Processing polarized RACS data products.
Spectra and Polarization In Cutouts of Extragalactic Sources from RACS
Scripts for processing polarized RACS data products.
pip install spiceracs
Or, after cloning this repo, please run:
cd SPICERACS/ pip install -e .
This will install the python dependencies and the command-line scrips. Please note: this package requires
python >= 3.6.
Additionally, this package also requires
java >= 8, and
mongodb to be installed. Details on how to install these can be found at their respective websites:
If you wish to use MPI for parallelisation, please also make sure some implementation (such as OpenMPI) is also installed. If MPI is not available, then python multiprocessing can be used. Please note that multiprocessing is not capable of going across nodes in an HPC environment.
It is recommended to use the command-line tools. Alternatively, scripts for processing RACS data are located in
Bash scripts which run everything together on PBS or SBATCH systems are located in
To keep track of the many files, and associated metadata, these scripts use MongoDB. Additionally, the scripts are intended to be run in order (pipeline-style).
Currently, the order to run each script is:
mongod --dbpath /path/to/database/ &-- This initialises MongoDB in a directory of your choosing.
spiceracs/cutout.py-- Produce cubelets from a RACS field using a Selavy table.
- The datacubes can be removed from disk, if required.
spiceracs/unresolved.py-- Find unresolved sources from a Selavy catalogue. 4.
spiceracs/moments_oncuts.py-- Make Faraday moment maps for Farnes+ (2018) method. 5.
spiceracs/polfind.py-- Find polarized sources in a RACS field using the Farnes+ (2018) method.
spiceracs/rmsynth_oncuts.py-- Run RM synthesis on cutouts.
spiceracs/rmclean_oncuts.py-- Run RM-CLEAN on cutouts.
spiceracs/makecat.py-- Make RM catalogue from results.
This package utilises a number of third-party libraries. Please acknowledge these, as appropriate, if you use these tools for your research.
List of third party libraries:
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
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