光顺曲线的CCF光谱滞后
Spectral Lags Obtained by CCF of Smoothed Lightcurves
摘要：
提出了一种计算伽马射线暴（GRB）谱滞后的新方法。与以往的处理方法不同，我们首先使用“黄土”滤波器平滑的伽马射线暴在高，低能量波段的光变曲线，然后，我们直接定义的光谱滞后，使最大化的交叉关联函数（CCF）之间的两个平滑的光变曲线。该方法适用于各种形状的CCF，有效地避免了人工选择拟合函数和拟合区间所带来的误差。利用该方法，我们仔细测量了BAT/Swift伽马射线暴中已知红移的单个脉冲的光谱滞后，证实了光谱滞后与各向同性光度之间的反相关性。光谱滞后的分布可以很好地拟合四个高斯分量，质心分别在0.03 s，0.09 s，0.15 s和0.21 s。我们发现多峰伽玛暴的某些光谱滞后似乎随时间演化。
英文摘要：
We present a new technique to calculate the spectral lags of gamma-ray bursts (GRBs). Unlike previous processing methods, we first smooth the light curves of gamma-ray bursts in high and low energy bands using the "Loess" filter, then, we directly define the spectral lags as such to maximize the cross-correlation function (CCF) between two smoothed light curves. This method is suitable for various shapes of CCF; it effectively avoids the errors caused by manual selections for the fitting function and fitting interval. Using the method, we have carefully measured the spectral lags of individual pulses contained in BAT/Swift gamma-ray bursts with known redshifts, and confirmed the anti-correlation between the spectral lag and the isotropy luminosity. The distribution of spectral lags can be well fitted by four Gaussian components, with the centroids at 0.03 s, 0.09 s, 0.15 s, and 0.21 s, respectively. We find that some spectral lags of the multi-peak GRBs seem to evolve with time.
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