类星体变率的量化作为分类连续变化源的一般方法的一部分
Quantifying Quasar Variability As Part of a General Approach To Classifying Continuously Varying Sources
摘要：
在大型巡天观测中，对可变光变曲线进行快速分类的鲁棒方法变得越来越重要。虽然识别常见的周期性恒星和特定的瞬态事件（超新星、新星、微透镜）相对简单，但对于非周期性连续变化的源（类星体、非周期性恒星变化）却没有等效的方法。在本文中，我们提出了一种快速的方法来建模和分类这样的源。我们使用来自LMC OGLE-II调查的约86，000个变量源以及来自LMC和SMC OGLE-III调查的约2，700个中红外选定类星体候选者来演示该方法。我们讨论了常见的变异类在模型的参数空间中的位置。特别是，我们表明，类星体占据了一个独特的区域的变化空间，提供了一个简单的定量方法来选择类星体的变化。
英文摘要：
Robust fast methods to classify variable light curves in large sky surveys are becoming increasingly important. While it is relatively straightforward to identify common periodic stars and particular transient events (supernovae, novae, microlensing), there is no equivalent for non-periodic continuously varying sources (quasars, aperiodic stellar variability). In this paper we present a fast method for modeling and classifying such sources. We demonstrate the method using ~ 86,000 variable sources from the OGLE-II survey of the LMC and ~ 2,700 mid-IR selected quasar candidates from the OGLE-III survey of the LMC and SMC. We discuss the location of common variability classes in the parameter space of the model. In particular we show that quasars occupy a distinct region of variability space, providing a simple quantitative approach to the variability selection of quasars.
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