NNPDF/nnpdf
Oct 2024 – Feb 2026
8 Months active
Languages Used
PythonYAMLpythonyaml
Technical Skills
Data AnalysisPhysics SimulationConfiguration ManagementHigh Energy PhysicsHigh-Energy PhysicsPhysics Data Processing
enocera
PROFILE
Enocera
Worked on the NNPDF/nnpdf repository, delivering features and fixes that improved data analysis, visualization, and configuration management for high-energy physics workflows. Developed PDG-style polarized PDF visualizations, standardized luminosity uncertainty handling across ATLAS, CMS, and LHCb datasets, and enhanced data-theory comparison pipelines with improved systematic uncertainty representation. Used Python and YAML to implement robust data integration, metadata governance, and reproducible experiment configurations. Addressed bugs in plotting and data labeling to ensure accurate uncertainty calculations and data integrity. Maintained clear documentation and commit hygiene, supporting maintainability and traceability. Demonstrated strengths in scientific computing, data processing, and technical writing throughout the project.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
22Total
Bugs
3
Commits
22
Features
6
Lines of code
2,890
Activity Months8
Your Network
25 peopleShared Repositories
25
Andrew PietraszkiewiczMember
achiefaMember
Giovanni De CrescenzoMember
Eva GroenendijkMember
Ella ColeMember
Eva Doortje Zee GroenendijkMember
Eva Doortje Zee GroenendijkMember
Eva Doortje Zee GroenendijkMember
Eleanor ColeMember
Work History
February 2026
1 Commits
Feb 1, 2026February 2026 monthly summary for NNPDF/nnpdf: Delivered a critical bug fix in the plotting module to correct the sign before shifts applied to central values, ensuring accurate data representation and preventing misinterpretation of results. The fix was committed as 6bc8c1b90ade264d224c8a5961236a3af781df8b, and the change enhances data integrity for visual analyses used in downstream decisions.
1 Commits
Feb 1, 2026February 2026 monthly summary for NNPDF/nnpdf: Delivered a critical bug fix in the plotting module to correct the sign before shifts applied to central values, ensuring accurate data representation and preventing misinterpretation of results. The fix was committed as 6bc8c1b90ade264d224c8a5961236a3af781df8b, and the change enhances data integrity for visual analyses used in downstream decisions.
February 2026
October 2025
2 Commits
Oct 1, 2025Monthly summary for 2025-10 (NNPDF/nnpdf). Key features delivered: - None announced this month. Focused on data quality improvements to preserve integrity of luminosity uncertainty calculations. Major bugs fixed: - Luminosity uncertainty data source label corrected from ATLASLUMI15 to ATLASLUMIRUNII across multiple files to ensure accurate uncertainty calculations. Overall impact and accomplishments: - Improved data accuracy and reliability of luminosity uncertainties. - Alignment with ATLAS labeling standards (ATLASLUMIRUNII). - Reduced risk of incorrect uncertainty propagation in physics analyses. - Strengthened data provenance and maintainability through explicit commit history. Technologies/skills demonstrated: - Version control and commit hygiene (Git), cross-file data labeling, and data governance. - Domain knowledge of luminosity uncertainties and ATLAS labeling conventions. - Reproducibility and traceability in data pipelines.
October 2025
2 Commits
Oct 1, 2025Monthly summary for 2025-10 (NNPDF/nnpdf). Key features delivered: - None announced this month. Focused on data quality improvements to preserve integrity of luminosity uncertainty calculations. Major bugs fixed: - Luminosity uncertainty data source label corrected from ATLASLUMI15 to ATLASLUMIRUNII across multiple files to ensure accurate uncertainty calculations. Overall impact and accomplishments: - Improved data accuracy and reliability of luminosity uncertainties. - Alignment with ATLAS labeling standards (ATLASLUMIRUNII). - Reduced risk of incorrect uncertainty propagation in physics analyses. - Strengthened data provenance and maintainability through explicit commit history. Technologies/skills demonstrated: - Version control and commit hygiene (Git), cross-file data labeling, and data governance. - Domain knowledge of luminosity uncertainties and ATLAS labeling conventions. - Reproducibility and traceability in data pipelines.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for NNPDF/nnpdf: Delivered a feature that enhances the Data Theory Comparison workflow by updating the RunCard and associated data inputs. Updated with_shift handling, refreshed example YAML datasets, and removed obsolete parsing from the configuration class, resulting in a cleaner, more reproducible experiment setup. No major bug fixes were recorded this month. Impact: streamlined experiment configuration, improved reproducibility, and alignment with review feedback (JCM). Technologies and skills demonstrated: Python configuration management, YAML data handling, code cleanup and refactoring, git-based collaboration and review, and documentation for tutorials.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for NNPDF/nnpdf: Delivered a feature that enhances the Data Theory Comparison workflow by updating the RunCard and associated data inputs. Updated with_shift handling, refreshed example YAML datasets, and removed obsolete parsing from the configuration class, resulting in a cleaner, more reproducible experiment setup. No major bug fixes were recorded this month. Impact: streamlined experiment configuration, improved reproducibility, and alignment with review feedback (JCM). Technologies and skills demonstrated: Python configuration management, YAML data handling, code cleanup and refactoring, git-based collaboration and review, and documentation for tutorials.
September 2025
August 2025
9 Commits • 1 Features
Aug 1, 2025During August 2025, delivered a major enhancement to the data-theory comparison workflow in NNPDF/nnpdf. Added shifts_from_systematics to account for correlated systematics, integrated shift handling into plot_fancy and the data-theory visualization pipeline, and expanded tests and documentation for the with_shift option and the data-theory workflow. Implemented an ATLAS ZpT 8 TeV variant replacing a large set of 100 correlated systematics with a compact mix (1 stat, 1 uncorrelated systematic, and 1 correlated systematic, plus luminosity and optional MC), improving stability, reproducibility, and maintainability. Updated metadata and expanded comments for clarity. Result: clearer, more accurate uncertainty representation, faster test cycles, and a smoother workflow for future systematic studies.
August 2025
9 Commits • 1 Features
Aug 1, 2025During August 2025, delivered a major enhancement to the data-theory comparison workflow in NNPDF/nnpdf. Added shifts_from_systematics to account for correlated systematics, integrated shift handling into plot_fancy and the data-theory visualization pipeline, and expanded tests and documentation for the with_shift option and the data-theory workflow. Implemented an ATLAS ZpT 8 TeV variant replacing a large set of 100 correlated systematics with a compact mix (1 stat, 1 uncorrelated systematic, and 1 correlated systematic, plus luminosity and optional MC), improving stability, reproducibility, and maintainability. Updated metadata and expanded comments for clarity. Result: clearer, more accurate uncertainty representation, faster test cycles, and a smoother workflow for future systematic studies.
June 2025
4 Commits • 1 Features
Jun 1, 2025June 2025 (2025-06) — NNPDF/nnpdf: Delivered data integration capabilities for inclusive cross-section datasets and completed metadata hygiene, enabling robust, reproducible analyses across ATLAS and CMS datasets (ttbar, WPWM, Z0).
4 Commits • 1 Features
Jun 1, 2025June 2025 (2025-06) — NNPDF/nnpdf: Delivered data integration capabilities for inclusive cross-section datasets and completed metadata hygiene, enabling robust, reproducible analyses across ATLAS and CMS datasets (ttbar, WPWM, Z0).
June 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for NNPDF/nnpdf: Focused on delivering a user-facing visualization improvement and maintaining stability. Key feature delivered: clarified heatmap color bar label in the theory covariance matrix, updating from '% of data' to '% of data value' to improve precision and interpretation. Implemented via commit a15a6c89dbd2d8e515f33fdd54ce1792b6e8256c. No major bugs reported in this period; the work maintained stability and touched a small portion of visualization code. Overall impact: improved interpretability of covariance analyses, enabling researchers to make more informed decisions and reducing potential misinterpretation risk. Technologies/skills demonstrated: visualization UX improvement, precise labeling, focused, release-ready change with a single commit, strong version control discipline.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for NNPDF/nnpdf: Focused on delivering a user-facing visualization improvement and maintaining stability. Key feature delivered: clarified heatmap color bar label in the theory covariance matrix, updating from '% of data' to '% of data value' to improve precision and interpretation. Implemented via commit a15a6c89dbd2d8e515f33fdd54ce1792b6e8256c. No major bugs reported in this period; the work maintained stability and touched a small portion of visualization code. Overall impact: improved interpretability of covariance analyses, enabling researchers to make more informed decisions and reducing potential misinterpretation risk. Technologies/skills demonstrated: visualization UX improvement, precise labeling, focused, release-ready change with a single commit, strong version control discipline.
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 – NNPDF/nnpdf: Focused on cross-experiment standardization of luminosity uncertainty definitions and correlation handling to improve data analysis accuracy across ATLAS, CMS, and LHCb for 7, 8, and 13 TeV datasets. Implemented updated identifiers, configuration changes, and cross-checks to ensure consistent uncertainty treatment and reproducibility.
3 Commits • 1 Features
Feb 1, 2025February 2025 – NNPDF/nnpdf: Focused on cross-experiment standardization of luminosity uncertainty definitions and correlation handling to improve data analysis accuracy across ATLAS, CMS, and LHCb for 7, 8, and 13 TeV datasets. Implemented updated identifiers, configuration changes, and cross-checks to ensure consistent uncertainty treatment and reproducibility.
February 2025
October 2024
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 — Delivered a foundational visualization capability for polarized PDFs in the NNPDF/nnpdf repository. Implemented a Polarized PDFs Visualization Basis in PDG-style format with a mapping for polarized parton components, enabling clear display and visualization of polarized PDF data. This work provides a stable basis for downstream visualization, analytics, and validation workflows and aligns with PDG conventions for data presentation.
October 2024
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 — Delivered a foundational visualization capability for polarized PDFs in the NNPDF/nnpdf repository. Implemented a Polarized PDFs Visualization Basis in PDG-style format with a mapping for polarized parton components, enabling clear display and visualization of polarized PDF data. This work provides a stable basis for downstream visualization, analytics, and validation workflows and aligns with PDG conventions for data presentation.
Activity
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Quality Metrics
Correctness91.4%
Maintainability90.8%
Architecture87.2%
Performance82.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAMLpythonyaml
Technical Skills
Configuration ManagementData AnalysisData ConfigurationData ManagementData ProcessingData VisualizationDocumentationHigh Energy PhysicsHigh-Energy PhysicsNumerical MethodsPhysics Data IntegrationPhysics Data ProcessingPhysics SimulationPlotting LibrariesPython
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