Returning to the Code with a Fresh Perspective

 I'm back at the keyboard after a productive week away at the Dunlap Summer School. While the focus there was on radio astronomy, stepping away from the RIPPLe project has provided some much-needed perspective. It’s easy to get lost in the details of a complex software project, and I’m finding that returning with a clear mind is helping me identify issues and solutions that I previously overlooked.

The core challenge remains: bridging the gap between the LSST Science Pipelines and the DeepLense models. With the first half of the project focused on building the foundational data access and preprocessing layers, the next step is to integrate the machine learning models and create a true end-to-end workflow. It’s time to get started.

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