SLDTk is a commandline program for fast and robust modelling and correction of limb darkening in solar images.
Getting Started
Prerequisites
SLDTk is written for Python 3. The following packages are required:
numpy>=1
opencv-python>=3
matplotlib>=2
Note that in addition to opencv-python, the underlying OpenCV library must be installed. There are currently plans to include an optional dependency on scikit-image for systems without OpenCV.
Installation
SLDTk can be installed using pip:
$ sudo pip install sldtkUsage
$ sldtk -i IMAGE [optional arguments]The program takes a range of optional arguments for everything from detection threshold to output directory. A complete list can be seen by calling
$ sldtk -hFeatures
For now, the codebase provides the best source of information on SLDTk’s features and implementation specific details, as auto-generation of documentation has not yet been set up.
Input Formats
Currently only images in the jpg and png formats are supported.
Detection
The position and size of the solar disk is automatically determined using computer vision. The disk is subsequently unwrapped and cleaned of outliers (e.g. sunspots and facula) before an average intensity profile is generated.
Modelling
A pluggable modelling system allows user specified models (e.g. a 2nd degree polynomial) to be fitted to the intensity profile of the solar disk, and the results to be plotted together with the original profile for visual analysis. Reference models with known coefficients can also be overlaid on the produced graph.
Correction
Using a fitted model, the solar disk is flat-field corrected to a user selectable bias point. The result can further be fed back into the pipeline to assess its flatness, with a linear model fitted and plotted together with the corrected intensity profile.
Contributing
Do you have an idea for how to make SLDTk better? Have you found a bug? Head over to the issue tracker to open a new issue or contribute to an existing discussion.
If you are interested in contributing to the codebase, fork SLDTk on GitHub to get started. You can install the project in development mode by using $ sudo pip install -e . from the cloned project root.
Have you found a solution to an existing issue or added a new feature? Pull requests are always welcome.
License
SLDTk is released under the MIT open source license. Please see LICENSE.txt for details.
Acknowledgments
The Solar Limb Darkening Toolkit began as an experimental physics project together with Matt Wingham and Sam Heron at Aberystwyth University in the fall of 2017. It is written and maintained by Ariel Ladegaard.
1 maintainer
Metadata
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Release files for sldtk 0.1.0
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