
Worked on the lsst/rtn-095 repository to deliver a comprehensive update to the Image Differencing Performance Documentation, focusing on section 5.8. This effort involved correcting previous inaccuracies, clarifying the labeling process for transient detections, and incorporating new data on the reliability model’s performance. The work required strong data analysis and documentation skills, as well as familiarity with machine learning concepts to accurately represent model reliability. Using TeX for technical writing, the update improved the clarity and completeness of the documentation, providing users with more transparent and actionable information for evaluating transient detection performance in astronomical imaging workflows.
January 2026 monthly summary for repository lsst/rtn-095. The primary deliverable was a comprehensive update to the Image Differencing Performance Documentation, focusing on section 5.8. This work corrected inaccuracies, clarified the labeling process for transient detections, and added new data on the performance of the reliability model. The improvements enhance transparency and decision support for users evaluating transient detection performance.
January 2026 monthly summary for repository lsst/rtn-095. The primary deliverable was a comprehensive update to the Image Differencing Performance Documentation, focusing on section 5.8. This work corrected inaccuracies, clarified the labeling process for transient detections, and added new data on the performance of the reliability model. The improvements enhance transparency and decision support for users evaluating transient detection performance.

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