论文标题
LSST的Quasar微透镜光曲线发生器
A Quasar Microlensing Light Curve Generator for LSST
论文作者
论文摘要
我们提出了一种工具来生成模拟的准化合物微透镜曲线,并根据任何观察策略进行采样。使用观察者,镜头和源的固定和随机速度成分的更新处理,并适当地对齐,并定义放大倍图的外部剪切。我们的工具对高放大事件和苛性菜交叉产生定量结果,我们用来研究三个已知显示微透镜的镜头的类星体,即。 RX J1131-1231,HE 0230-2130和Q 2237+0305,因为它们将由Rubin Observatory时空遗产调查(LSST)对其进行监视。我们得出的结论是,取决于天空的位置,镜头和源红移以及苛性网络密度,微透明的可变性可能显着偏离预期的$ \ sim $ \ sim $ 20年的平均时间尺度(Mosquera&Kochanek 2011,Arxiv,Arxiv:1104.2356)。我们估计,$ \ sim300 $高放大事件具有$δ$ mag $> 1 $ mag,每年可能会观察到LSST。大多数高放大事件的持续时间为10到100天,需要很高的节奏来捕获和解决它们。统一的LSST观察策略在恢复微透镜高放大事件方面表现最好。我们的Web工具可以扩展到任何仪器和观察策略,并可以在http://gerlumph.swin.edu.au/tools/lsst_generator/以及所有相关代码以及所有相关代码上免费提供。
We present a tool to generate mock quasar microlensing light curves and sample them according to any observing strategy. An updated treatment of the fixed and random velocity components of observer, lens, and source is used, together with a proper alignment with the external shear defining the magnification map caustic orientation. Our tool produces quantitative results on high magnification events and caustic crossings, which we use to study three lensed quasars known to display microlensing, viz. RX J1131-1231, HE 0230-2130, and Q 2237+0305, as they would be monitored by The Rubin Observatory Legacy Survey of Space and Time (LSST). We conclude that depending on the location on the sky, the lens and source redshift, and the caustic network density, the microlensing variability may deviate significantly than the expected $\sim$20-year average time scale (Mosquera & Kochanek 2011, arXiv:1104.2356). We estimate that $\sim300$ high magnification events with $Δ$mag$>1$ mag could potentially be observed by LSST each year. The duration of the majority of high magnification events is between 10 and 100 days, requiring a very high cadence to capture and resolve them. Uniform LSST observing strategies perform the best in recovering microlensing high magnification events. Our web tool can be extended to any instrument and observing strategy, and is freely available as a service at http://gerlumph.swin.edu.au/tools/lsst_generator/, along with all the related code.