GW150914 Signal Search
Optimizes gravitational wave signal detection using AI and the Model Context Protocol.
About
This project offers an AI-powered system for detecting and optimizing gravitational wave signals, specifically for events like GW150914. It leverages the Model Context Protocol (MCP) to establish a client-server architecture, where an AI client intelligently explores complex parameter spaces to refine signal detection, and a server performs the actual gravitational wave analysis. Developed and validated at the AI for Science Hackathon, this system demonstrates how LLM-agents can automate scientific discovery by consistently converging on optimal parameters and successfully identifying real gravitational wave events in LIGO data.
Key Features
- 3 GitHub stars
- AI-powered parameter optimization using OpenAI GPT
- Matched filter search for gravitational wave signals
- Multi-detector network analysis for coherent detection
- 4D parameter space exploration (masses, right ascension, declination)
- Automated convergence detection and progress tracking
Use Cases
- Analyzing specific gravitational wave events like GW150914
- Optimizing signal detection parameters in astrophysics research
- Automating scientific data analysis using AI agents
Sponsored