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Solar imaging pipeline for solar interference mitigation in MeerKAT data.

Project description

SolarKAT Logo

Welcome to SolarKAT 🚀

SolarKAT is a solar imaging pipeline developed to mitigate solar interference in MeerKAT data and recover the visibilities rather than discarding them.

Radio frequency interference is a growing problem in radio astronomy, especially for new-generation telescopes such as MeerKAT. Its wide field of view and high sensitivity make the MeerKAT telescope capable of capturing the Sun even when looking far away from it. This ability facilitates contamination from the out-of-field Sun, causing, in some conditions, data corruption.

Installation

Git clone

You can have access to SolarKAT by cloning it from the repository to your local computer. To Run SolarKAT, you must first install Stimela (the framework on which SolarKAT is based). Stimela is installed in a virtual environment. In addition to stimela install cult-cargo. Both should be in the master branch.

Create and activate a virtual environment

python3.9 -m venv solarkat-env
source solarkat-env/bin/activate

then install stimela and cult-cargo inside the virtualenv

pip install stimela
pip install cult-cargo

and clone the solarkat repository

git clone https://github.com/ratt-ru/solarkat.git

Installation using pip

If you want to use SolarKAT as a Python package in your own recipe, it can be installed using pip (the updated version is solarkat==1.0.4):

pip install solarkat

Running SolarKAT

You can execute stimela by running the command:

stimela run recipe.yml [recipe_name] obs=obs

Example:

stimela run solarkat.yaml solarkat obs=L1

More details can be found in the Documentation here https://solarkat-docs.readthedocs.io/en/latest/index.html.

Running solarkat on Ilifu

You can run solarkat on Ilifu by setting backend to slurm. You can also set the srun_opts such as time and mem (memory to use). For these values, there's no default value.

   backend:
      slurm:
        enable: true
        srun_opts:
          time: 1-12
          mem: 200GB
          cpus-per-task: 1

Citing this Pipeline

We kindly request that any work using this pipeline cites the following reference:

@article{samboco2024solarkat,
    author = {Samboco, Victória G. and  Heywood, Ian and Smirnov, Oleg},
    title = {SolarKAT: A Solar Imaging Pipeline for MeerKAT},
    journal = {Astrophysics Source Code Library},
    pages={ascl:2401.013},
    month={January},
    year = {2024}
    }

Thank you for considering our request.

Note

This package is in public Beta stage. SolarKAT is feature-complete, has undergone testing on multiple datasets, and is suitable for broader use. While efforts have been made to ensure stability, there may still be some undiscovered issues. Users are encouraged to use it, provide feedback, and report any issues on the project's GitHub page (https://github.com/ratt-ru/solarkat).

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