cositools/cosipy
Oct 2024 – May 2026
12 Months active
Languages Used
PythonSQLYAMLJSONJupyter NotebookShellFITSHDF5
Technical Skills
Algorithm TestingAstropyBug FixingCode RefactoringConfiguration ManagementData Analysis
Hiroki Yoneda
PROFILE
Hiroki Yoneda
Over the past year, contributed to the cositools/cosipy repository by developing advanced astrophysical data analysis features, including background estimation, image deconvolution, and exposure mapping. Leveraged Python, Astropy, and Jupyter Notebooks to implement robust algorithms for spectral analysis, extended and point source modeling, and spacecraft attitude exposure calculations. Focused on reliability through comprehensive unit testing, CI/CD integration, and detailed documentation, while refactoring core components for maintainability and extensibility. Addressed data integrity by improving error handling and input validation, and enhanced user workflows with clear tutorials and logging. This work enabled more accurate, scalable, and reproducible research pipelines for the cosipy project.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
75Total
Bugs
4
Commits
75
Features
24
Lines of code
295,319
Activity Months12
Your Network
35 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
May 2026
3 Commits • 1 Features
May 1, 2026Cosipy monthly summary for 2026-05: Delivered foundational background estimation capabilities and reinforced data-analysis reliability. Strengthened CI/CD practices and documentation coverage to accelerate feature releases and maintain quality across the cosipy project. Fixed critical coordinate-handling bugs and added robust input validation, improving data integrity for real-world analyses.
3 Commits • 1 Features
May 1, 2026Cosipy monthly summary for 2026-05: Delivered foundational background estimation capabilities and reinforced data-analysis reliability. Strengthened CI/CD practices and documentation coverage to accelerate feature releases and maintain quality across the cosipy project. Fixed critical coordinate-handling bugs and added robust input validation, improving data integrity for real-world analyses.
May 2026
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for cosipy (cositools/cosipy): Delivered improved documentation for image deconvolution notebooks and clarified onboarding; no major bug fixes were required this month; Impact: improved user guidance, reduced onboarding time, and smoother adoption of image deconvolution workflows; Technologies/skills demonstrated: documentation tooling (ReStructuredText/Sphinx), project organization, and standard Git workflows.
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for cosipy (cositools/cosipy): Delivered improved documentation for image deconvolution notebooks and clarified onboarding; no major bug fixes were required this month; Impact: improved user guidance, reduced onboarding time, and smoother adoption of image deconvolution workflows; Technologies/skills demonstrated: documentation tooling (ReStructuredText/Sphinx), project organization, and standard Git workflows.
March 2026
6 Commits • 3 Features
Mar 1, 2026March 2026 (cositools/cosipy): Delivered core features, improved performance, and strengthened reliability for astrophysical data analysis workflows. Highlights include background estimation enhancements with smoothing, l_cut, and rebin_phi to increase accuracy and flexibility; gradient-based optimizations in the line search accelerator to reduce compute time; and image deconvolution reliability improvements addressing stopping criteria andNotebook labeling for clarity. These changes are supported by targeted tests and demos to ensure reliability. Business value: more accurate background models, faster analyses, and clearer visualizations, enabling researchers to iterate hypotheses more efficiently and deploy robust pipelines.
6 Commits • 3 Features
Mar 1, 2026March 2026 (cositools/cosipy): Delivered core features, improved performance, and strengthened reliability for astrophysical data analysis workflows. Highlights include background estimation enhancements with smoothing, l_cut, and rebin_phi to increase accuracy and flexibility; gradient-based optimizations in the line search accelerator to reduce compute time; and image deconvolution reliability improvements addressing stopping criteria andNotebook labeling for clarity. These changes are supported by targeted tests and demos to ensure reliability. Business value: more accurate background models, faster analyses, and clearer visualizations, enabling researchers to iterate hypotheses more efficiently and deploy robust pipelines.
March 2026
February 2026
7 Commits • 5 Features
Feb 1, 2026February 2026 monthly summary for cosipy (cositools/cosipy). Focused on delivering core features for spectral analysis, improving deconvolution transparency, and strengthening test coverage. Key work centered on introducing background estimation for line spectra, adding parameter_summary logging for image deconvolution, standardizing PriorEntropy naming and enhancing documentation, refactoring logging across deconvolution modules, and delivering a comprehensive unit test suite for image deconvolution algorithms (MaxStep and LineSearch). Key deliverables include: - Background estimation for line spectra implemented via LineSearchAccelerator to improve spectral accuracy (commit 3a89cf21f3f96fc92bb247b917824aec40d1ba87). - Parameter summary logging added for image deconvolution to improve transparency and debugging (commit a97427c79481c5a80ac357f209471a0c89c87077). - PriorEntropy naming consistency and documentation updates: rename prior_map to reference_map, align test inputs, and add docstrings (commits 78b9bdaf11cce3617692564a9cf2055fd1f7218a; 32d92860ed16debe0567331e4cb77fa19c5da727; cabf3983cee8ab3e6568eac0de1e686756e89791). - Logging refactor for image deconvolution modules to standardize log output and improve maintainability (commit 7659622ee6865d255b6f06452c5484505df4f2f2). - Unit test suite for image deconvolution algorithms (MaxStep and LineSearch) expanded to validate background normalization and different stopping criteria (commit 5c456a86c7a237b79f10a8bbe2548e08c27b4e22).
February 2026
7 Commits • 5 Features
Feb 1, 2026February 2026 monthly summary for cosipy (cositools/cosipy). Focused on delivering core features for spectral analysis, improving deconvolution transparency, and strengthening test coverage. Key work centered on introducing background estimation for line spectra, adding parameter_summary logging for image deconvolution, standardizing PriorEntropy naming and enhancing documentation, refactoring logging across deconvolution modules, and delivering a comprehensive unit test suite for image deconvolution algorithms (MaxStep and LineSearch). Key deliverables include: - Background estimation for line spectra implemented via LineSearchAccelerator to improve spectral accuracy (commit 3a89cf21f3f96fc92bb247b917824aec40d1ba87). - Parameter summary logging added for image deconvolution to improve transparency and debugging (commit a97427c79481c5a80ac357f209471a0c89c87077). - PriorEntropy naming consistency and documentation updates: rename prior_map to reference_map, align test inputs, and add docstrings (commits 78b9bdaf11cce3617692564a9cf2055fd1f7218a; 32d92860ed16debe0567331e4cb77fa19c5da727; cabf3983cee8ab3e6568eac0de1e686756e89791). - Logging refactor for image deconvolution modules to standardize log output and improve maintainability (commit 7659622ee6865d255b6f06452c5484505df4f2f2). - Unit test suite for image deconvolution algorithms (MaxStep and LineSearch) expanded to validate background normalization and different stopping criteria (commit 5c456a86c7a237b79f10a8bbe2548e08c27b4e22).
January 2026
1 Commits
Jan 1, 2026January 2026: Focused on increasing reliability and data quality in cosipy by hardening the pointing averaging path against zero livetime. Delivered a targeted refactor to gracefully handle all-zero livetime in _get_averaged_pointing, improving error handling, logging, and downstream data products. The change reduces false error signals in automated pipelines and enhances maintainability through clearer logs.
1 Commits
Jan 1, 2026January 2026: Focused on increasing reliability and data quality in cosipy by hardening the pointing averaging path against zero livetime. Delivered a targeted refactor to gracefully handle all-zero livetime in _get_averaged_pointing, improving error handling, logging, and downstream data products. The change reduces false error signals in automated pipelines and enhances maintainability through clearer logs.
January 2026
November 2025
13 Commits • 4 Features
Nov 1, 2025November 2025 monthly summary for cosipy (cositools/cosipy). Core work focused on securing long-term maintainability and extending analytical capabilities for exposure data and astrophysical modeling. Key architectural overhaul of the exposure table system introduced a base class with refactoring across interdependent components and tests, setting the stage for easier extension and more robust data handling. Implemented Earth occultation support in exposure time maps to improve exposure accuracy for observed fields. Enabled time-resolved exposure analysis and enhanced deconvolution workflows (TimeBinnedExposureTable, updated notebooks, and logging improvements) to support richer temporal studies. Extended AllSkyImageModel with a total_flux method to enable per-energy-bin flux analyses. These changes collectively improve reliability, analytical precision, and developer productivity, while preserving backward compatibility where feasible.
November 2025
13 Commits • 4 Features
Nov 1, 2025November 2025 monthly summary for cosipy (cositools/cosipy). Core work focused on securing long-term maintainability and extending analytical capabilities for exposure data and astrophysical modeling. Key architectural overhaul of the exposure table system introduced a base class with refactoring across interdependent components and tests, setting the stage for easier extension and more robust data handling. Implemented Earth occultation support in exposure time maps to improve exposure accuracy for observed fields. Enabled time-resolved exposure analysis and enhanced deconvolution workflows (TimeBinnedExposureTable, updated notebooks, and logging improvements) to support richer temporal studies. Extended AllSkyImageModel with a total_flux method to enable per-energy-bin flux analyses. These changes collectively improve reliability, analytical precision, and developer productivity, while preserving backward compatibility where feasible.
October 2025
12 Commits • 1 Features
Oct 1, 2025October 2025 (2025-10) performance summary for cosipy (cositools/cosipy). Delivered substantial enhancements to spacecraft attitude exposure and Earth occultation exposure mapping, including data model extensions, exposure calculations, and end-to-end support for binning, visualization, and testing. Strengthened reliability through focused bug fixes and test coverage, establishing a scalable foundation for future exposure-mapping work and more accurate data products for mission planning and science analysis.
12 Commits • 1 Features
Oct 1, 2025October 2025 (2025-10) performance summary for cosipy (cositools/cosipy). Delivered substantial enhancements to spacecraft attitude exposure and Earth occultation exposure mapping, including data model extensions, exposure calculations, and end-to-end support for binning, visualization, and testing. Strengthened reliability through focused bug fixes and test coverage, establishing a scalable foundation for future exposure-mapping work and more accurate data products for mission planning and science analysis.
October 2025
April 2025
9 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for cosipy on cositools/cosipy. This period focused on stabilizing the documentation, increasing the robustness of the LineBackgroundEstimation workflow, and expanding testing and tutorials to align with new capabilities. Key efforts centered on delivering a more flexible energy spectrum fitting experience, improving data quality and consistency in tutorials, and cleaning obsolete content to reduce confusion for users and contributors.
April 2025
9 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for cosipy on cositools/cosipy. This period focused on stabilizing the documentation, increasing the robustness of the LineBackgroundEstimation workflow, and expanding testing and tutorials to align with new capabilities. Key efforts centered on delivering a more flexible energy spectrum fitting experience, improving data quality and consistency in tutorials, and cleaning obsolete content to reduce confusion for users and contributors.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025: Consolidated extended source handling in cosipy with dedicated test coverage and documentation, enabling reliable generation and merging workflows for extended sources. Key outcomes include new unit tests validating FullDetectorResponse handling of extended sources and merging point-source responses, plus example codes and documentation scripts illustrating generation and merging using cosipy. This work improves reliability, accelerates research workflows, and strengthens CI readiness.
2 Commits • 1 Features
Feb 1, 2025February 2025: Consolidated extended source handling in cosipy with dedicated test coverage and documentation, enabling reliable generation and merging workflows for extended sources. Key outcomes include new unit tests validating FullDetectorResponse handling of extended sources and merging point-source responses, plus example codes and documentation scripts illustrating generation and merging using cosipy. This work improves reliability, accelerates research workflows, and strengthens CI readiness.
February 2025
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025: Delivered substantial enhancements to the cosipy repository, focusing on end-to-end extended source analysis and robust point-source handling. Implemented a modular analysis framework, enabling analysts to study extended celestial sources by convolving all-sky detector responses with spacecraft-based exposure maps, and consolidated point-source logic to support both generation and merging of PSR data. Also introduced a reliable pathway to merge pre-computed PSRs from files and fixed a stability issue in initialization to prevent overflow during extended-source processing. These changes reduce manual steps, improve model fidelity, and strengthen the pipeline for future analytics.
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025: Delivered substantial enhancements to the cosipy repository, focusing on end-to-end extended source analysis and robust point-source handling. Implemented a modular analysis framework, enabling analysts to study extended celestial sources by convolving all-sky detector responses with spacecraft-based exposure maps, and consolidated point-source logic to support both generation and merging of PSR data. Also introduced a reliable pathway to merge pre-computed PSRs from files and fixed a stability issue in initialization to prevent overflow during extended-source processing. These changes reduce manual steps, improve model fidelity, and strengthen the pipeline for future analytics.
November 2024
2 Commits • 2 Features
Nov 1, 2024November 2024 highlights improvements in observability and model safety for the cosipy repository (cositools/cosipy). Key features delivered include enhanced visibility into image deconvolution convergence and safer model behavior across the hierarchy.
2 Commits • 2 Features
Nov 1, 2024November 2024 highlights improvements in observability and model safety for the cosipy repository (cositools/cosipy). Key features delivered include enhanced visibility into image deconvolution convergence and safer model behavior across the hierarchy.
November 2024
October 2024
15 Commits • 3 Features
Oct 1, 2024October 2024 highlights for cosipy (cositools/cosipy): delivered key features, improved robustness, and expanded test coverage, driving stronger business value through reliable spectral analysis and maintainable code.
October 2024
15 Commits • 3 Features
Oct 1, 2024October 2024 highlights for cosipy (cositools/cosipy): delivered key features, improved robustness, and expanded test coverage, driving stronger business value through reliable spectral analysis and maintainable code.
Activity
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Quality Metrics
Correctness89.2%
Maintainability87.0%
Architecture84.2%
Performance80.8%
AI Usage24.2%
Skills & Technologies
Programming Languages
FITSHDF5JSONJupyter NotebookPythonSQLShellYAMLreStructuredText
Technical Skills
Algorithm TestingAstronomy SoftwareAstrophysicsAstropyBug FixingClass Method RemovalCode RefactoringConfiguration ManagementCosipy LibraryData AnalysisData HandlingData ProcessingData ValidationData VisualizationDocumentation
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline