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arXiv 1311.1998astro-ph.HE
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伽马射线暴瞬发中的康普顿化特征

Comptonization signatures in the prompt emission of Gamma Ray Bursts

Filippo Frontera, Lorenzo Amati, Ruben Farinelli, Simone Dichiara, Cristiano Guidorzi, Raffaella Landi, Lev Titarchuk

摘要:

本文报道了用BeppoSAX卫星上的宽视场照相机(WFC)和CGRO上的BATSE实验探测到的一个伽马射线暴(GRB)样品的宽带(2- 2000 keV)时间分辨瞬发光谱的系统研究结果。本文的主要目标是测试最近提出的伽玛暴瞬发辐射的光谱模型。特别是,我们测试了Ryde和Pe'er(2009)提出的光球模型,即,黑体加幂律,在该函数不适合数据的情况下将黑体发射添加到能带函数,以及Titarchuk等人开发的康普顿化模型(2012)。通过考虑简单带函数不能提供完全可接受的数据拟合的少数光谱(Frontera等人,2012),只有在一种情况下,我们通过向该函数添加黑体发现了统计上显著的更好拟合。我们确认的结果发现拟合的BATSE光谱单独与黑体加幂律。相反,当BATSE GRB光谱与WFC(2- 28 keV)获得的光谱相结合时,在我们细分GRB光变曲线的大多数时间间隔内,这种模型变得不可接受。相反,我们发现,康普顿化模型总是可以接受的,即使在少数情况下,其中带函数是不一致的数据。我们讨论了这些结果的影响。

英文摘要:

We report results of a systematic study of the broad--band (2--2000 keV) time--resolved prompt emission spectra of a sample of Gamma-Ray Bursts (GRBs) detected with both the Wide Field Cameras (WFCs) aboard the BeppoSAX satellite and the BATSE experiment aboard CGRO. The main goal of the paper is to test spectral models of the GRB prompt emission that have recently been proposed. In particular, we test the photospheric model proposed by Ryde and Pe'er (2009), i.e., blackbody plus power--law, the addition of a blackbody emission to the Band function in the cases in which this function does not fit the data, and the Comptonization model developed by Titarchuk et al. (2012). By considering the few spectra for which the simple Band function does not provide a fully acceptable fit to the data (Frontera et al. 2012), only in one case we find a statistically significant better fit by adding a blackbody to this function. We confirm the results found fitting the BATSE spectra alone with a blackbody plus a power law. Instead when the BATSE GRB spectra are joined to those obtained with WFCs (2--28 keV), this model becomes unacceptable in most of time intervals in which we subdivide the GRB light curves. We find instead that the Comptonization model is always acceptable, even in the few cases in which the Band function is inconsistent with the data. We discuss the implications of these results.

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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