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arXiv 1302.6091astro-ph.HE
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伽马射线暴脉冲谱分析的一种新方法

A new method of pulse-wise spectral analysis of Gamma-ray Bursts

Rupal Basak, A. R. Rao

摘要:

时间分辨谱分析是理解伽马射线暴(GRB)发射机制的一种很有前途的方法,但由于统计性差,在实际应用中很难实现。我们提出了一种新的方法,脉冲方式的时间分辨光谱研究的单个脉冲的伽玛暴,利用这一事实,许多光谱参数是常数或时间的光滑函数。我们使用这种方法的两个脉冲的伽玛暴081221,最明亮的伽玛暴与可分离的脉冲。我们选择,从文献中,一组可能的模型,其中包括带模型,黑体与幂律(BBPL),一个集合的黑体与一个平滑变化的温度分布,随着幂律(mBBPL),和两个黑体与幂律(2BBPL)。首先,我们进行时间分辨的研究,以确认光谱参数的变化,然后构建新的模型进行联合光谱拟合。我们发现,任何光球发射的黑体主要是在上升部分的脉冲和下降部分可以充分解释的能带模型,与同步辐射模型的范围内的低能光子指数。有趣的是,我们发现2BBPL在所有剧集中都与Band模型相当,有时甚至更好,尽管幅度很小。对费米时代最亮的伽玛暴-- GRB 090618也得到了一致的结果。我们指出,该方法是通用的,足以测试任何光谱模型定义良好的参数变化。

英文摘要:

Time-resolved spectral analysis, though a very promising method to understand the emission mechanism of gamma-ray bursts (GRBs), is difficult to implement in practice because of poor statistics. We present a new method for pulse-wise time-resolved spectral study of the individual pulses of GRBs, using the fact that many spectral parameters are either constants or smooth functions of time. We use this method for the two pulses of GRB 081221, the brightest GRB with separable pulses. We choose, from the literature, a set of possible models which includes the Band model, blackbody with a power-law (BBPL), a collection of black bodies with a smoothly varying temperature profile, along with a power-law (mBBPL), and two blackbodies with a power-law (2BBPL). First, we perform time-resolved study to confirm the spectral parameter variations, and then construct the new model to perform a joint spectral fit. We find that any photospheric emission in terms of black bodies is required mainly in the rising parts of the pulses and the falling part can be adequately explained in terms of the Band model, with the low energy photon index within the regime of synchrotron model. Interestingly, we find that 2BBPL is comparable or sometimes even better, though marginally, than the Band model, in all episodes. Consistent results are also obtained for the brightest GRB of Fermi era --- GRB 090618. We point out that the method is generic enough to test any spectral model with well defined parameter variations.

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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