🦝 raccoon

Raccoon cleans the “wiggles” (i.e., low-frequency sinusoidal artifacts) in the JWST-NIRSpec IFS (integral field spectroscopy) data. These wiggles are caused by resampling noise or aliasing artifacts. For a quick start or demonstration, see the example notebook here.

Installation

You can install raccoon using pip. Run the following command:

pip install space-raccoon

Alternatively, you can install the latest development version from GitHub as:

git clone https://github.com/ajshajib/raccoon.git
cd raccoon
pip install .

Features

• Wiggle cleaning: The primary feature of the package is to clean wiggles from JWST-NIRSpec IFS data.

• Visualization: It provides tools to visualize the data before and after wiggle cleaning.

• Documentation: Comprehensive documentation is available to help users understand how to use the package effectively.

• tested: The package includes unit tests to ensure the functionality works as expected.

• User-friendly: The package aims to provide a user-friendly experience, with intuitive interfaces and clear documentation.

Contents

• Contributing
  • Types of Contributions
    • Report Bugs
    • Fix Bugs
    • Implement Features
    • Write Documentation
    • Submit Feedback
  • Get Started!
  • Pull Request Guidelines
  • Tips
  • Deploying
  • Code of Conduct
• Credits
  • Development Lead
  • Contributors
• API reference
  • raccoon package
    • Submodules
    • raccoon.util module
    • raccoon.wiggle_cleaner module
    • Module contents

Feedback

If you have any suggestions or questions about raccoon, feel free to email me at ajshajib@gmail.com.

If you encounter any errors or problems with raccoon, please let me know! Open an issue on the GitHub repository: ajshajib/raccoon.