HarrisonKramer/optiland
Nov 2024 – Feb 2026
16 Months active
Languages Used
GitJSONJupyter NotebookMarkdownNumPyPythonRSTTOML
Technical Skills
Bug FixCode ClarityCode CleanupCode CoverageCode OrganizationCode Readability
Kramer
PROFILE
Kramer
Daniel Harrison developed and maintained the Optiland repository, delivering a robust optical simulation and design platform. He architected modular geometry, ray tracing, and analysis frameworks using Python, NumPy, and PyTorch, enabling accurate modeling of complex optical systems. His work included backend-agnostic computation, advanced surface and material handling, and extensible optimization algorithms, all supported by comprehensive unit testing and continuous integration. Harrison emphasized maintainability through code refactoring, detailed documentation, and scalable APIs, while also implementing a modern GUI and image simulation tools. The depth of engineering addressed performance, reliability, and usability, supporting both research and production optical workflows.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
934Total
Bugs
113
Commits
934
Features
312
Lines of code
161,725
Activity Months16
Your Network
11 people
Work History
February 2026
10 Commits • 6 Features
Feb 1, 2026February 2026 Optiland monthly summary: Delivered foundational enhancements to optical design tooling, expanded optimization capabilities, improved documentation, and strengthened testing and hardware compatibility. These changes enable scalable geometry handling, advanced curvature solving, and wavefront analysis for afocal systems, while improving reliability and contributor onboarding.
10 Commits • 6 Features
Feb 1, 2026February 2026 Optiland monthly summary: Delivered foundational enhancements to optical design tooling, expanded optimization capabilities, improved documentation, and strengthened testing and hardware compatibility. These changes enable scalable geometry handling, advanced curvature solving, and wavefront analysis for afocal systems, while improving reliability and contributor onboarding.
February 2026
January 2026
4 Commits • 2 Features
Jan 1, 2026January 2026 — HarrisonKramer/optiland: Delivered key capabilities and improvements driving simulation accuracy and reliability. Highlights include a new Buchdahl AbbeMaterial model with documentation and notebooks, a major unit-conversion bug fix in the phase interaction model, and expanded test coverage for core modules reaching >90%. These efforts deliver tangible business value through improved material representation, more reliable core systems, and accelerated onboarding for users and contributors.
January 2026
4 Commits • 2 Features
Jan 1, 2026January 2026 — HarrisonKramer/optiland: Delivered key capabilities and improvements driving simulation accuracy and reliability. Highlights include a new Buchdahl AbbeMaterial model with documentation and notebooks, a major unit-conversion bug fix in the phase interaction model, and expanded test coverage for core modules reaching >90%. These efforts deliver tangible business value through improved material representation, more reliable core systems, and accelerated onboarding for users and contributors.
December 2025
8 Commits • 5 Features
Dec 1, 2025December 2025 (Month 2025-12): Delivered a cohesive set of optical-system improvements in HarrisonKramer/optiland that expand modeling flexibility, improve performance, and enhance reliability. Key business value: faster iteration for lens configurations, richer image simulation capabilities, and robust behavior across environments. Highlights across the month include new field types, modular and cached ray aiming, comprehensive image simulation with variable blur, distortion, and color effects, multi-configuration support, and wide-angle lens documentation/tests. A notable reliability improvement was added to handle environments without Torch, preventing test-time failures.
8 Commits • 5 Features
Dec 1, 2025December 2025 (Month 2025-12): Delivered a cohesive set of optical-system improvements in HarrisonKramer/optiland that expand modeling flexibility, improve performance, and enhance reliability. Key business value: faster iteration for lens configurations, richer image simulation capabilities, and robust behavior across environments. Highlights across the month include new field types, modular and cached ray aiming, comprehensive image simulation with variable blur, distortion, and color effects, multi-configuration support, and wide-angle lens documentation/tests. A notable reliability improvement was added to handle environments without Torch, preventing test-time failures.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025Month 2025-11: Concise monthly summary focusing on key accomplishments. No major bugs reported this month. The primary deliverable was a feature improvement to the PhaseInteractionModel enabling curved surfaces and 3D gradient, expanding Optiland's modeling capabilities and accuracy.
November 2025
1 Commits • 1 Features
Nov 1, 2025Month 2025-11: Concise monthly summary focusing on key accomplishments. No major bugs reported this month. The primary deliverable was a feature improvement to the PhaseInteractionModel enabling curved surfaces and 3D gradient, expanding Optiland's modeling capabilities and accuracy.
October 2025
16 Commits • 6 Features
Oct 1, 2025October 2025 monthly performance highlights for HarrisonKramer/optiland. Delivered strategic features to enhance accuracy, flexibility, and user experience, while stabilizing core simulations and improving data integrity. Key outcomes include a pluggable propagation model system, a Grid Sag geometry framework for freeform surfaces, backend-agnostic Huygens PSF, GUI architecture overhaul, and an advanced visualization theming system. Also fixed critical ray-tracing issues and ensured robust serialization/material linkage to maintain consistent results. Governance and documentation improvements support onboarding and contributor engagement. These efforts collectively reduce time-to-value for users, increase simulation reliability, and enable easier extension of the rendering and ray-tracing pipeline.
16 Commits • 6 Features
Oct 1, 2025October 2025 monthly performance highlights for HarrisonKramer/optiland. Delivered strategic features to enhance accuracy, flexibility, and user experience, while stabilizing core simulations and improving data integrity. Key outcomes include a pluggable propagation model system, a Grid Sag geometry framework for freeform surfaces, backend-agnostic Huygens PSF, GUI architecture overhaul, and an advanced visualization theming system. Also fixed critical ray-tracing issues and ensured robust serialization/material linkage to maintain consistent results. Governance and documentation improvements support onboarding and contributor engagement. These efforts collectively reduce time-to-value for users, increase simulation reliability, and enable easier extension of the rendering and ray-tracing pipeline.
October 2025
September 2025
22 Commits • 11 Features
Sep 1, 2025September 2025 was focused on delivering high-value features, improving numerical stability, and tightening the developer experience for HarrisonKramer/optiland. The month delivered spectral weighting improvements, modular refactors to increase maintainability and performance, and targeted bug fixes that improved accuracy in aberration calculations, rendering, and file loading. Documentation and examples were expanded to accelerate adoption and on-boarding for new users, while housekeeping improvements reduced technical debt and prepared the codebase for future work.
September 2025
22 Commits • 11 Features
Sep 1, 2025September 2025 was focused on delivering high-value features, improving numerical stability, and tightening the developer experience for HarrisonKramer/optiland. The month delivered spectral weighting improvements, modular refactors to increase maintainability and performance, and targeted bug fixes that improved accuracy in aberration calculations, rendering, and file loading. Documentation and examples were expanded to accelerate adoption and on-boarding for new users, while housekeeping improvements reduced technical debt and prepared the codebase for future work.
August 2025
45 Commits • 23 Features
Aug 1, 2025August 2025 highlights for HarrisonKramer/optiland: delivered release readiness, a foundational Wavefront module refactor, and a suite of capabilities and reliability improvements that advance simulation accuracy and team velocity. Release housekeeping included moving to 0.5.6, dropping Python 3.9 support, updating lockfiles, and enforcing formatting, enabling a cleaner upgrade path for users. Core code improvements modernized the Wavefront module and laid groundwork for future features. A Generic Wavefront Error Calculation Strategy standardized error metrics across components, improving measurement consistency and comparability. Key business value delivered: more accurate optical simulations, faster iteration cycles, and a clear upgrade path with modern dependencies, while reducing technical debt and improving testability and documentation quality.
45 Commits • 23 Features
Aug 1, 2025August 2025 highlights for HarrisonKramer/optiland: delivered release readiness, a foundational Wavefront module refactor, and a suite of capabilities and reliability improvements that advance simulation accuracy and team velocity. Release housekeeping included moving to 0.5.6, dropping Python 3.9 support, updating lockfiles, and enforcing formatting, enabling a cleaner upgrade path for users. Core code improvements modernized the Wavefront module and laid groundwork for future features. A Generic Wavefront Error Calculation Strategy standardized error metrics across components, improving measurement consistency and comparability. Key business value delivered: more accurate optical simulations, faster iteration cycles, and a clear upgrade path with modern dependencies, while reducing technical debt and improving testability and documentation quality.
August 2025
July 2025
16 Commits • 7 Features
Jul 1, 2025July 2025 monthly performance highlights for HarrisonKramer/optiland focusing on delivering business value through robust simulation features, a modern GUI, expanded analysis capabilities, and strong maintainability. The work improved accuracy of optical modeling, streamlined user workflows, and reinforced software quality through tests and thorough documentation.
July 2025
16 Commits • 7 Features
Jul 1, 2025July 2025 monthly performance highlights for HarrisonKramer/optiland focusing on delivering business value through robust simulation features, a modern GUI, expanded analysis capabilities, and strong maintainability. The work improved accuracy of optical modeling, streamlined user workflows, and reinforced software quality through tests and thorough documentation.
June 2025
15 Commits • 5 Features
Jun 1, 2025June 2025 highlights for HarrisonKramer/optiland: delivered major features enabling more accurate modeling, streamlined analysis, and improved release readiness; enhanced robustness and maintainability through architecture refactors; and expanded documentation to improve tool adoption. Key outcomes include a suite of surface management improvements, a unified MTF analysis framework with ThroughFocusMTF, and new capabilities such as surface flip, plus a refactored solves package. Major bugs fixed include robustness improvements in optics geometry and plotting, corrected distortion calculations, expanded symmetry checks, and normalization fixes to prevent division-by-zero in field coordinates. These changes collectively improve modeling fidelity, reliability, and maintainability, enabling faster iteration and broader adoption of Optiland in optical design workflows. Technologies and skills demonstrated include Python refactoring for maintainability (BaseAnalysis patterns, absolute imports), FFT-based MTF analysis, comprehensive unit testing, improved coordinate system handling, and documentation-driven onboarding.
15 Commits • 5 Features
Jun 1, 2025June 2025 highlights for HarrisonKramer/optiland: delivered major features enabling more accurate modeling, streamlined analysis, and improved release readiness; enhanced robustness and maintainability through architecture refactors; and expanded documentation to improve tool adoption. Key outcomes include a suite of surface management improvements, a unified MTF analysis framework with ThroughFocusMTF, and new capabilities such as surface flip, plus a refactored solves package. Major bugs fixed include robustness improvements in optics geometry and plotting, corrected distortion calculations, expanded symmetry checks, and normalization fixes to prevent division-by-zero in field coordinates. These changes collectively improve modeling fidelity, reliability, and maintainability, enabling faster iteration and broader adoption of Optiland in optical design workflows. Technologies and skills demonstrated include Python refactoring for maintainability (BaseAnalysis patterns, absolute imports), FFT-based MTF analysis, comprehensive unit testing, improved coordinate system handling, and documentation-driven onboarding.
June 2025
May 2025
50 Commits • 26 Features
May 1, 2025May 2025 delivered stability and feature enhancements for OptiLand, focusing on backend migration, expanded differentiable rendering capabilities, and improved documentation for faster onboarding. Key outcomes include migrating core NumPy calculations to the Backend, adding Differentiable Ray Tracing (DRT) examples and a DRT section in the gallery, and broadening the geometry and rendering toolset with biconic geometry, a geometry flip method, Huygens PSF support, through-focus spot diagram, and sampled MTF, plus critical correctness fixes and documentation updates. These changes improve numerical stability, performance portability, and developer experience, enabling faster feature iteration and clearer guidance for users.
May 2025
50 Commits • 26 Features
May 1, 2025May 2025 delivered stability and feature enhancements for OptiLand, focusing on backend migration, expanded differentiable rendering capabilities, and improved documentation for faster onboarding. Key outcomes include migrating core NumPy calculations to the Backend, adding Differentiable Ray Tracing (DRT) examples and a DRT section in the gallery, and broadening the geometry and rendering toolset with biconic geometry, a geometry flip method, Huygens PSF support, through-focus spot diagram, and sampled MTF, plus critical correctness fixes and documentation updates. These changes improve numerical stability, performance portability, and developer experience, enabling faster feature iteration and clearer guidance for users.
April 2025
146 Commits • 50 Features
Apr 1, 2025April 2025 monthly summary for HarrisonKramer/optiland focusing on delivering modular surface handling, robust backend architecture, and cross-backend readiness (NumPy/PyTorch). The month included API refactors, back-end scaffolding, extensive test infrastructure, and targeted bug fixes to improve reliability, performance, and documentation.
146 Commits • 50 Features
Apr 1, 2025April 2025 monthly summary for HarrisonKramer/optiland focusing on delivering modular surface handling, robust backend architecture, and cross-backend readiness (NumPy/PyTorch). The month included API refactors, back-end scaffolding, extensive test infrastructure, and targeted bug fixes to improve reliability, performance, and documentation.
April 2025
March 2025
23 Commits • 11 Features
Mar 1, 2025March 2025 highlights for HarrisonKramer/optiland: Delivered core ParaxialSurface serialization/deserialization to enable persistence and data exchange; expanded ParaxialSurface test coverage to validate functionality and instance creation; added RealRays normalization tests to ensure correctness during propagation and manual normalization; refactored the optics stack (Optic module and Zernike) with improvements that enhance performance and API clarity, and laid groundwork for combining optics; extended platform support with Python 3.13 compatibility and code style improvements including pyproject.toml formatting fix. These changes collectively improve reliability, maintainability, and cross-team collaboration while accelerating feature delivery and onboarding.
March 2025
23 Commits • 11 Features
Mar 1, 2025March 2025 highlights for HarrisonKramer/optiland: Delivered core ParaxialSurface serialization/deserialization to enable persistence and data exchange; expanded ParaxialSurface test coverage to validate functionality and instance creation; added RealRays normalization tests to ensure correctness during propagation and manual normalization; refactored the optics stack (Optic module and Zernike) with improvements that enhance performance and API clarity, and laid groundwork for combining optics; extended platform support with Python 3.13 compatibility and code style improvements including pyproject.toml formatting fix. These changes collectively improve reliability, maintainability, and cross-team collaboration while accelerating feature delivery and onboarding.
February 2025
67 Commits • 17 Features
Feb 1, 2025February 2025 performance summary for HarrisonKramer/optiland: Delivered geometry-aware ParaxialSurface with a geometry parameter and integrated normalization logic into SurfaceFactory, enabling more accurate ray propagation and optical path length calculations. Introduced and validated optimization algorithms SHGO and Basin Hopping, with associated unit tests and updates to the OptimizationProblem tests to support robust global design optimization. Refactored serialization to BaseMaterial, aligning to_dict/from_dict implementations across materials and improving consistency and maintainability. Expanded unit test coverage across core modules for operand bounds, delta calculations, from_dict/to_dict methods, paraxial positioning, and non-symmetric lens view, accompanied by targeted bug fixes. Strengthened project hygiene and documentation: Codecov configuration, GitHub Actions workflow for closing inactive issues, bounded operands example in docs, RTD learning guide updates, Zernike/API documentation improvements, physical apertures feature, and version bumps to 0.2.6 and 0.3.0.
67 Commits • 17 Features
Feb 1, 2025February 2025 performance summary for HarrisonKramer/optiland: Delivered geometry-aware ParaxialSurface with a geometry parameter and integrated normalization logic into SurfaceFactory, enabling more accurate ray propagation and optical path length calculations. Introduced and validated optimization algorithms SHGO and Basin Hopping, with associated unit tests and updates to the OptimizationProblem tests to support robust global design optimization. Refactored serialization to BaseMaterial, aligning to_dict/from_dict implementations across materials and improving consistency and maintainability. Expanded unit test coverage across core modules for operand bounds, delta calculations, from_dict/to_dict methods, paraxial positioning, and non-symmetric lens view, accompanied by targeted bug fixes. Strengthened project hygiene and documentation: Codecov configuration, GitHub Actions workflow for closing inactive issues, bounded operands example in docs, RTD learning guide updates, Zernike/API documentation improvements, physical apertures feature, and version bumps to 0.2.6 and 0.3.0.
February 2025
January 2025
152 Commits • 38 Features
Jan 1, 2025In 2025-01, Optiland advanced documentation, API stability, geometry modeling, and release readiness to deliver clear business value and a smoother developer experience. Focus areas included documentation quality, release preparation, API surface improvements, and expanded test coverage across Zemax integration and geometry modules.
January 2025
152 Commits • 38 Features
Jan 1, 2025In 2025-01, Optiland advanced documentation, API stability, geometry modeling, and release readiness to deliver clear business value and a smoother developer experience. Focus areas included documentation quality, release preparation, API surface improvements, and expanded test coverage across Zemax integration and geometry modules.
December 2024
299 Commits • 85 Features
Dec 1, 2024December 2024 performance summary for HarrisonKramer/optiland: Key features delivered: - PickupManager: initial implementation to manage pickups on optic surfaces; replaced Pickup with PickupManager; added __len__, clear method, length retrieval, and API improvements; updated tests and tutorials. - SolveManager: new manager for solves on optics; integrated with Optic class; added clear method; refactored SolveFactory usage; updated tests. - RMS analysis and pupil work: introduced RmsSpotSizeVsField (renamed for consistency to RmsSpotSizeVsField) and RmsWavefrontErrorVsField; added PupilAberration class; integrated analyses and tests; documentation examples updated. - Ring distribution and 3D optics: added RingDistribution class for ring-based point generation; enhanced OpticViewer3D with dark mode, more rays, and ring distribution; updated docstrings and visuals. - Optic IO and dictionary serialization: added Optic from_dict and to_dict, version key in dictionary representation, and JSON load/save paths; introduced load_optiland_file/save_optiland_file and related imports; improved packaging and Zemax reader imports. - Release and documentation: bumped version to 0.2.0; updated docs and tutorials; improved API reference structure and developer guide; added numerous unit tests for serialization, geometry, materials, and optics. Major bugs fixed: - Ray generation: fixed vignetting factor handling; simplified calculation and aligned tests. - Optic serialization and coefficients: corrected numpy array comparisons and offset calculations; stabilized dict key ordering. - Coordinate handling: ensured CoordinateSystem values are floats; integrated CoordinateSystem across from_dicts; fixed imports for Zemax readers; decimal comma handling in Zemax reader. - IO and paths: fixed ZemaxFileReader import paths; clarified load/save naming in Optiland IO; resolved module renames and accessibility issues. - Tests and tolerances: updated geometry and from_dict tests; improved test assertions for multiple core components. Overall impact and accomplishments: - Established a robust, scalable architecture for optical system modeling with dedicated managers (PickupManager, SolveManager, OperandManager, VariableManager) and comprehensive dictionary-based serialization, enabling reliable persistence and interchange. - Accelerated development workflow and collaboration through clearer APIs, enhanced test coverage, and consistent documentation across modules. - Improved release readiness and business value via significant versioning, packaging improvements, CI updates, and an extensive suite of unit tests, reducing regression risk for future releases. Technologies/skills demonstrated: - Python OOP design and refactoring (manager patterns), numpy data handling, and robust serialization (to_dict/from_dict). - Comprehensive unit testing and test-driven enhancements across core components. - CI/CD updates, packaging refinements, and Python packaging best practices. - Documentation tooling and API reference improvements (Sphinx/autodoc, autosummary) and developer guide enhancements. - Cross-module integration with Zemax file handling, JSON IO, and data interchange formats.
299 Commits • 85 Features
Dec 1, 2024December 2024 performance summary for HarrisonKramer/optiland: Key features delivered: - PickupManager: initial implementation to manage pickups on optic surfaces; replaced Pickup with PickupManager; added __len__, clear method, length retrieval, and API improvements; updated tests and tutorials. - SolveManager: new manager for solves on optics; integrated with Optic class; added clear method; refactored SolveFactory usage; updated tests. - RMS analysis and pupil work: introduced RmsSpotSizeVsField (renamed for consistency to RmsSpotSizeVsField) and RmsWavefrontErrorVsField; added PupilAberration class; integrated analyses and tests; documentation examples updated. - Ring distribution and 3D optics: added RingDistribution class for ring-based point generation; enhanced OpticViewer3D with dark mode, more rays, and ring distribution; updated docstrings and visuals. - Optic IO and dictionary serialization: added Optic from_dict and to_dict, version key in dictionary representation, and JSON load/save paths; introduced load_optiland_file/save_optiland_file and related imports; improved packaging and Zemax reader imports. - Release and documentation: bumped version to 0.2.0; updated docs and tutorials; improved API reference structure and developer guide; added numerous unit tests for serialization, geometry, materials, and optics. Major bugs fixed: - Ray generation: fixed vignetting factor handling; simplified calculation and aligned tests. - Optic serialization and coefficients: corrected numpy array comparisons and offset calculations; stabilized dict key ordering. - Coordinate handling: ensured CoordinateSystem values are floats; integrated CoordinateSystem across from_dicts; fixed imports for Zemax readers; decimal comma handling in Zemax reader. - IO and paths: fixed ZemaxFileReader import paths; clarified load/save naming in Optiland IO; resolved module renames and accessibility issues. - Tests and tolerances: updated geometry and from_dict tests; improved test assertions for multiple core components. Overall impact and accomplishments: - Established a robust, scalable architecture for optical system modeling with dedicated managers (PickupManager, SolveManager, OperandManager, VariableManager) and comprehensive dictionary-based serialization, enabling reliable persistence and interchange. - Accelerated development workflow and collaboration through clearer APIs, enhanced test coverage, and consistent documentation across modules. - Improved release readiness and business value via significant versioning, packaging improvements, CI updates, and an extensive suite of unit tests, reducing regression risk for future releases. Technologies/skills demonstrated: - Python OOP design and refactoring (manager patterns), numpy data handling, and robust serialization (to_dict/from_dict). - Comprehensive unit testing and test-driven enhancements across core components. - CI/CD updates, packaging refinements, and Python packaging best practices. - Documentation tooling and API reference improvements (Sphinx/autodoc, autosummary) and developer guide enhancements. - Cross-module integration with Zemax file handling, JSON IO, and data interchange formats.
December 2024
November 2024
60 Commits • 19 Features
Nov 1, 2024November 2024 — Optiland: Refactors to improve correctness and maintainability; expanded test coverage; and documentation updates that improve usability and release readiness. Key work included: PSF calculation/FFTPSF handling refactor for clearer logic and robustness; OperandRegistry/Operand class refactor with name alignment and import updates plus new overwrite option; broad test suite enhancements across optics, geometry, and visualization; critical bugs fixed in surface tracing (now returns rays) and conic attribute handling; comprehensive docs/tutorial updates with links for custom coating types and user-defined optimization metrics, plus a library version bump. Also added code quality improvements (pragma no cover, removal of unused decorators) and repo housekeeping (ignore gui directory).
November 2024
60 Commits • 19 Features
Nov 1, 2024November 2024 — Optiland: Refactors to improve correctness and maintainability; expanded test coverage; and documentation updates that improve usability and release readiness. Key work included: PSF calculation/FFTPSF handling refactor for clearer logic and robustness; OperandRegistry/Operand class refactor with name alignment and import updates plus new overwrite option; broad test suite enhancements across optics, geometry, and visualization; critical bugs fixed in surface tracing (now returns rays) and conic attribute handling; comprehensive docs/tutorial updates with links for custom coating types and user-defined optimization metrics, plus a library version bump. Also added code quality improvements (pragma no cover, removal of unused decorators) and repo housekeeping (ignore gui directory).
Activity
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Quality Metrics
Correctness95.8%
Maintainability95.8%
Architecture93.6%
Performance91.6%
AI Usage21.2%
Skills & Technologies
Programming Languages
BashC++CSSCSVCythonGitGit ConfigurationIPython NotebookJSONJinja
Technical Skills
3D Plotting3D Rendering3D VisualizationAI-Assisted DevelopmentAPI DesignAPI DevelopmentAPI DocumentationAPI IntegrationAPI UpdateAPI UsageAbstract Base ClassesAlgorithm DevelopmentAlgorithm OptimizationArray ManipulationAsset Management
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