Here are
130 public repositories
matching this topic...
Package for analysing and characterising gravitational wave data in python
Updated
Sep 2, 2022
Python
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.
Updated
Sep 6, 2022
Python
Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.
Updated
Jul 6, 2022
Jupyter Notebook
Make gravitational waves visible in an interactive iPad simulation.
Updated
Jun 6, 2018
Swift
An interactive demonstration of matched filtering with some examples using real LIGO data and your computer's audio.
Updated
Oct 19, 2021
Jupyter Notebook
Package for making predictions about stellar-origin sources in space-based gravitational wave detectors
Updated
Aug 4, 2022
Python
Mirror of Official GWOSC Client project
Updated
Aug 25, 2022
Python
a python package for gravitational wave analysis with the F-statistic
Updated
Sep 6, 2022
Python
A code for simulating gravitational waves and evaluating their detectability.
Updated
Jun 23, 2021
Python
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.
Updated
Jul 6, 2021
Python
Updated
Aug 20, 2022
Python
Astrostatistics class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
Updated
Sep 1, 2022
Jupyter Notebook
Surrogate Final BH properties
Updated
Aug 29, 2022
Python
Repository for the PyCBC Inference workshop in Portsmouth, UK, 14 May - 16 May 2019.
Updated
Jun 2, 2020
Jupyter Notebook
A python package for Bayesian inference of gravitational-wave data
Updated
Sep 26, 2018
Python
Investigating the noise residuals around the gravitational wave event GW150914
Updated
Apr 11, 2019
Jupyter Notebook
Gravitational-wave interferometer summary information system
Updated
Aug 23, 2022
Python
A Machine Learning model for generating gravitational waves
Updated
Jun 9, 2021
Jupyter Notebook
A survey on gravitational waves researches using machine learning techniques.
First Open Gravitational-wave Catalog of Compact Binary Mergers from Advanced LIGO's first observing run.
Updated
Dec 17, 2019
Shell
Improve this page
Add a description, image, and links to the
gravitational-waves
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
gravitational-waves
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.