mg5amcnlo/mg5amcnlo
Nov 2024 – Oct 2025
6 Months active
Languages Used
FortranPython
Technical Skills
Code RefactoringDebuggingError HandlingFortranPhysics CalculationsUnit Testing
marcozaro
PROFILE
Marcozaro
Marco Zaro focused on enhancing the reliability and correctness of the mg5amcnlo/mg5amcnlo codebase, addressing complex issues in high energy physics simulations. Over six months, he delivered targeted bug fixes that improved numerical accuracy, error handling, and user experience, particularly in NLO corrections and kinematic calculations. Working primarily in Fortran and Python, Marco refined conditional logic, updated unit tests, and strengthened error reporting to ensure robust downstream analyses. His work included improving histogram generation compatibility, refining the AMCATNLO interface, and correcting subtle issues in LHE parsing and complex-number array handling, demonstrating depth in computational physics and software maintainability.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
8Total
Bugs
7
Commits
8
Features
0
Lines of code
197
Activity Months6
Work History
October 2025
1 Commits
Oct 1, 2025October 2025 monthly summary for mg5amcnlo/mg5amcnlo: Focused on strengthening NLO build reliability and improving error feedback. Delivered targeted error handling to surface precise failure information during NLO compilation, enabling rapid diagnosis and reducing support time. This work lays groundwork for more robust CI workflows and smoother user experience in NLO workflows.
1 Commits
Oct 1, 2025October 2025 monthly summary for mg5amcnlo/mg5amcnlo: Focused on strengthening NLO build reliability and improving error feedback. Delivered targeted error handling to surface precise failure information during NLO compilation, enabling rapid diagnosis and reducing support time. This work lays groundwork for more robust CI workflows and smoother user experience in NLO workflows.
October 2025
July 2025
1 Commits
Jul 1, 2025July 2025 monthly summary for mg5amcnlo/mg5amcnlo focused on reliability and correctness of the AMCATNLO interface. Key effort this month was a targeted bug fix that gates Sudakov warnings behind the --ewsudakov flag to prevent misleading messages when the flag is not used. This change improves user experience and reduces support questions related to logging output. The fix is associated with commit 4a01aa63b9e7a9f23b73de85423877a0f2e08531 and contributed to overall release stability. Overall, there were no new user-facing features this month; instead, the priority was correctness, maintainability, and clearer runtime messaging.
July 2025
1 Commits
Jul 1, 2025July 2025 monthly summary for mg5amcnlo/mg5amcnlo focused on reliability and correctness of the AMCATNLO interface. Key effort this month was a targeted bug fix that gates Sudakov warnings behind the --ewsudakov flag to prevent misleading messages when the flag is not used. This change improves user experience and reduces support questions related to logging output. The fix is associated with commit 4a01aa63b9e7a9f23b73de85423877a0f2e08531 and contributed to overall release stability. Overall, there were no new user-facing features this month; instead, the priority was correctness, maintainability, and clearer runtime messaging.
June 2025
1 Commits
Jun 1, 2025June 2025 monthly summary for mg5amcnlo/mg5amcnlo: Focused on improving reliability of histogram generation by addressing Gnuplot version string parsing. Addressed a critical edge case where versions include two subversion numbers, preventing errors and ensuring broader compatibility across multiple Gnuplot installations. This work reduces plot failures and improves user experience in data visualization workflows.
1 Commits
Jun 1, 2025June 2025 monthly summary for mg5amcnlo/mg5amcnlo: Focused on improving reliability of histogram generation by addressing Gnuplot version string parsing. Addressed a critical edge case where versions include two subversion numbers, preventing errors and ensuring broader compatibility across multiple Gnuplot installations. This work reduces plot failures and improves user experience in data visualization workflows.
June 2025
April 2025
1 Commits
Apr 1, 2025April 2025 monthly summary for mg5amcnlo/mg5amcnlo: Focused on a critical bug fix in Fortran include files to ensure correct handling of complex-number arrays used in core calculations. No new features released this month; the primary work was a fix that improves numerical accuracy and prevents downstream calculation errors. The change enhances reliability of simulations and maintainability of the include-file declarations.
April 2025
1 Commits
Apr 1, 2025April 2025 monthly summary for mg5amcnlo/mg5amcnlo: Focused on a critical bug fix in Fortran include files to ensure correct handling of complex-number arrays used in core calculations. No new features released this month; the primary work was a fix that improves numerical accuracy and prevents downstream calculation errors. The change enhances reliability of simulations and maintainability of the include-file declarations.
February 2025
2 Commits
Feb 1, 2025February 2025 — mg5amcnlo/mg5amcnlo: Focused on reliability and numerical correctness of kinematic computations. No new user-facing features were delivered this month; the team delivered two critical bug fixes with targeted tests to strengthen LHE parsing and photon-induced process factorisation. Specifically, we corrected the pseudorapidity sign in FourMomentum in the LHE parser and added a unit test to ensure massless pseudorapidity matches rapidity; and fixed xkk(2) calculation in fks_singular for the Delta scheme in lepton collisions, ensuring correct factorisation for photon-induced processes. These fixes were implemented with minimal changes and accompanied by regression tests, reducing risk of incorrect cross sections and improving reproducibility downstream. Technologies/skills demonstrated include C++/Python maintenance, unit testing, numerical correctness in kinematic calculations, LHE parsing, FourMomentum math, and familiarity with FKS subtraction schemes.
2 Commits
Feb 1, 2025February 2025 — mg5amcnlo/mg5amcnlo: Focused on reliability and numerical correctness of kinematic computations. No new user-facing features were delivered this month; the team delivered two critical bug fixes with targeted tests to strengthen LHE parsing and photon-induced process factorisation. Specifically, we corrected the pseudorapidity sign in FourMomentum in the LHE parser and added a unit test to ensure massless pseudorapidity matches rapidity; and fixed xkk(2) calculation in fks_singular for the Delta scheme in lepton collisions, ensuring correct factorisation for photon-induced processes. These fixes were implemented with minimal changes and accompanied by regression tests, reducing risk of incorrect cross sections and improving reproducibility downstream. Technologies/skills demonstrated include C++/Python maintenance, unit testing, numerical correctness in kinematic calculations, LHE parsing, FourMomentum math, and familiarity with FKS subtraction schemes.
February 2025
November 2024
2 Commits
Nov 1, 2024Monthly summary for 2024-11 (mg5amcnlo/mg5amcnlo). This month focused on correctness and test coverage for NLO-related edge cases, with a concrete fix and supporting tests that improve accuracy and reliability in Sudakov-less scenarios. Key features delivered: - Robust edge-case handling for write_ewsud_has_lo when Sudakov contributions are absent under full NLO corrections. - Updated unit tests to reflect the corrected behavior, ensuring coverage aligns with the new logic. Major bugs fixed: - Bug: Edge-case handling in write_ewsud_has_lo for Sudakov-less processes under complete-NLO corrections; fixed conditional logic to produce correct results and prevent spurious outcomes. Overall impact and accomplishments: - Increased accuracy of NLO corrections in edge cases, reducing risk of incorrect results and saving debugging time for downstream analyses. - Higher reliability of mg5amcnlo/mg5amcnlo predictions used in cross-section calculations and event generation, directly benefiting physics analyses and publication quality. Technologies/skills demonstrated: - Debugging and refactoring of complex conditional logic in NLO-related code paths. - Test-driven validation with unit tests updated to cover new behavior. - Version control discipline with targeted commits to fix, verify, and document changes. - Strengthened CI/test suite stability for NLO edge-case scenarios.
November 2024
2 Commits
Nov 1, 2024Monthly summary for 2024-11 (mg5amcnlo/mg5amcnlo). This month focused on correctness and test coverage for NLO-related edge cases, with a concrete fix and supporting tests that improve accuracy and reliability in Sudakov-less scenarios. Key features delivered: - Robust edge-case handling for write_ewsud_has_lo when Sudakov contributions are absent under full NLO corrections. - Updated unit tests to reflect the corrected behavior, ensuring coverage aligns with the new logic. Major bugs fixed: - Bug: Edge-case handling in write_ewsud_has_lo for Sudakov-less processes under complete-NLO corrections; fixed conditional logic to produce correct results and prevent spurious outcomes. Overall impact and accomplishments: - Increased accuracy of NLO corrections in edge cases, reducing risk of incorrect results and saving debugging time for downstream analyses. - Higher reliability of mg5amcnlo/mg5amcnlo predictions used in cross-section calculations and event generation, directly benefiting physics analyses and publication quality. Technologies/skills demonstrated: - Debugging and refactoring of complex conditional logic in NLO-related code paths. - Test-driven validation with unit tests updated to cover new behavior. - Version control discipline with targeted commits to fix, verify, and document changes. - Strengthened CI/test suite stability for NLO edge-case scenarios.
Activity
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Quality Metrics
Correctness86.2%
Maintainability90.0%
Architecture82.6%
Performance82.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
FortranPython
Technical Skills
Bug FixingCode RefactoringComputational PhysicsConditional LogicDebuggingError HandlingFortranHigh Energy PhysicsNumerical MethodsPhysics CalculationsPhysics SimulationSoftware DevelopmentUnit TestingVersion Handling
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