cta-observatory/cta-lstchain
Jul 2025 – Jul 2025
1 Month active
Languages Used
Python
Technical Skills
AstronomyAstronomy SoftwareCode CleanupCode RefactoringCoordinate TransformationsData Analysis
rlopezcoto
PROFILE
Rlopezcoto
During July 2025, Roberto Lopez-Coto enhanced muon analysis workflows in the cta-observatory/cta-lstchain repository by improving visualization quality and refactoring coordinate system handling. He transitioned muon event plotting to camera coordinates in degrees and corrected radius calculations, resulting in more accurate and interpretable visualizations. Roberto also undertook a comprehensive code cleanup, aligning coordinate frames, renaming variables for clarity, and removing legacy constructs to improve maintainability. His work leveraged Python and scientific computing techniques, with a focus on data visualization and coordinate transformations. These targeted improvements deepened the reliability and clarity of muon analysis tools without introducing new bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
2
Lines of code
106
Activity Months1
Your Network
12 peopleSame Organization
@iaa.es1
Daniel MorcuendeMember
Shared Repositories
11
Maria LainezMember
Arnau Aguasca-CabotMember
Mathieu de BonyMember
morcuendedMember
Daniel MorcuendeMember
Guillaume GrolleronMember
Maximilian LinhoffMember
moralejoMember
Paula KorneckiMember
Work History
July 2025
9 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for cta-lstchain focusing on two main thrusts: visualization quality for muon analysis and a comprehensive coordinate-system cleanup to improve accuracy and maintainability.
9 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for cta-lstchain focusing on two main thrusts: visualization quality for muon analysis and a comprehensive coordinate-system cleanup to improve accuracy and maintainability.
July 2025
Activity
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Quality Metrics
Correctness84.6%
Maintainability91.0%
Architecture84.4%
Performance84.4%
AI Usage22.2%
Skills & Technologies
Programming Languages
Python
Technical Skills
AstronomyAstronomy SoftwareCode CleanupCode RefactoringCoordinate TransformationsData AnalysisData VisualizationImage ProcessingPythonScientific ComputingTesting
Repositories Contributed To
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