Following the successful completion of the initial StarFit project, the software developers from ADACS have once again collaborated with the StarFit science team to provide software support. This follow-up project was completed ahead of schedule, thanks to the flexibility and responsiveness of the ADACS developers.
One of the significant achievements of this project was the adoption of Meson and a multi-stage build approach. With the deprecation of Distutils, the previous build system for the Fortran code, transitioning to Meson was a strategic decision to future-proof the project and align it with industry best practices. Moreover, certain Fortran code components, particularly those involving OpenMP, presented complexities not seamlessly handled by f2py. To address this, a multi-stage build approach leveraging Meson as the build system was adopted, ensuring robust and efficient handling of these components.
Documentation integration was also significantly improved with the seamless incorporation of ReadTheDocs, a widely-used documentation platform, into the project’s workflow. By directly linking documentation content to the codebase, real-time updates were enabled, ensuring that any changes in the code were immediately reflected in the documentation. This automated process reduced the burden of manual documentation maintenance, allowing developers to focus more on coding while ensuring that documentation remained up-to-date.
The successful completion of this follow-up project not only addressed the immediate needs of the StarFit science team but also laid a strong foundation for future developments.
Project Image: Screenshot from the StarFit online tool.
Check out some of our other projects.
TRACET is a web app that uses VOEvent alerts to decide which transient events to observe with the MWA telescope, streamlining the process of rapid-response observations.
The HORMONE simulation code makes use of a novel self-gravity solver. ADACS implemented MPI parallelisation into the code, enabling it to scale across multiple compute nodes, facilitating larger and more detailed simulations.
ADACS improved TESS-Atlas by optimising scalability, reducing website construction time, and automating workflows with a custom Job Controller for handling new exoplanet candidates efficiently.