DUNE/larnd-sim
Apr 2025 – Jun 2025
2 Months active
Languages Used
Python
Technical Skills
Data AnalysisData ProcessingData SimulationPerformance OptimizationScientific ComputingSimulation
Will Foreman
PROFILE
Will Foreman
Worked on the DUNE/larnd-sim repository to enhance simulation reliability and accuracy in particle physics workflows. Developed a delayed-segment filtering and reporting mechanism using Python, which stabilized induction simulations by dropping segments with excessive timestamp delays and logging detailed diagnostics for improved traceability. Addressed memory spikes and enabled more reproducible results through targeted data processing and performance optimization. Additionally, delivered a fix in the quenching logic to exclude gamma and neutron segments from generating ionization electrons and scintillation light, ensuring only relevant particle interactions contributed to charge and light simulations. Demonstrated strong skills in scientific computing, simulation, and data analysis.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
1
Lines of code
71
Activity Months2
Your Network
16 peopleShared Repositories
16
alexbooth92Member
cuddandrMember
Yifan ChenMember
Yifan ChenMember
Yifan ChenMember
Yifan ChenMember
Yifan ChenMember
Yifan ChenMember
Yifan ChenMember
Work History
June 2025
1 Commits
Jun 1, 2025June 2025: Delivered a targeted fix in DUNE/larnd-sim to improve quenching accuracy by filtering out ionization electrons and scintillation light for gamma (PDG 22) and neutron (PDG 2112) segments. The change ensures that only relevant particle interactions contribute to charge and light simulations, reducing spurious signals and aligning the detector response with physical expectations.
1 Commits
Jun 1, 2025June 2025: Delivered a targeted fix in DUNE/larnd-sim to improve quenching accuracy by filtering out ionization electrons and scintillation light for gamma (PDG 22) and neutron (PDG 2112) segments. The change ensures that only relevant particle interactions contribute to charge and light simulations, reducing spurious signals and aligning the detector response with physical expectations.
June 2025
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025: Delivered a robust delayed-segment filtering and reporting mechanism in the DUNE/larnd-sim induction simulation, addressing memory stability and enhancing observability. Implemented a filter to drop segments with excessively delayed timestamps during induction calculations, added warnings for dropped segments, and logged the number and specific t0 values of rejected segments. These changes reduce memory spikes in high-delay scenarios, improve reproducibility and traceability, and provide clearer diagnostics for performance tuning.
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025: Delivered a robust delayed-segment filtering and reporting mechanism in the DUNE/larnd-sim induction simulation, addressing memory stability and enhancing observability. Implemented a filter to drop segments with excessively delayed timestamps during induction calculations, added warnings for dropped segments, and logged the number and specific t0 values of rejected segments. These changes reduce memory spikes in high-delay scenarios, improve reproducibility and traceability, and provide clearer diagnostics for performance tuning.
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture65.0%
Performance65.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data AnalysisData ProcessingData SimulationParticle PhysicsPerformance OptimizationPhysics SimulationScientific ComputingSimulation
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline