TNAgen

Introduction

TNAgen is a python package that allows users to generate transient noise artifacts in gravitational-wave detector data using a GAN model. The package is based on the paper "Generating Transient Noise Artefacts in Gravitational-Wave Detector Data with Generative Adversarial Networks" by Powell et. al. It uses the torchGAN library to implement the GAN model and provides a user-friendly interface for generating noise artifacts for specific glitches.

Table of contents

• Installation
• Documentation
• Contributors

Installation

To install environment

$ conda env create --name myenv --file=requirements.yml
$ conda activate myenv

To install:

$ pip install TNAgen

$ pip install -i https://pypi.anaconda.org/sstaite/simple tnagen

From Source:

$ git clone https://github.com/sStaite/TNAgen
$ cd TNAgen
$ python setup.py install

Documentation

Documentation can be found at https://tnagen.readthedocs.io/

Contributors

Seamus Staite, Jade Powell