263 citations · 3.1k across the 111 of their papers we have counts for
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CausticFlow: An Efficient Machine Learning Framework Combining Neural Differential Equations and Normalizing Flows for Binary Microlensing Parameter Inference
Haibin Ren, Wei Zhu
We introduce CausticFlow, a machine learning framework that combines neural controlled differential equations with normalizing flows to infer binary microlensing parameters. This a…
A differentiable binary microlensing model using adaptive contour integration method
Haibin Ren, Wei Zhu
We present microlux, which is a Jax-based code that can compute the binary microlensing light curve and its derivatives both efficiently and accurately. The key feature of microlux…
ET White Paper: To Find the First Earth 2.0
Jian Ge, Hui Zhang, Weicheng Zang +163
We propose to develop a wide-field and ultra-high-precision photometric survey mission, temporarily named "Earth 2.0 (ET)". This mission is designed to measure, for the first time,…
Spitzer + VLTI-GRAVITY Measure the Lens Mass of a Nearby Microlensing Event
Weicheng Zang, Subo Dong, Andrew Gould +24
We report the lens mass and distance measurements of the nearby microlensing event TCP J05074264+2447555. We measure the microlens parallax vector using Spitzer and gro…
Extracting Microlensing Signals from K2 Campaign 9
Wei Zhu, Chelsea Huang, A. Udalski +10
The reduction of the \emph{K2}'s Campaign 9 (K2C9) microlensing data is challenging mostly because of the very crowded field and the unstable pointing of the spacecraft. In this wo…