nu-radio/NuRadioMC
Nov 2024 – Mar 2026
4 Months active
Languages Used
textC++PythonYAMLpythonyaml
Technical Skills
DocumentationCode RefactoringCode ReversionConfiguration ManagementData AnalysisData Processing
Philipp Windischhofer
PROFILE
Philipp Windischhofer
Contributed to the NuRadioMC repository by delivering robust backend and infrastructure improvements over four months. Focused on Python and C++, the work included overhauling the glitch-detection pipeline with enhanced statistical methods, per-channel diagnostics, and improved plotting for data visualization. Addressed data integrity by refining export workflows and ensuring consistent device ID parsing, supporting reliable downstream analytics. Strengthened CI/CD processes using GitHub Actions and YAML-based configuration, introducing caching and reproducible Python environments to streamline releases. Additionally, fixed critical simulation bugs, such as correcting Fresnel coefficient calculations, which improved the accuracy of radio signal modeling for detector simulation and scientific analysis.
Overall Statistics
Feature vs Bugs
57%Features
Repository Contributions
23Total
Bugs
3
Commits
23
Features
4
Lines of code
274,981
Activity Months4
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130 peopleShared Repositories
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Felix SchlüterMember
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026: Strengthened NuRadioMC's CI/CD to accelerate delivery, improve reliability, and reduce repository size. Key changes include new GitHub Actions workflows with caching, automated Python environment setup, and a policy to commit notebooks without outputs. A structured approach to dependency management and documentation deployment was established to enable reproducible builds and smooth releases. These changes shorten feedback loops for developers and support scalable, maintainable releases.
1 Commits • 1 Features
Mar 1, 2026March 2026: Strengthened NuRadioMC's CI/CD to accelerate delivery, improve reliability, and reduce repository size. Key changes include new GitHub Actions workflows with caching, automated Python environment setup, and a policy to commit notebooks without outputs. A structured approach to dependency management and documentation deployment was established to enable reproducible builds and smooth releases. These changes shorten feedback loops for developers and support scalable, maintainable releases.
March 2026
March 2025
5 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for nu-radio/NuRadioMC. Focused on data integrity, export reliability, and data consistency across ModDetector workflows. Key outcomes include targeted feature delivery and bug fixes with concrete commit references.
March 2025
5 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for nu-radio/NuRadioMC. Focused on data integrity, export reliability, and data consistency across ModDetector workflows. Key outcomes include targeted feature delivery and bug fixes with concrete commit references.
January 2025
16 Commits • 2 Features
Jan 1, 2025Month: 2025-01 — Delivered major upgrades to NuRadioMC: redesigned glitch-detection pipeline with improved statistics and per-channel diagnostics, enhanced glitch visualization, and reliability hardening. These changes increase detection fidelity, reduce triage time, and improve production readiness. Technologies demonstrated include Python data processing, statistical methods for anomaly detection, plotting and visualization, robust logging, and configuration handling.
16 Commits • 2 Features
Jan 1, 2025Month: 2025-01 — Delivered major upgrades to NuRadioMC: redesigned glitch-detection pipeline with improved statistics and per-channel diagnostics, enhanced glitch visualization, and reliability hardening. These changes increase detection fidelity, reduce triage time, and improve production readiness. Technologies demonstrated include Python data processing, statistical methods for anomaly detection, plotting and visualization, robust logging, and configuration handling.
January 2025
November 2024
1 Commits
Nov 1, 2024November 2024: In NuRadioMC, delivered a critical bug fix correcting the Fresnel coefficient calculation to fix the polarity of reflected signals in non-TIR geometries. The change improves accuracy of radio signal simulations, supporting more reliable detector design and physics interpretation. The fix was implemented in nu-radio/NuRadioMC with a changelog update (commit ff0fd204896fdc9bdacfa2e0d4fc9509200c3447).
November 2024
1 Commits
Nov 1, 2024November 2024: In NuRadioMC, delivered a critical bug fix correcting the Fresnel coefficient calculation to fix the polarity of reflected signals in non-TIR geometries. The change improves accuracy of radio signal simulations, supporting more reliable detector design and physics interpretation. The fix was implemented in nu-radio/NuRadioMC with a changelog update (commit ff0fd204896fdc9bdacfa2e0d4fc9509200c3447).
Activity
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Quality Metrics
Correctness81.8%
Maintainability85.2%
Architecture76.4%
Performance72.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++PythonYAMLpythontextyaml
Technical Skills
Backend DevelopmentCI/CDCode RefactoringCode ReversionConfiguration ManagementData AnalysisData ExportData HandlingData ProcessingData StructuresData VisualizationDetector SimulationDocumentationGitHub ActionsLogging
Repositories Contributed To
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