FRBs/FRB
Dec 2025 – Dec 2025
1 Month active
Languages Used
Python
Technical Skills
PythonPython programmingastronomyastrophysicsdata analysisobject-oriented programming
Mawson Sammons
PROFILE
Mawson Sammons
During December 2025, Mawson Sammons enhanced the FRBs/FRB repository by introducing new survey classes and updating distance calculations to use angular diameter distances, improving the accuracy and consistency of astronomical data across multiple catalogs. Mawson applied Python and object-oriented programming to standardize distance metrics and streamline cross-catalog data processing. Additionally, Mawson identified and fixed a bug in the TullyGroupCat class, ensuring that velocity calculations correctly accessed distance values, which strengthened data integrity for survey analyses. The work demonstrated a solid grasp of scientific computing and data analysis, delivering targeted improvements that addressed both feature development and critical bug resolution.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
216
Activity Months1
Your Network
10 people
Work History
December 2025
3 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for the FRBs/FRB repository. Highlights include Angular Diameter Distance Computation Enhancements across catalogs with the introduction of new survey classes to improve distance accuracy by switching distance calculations to angular diameter distances, and a bug fix in the TullyGroupCat RecVelocity calculation. Impact: more accurate and consistent distance metrics across catalogs, improved velocity calculations, and stronger data integrity for survey analyses. Technologies and skills demonstrated include cross-catalog data processing, distance metric standardization, debugging, commit-based traceability, and Python-based data pipelines.
3 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for the FRBs/FRB repository. Highlights include Angular Diameter Distance Computation Enhancements across catalogs with the introduction of new survey classes to improve distance accuracy by switching distance calculations to angular diameter distances, and a bug fix in the TullyGroupCat RecVelocity calculation. Impact: more accurate and consistent distance metrics across catalogs, improved velocity calculations, and stronger data integrity for survey analyses. Technologies and skills demonstrated include cross-catalog data processing, distance metric standardization, debugging, commit-based traceability, and Python-based data pipelines.
December 2025
Activity
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Quality Metrics
Correctness93.4%
Maintainability86.6%
Architecture93.4%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
PythonPython programmingastronomyastrophysicsdata analysisobject-oriented programmingscientific computing
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