Interplanetary scintillation (IPS) is the subtle brightening and fading of stars caused by solar winds and coronal mass ejections travelling through our line of sight. A team of researchers at the CSIRO have been using the ASKAP telescope to search for IPS, however it involves processing the data in ways different from the long integration wide-field images used for galaxy surveys, or the very fast narrow-field beams used for pulsar surveys. For IPS the team need a combination of wide-field imaging, and high time resolution (100ms). Their existing data processing pipeline was producing quality results, but it was slow to complete, and difficult to manage. In this project, the team reached out to ADACS to assist in translating the custom workflow to use the workflow manager prefect that could make use of HPC resources.
The 2026A version of the project focused on the design and validation of a prefect based workflow, and in translating the most common use case.
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ADACS provided a solid foundation on which the GOTO-XBs team could further build the web app, and provided instructional information to up-skill the team.
A compact but enabling piece of computational infrastructure that allows astronomers to move from sampling tens of parameters to hundreds or thousands, thereby scaling Bayesian hierarchical analysis to the era of precision cosmology.
MCFOST encountered development hurdles amidst growing collaborators. ADACS assisted in implementing GitHub Actions for automated testing and version releases, streamlining workflow and enhancing code reliability.