JeffersonLab/halld_recon
Apr 2025 – Apr 2025
1 Month active
Languages Used
CC++
Technical Skills
Data AcquisitionEvent ProcessingPlugin DevelopmentROOT Analysis
Malte Albrecht
PROFILE
Malte Albrecht
During April 2025, Malte developed a DAQTreeFCAL JEventProcessor plugin for the JeffersonLab/halld_recon repository, enabling structured event-by-event analysis of FCAL detector data. Using C++ and the ROOT framework, Malte designed the plugin to process DFCALDigiHit objects and populate a ROOT TTree with detailed detector fields such as channel, event, and timing information. This approach improved data integrity and traceability, providing a ready-to-analyze format for downstream physics studies. The work demonstrated skills in data acquisition, event processing, and plugin development, and facilitated faster validation of detector performance by integrating seamlessly with existing analysis pipelines and build systems.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
207
Activity Months1
Your Network
50 people
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 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.
1 Commits • 1 Features
Apr 1, 2025April 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
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++
Technical Skills
Data AcquisitionEvent ProcessingPlugin DevelopmentROOT Analysis
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