
In November 2024, Jacob Kalmbach developed and extended data processing pipelines for optical aberration analysis, focusing on the lsst-ts/donut_viz and lsst-ts/ts_wep repositories. He enabled sparse Zernike mode analysis and improved visualization by updating configuration management and plotting logic, allowing more flexible and accurate representation of optical data. Jacob reorganized pipeline configurations in ts_wep, introducing ingredient-based configuration files and new production-ready pipelines for daily processing and Danish Zernike estimation. Using Python and YAML, he emphasized maintainability and scalability, delivering features that streamline deployment and throughput for Zernike-based optics analyses. The work demonstrated depth in scientific computing and data engineering.

This month (2024-11) focused on delivering key features for optical aberration analysis and expanding data processing capabilities, while laying groundwork for scalable production pipelines. The work emphasizes business value through improved analysis accuracy, faster processing, and better maintainability of pipelines.
This month (2024-11) focused on delivering key features for optical aberration analysis and expanding data processing capabilities, while laying groundwork for scalable production pipelines. The work emphasizes business value through improved analysis accuracy, faster processing, and better maintainability of pipelines.
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