Principal Component Analysis of Long-Lag, Wide-Pulse Gamma-Ray Burst Data

Journal of astrophysics and astronomy

Wen-Shuai Liu¹  Zhao-Yang Peng1¹ 

[1] Department of Physics, Yunnan Normal University, Kunming 650500, China.$$

关键词: Gamma-rays: bursts;    method: statistical.;   

DOI  :  

学科分类：天文学(综合)

来源: Indian Academy of Sciences

【 摘 要 】

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.

【 授权许可】

Unknown