cositools/cosipy
Aug 2024 – Mar 2026
4 Months active
Languages Used
PythonJupyter Notebook
Technical Skills
AstropyPythonUnit Testingdata analysisdata visualizationscientific computing
Krishna Teja Vedula
PROFILE
Krishna Teja Vedula
Worked on the cositools/cosipy repository over four months, delivering four new features focused on astrophysical data simulation and analysis. Developed a robust polarization module, introducing meshgrid utilities and projection transforms using Python and Astropy, and unified polarization conventions for consistent angle handling. Enhanced the Source Injector with polarized source injection and Earth occultation support, enabling more accurate point source simulations. Authored comprehensive Jupyter Notebook tutorials and expanded documentation to improve onboarding and reproducibility. Emphasized scientific computing best practices by adding unit tests and increasing test coverage, resulting in more reliable workflows and maintainable code for astrophysics data analysis tasks.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
4
Lines of code
2,148
Activity Months4
Your Network
65 peopleShared Repositories
35
Abhijeet NardeleMember
Koothodil Abhijith AugustintineMember
abhijeet nardeleMember
Alberto SciaccalugaMember
Andreas ZoglauerMember
Ashwin AravindarajMember
Gus ThomasMember
Christopher M. KarwinMember
Christopher M. KarwinMember
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered Earth occultation enhancement for SourceInjector in cosipy to support scattering map calculations, expanding point source injection capabilities. Updated code and tutorials to align with new interfaces, improving reliability and user onboarding.
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered Earth occultation enhancement for SourceInjector in cosipy to support scattering map calculations, expanding point source injection capabilities. Updated code and tutorials to align with new interfaces, improving reliability and user onboarding.
March 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered polarized source injection capability for the cosipy Source Injector, enabling polarization-aware simulations for point sources. Updated the point source injector tutorial to include practical polarization examples, improving onboarding and usability. No major bugs fixed this month; focus was on feature development and documentation to accelerate downstream adoption. Overall impact: higher fidelity simulation capabilities, better onboarding, and a stronger foundation for future polarization workflows. Technologies/skills demonstrated: Python code changes in source_injector.py, tutorial/documentation authoring, and Git-based release discipline.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026: Delivered polarized source injection capability for the cosipy Source Injector, enabling polarization-aware simulations for point sources. Updated the point source injector tutorial to include practical polarization examples, improving onboarding and usability. No major bugs fixed this month; focus was on feature development and documentation to accelerate downstream adoption. Overall impact: higher fidelity simulation capabilities, better onboarding, and a stronger foundation for future polarization workflows. Technologies/skills demonstrated: Python code changes in source_injector.py, tutorial/documentation authoring, and Git-based release discipline.
March 2025
4 Commits • 1 Features
Mar 1, 2025March 2025 performance for cositools/cosipy: Delivered a complete end-to-end Extended_source_injector workflow via a Notebook example, including definition, injection, plotting, Healpix map generation, and saving results to an HDF5 file. Updated documentation headers for readability and expanded unit tests to cover extended source injection scenarios, including error handling and history type checks. These changes improve reproducibility, user onboarding, and test coverage, while reducing regression risk.
4 Commits • 1 Features
Mar 1, 2025March 2025 performance for cositools/cosipy: Delivered a complete end-to-end Extended_source_injector workflow via a Notebook example, including definition, injection, plotting, Healpix map generation, and saving results to an HDF5 file. Updated documentation headers for readability and expanded unit tests to cover extended source injection scenarios, including error handling and history type checks. These changes improve reproducibility, user onboarding, and test coverage, while reducing regression risk.
March 2025
August 2024
4 Commits • 1 Features
Aug 1, 2024In 2024-08, delivered a polarization module overhaul for cosipy, introducing utilities for generating meshgrids, and performing orthographic and stereographic projections, as well as transforming polarization angles between coordinate systems. Consolidated polarization conventions under a base class, added unit tests, and tightened angle handling by using astropy.coordinates.Angle and normalizing projection vectors. Also constrained polarization angle to [0, pi] for robustness. These changes improve robustness and consistency of polarization data products across coordinate systems, enabling more reliable downstream analyses and visuals.
August 2024
4 Commits • 1 Features
Aug 1, 2024In 2024-08, delivered a polarization module overhaul for cosipy, introducing utilities for generating meshgrids, and performing orthographic and stereographic projections, as well as transforming polarization angles between coordinate systems. Consolidated polarization conventions under a base class, added unit tests, and tightened angle handling by using astropy.coordinates.Angle and normalizing projection vectors. Also constrained polarization angle to [0, pi] for robustness. These changes improve robustness and consistency of polarization data products across coordinate systems, enabling more reliable downstream analyses and visuals.
Activity
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Quality Metrics
Correctness95.0%
Maintainability88.0%
Architecture90.0%
Performance84.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
AstroPy ModelsAstrophysicsAstropyCosipyData SimulationData VisualizationDocumentationHealpixJupyter NotebooksNumPyPythonScientific ComputingSoftware TestingUnit Testingdata analysis
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