Bagoly 2007 伽玛暴中的三个独立参量

主要内容:
作者考虑用统计关系将伽玛暴普遍用的八个独立参量缩小为三个，分别是z, \alpha, \beta, AG_break, E_peak, AG_\alpha, T_90 and fluence，三个独立参量是T90， fluence， the fluence on the highest energy channel, 所用到的统计关有log T90 - log(1+z)
(p = 66.49%), log(1 + z) - \alpha (p = 99.75%), log Fluence - log T90 (p = 95.49%), logEpeak- log T90 (p = 97.98%) and log Epeak - log Fluence (p = 99.72%). 其中p是可信度。

精彩摘抄:


文章信息:
Principal Component Analysis of Gamma-Ray Bursts' Spectra

Authors: Z. Bagoly, I. Horvath, L.G. Balazs, L. Borgonovo, S. Larsson, A. Meszaros, F. Ryde

(Submitted on 2 May 2007)

Abstract: Principal component analysis is a statistical method, which lowers the number of important variables in a data set. The use of this method for the bursts' spectra and afterglows is discussed in this paper. The analysis indicates that three principal components are enough among the eight ones to describe the variablity of the data. The correlation between spectral index alpha and the redshift suggests that the thermal emission component becomes more dominant at larger redshifts.

Comments:

published in Nuovo Cimento

Subjects:

Astrophysics (astro-ph)

Journal reference:

Nuovo Cim. 28C (2005) 295

Cite as:

arXiv:0705.0249v1 [astro-ph]