Machine Learning Method Proposed to Enhance Gravitational Lens Modeling in X-ray Astronomy

A new preprint details a machine learning method designed to accelerate parameter inference in strongly lensed systems. This approach aims to improve the accuracy of surface mass density models for quasars in X-ray astronomy. Such advancements are crucial for probing cosmology and understanding dark matter substructure, offering new tools for astronomical research.