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.
Check out some of our other projects.
StarFit, a tool for matching stellar abundance data to nucleosynthesis, was outdated and required a comprehensive revamp. ADACS assited by making key upgrades to the website, creating a PyPI python package, and adding features to the tool.
ADACS collaborated with researchers in Social Network Analysis to improve the performance of their simulation code. This allowed them to tackle research problems that were previously computationally intractable.
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.