
During March 2025, Johannes Merz enhanced data visualization capabilities in the XENONnT/straxen repository by expanding the waveform plotting functionality. He introduced additional color and type options for peak representation, allowing for clearer interpretation of waveform data. Using Python and scientific computing techniques, Johannes refactored the plotting logic to dynamically handle multiple peak types and their associated styles, which improved both maintainability and readability of the codebase. His work ensured compatibility with the existing plotting pipeline, resulting in more consistent and informative visualizations. This focused contribution addressed the need for improved data interpretability in waveform analysis without introducing new bugs.

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.
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.
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