DUNE/sandreco
Feb 2025 – Feb 2025
1 Month active
Languages Used
C++
Technical Skills
C++C++ DevelopmentCMakeError HandlingException HandlingParticle Physics Reconstruction
antoniogioiosa
PROFILE
Antoniogioiosa
Worked on advancing Sandreco’s reconstruction capabilities by integrating Kalman Filter-based event reconstruction into the DUNE/sandreco repository. Developed an end-to-end workflow in C++ using CMake, delivering an executable for testing and visualizing reconstruction results. Addressed a critical crash scenario by implementing defensive error and exception handling for out-of-range trajectory point indices, adding robust logging to improve code observability. These enhancements increased the reliability and fidelity of particle physics reconstruction pipelines, enabling faster validation of Kalman Filter workflows and reducing production risk. The work demonstrated a focus on software integration, error handling, and maintainable C++ development within a scientific computing context.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
162
Activity Months1
Your Network
10 peopleShared Repositories
10
Work History
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025: Focused on advancing Sandreco reconstruction capabilities and stabilizing data processing pipelines. Delivered Kalman Filter Reconstruction Integration for DUNE/sandreco, including an executable for testing and displaying reconstruction results. Fixed a critical crash scenario by addressing out-of-range trajectory point indices with defensive error handling and logging. These changes improve reconstruction fidelity, reliability, and developer productivity, enabling faster validation of KF-based workflows and reducing production risk.
2 Commits • 1 Features
Feb 1, 2025February 2025: Focused on advancing Sandreco reconstruction capabilities and stabilizing data processing pipelines. Delivered Kalman Filter Reconstruction Integration for DUNE/sandreco, including an executable for testing and displaying reconstruction results. Fixed a critical crash scenario by addressing out-of-range trajectory point indices with defensive error handling and logging. These changes improve reconstruction fidelity, reliability, and developer productivity, enabling faster validation of KF-based workflows and reducing production risk.
February 2025
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture70.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ DevelopmentCMakeError HandlingException HandlingParticle Physics ReconstructionSoftware Integration
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline