RTModel:微透镜事件实时建模和大规模分析平台

V. Bozza
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摘要

银河系中恒星的微透镜现象长期以来一直被用来探测和描述恒星群、系外行星、褐矮星、恒星残余物以及其他所有可能通过引力场放大源恒星的天体。对于单透镜和单源来说,解释微透镜光变曲线相对简单,但当我们添加更多的天体并考虑到它们的相对运动时,解释就变得越来越复杂。RTModel 是一个建模平台,在微透镜事件的实时研究中一直非常活跃,它提供的初步模型已被证明对推动后续资源用于最有趣的事件非常有用。RTModel 的成功源于它能够在相对较短的时间内对参数空间进行全面而集中的探索。这一建模过程基于三个关键理念。首先,从模板库中选择初始条件,包括所有可能的苛性交叉和方法。然后,使用 Levenberg-Marquardt 算法进行拟合,并增加了探索多个最小值的缓冲机制。最后,微透镜放大率的基本计算由快速而强大的 VBBinaryLensing 软件包完成。在本文中,我们详细说明了 RTModel 的所有算法,目的是为未来旨在进行大规模微透镜分析的微透镜管道提供新的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RTModel : Platform for real-time modeling and massive analyses of microlensing events
The microlensing of stars in our Galaxy has long been used to detect and characterize stellar populations, exoplanets, brown dwarfs, stellar remnants, and all other objects that may magnify the source stars with their gravitational fields. The interpretation of microlensing light curves is relatively simple for single lenses and single sources, but it becomes more and more complicated when we add more objects and take their relative motions into account. RTModel is a modeling platform that has been very active in the real-time investigations of microlensing events, providing preliminary models that have proven very useful for driving follow-up resources towards the most interesting events. The success of RTModel comes from its ability to carry out a thorough and focused exploration of the parameter space in a relatively short time. This modeling process is based on three key ideas. First, the initial conditions are chosen from a template library including all possible caustic crossing and approaches. The fits are then made using the Levenberg-Marquardt algorithm with the addition of a bumper mechanism to explore multiple minima. Finally, the basic computations of microlensing magnification are performed by the fast and robust VBBinaryLensing package. In this paper, we illustrate all the algorithms of RTModel in detail with the intention to foster new approaches in view of future microlensing pipelines aimed at massive microlensing analyses.
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