
Gian Marco Lucchetti developed a relative light yield correction 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 Python and incorporated data analysis and physics simulation techniques, ensuring the solution was both configurable and reproducible for future refinements. By focusing on parameterization and modularity, Gian Marco’s work provided a robust foundation for ongoing improvements in signal processing, though the scope was limited to a single feature within the reported period.

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