roman-corgi/corgidrp
Feb 2025 – Nov 2025
4 Months active
Languages Used
PythonNumPyShell
Technical Skills
AstronomyCode RefactoringData ReductionFile Path ManagementImage AnalysisPython
toshiyukimizuki
PROFILE
Toshiyukimizuki
Toshiyuki Mizuki developed and enhanced core data reduction and polarimetry modules for the roman-corgi/corgidrp repository, focusing on robust source detection, signal-to-noise mapping, and Stokes parameter calculations. He refactored Python-based pipelines to improve accuracy, efficiency, and maintainability, introducing PSF-convolved S/N map generation and direct storage of detected sources in FITS headers. Toshiyuki strengthened the test infrastructure using Pytest and NumPy, expanded reproducible mock imagery, and improved statistical validation of polarization products. His work emphasized reliable file handling, modular code organization, and comprehensive documentation, resulting in a more resilient, auditable, and maintainable scientific computing workflow for astronomical data analysis.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
42Total
Bugs
4
Commits
42
Features
12
Lines of code
44,650
Activity Months4
Your Network
36 peopleShared Repositories
36
maillardMember
Alexis LauMember
Aneesh BaburajMember
bensutlieffMember
clarissardooMember
Ell BogatMember
Eric ShenMember
Ezar ShinbaroMember
Jason WangMember
Work History
November 2025
6 Commits • 2 Features
Nov 1, 2025November 2025 monthly summary for roman-corgi/corgidrp focusing on polarimetry reliability and maintainability. Delivered improvements to polarization calculations with reproducible mock imagery and robust statistical checks, alongside substantial test suite enhancements. These efforts reduce regression risk, improve stakeholder confidence in polarization products, and enable faster development cycles.
6 Commits • 2 Features
Nov 1, 2025November 2025 monthly summary for roman-corgi/corgidrp focusing on polarimetry reliability and maintainability. Delivered improvements to polarization calculations with reproducible mock imagery and robust statistical checks, alongside substantial test suite enhancements. These efforts reduce regression risk, improve stakeholder confidence in polarization products, and enable faster development cycles.
November 2025
October 2025
26 Commits • 7 Features
Oct 1, 2025October 2025 (roman-corgi/corgidrp): Delivered a foundational Stokes unocculted calculation module (v1) and a focused bugfix, established test infrastructure improvements, and prepared the codebase for more robust polarimetry workflows. The work combined feature delivery, quality improvements, and test organization to reduce risk and accelerate future iterations.
October 2025
26 Commits • 7 Features
Oct 1, 2025October 2025 (roman-corgi/corgidrp): Delivered a foundational Stokes unocculted calculation module (v1) and a focused bugfix, established test infrastructure improvements, and prepared the codebase for more robust polarimetry workflows. The work combined feature delivery, quality improvements, and test organization to reduce risk and accelerate future iterations.
March 2025
8 Commits • 2 Features
Mar 1, 2025Concise monthly summary for 2025-03 focusing on business value and technical achievements for roman-corgi/corgidrp. Key deliverables: - S/N map generation and PSF-based source detection: Introduced PSF-convolved signal-to-noise map generation and iterative detection/subtraction, with new make_snmap and psf_scalesub utilities to enable robust image analysis in corgidrp. - Storage of detected sources in FITS header and strengthened tests: Refactored source detection to record detected source information directly in FITS headers and expanded tests for simulation and validation of detections. - Data handling robustness: Hardened data handling and file operations in the data processing pipeline to improve reliability and correctness. - Code cleanup and documentation: Removed plotting from the detection module, clarified documentation to separate data processing from visualization, and improved maintainability. Impact and technical accomplishments: - Increased reliability and traceability of source catalogs, enabling reproducible analyses and easier auditing of results. - Improved pipeline resilience reduces failure modes in data processing and simplifies future maintenance. - Demonstrated strong Python-based image analysis capabilities, PSF-driven workflows, and robust testing/documentation practices. Technologies/skills demonstrated: - Python, image analysis, PSF convolution, FITS headers, data pipelines, testing, and documentation.
8 Commits • 2 Features
Mar 1, 2025Concise monthly summary for 2025-03 focusing on business value and technical achievements for roman-corgi/corgidrp. Key deliverables: - S/N map generation and PSF-based source detection: Introduced PSF-convolved signal-to-noise map generation and iterative detection/subtraction, with new make_snmap and psf_scalesub utilities to enable robust image analysis in corgidrp. - Storage of detected sources in FITS header and strengthened tests: Refactored source detection to record detected source information directly in FITS headers and expanded tests for simulation and validation of detections. - Data handling robustness: Hardened data handling and file operations in the data processing pipeline to improve reliability and correctness. - Code cleanup and documentation: Removed plotting from the detection module, clarified documentation to separate data processing from visualization, and improved maintainability. Impact and technical accomplishments: - Increased reliability and traceability of source catalogs, enabling reproducible analyses and easier auditing of results. - Improved pipeline resilience reduces failure modes in data processing and simplifies future maintenance. - Demonstrated strong Python-based image analysis capabilities, PSF-driven workflows, and robust testing/documentation practices. Technologies/skills demonstrated: - Python, image analysis, PSF convolution, FITS headers, data pipelines, testing, and documentation.
March 2025
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary focused on roman-corgi/corgidrp, highlighting key feature delivery, major bug fixes, and overall impact. The work emphasizes business value and technical accomplishments with concrete delivery details.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary focused on roman-corgi/corgidrp, highlighting key feature delivery, major bug fixes, and overall impact. The work emphasizes business value and technical accomplishments with concrete delivery details.
Activity
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Quality Metrics
Correctness88.8%
Maintainability86.6%
Architecture82.4%
Performance79.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
NumPyPythonShell
Technical Skills
AstronomyAstronomy Data ReductionAstronomy Software DevelopmentAstrophysicsAstropyCode CleanupCode ManagementCode QualityCode RefactoringData AnalysisData ManipulationData ProcessingData ReductionData SimulationDocumentation
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