
Gian Marco Lucchetti developed a relative light yield correction feature for the XENONnT/straxen repository, addressing spatial and temporal variations in detector measurements. He introduced new configuration parameters to model z-position and time dependencies, applying these corrections directly to CS1 values to enhance measurement accuracy. The implementation leveraged his expertise in data analysis, physics simulation, and signal processing, using Python as the primary language. By parameterizing the correction, Gian Marco enabled future refinements and reproducibility, demonstrating a thoughtful approach to scientific software engineering. The work focused on depth, targeting a core calibration challenge and improving the reliability of experimental results.
Concise monthly summary for 2025-06 focusing on key accomplishments, business value, and technical achievements for XENONnT/straxen.
Concise monthly summary for 2025-06 focusing on key accomplishments, business value, and technical achievements for XENONnT/straxen.

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