混响映射光谱内定标的一种新方法
A New Approach to the Internal Calibration of Reverberation Mapping Spectra
摘要：
我们提出了一个新的程序的内部（夜间到夜间）校准的时间序列光谱，具体应用光学活动星系核混响映射数据。传统的校准技术假设窄的[OIII] $λ$ 5007发射线轮廓在时间上是恒定的;给定参考[OIII] $λ$ 5007线轮廓，通过拟合波长偏移、通量重新缩放因子和光谱分辨率的变化来对准夜间光谱。我们建议对该程序进行以下修改：1）我们规定最终校准光谱的恒定光谱分辨率，2）我们采用更灵活的光谱分辨率变化模型，以及3）我们使用贝叶斯建模框架来评估校准中的不确定性。在使用MCG+08-11-011数据的测试用例中，这些修改导致$\sim\! 1$毫量级的校准精度，这与传统技术相比大约提高了5倍。在这一级，其他系统性问题（例如，夜间灵敏度函数和FeII污染）限制了所观察到的光变曲线的最终精度。我们将此过程作为{ \tt python}包（{ \tt mapspec}）实现，并将其提供给社区。
英文摘要：
We present a new procedure for the internal (night-to-night) calibration of time series spectra, with specific applications to optical AGN reverberation mapping data. The traditional calibration technique assumes that the narrow [OIII]$λ$5007 emission line profile is constant in time; given a reference [OIII]$λ$5007 line profile, nightly spectra are aligned by fitting for a wavelength shift, a flux rescaling factor, and a change in the spectroscopic resolution. We propose the following modifications to this procedure: 1) we stipulate a constant spectral resolution for the final calibrated spectra, 2) we employ a more flexible model for changes in the spectral resolution, and 3) we use a Bayesian modeling framework to assess uncertainties in the calibration. In a test case using data for MCG+08-11-011, these modifications result in a calibration precision of $\sim\! 1$ millimagnitude, which is approximately a factor of five improvement over the traditional technique. At this level, other systematic issues (e.g., the nightly sensitivity functions and FeII contamination) limit the final precision of the observed light curves. We implement this procedure as a {\tt python} package ({\tt mapspec}), which we make available to the community.
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