
Worked on enhancing vertical tracking for the Trigger Scintillator system in the LDMX-Software/ldmx-sw repository, focusing on improving tracking accuracy and reliability. Updated the tracking logic and configuration to incorporate vertical bar metadata, enabling more precise event reconstruction and supporting downstream analysis. Utilized C++ for core logic changes and Python for scripting and data analysis tasks. Refined the TS Track Producer by cleaning up verbose logging, adding detailed in-code comments with author and date, and adjusting sx0 parameters to align with the new configuration. The work emphasized maintainability and laid a foundation for future simulation and analysis improvements.
June 2026: Focused on strengthening Trigger Scintillator vertical tracking in the LDMX-Software/ldmx-sw repo. Delivered a vertical tracking enhancement by updating the TS tracking logic and incorporating vertical bar metadata into the configuration, resulting in improved tracking accuracy and more reliable trigger decisions. Cleaned up verbose logging, added precise in-code comments with author and date, and refined sx0 parameters for vertical bars to align with the new configuration. This work lays groundwork for more robust event reconstruction and smoother integration with downstream analysis pipelines. No major bugs reported; the work is feature-driven with clear maintenance improvements.
June 2026: Focused on strengthening Trigger Scintillator vertical tracking in the LDMX-Software/ldmx-sw repo. Delivered a vertical tracking enhancement by updating the TS tracking logic and incorporating vertical bar metadata into the configuration, resulting in improved tracking accuracy and more reliable trigger decisions. Cleaned up verbose logging, added precise in-code comments with author and date, and refined sx0 parameters for vertical bars to align with the new configuration. This work lays groundwork for more robust event reconstruction and smoother integration with downstream analysis pipelines. No major bugs reported; the work is feature-driven with clear maintenance improvements.

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