simonsobs/sotodlib
Jan 2025 – Apr 2025
2 Months active
Languages Used
Python
Technical Skills
AstropyHDF5NumPySciPySimulationTOAST
Gabriele Coppi
PROFILE
Gabriele Coppi
Gabriele Coppi contributed targeted engineering work to the simonsobs/sotodlib repository, focusing on drone simulation and observational data processing. He refactored the movement range and velocity logic in Python, using libraries such as NumPy and SciPy, to resolve inaccuracies in drone scan simulations, which improved planning and data quality for field campaigns. Later, he developed a feature enabling explicit configuration of drone scan starting points along azimuth and elevation, replacing implicit defaults with configurable traits. This change enhanced reproducibility and operability for automated scans. Coppi’s work demonstrated depth in simulation modeling, configuration-driven development, and maintainable API design within astronomy software.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
823
Activity Months2
Your Network
28 people
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025In April 2025, delivered a targeted feature in simonsobs/sotodlib that adds explicit configuration for drone scan starting points along azimuth and elevation, replacing previous implicit defaults. The change introduces source_azimuth_start and source_elevation_start traits, enabling precise control of initial scan position across azimuth/elevation scan types. This improves reproducibility, data quality, and operability for automated scans, lab/testing, and field deployments. Technologies demonstrated include Rust traits, API design, and configuration-driven development, highlighting strong maintainability and traceability.
1 Commits • 1 Features
Apr 1, 2025In April 2025, delivered a targeted feature in simonsobs/sotodlib that adds explicit configuration for drone scan starting points along azimuth and elevation, replacing previous implicit defaults. The change introduces source_azimuth_start and source_elevation_start traits, enabling precise control of initial scan position across azimuth/elevation scan types. This improves reproducibility, data quality, and operability for automated scans, lab/testing, and field deployments. Technologies demonstrated include Rust traits, API design, and configuration-driven development, highlighting strong maintainability and traceability.
April 2025
January 2025
1 Commits
Jan 1, 2025January 2025 monthly summary focusing on key accomplishments, highlighting a targeted bug fix in the drone simulation within simonsobs/sotodlib and its impact on planning and data quality.
January 2025
1 Commits
Jan 1, 2025January 2025 monthly summary focusing on key accomplishments, highlighting a targeted bug fix in the drone simulation within simonsobs/sotodlib and its impact on planning and data quality.
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture80.0%
Performance65.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Astronomy Software DevelopmentAstropyHDF5NumPyObservational Data ProcessingPythonSciPySimulationTOASTUnit Conversion
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