Modified teukolsky framework for environmentally-coupled black hole ringdown: A physics-informed neural network approach for improved gravitational wave analysis

Key Points

• Enhanced gravitational wave analysis demonstrates improved detection capabilities with neural networks and modified algorithmic frameworks.
• The study indicates a significant increase in accuracy, achieving results with an 85% identification rate during the model testing phase.
• Analysis leveraging the modified teukolsky framework integrates environmental data to refine black hole ringdown signals in gravitational wave observations.
• This approach highlights the need for further validation across diverse astronomical datasets, improving black hole research potential.