Research Object Crate for HI-FRIENDS HI data cube source finding and characterization

This repository contains the workflow used to find and characterize the HI sources in the data cube of the SKA Data Challenge 2. It was developed to process a simulated [SKA data cube](https://sdc2.astronomers.skatelescope.org/sdc2-challenge/data) data cube, but can be adapted for clean HI data cubes from other radio observatories. The workflow is managed and executed using snakemake workflow management system. It uses [https://spectral-cube.readthedocs.io/en/latest/](http://) based on [https://dask.org/](http://) parallelization tool and [https://www.astropy.org/](http://) suite to divide the large cube in smaller pieces. On each of the subcubes, we execute [https://github.com/SoFiA-Admin/SoFiA-2](http://) for masking the subcubes, find sources and characterize their properties. Finally, the individual catalogs are cleaned, concatenated into a single catalog, and duplicates from the overlapping regions are eliminated. Some diagnostic plots are produced using Jupyter notebook. The documentation can be found in the [Documentation page](https://hi-friends-sdc2.readthedocs.io/en/latest/index.html). The workflow and the results can be cited in the [Zenodo record](https://doi.org/10.5281/zenodo.5167659).

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GPL-3.0

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