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Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.
This will be the first official public release of the VItamin code base. VItamin is a python package for producing fast gravitational wave posterior samples.
Official implementation of "Automated Algorithmic Discovery for Gravitational-Wave Detection Guided by LLM-Informed Evolutionary Monte Carlo Tree Search" (arXiv:2508.03661).
Third Open Gravitational-wave Catalog of Compact Binary Mergers. Using the data from LIGO and Virgo from 2015-2019, a comprehensive catalog including 57 detected mergers (55 BBH, 2 BNS) and sub-threshold candidates throughout O1, O2, and O3a.
🌊 GW150914 MCP Signal Search: AI-powered gravitational wave detection using Model Context Protocol (MCP). Features optimization client, analysis server, and automated parameter exploration for LIGO data.
Generate synthetic observational datasets from quantum-geometry signatures for LIGO, EHT, and gravitational wave detectors with realistic noise models and instrument specifications
Purpose: Analyze gravitational-wave data, find signals, and study their parameters. The program pulls strain data from the two LIGO detectors for 100% quality data files for the S6 data release. This program differs from LIGO's in that it searches for matching wave characteristics between detectors rather than filtering data with known wavelengt…