An Iterative Reconstruction Algorithm for Faraday Tomography.
Project description
CRAFT: Constraining and Restoring iterative Algorithm for Faraday Tomography
A python 3 implementation of the CRAFT technique described in Cooray et al. 2020. The techniques takes in an observed complex linear polarization spectrum that is limited in frequency to produce a reconstructed spectrum. If you make use of this code, please cite the above mentioned paper.
Installation
Install using pip:
pip install git+https://github.com/suchethac/craft
Or, clone this directory and install locally:
git clone https://github.com/suchethac/craft
cd craft/
pip install .
# - OR -
python setup.py install
Usage
Use as a module by import craft
.
For learning how to use this code, I have uploaded a demo python notebook. Additional documentation will be available in due time.
If you have any questions, please contact Suchetha Cooray at cooray{at}nagoya-u.jp
Reference
Suchetha Cooray, Tsutomu T Takeuchi, Takuya Akahori, Yoshimitsu Miyashita, Shinsuke Ideguchi, Keitaro Takahashi, Kiyotomo Ichiki, An Iterative Reconstruction Algorithm for Faraday Tomography, Monthly Notices of the Royal Astronomical Society, Volume 500, Issue 4, February 2021, Pages 5129–5141, https://doi.org/10.1093/mnras/staa3580
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