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GW150914 Signal Search

Optimizes gravitational wave signal detection using AI and the Model Context Protocol.

关于

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.

主要功能

  • 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

使用案例

  • Analyzing specific gravitational wave events like GW150914
  • Optimizing signal detection parameters in astrophysics research
  • Automating scientific data analysis using AI agents
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