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出 处:《天文学报》2002年第4期341-346,共6页Acta Astronomica Sinica
基 金:国家重点基础研究专项经费资助
摘 要:分析了Balastegui等(2001)应用神经网络划分出的两类长γ暴的平均傅里叶功率谱(PDS).两类暴的平均PDS都具有明显的幂律谱结构.对两类暴分别按亮度和能谱硬度分组,计算各组的平均功率谱,两类暴都具有平均功率谱随亮度和能谱硬度的增加而变平的趋势.Averaged Power Density Spectra (PDSs) of two classes of long gamma-ray hursts classified from neural network analysis by Balastegui et al.(2001) recently are investigated. The PDSs of two classes both follow a power law in wide frequency range with approximately the same slope, which indicates a process with a self-similar temporal property may underlie in emission mechanisms of the both classes. The two classes of bursts are divided into groups according to their brightness and spectral hardness distributions respectively and each group's PDS is calculated. PDSs of the two classes both are flatten with increasing burst brightness and hardness respectively.
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