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arXiv 1111.2719astro-ph.HEphysics.data-an
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伽马射线暴概率密度函数的时间演化--turbulence起源的一种可能指示

Time evolution of probability density function of gamma ray burst (GRB) - a possible indication of turbulence origin of GRB

Nilay Bhatt, Subir Bhattacharyya

摘要:

伽马射线暴(GRB)时间序列是一种非平稳时间序列,其统计特性随时间变化。考虑到每个伽玛暴都是同一随机过程的不同表现形式,我们研究了表征其随机过程的时间依赖和时间平均概率密度函数(\emph{pdf})。用高斯分布函数拟合了\emph{pdf},并认为高斯分布的\emph{pdf}可能指示了伽玛暴的湍流起源。通过谱型、色图和磁滞回线的演化,研究了伽玛暴的光谱和时间演化。结果并不矛盾的湍流解释的伽玛暴。

英文摘要:

Gamma ray burst (GRB) time series is a non-stationary time series with all its statistical properties varying with time. Considering that each GRB is a different manifestation of the same stochastic process we studied the time dependent as well as time averaged probability density function (\emph{pdf}) characterizing the underlying stochastic process. The \emph{pdf}s are fitted with Gaussian distribution function and it has been argued that the Gaussian \emph{pdf}s possibly indicate the turbulence origin of GRB. The spectral and temporal evolution of GRBs are also studied through the evolution of spectral forms, color-color diagrams and hysteresis loops. The results do not contradict the turbulence interpretation of GRB.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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