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arXiv 1303.0286astro-ph.HE
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GRB耀斑:紫外/光学耀斑(论文I)

GRB Flares: UV/Optical Flaring (Paper I)

C. A. Swenson, P. W. A. Roming, M. De Pasquale, S. R. Oates

摘要:

提出了一种新的探测伽马射线暴(GRB)光变曲线中耀斑的算法,并将该算法应用于紫外/可见波段的耀斑探测。该算法利用贝叶斯信息准则(BIC)来分析拟合的光变曲线的残差,去除所有主要特征,并通过迭代地向光变曲线添加额外的“中断”来确定与数据的统计最佳拟合。这些额外的中断表示检测到的耀斑的各个分量:T_start、T_stop和T_peak。我们提出了检测119个独特的耀斑期间检测应用该算法从第二雨燕紫外/光学望远镜(UVOT)伽玛射线暴余辉目录的光变曲线。我们分析了201个UVOT GRB光变曲线,发现其中68个光变曲线中有闪烁现象。对于有耀斑的光变曲线,我们发现每个伽玛暴平均有~2个耀斑。一般来说,耀斑只出现在余辉的前1000秒,但在10^5秒后仍可以观测到。80%以上的耀斑持续时间较短,Δ t/t < 0.5。观测到耀斑的通量比相对于基本的光变曲线在0.04到55.42之间。许多最强烈的耀斑也在爆发后1000秒以上被看到。

英文摘要:

We present a new algorithm for the detection of flares in gamma-ray burst (GRB) light curves and use this algorithm to detect flares in the UV/optical. The algorithm makes use of the Bayesian Information Criterion (BIC) to analyze the residuals of the fitted light curve, removing all major features, and to determine the statistically best fit to the data by iteratively adding additional `breaks' to the light curve. These additional breaks represent the individual components of the detected flares: T_start, T_stop, and T_peak. We present the detection of 119 unique flaring periods detected by applying this algorithm to light curves taken from the Second Swift Ultraviolet/Optical Telescope (UVOT) GRB Afterglow Catalog. We analyzed 201 UVOT GRB light curves and found episodes of flaring in 68 of the light curves. For those light curves with flares, we find an average number of ~2 flares per GRB. Flaring is generally restricted to the first 1000 seconds of the afterglow, but can be observed and detected beyond 10^5 seconds. More than 80% of the flares detected are short in duration with Delta t/t of < 0.5. Flares were observed with flux ratios relative to the underlying light curve of between 0.04 to 55.42. Many of the strongest flares were also seen at greater than 1000 seconds after the burst.

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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