-ray (early X flux, 24 hours X flux, X decay index, X spectral index, X HI column density) data. We computed the canonical correlations and variables showing that there is a significant interrelation between the gamma and X-ray data. Using the canonical variables resulted in the analysis we computed their correlations (canonical loadings) with the original ones. The canonical loadings revealed that the gamma-ray fluence and the early X-ray flux give the strongest contribution to the correlation in contrast to the X-ray decay index and spectral index. An interesting new result appears to be the strong contribution of the HI column density to the correlation. Accepting the collapsar model of long GRBs this effect may be interpreted as an indication for the ejection of an HI envelope by the progenitor in the course of producing the GRB.

Original languageEnglish (US)
Title of host publicationGamma-Ray Burst - 6th Huntsville Symposium
Pages209-211
Number of pages3
DOIs
Publication statusPublished - Nov 27 2009
Event6th Huntsville Symposium on Gamma-Ray Bursts - Huntsville, AL, United States
Duration: Oct 20 2008Oct 23 2008

Publication series

NameAIP Conference Proceedings
Volume1133
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Other

Other6th Huntsville Symposium on Gamma-Ray Bursts
CountryUnited States
CityHuntsville, AL
Period10/20/0810/23/08

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All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

Balázs, L. G., Horváth, I., Mészáros, P., Tusnády, G., & Veres, P. (2009). Canonical correlation between the gamma and X-ray data of Swift GRBs. In Gamma-Ray Burst - 6th Huntsville Symposium (pp. 209-211). (AIP Conference Proceedings; Vol. 1133). https://doi.org/10.1063/1.3155879