[ETworkshop2024] (https://agenda.infn.it/event/38405/) February 20-23th in Assisi
- Author: Elena Cuoco
- Contact: elena.cuoco@ego-gw.it
This repository contains notebook and scripts for analyzing the Mock Data Challenge 1 for the Einstein Telescope. The Einstein Telescope is a proposed third-generation gravitational-wave observatory that aims to significantly advance our understanding of the universe through the observation of gravitational waves.
The Mock Data Challenge involves simulating gravitational-wave signals and testing the capability of data analysis algorithms to detect and characterize these signals in the presence of noise.
- https://gitlab.et-gw.eu/osb/div10/mdc-tutorial
- https://github.com/gw-odw/odw-2022/tree/main
- https://wdfpipe.gitlab.io/
- https://gwpy.github.io/docs/stable/
- https://pycbc.org/
- https://github.com/OverLordGoldDragon/ssqueezepy
- How to read and plot the data
- How to preprocess the signals
- How to whiten the data in frequency and time-domain
- How to map signals in Time-Frequency domain
- How to apply the matched filter
-
caches: This directory contains the pointer to mock data generated for the challenge and the ffl file.
-
notebooks: The main codebase for the analysis is located in this directory. It includes scripts for detecting and characterizing gravitational-wave signals.
-
metadata: It containd the list of injected signals
- Connect to https://jhub-vre.cern.ch/
- Use your ESCAPE AAI to connect
- Load the WDF-Virgo environment
- Clone this repository
If you would like to contribute to the development of this analysis code, please follow the guidelines outlined in CONTRIBUTING.md.
This project is licensed under the MIT License.
The ESCAPE VRE (https://vre-hub.github.io/) team and Enrique Garcia enrique.garcia at cern.ch for his valuable support