GW150914 MCP Signal Search: AI-Powered Gravitational Wave Detection

🌊 Overview

AI-powered gravitational wave detection system using Model Context Protocol (MCP) for analyzing the historic GW150914 event. Developed at AI for Science Hackathon (Beijing), combining LLM-agent intelligence with matched filtering techniques for efficient parameter space exploration.

🚀 Key Features

• MCP Architecture: GW Analysis Server + Optimization Client with OpenAI GPT integration
• 4D Parameter Optimization: Intelligent exploration of mass1, mass2, RA, and declination
• Multi-detector Analysis: Coherent H1/L1 LIGO detector processing
• Automated Pipeline: End-to-end detection with convergence detection
• Real-time Results: Live visualization and optimization tracking

🔬 Technical Details

GW150914 Event

• Date: September 14, 2015 (GPS 1126259462.427)
• Source: Binary black hole merger (~36 + 29 solar masses)
• Achievement: Peak network SNR ~19.6 (theoretical ~24)

System Components

• Server: mcp-server/gw_analysis_server.py - MCP-based analysis tools
• Client: mcp-client/gw_optimization_client.py - AI parameter optimization
• Data: Real LIGO strain data (H1/L1, 32s, 4096 Hz sampling)

📈 Results & Performance

The system demonstrates exceptional performance across multiple metrics:

• Detection Accuracy: Successfully achieves peak network SNR of 19.6