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.
Release files for space-raccoon 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| space_raccoon-1.0.0.tar.gz | 37.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| space_raccoon-1.0.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 57.4 kB
Release files / space_raccoon-1.0.0.tar.gz
| Download URL | space_raccoon-1.0.0.tar.gz |
|---|---|
| Size | 37.6 kB |
| Tags | Source |
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Release files / space_raccoon-1.0.0-py2.py3-none-any.whl
| Download URL | space_raccoon-1.0.0-py2.py3-none-any.whl |
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| Size | 19.8 kB |
| Tags | Python 2 Python 3 |
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