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Gian Marco Lucchetti

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Gian Marco Lucchetti

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.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

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

Work History

June 2025

1 Commits • 1 Features

Jun 1, 2025

Concise monthly summary for 2025-06 focusing on key accomplishments, business value, and technical achievements for XENONnT/straxen.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Data AnalysisPhysics SimulationSignal Processing

Repositories Contributed To

1 repo

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

XENONnT/straxen

Jun 2025 Jun 2025
1 Month active

Languages Used

Python

Technical Skills

Data AnalysisPhysics SimulationSignal Processing