LIGO

Evo-MCTS: Evolutionary Monte Carlo Tree Search for Gravitational Wave Detection

🧬 Revolutionary LLM-guided framework for automated algorithmic discovery in gravitational wave detection. Combines evolutionary optimization with Monte Carlo Tree Search to systematically explore algorithm spaces and achieve 20.2% improvement over state-of-the-art methods on MLGWSC-1 benchmark.

GW150914 MCP Signal Search: AI-Powered Gravitational Wave Detection

🌊 AI-powered gravitational wave detection system using Model Context Protocol (MCP) for efficient parameter space exploration. Features optimization client, analysis server, and automated parameter exploration for LIGO GW150914 data with LLM-agent validation.

Search for exotic gravitational wave signals beyond general relativity using deep learning

The direct detection of gravitational waves by LIGO has confirmed general relativity (GR) and sparked rapid growth in gravitational wave (GW) astronomy. However, subtle post-Newtonian (PN) deviations observed during the analysis of high …

Detector Characterization and Mitigation of Noise in Ground-Based Gravitational-Wave Interferometers

Since the early stages of operation of ground-based gravitational-wave interferometers, careful monitoring of these detectors has been an important component of their successful operation and observations. Characterization of gravitational-wave …

Interactive GW simulation in JavaScript for NSs or BBHs

An interactive gravitational wave simulation ([LIGO-G2001983-v3](https://dcc.ligo.org/LIGO-G2001983)) in JavaScript created by [Graham Woan](https://dcc.ligo.org/cgi-bin/private/DocDB/ListBy?authorid=234), suitable for talks etc on spinning NSs and BBHs.

累积引力波事件率图的 python 实现

Python Script to plot cumulative GW Events until the end of O3a and Public Alerts in O3b