用BAGLE Python包建模二元透镜和源
Modeling Binary Lenses and Sources with the BAGLE Python Package
AI总结：
本文介绍了BAGLE软件包中用于引力透镜分析的二元源和透镜模型，支持开普勒轨道和低偏心率轨道的参数化，用于联合拟合光度和天体测量数据。
摘要：
引力微透镜是一种强大的工具，可用于发现和测量孤立和暗致密天体的质量。在许多微透镜事件中，透镜、源或两者可能是双星系统。本文介绍了将二元源和透镜模型引入BAGLE Python软件包中的引力透镜正式化中。这些新的BAGLE二元模型考虑了开普勒轨道。我们还添加了具有较少参数的二元模型，描述二元轨道运动为加速度、线性或静止运动，这些在轨道偏心率非常低或轨道周期远大于微透镜时间尺度时很有用。这些二元透镜方程的参数化使光度和天体测量数据集的联合拟合成为可能。这些二元模型将用于拟合来自维拉·C·鲁宾天文台、南希·格蕾丝·罗马望远镜和其他巡天的微透镜事件数据。
英文摘要：
Gravitational microlensing is a powerful tool that can be used to find and measure the mass of isolated and dark compact objects. In many microlensing events, the lens, the source, or both may be a binary system. In this work, we introduce binary source and lens models into the gravitational lensing formalism encoded in the Bayesian Analysis of Gravitational Lensing Events (BAGLE) Python software package. These new binary models in BAGLE account for Keplerian orbits. We also add binary models with fewer parameters that describe the binary orbital motion as acceleration, linear, or stationary motion of the secondary companion; these are useful when the orbit has a very low eccentricity or the orbital period is much longer than the microlensing timescale. The model parameterizations based on these binary lensing equations enable joint-fitting of photometric and astrometric datasets. These binary models will be used to fit microlensing event data from the Vera C. Rubin Observatory, the Nancy Grace Roman Telescope, and other surveys.
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