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j-scholze

PROFILE

J-scholze

Josua Scholze contributed to the silvest/HEPfit repository by developing and integrating advanced theoretical models for rare B meson decays over a three-month period. He implemented neutrino-inclusive branching ratio predictions and incorporated non-perturbative contributions to enhance the precision of Standard Model calculations. Using C++ and leveraging skills in numerical analysis and high energy physics, Josua refactored core modules to support new decay channels and updated parameter management for improved maintainability. His work enabled more accurate theoretical predictions, facilitating reliable comparisons with experimental data and supporting beyond-the-Standard-Model analyses, demonstrating a strong grasp of both physics calculations and robust C++ development practices.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

4Total
Bugs
0
Commits
4
Features
3
Lines of code
834
Activity Months3

Work History

May 2025

1 Commits • 1 Features

May 1, 2025

Concise monthly summary for May 2025 focusing on delivered features, impact, and technical achievements in silvest/HEPfit. No major bugs fixed this month.

April 2025

2 Commits • 1 Features

Apr 1, 2025

In April 2025, focused on expanding the HEPfit neutrino-inclusive decay modeling for silvest/HEPfit, delivering end-to-end predictions for new neutrino final states and strengthening the robustness of core calculation modules.

November 2024

1 Commits • 1 Features

Nov 1, 2024

2024-11: Delivered the NPDF2 integration into the DGamma observable for B meson mixing in silvest/HEPfit. Updated calculations with new NPDF2 parameters and revised formulas to improve prediction accuracy. Commit: 0efe47745df3bc64acd09411660eed601cb8b158. No major bugs fixed this month. Business impact: higher fidelity theoretical predictions enabling more reliable phenomenology and experimental comparisons. Technologies/skills: theoretical modeling, parameter management for NPDF2, code integration and validation in HEPfit.

Activity

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Quality Metrics

Correctness82.6%
Maintainability80.0%
Architecture80.0%
Performance65.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++

Technical Skills

C++ DevelopmentHigh Energy PhysicsNumerical AnalysisNumerical IntegrationParticle PhysicsPhysics CalculationsTheoretical Physics

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

silvest/HEPfit

Nov 2024 May 2025
3 Months active

Languages Used

C++

Technical Skills

C++ DevelopmentNumerical AnalysisPhysics CalculationsHigh Energy PhysicsNumerical IntegrationParticle Physics

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