AI Boosts Gravitational Wave Detection: Deep Loop Shaping Breakthrough

Scientists have used a deep learning technique called Deep Loop Shaping to significantly improve the control precision of the Laser Interferometer Gravitational-Wave Observatory (LIGO), reducing noise by up to 100 times. This technology, using reinforcement learning, optimizes LIGO's feedback control system, enabling it to measure gravitational waves more stably. This helps astronomers delve deeper into the dynamics and formation of the universe, such as detecting more intermediate-mass black holes and studying neutron star collisions in greater detail. This breakthrough is expected to influence the design of future gravitational wave observatories and further expand our understanding of the cosmos.