论文标题
在扰动图片和行星微透镜的频率镜头近似值上
On the Perturbative Picture and the Chang-Refsdal Lens Approximation for Planetary Microlensing
论文作者
论文摘要
在行星微透明的扰动图片下,该行星被认为是均匀的剪切镜头镜头镜头,上面是宿主恒星产生的两个图像之一,该图像靠近行星的角度爱因斯坦半径,而另一个图像不受影响。但是,这种均匀的剪切近似仅对孤立的行星苛性碱有效,并在共振状态下分解。最近,发现由上述形式主义引起的行星 - 燃烧性堕落性概括到中央和共鸣的苛性遗传学状态,表明过去的扰动图片和chang-refsdal镜头近似可能已经探索了过去。在这里,我引入了一个新的可变剪切式旋转镜头近似值,该镜头不仅支持中央和共振的苛性镜,而且还可以通过分析来计算完整的放大图。此外,我介绍了广义的扰动图片,该图片放松了行星与以前的作品中所需的图像之间所需的距离。具体而言,行星总是与行星本身的镜头平面的同一半散布图像,而另一个图像在很大程度上不受影响。它证明了由于物理对称性的结果,该新框架如何导致偏移变性。广义的扰动图片还指出了一种半体分析求解两体镜头方程的方法。与这项工作相关的分析和半分析微晶实溶液可能可以实质上更快地曲线计算和观察到的事件的建模。提供了Python实施。
Under the perturbative picture of planetary microlensing, the planet is considered to act as a uniform-shear Chang-Refsdal lens on one of the two images produced by the host star that comes close to the angular Einstein radius of the planet, leaving the other image unaffected. However, this uniform-shear approximation is only valid for isolated planetary caustics and breaks down in the resonant regime. Recently, the planetary-caustic degeneracy arising from the above formalism is found to generalize to the regime of central and resonant caustics, indicating that the perturbative picture and Chang-Refsdal lens approximation may have been under-explored in the past. Here, I introduce a new variable-shear Chang-Refsdal lens approximation, which not only supports central and resonant caustics, but also enables full magnification maps to be calculated analytically. Moreover, I introduce the generalized perturbative picture, which relaxes the required proximity between the planet and the image being perturbed in the previous work. Specifically, the planet always perturbs the image in the same half of the lens plane as the planet itself, leaving the other image largely unaffected. It is demonstrated how this new framework results in the offset degeneracy as a consequence of physical symmetry. The generalized perturbative picture also points to an approach to solve the two-body lens equation semi-analytically. The analytic and semi-analytic microlensing solutions associated with this work may allow for substantially faster light-curve calculations and modeling of observed events. A python implementation is provided.