# GW150914 Signal Search

> Use this tool when you need to detect gravitational wave signals in LIGO-Virgo data, solving problems of signal identification and parameter optimization in astrophysics research and education. It takes in gravitational wave data and outputs detected signals with optimized parameters, using inputs such as sky localization and template generation. Use it for analyzing GW150914 events and other gravitational wave data, supporting multi-detector network analysis and AI-assisted workflows.

Canonical page: https://skillsregistry.net/skills/iphysresearch-gw150914-signal-search  
JSON: https://api.skillsregistry.net/v1/skills/iphysresearch-gw150914-signal-search

## Description

This gravitational wave signal detection MCP server provides AI assistants with complete access to LIGO-Virgo gravitational wave data analysis through PyCBC and GWpy integration. Built by He Wang for the GW150914 event analysis, it implements a full matched filtering pipeline including data fetching from GWOSC, preprocessing with high-pass filtering, template generation with sky localization parameters, network SNR calculation across multiple detectors, and visualization capabilities. The implementation features an optimization client that uses OpenAI models to iteratively search the 4D parameter space (mass1, mass2, right ascension, declination) to maximize detection SNR, with convergence monitoring and result persistence. It supports multi-detector network analysis for LIGO Hanford, LIGO Livingston, and Virgo detectors, making it useful for gravitational wave researchers, students learning GW data analysis, and AI-assisted parameter optimization workflows in astrophysics.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/iphysresearch-gw150914-signal-search)
- **Repository:** <https://github.com/iphysresearch/gw150914-mcp-signal-search>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "iphysresearch-gw150914-signal-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/iphysresearch-gw150914-signal-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/iphysresearch-gw150914-signal-search/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt