Gravitational Lens

Gravitational lensing, the bending of light by massive objects, is a powerful tool for studying cosmology and astrophysics. Current research focuses on improving the accuracy and efficiency of lens identification and parameter estimation using machine learning techniques, particularly convolutional neural networks (CNNs) and vision transformers (ViTs), to analyze large datasets from upcoming surveys. These advancements aim to refine measurements of dark matter distribution, dark energy properties, and the Hubble constant, ultimately enhancing our understanding of the universe's structure and evolution. Furthermore, novel methods are being developed to reconstruct three-dimensional emission fields around black holes using gravitational lensing data.