
Developed a DAQTreeFCAL JEventProcessor plugin for the JeffersonLab/halld_recon repository, enabling structured event-by-event analysis of FCAL detector data. The work focused on processing DFCALDigiHit objects and populating a ROOT TTree named FCALdigi with detailed detector fields such as channel, event, ROC ID, and signal characteristics. Leveraging C++ and ROOT, the implementation modeled detector data for improved integrity and traceability, while integrating seamlessly with existing build systems. This feature enhanced data availability for downstream FCAL analysis modules, accelerated validation of detector performance, and supported smoother integration with analysis pipelines, demonstrating skills in data acquisition, event processing, and plugin development.
April 2025 - JeffersonLab/halld_recon: Key feature delivered: a new DAQTreeFCAL JEventProcessor plugin to convert DFCALDigiHit data into a structured ROOT TTree (FCALdigi) for FCAL event-by-event analysis. Major bugs fixed: none reported this month for this repository. Overall impact: enables structured FCAL data analysis, improves data integrity and traceability, and accelerates downstream physics studies by providing a ready-to-analyze data format. Technologies/skills demonstrated: C++ JEventProcessor plugin architecture, ROOT TTree design, detector data modeling (DFCALDigiHit), and Git-based version control. Business value: enhanced data availability for FCAL analysis, faster validation of detector performance, and smoother integration with analysis pipelines.
April 2025 - JeffersonLab/halld_recon: Key feature delivered: a new DAQTreeFCAL JEventProcessor plugin to convert DFCALDigiHit data into a structured ROOT TTree (FCALdigi) for FCAL event-by-event analysis. Major bugs fixed: none reported this month for this repository. Overall impact: enables structured FCAL data analysis, improves data integrity and traceability, and accelerates downstream physics studies by providing a ready-to-analyze data format. Technologies/skills demonstrated: C++ JEventProcessor plugin architecture, ROOT TTree design, detector data modeling (DFCALDigiHit), and Git-based version control. Business value: enhanced data availability for FCAL analysis, faster validation of detector performance, and smoother integration with analysis pipelines.

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