igmhub/picca
Dec 2024 – Dec 2024
1 Month active
Languages Used
Python
Technical Skills
AstrophysicsCode RefactoringCommand Line InterfaceData AnalysisDocumentationScientific Computing
Andreu Font
PROFILE
Andreu Font
During December 2024, Arnau Font enhanced the igmhub/picca repository by refining quasar pair filtering and forest-pair redshift-cut computations. He improved the command line interface by renaming flags and updating help messages, making the tool more intuitive for researchers. Using Python and leveraging skills in scientific computing and data analysis, Arnau refactored the neighbor-finding logic to apply angular and velocity cuts accurately, and introduced redshift error-based cuts to forest pair calculations, increasing the reliability of correlation results. He also addressed a stability issue in dmat computation and updated documentation, supporting reproducibility and smoother onboarding for new developers.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
136
Activity Months1
Your Network
10 people
Work History
December 2024
3 Commits • 2 Features
Dec 1, 2024December 2024: Delivered precision improvements to quasar pair filtering and forest-pair redshift-cut computations, with targeted CLI UX and documentation enhancements. Key changes include a CLI flag rename for redshift error cuts, refactoring the neighbor-finding logic to apply angular and velocity cuts correctly, and introducing redshift error-based cuts in forest pair calculations (xi and dmat) with updated help messages. A stability bug in dmat computation was fixed, accompanied by docstring updates and clearer XCF documentation steps. These changes improve analysis accuracy, reliability, and developer usability, enabling more robust cosmological inferences and faster researcher adoption.
3 Commits • 2 Features
Dec 1, 2024December 2024: Delivered precision improvements to quasar pair filtering and forest-pair redshift-cut computations, with targeted CLI UX and documentation enhancements. Key changes include a CLI flag rename for redshift error cuts, refactoring the neighbor-finding logic to apply angular and velocity cuts correctly, and introducing redshift error-based cuts in forest pair calculations (xi and dmat) with updated help messages. A stability bug in dmat computation was fixed, accompanied by docstring updates and clearer XCF documentation steps. These changes improve analysis accuracy, reliability, and developer usability, enabling more robust cosmological inferences and faster researcher adoption.
December 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture73.4%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AstrophysicsCode RefactoringCommand Line InterfaceData AnalysisDocumentationScientific Computing
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