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Johannes Merz

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Johannes Merz

During March 2025, Johannes Merz enhanced data visualization capabilities in the XENONnT/straxen repository by improving waveform peak visualization for scientific data analysis. He refactored the existing plotting logic in Python to dynamically support multiple peak types, introducing expanded color and style options to make peak interpretation clearer and more consistent. This work focused on maintainability and readability, ensuring that the visualization pipeline could handle diverse waveform data without sacrificing clarity. Leveraging skills in data visualization and scientific computing, Johannes delivered a feature that improved the interpretability of waveform plots, directly supporting more effective analysis within the straxen framework.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
30
Activity Months1

Work History

March 2025

1 Commits • 1 Features

Mar 1, 2025

February 2025-03 monthly summary for XENONnT/straxen focusing on delivering data visualization improvements and maintaining plotting quality. The work concentrated on enhancing peak visualization in waveform plots and ensuring consistency across the plotting pipeline, with clear business value in improved data interpretability for waveform analysis.

Activity

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Quality Metrics

Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Data VisualizationPythonScientific Computing

Repositories Contributed To

1 repo

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

XENONnT/straxen

Mar 2025 Mar 2025
1 Month active

Languages Used

Python

Technical Skills

Data VisualizationPythonScientific Computing