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

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    • Keywords


      Gamma-rays: bursts; method: statistical.

    • 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.

    • Author Affiliations


      Zhao-Yang Peng1 Wen-Shuai Liu1

      1. Department of Physics, Yunnan Normal University, Kunming 650500, China.
    • Dates

  • Journal of Astrophysics and Astronomy | News

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