Abstract
We have carried out a Principal Component Analysis (PCA) of the temporal and spectral variables of 24 long-lag, wide-pulse gamma-ray bursts (GRBs) presented by Norris et al. (2005). Taking all eight temporal and spectral parameters into account, our analysis shows that four principal components are enough to describe the variation of the temporal and spectral data of long-lag bursts. In addition, the first-two principal components are dominated by the temporal variables while the third and fourth principal components are dominated by the spectral parameters.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Jolliffe, I. T. 2002, Principal Component Analysis, 2nd ed. (New York: Springer).
Murtagh, F., Heck, A. 1987, Multivariate Data Analysis, p. 131.
Norris. et al. 2005, Astrophys. J., 627, 324.
Norris. et al. 1996, Astrophys. J., 459, 393.
Acknowledgements
This work was supported by the National Natural Science Foundation of China (No. 11263006), the Key Programme for the Science Fund of the Education Department of Yunnan Province (2011Z004), the Key Laboratory for the Structure and Evolution of Celestial Objects (OP201106).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Peng, ZY., Liu, WS. Principal Component Analysis of Long-Lag,Wide-Pulse Gamma-Ray Burst Data. J Astrophys Astron 35, 527–528 (2014). https://doi.org/10.1007/s12036-014-9274-0
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12036-014-9274-0