GWeasy

GWeasy is a user-friendly, GUI-based software for fetching, analyzing, and visualizing gravitational wave (GW) data from LIGO and other observatories. It simplifies the setup and execution of GW analysis pipelines like OMICRON, making gravitational wave science accessible to researchers with minimal technical setup.

Overview

GWeasy integrates tools for:

• Data Fetching: Retrieve GW data from LIGO databases (Gravfetch tab).
• Analysis: Run OMICRON and other pipelines with configurable settings.
• Visualization: Display results graphically.
• Ease of Use: One-click installation and intuitive GUI for Windows and Linux.

For detailed documentation and usage instructions, visit: https://shantanu-parmar.github.io/GWeasy/

Features

• Multi-Platform Support: Windows, Linux (Beta), MacOS (Planned).
• Minimal Setup: Pre-built executables for Windows (via WSL) and Linux, or script-based setup.
• User-Friendly GUI: Select channels, time segments, and configure pipelines easily.
• Pipeline Integration: Supports OMICRON with plans for additional pipelines (e.g., cWB).
• Visualization Tools: Built-in plotting for GW data analysis.

Installation

Option 1: Pre-Built Executables

• Windows:

  1. Download Omeasy.exefrom the Gweasy website GWeasy. ->That's it..... If you want to run Omicron also, follow steps 2 onwards
  2. Download GWeasywsl.tar and 'install.bat' from Gweasy website GWeasy.
  3. Place install.bat and GWeasywsl.tar in a same directory.
  4. Double-click install.bat to set up WSL and OMICRON.
  5. Run Omeasy.exe for OMICRON analysis.

• Linux:

  1. Download GWeasy from the Releases page.
  2. Make executable: chmod +x GWeasy
  3. Run: ./GWeasy

Option 2: Script-Based Setup

For running gweasy.py directly or building from source:

1. Install Miniconda:

   • Download Miniconda from https://docs.conda.io/en/latest/miniconda.html.

2. Create Environment:

   • Place environment.yml and requirements.txt (below) in the same directory as gweasy.py from this repository (you dont need to get any other files).
   • Run:

     conda env create -f environment.yml
     conda activate GWeasy
     pip install -r requirements.txt
     

3. Run GWeasy:

   python gweasy.py
   

environment.yml

For windows

name: GWeasy
channels:
  - conda-forge
  - defaults
dependencies:
  - python=3.10
  - python-nds2-client
  - python-framel

For Linux/Mac

name: GWeasy
channels:
  - conda-forge
  - defaults
dependencies:
  - python=3.10
  - python-nds2-client
  - lalframe

requirements.txt

pandas
gwpy
PyQt5
requests-pelican

Usage

1. Gravfetch Tab:

   • Select test-times.csv for time segments and test-chans.csv for channels from this repository /tests.
   • Set output directory (default: gwfout).
   • Click "Download Data" to fetch .gwf files.
   • Expect 5-7 minutes per channel/segment.

2. Omicron Tab:

   • Select a channel from gwfout or enter manually.
   • Click on Custom segs and choose all time segments you would like.
   • Configure parameters (e.g., sampling rate, frequency range).
   • Click "Save Config" to generate a config file.
   • Click "Start Omicron" to run analysis.

For detailed steps and screenshots, refer to: https://shantanu-parmar.github.io/GWeasy/

Contributing

1. Fork the repository: git clone https://github.com/shantanu-parmar/GWeasy.git
2. Create a branch: git checkout -b feature-branch
3. Make changes and commit: git commit -m "Add feature"
4. Push and create a pull request: git push origin feature-branch
5. Report issues on the GitHub Issues page.

License

This project is licensed under the MIT License.

Acknowledgments

• Lead Developer: Shantanusinh Parmar
• Mentors: Dr. Marco Cavaglia, Dr. Florent Robinet, Dr. Jonah Kanner, Mr. Kai Staats,
• Testing: Mr. Federico Romeo
• Thanks: LIGO team and GW astrophysics community

Join the GWeasy Project – Simplifying Gravitational Wave Analysis for All!