DUNE/MaCh3_DUNE
Nov 2024 – May 2025
3 Months active
Languages Used
C++ShellYAMLyaml
Technical Skills
Code CleanupCode RefactoringConfiguration ManagementData AnalysisSystematic UncertaintiesC++
Liban Warsame
PROFILE
Liban Warsame
Over three months, LJW contributed to the DUNE/MaCh3_DUNE repository by developing and refining core features for neutrino physics simulation and data analysis. LJW implemented systematic spline configuration validation and enhanced near detector data handling, integrating covariance matrix workflows and improving runtime configuration checks. Using C++, YAML, and scripting, LJW refactored spline setup logic, improved configuration management, and addressed critical issues in POT normalization and oscillation parameter consistency. The work emphasized code readability, maintainability, and robust error handling, resulting in more reliable data processing pipelines and reproducible analyses. These contributions strengthened the foundation for systematic studies and simulation accuracy.
Overall Statistics
Feature vs Bugs
63%Features
Repository Contributions
23Total
Bugs
3
Commits
23
Features
5
Lines of code
1,009
Activity Months3
Your Network
23 peopleSame Organization
@lxgpu04.hep.ph.ic.ac.uk1
Work History
May 2025
10 Commits • 1 Features
May 1, 2025May 2025 – DUNE/MaCh3_DUNE: Delivered core ND spline data handling improvements and configuration cleanup, fixed critical POT normalization and beam-parameter typos, and tightened configuration management to improve accuracy, reproducibility, and maintainability.
10 Commits • 1 Features
May 1, 2025May 2025 – DUNE/MaCh3_DUNE: Delivered core ND spline data handling improvements and configuration cleanup, fixed critical POT normalization and beam-parameter typos, and tightened configuration management to improve accuracy, reproducibility, and maintainability.
May 2025
March 2025
11 Commits • 2 Features
Mar 1, 20252025-03 Monthly Summary for DUNE MaCh3_DUNE: Implemented end-to-end Near Detector data handling with covariance integration, improved robustness of ND covariance workflows, and expanded oscillation configuration with NuFAST and CUDAProb3. Delivered configurable ND samples and covariance matrices, added input linking and det_sys_cov data handling, and strengthened error handling and shape checks. Enhanced beam-configuration options (including T2K-like setups) to support more accurate systematic modeling and parameter estimation. These contributions improve data processing reliability, reduce risk of runtime issues, and provide a stronger foundation for near-detector systematics studies and beamline simulations.
March 2025
11 Commits • 2 Features
Mar 1, 20252025-03 Monthly Summary for DUNE MaCh3_DUNE: Implemented end-to-end Near Detector data handling with covariance integration, improved robustness of ND covariance workflows, and expanded oscillation configuration with NuFAST and CUDAProb3. Delivered configurable ND samples and covariance matrices, added input linking and det_sys_cov data handling, and strengthened error handling and shape checks. Enhanced beam-configuration options (including T2K-like setups) to support more accurate systematic modeling and parameter estimation. These contributions improve data processing reliability, reduce risk of runtime issues, and provide a stronger foundation for near-detector systematics studies and beamline simulations.
November 2024
2 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for DUNE/MaCh3_DUNE: Delivered Systematic Spline Configuration Validation to track interaction-mode status per systematic and flag discrepancies where a spline is found for a mode not specified in the cov YAML, enabling runtime configuration validation and reporting. Implemented code quality improvements with a SplinesDUNE.cpp cleanup to enhance readability and maintainability (no functional changes). These efforts reduce configuration drift, improve reliability of spline handling, and lay groundwork for automated reporting and future validation features. Commit references: fc6f576b9007052d780fe474e81a2ff63e6e27cb; 7b852e78acdb1fef8beff9b87ac9a2d0b60812bf.
2 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for DUNE/MaCh3_DUNE: Delivered Systematic Spline Configuration Validation to track interaction-mode status per systematic and flag discrepancies where a spline is found for a mode not specified in the cov YAML, enabling runtime configuration validation and reporting. Implemented code quality improvements with a SplinesDUNE.cpp cleanup to enhance readability and maintainability (no functional changes). These efforts reduce configuration drift, improve reliability of spline handling, and lay groundwork for automated reporting and future validation features. Commit references: fc6f576b9007052d780fe474e81a2ff63e6e27cb; 7b852e78acdb1fef8beff9b87ac9a2d0b60812bf.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability88.6%
Architecture87.4%
Performance80.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++ShellYAMLyaml
Technical Skills
C++C++ DevelopmentCode CleanupCode RefactoringConfiguration ManagementCovariance MatrixData AnalysisData Analysis ConfigurationData ConfigurationData ProcessingFile ManagementNeutrino PhysicsPhysics SimulationROOTScripting
Repositories Contributed To
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