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Simple interactive examples for getting started with Finesse 3.

C/C++/Python/Matlab/Octave/Java clients for retrieving data from NDS servers.

This repository contains historic information, but for client 0.15.2 and earlier the SVN is considered canonical.

A Python module for performing Bayesian inference for continuous gravitational-wave signals from pulsars.

Pulsar data analysis tools.

Code to perform optical spectrum analysis using the OMC.

LSC Algorithm Library Suite

Repository for scripts and configurations for automated aLIGO DetChar monitors

Calibration pipeline rewrite in python using the sgn framework.

Perform Bayesian inference with Ψ₄ (Newman-Penrose scalar) data and/or model.

IGWN-specific shared HTCondor configuration

Code to numerically model coating (and substrate) thermal noise numerically. Currently supports computing Brownian coating and substrate thermal noise in amorphsc and crystalline materials.

The client library for the GWDataFind service | https://gwdatafind.readthedocs.io/

Clean version of research-projects, just with ILE

Channel metadata server for the NDS system.

This service is a component of the distributed NDS server. It tracks the history of channels over time. It has facilities to replicate data from other metadata servers and proxy information as well.