FRBs/FRB
Apr 2025 – Aug 2025
3 Months active
Languages Used
Python
Technical Skills
Astronomy SoftwareCode RefactoringData VisualizationPlotting LibrariesScientific ComputingScripting
lluism
PROFILE
Lluism
Lluis Mas Ribas contributed to the FRBs/FRB repository by developing robust plotting features and improving the reliability of redshift and luminosity calculations. Using Python and scientific computing libraries, he enhanced data visualization for redshift analyses, refined magnitude versus redshift plots, and introduced configurable output options to support automation and reproducibility. He addressed edge-case instabilities in magnitude and luminosity pipelines by capping minimum redshift values, ensuring stable calculations for low-redshift data. His work included targeted code refactoring and documentation improvements, resulting in more maintainable and reliable astronomy software. The depth of his contributions strengthened both data quality and pipeline robustness.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
5Total
Bugs
2
Commits
5
Features
2
Lines of code
76
Activity Months3
Your Network
10 people
Work History
August 2025
1 Commits
Aug 1, 2025August 2025 — FRBs/FRB. Focused on stabilizing luminosity calculations by addressing an edge-case in redshift handling. Implemented a minimum redshift cap of 0.02 to prevent instability in L* computations, improving data quality for downstream analytics and reporting. The fix is recorded in commit 146fe0cddd3b77e006f3939d6bf972f3c035b156 with description 'redshit limit for L calc'.
1 Commits
Aug 1, 2025August 2025 — FRBs/FRB. Focused on stabilizing luminosity calculations by addressing an edge-case in redshift handling. Implemented a minimum redshift cap of 0.02 to prevent instability in L* computations, improving data quality for downstream analytics and reporting. The fix is recorded in commit 146fe0cddd3b77e006f3939d6bf972f3c035b156 with description 'redshit limit for L calc'.
August 2025
July 2025
1 Commits
Jul 1, 2025July 2025 monthly summary for FRBs/FRB repository. Focused on hardening numerical stability in magnitude calculations by capping z_min at 0.02 and integrating this cap into the m_r_Lstar_min calculation. Result: more reliable low-redshift behavior and reduced edge-case failures in the FRB magnitude pipeline.
July 2025
1 Commits
Jul 1, 2025July 2025 monthly summary for FRBs/FRB repository. Focused on hardening numerical stability in magnitude calculations by capping z_min at 0.02 and integrating this cap into the m_r_Lstar_min calculation. Result: more reliable low-redshift behavior and reduced edge-case failures in the FRB magnitude pipeline.
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 performance summary for FRBs/FRB. Focused on delivering robust plotting features for redshift analyses and aligning plotting code with automation needs. Key contributions include targeted plotting enhancements, resolution of redshift range and output path issues, and a clean-up pass that improves maintainability without changing behavior. These improvements enhance data interpretation, reproducibility, and pipeline reliability.
3 Commits • 2 Features
Apr 1, 2025April 2025 performance summary for FRBs/FRB. Focused on delivering robust plotting features for redshift analyses and aligning plotting code with automation needs. Key contributions include targeted plotting enhancements, resolution of redshift range and output path issues, and a clean-up pass that improves maintainability without changing behavior. These improvements enhance data interpretation, reproducibility, and pipeline reliability.
April 2025
Activity
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Quality Metrics
Correctness84.0%
Maintainability84.0%
Architecture72.0%
Performance68.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Astronomy SoftwareCode RefactoringData AnalysisData VisualizationPlotting LibrariesScientific ComputingScripting
Repositories Contributed To
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