MAGIC: Microlensing Analysis Guided by Intelligent Computation. (arXiv:2206.08199v2 [astro-ph.IM] UPDATED)

The modeling of binary microlensing light curves via the standard
sampling-based method can be challenging, because of the time-consuming
light-curve computation and the pathological likelihood landscape in the
high-dimensional parameter space. In this work, we present MAGIC, which is a
machine-learning framework to efficiently and accurately infer the microlensing
parameters of binary events with realistic data quality. In MAGIC, binary
microlensing parameters are divided into two groups and inferred separately
with different neural networks. The key feature of MAGIC is …

analysis arxiv astro computation intelligent