litebird/litebird_sim
Mar 2025 – Oct 2025
7 Months active
Languages Used
PythonreStructuredTextJupyter NotebookNumPyYAMLMarkdown
Technical Skills
AstrophysicsAstrophysics SimulationCode FormattingCode RefactoringData AnalysisData Simulation
mj-gomes
PROFILE
Mj-gomes
Miguel Gomes developed and maintained core simulation features for the litebird/litebird_sim repository, focusing on Half-Wave Plate (HWP) system modeling and mapmaking workflows. He refactored and extended Python code to improve simulation fidelity, introducing MPI-based parallelism, Enum-based type safety, and robust data handling for astrophysical observations. His work included integrating Instrumental Model definitions, enhancing test coverage, and restructuring modules for maintainability. By leveraging Python, NumPy, and Jupyter Notebooks, Miguel enabled reproducible, Colab-ready workflows and streamlined onboarding. His contributions addressed both feature development and bug fixes, resulting in a more reliable, maintainable, and extensible scientific simulation package for the LiteBIRD mission.
Overall Statistics
Feature vs Bugs
59%Features
Repository Contributions
38Total
Bugs
9
Commits
38
Features
13
Lines of code
6,911
Activity Months7
Work History
October 2025
6 Commits • 3 Features
Oct 1, 2025Month: 2025-10 | Repository: litebird/litebird_sim | This cycle delivered a leaner, safer map-generation workflow and a refreshed HWP framework, with targeted bug fixes to improve correctness and documentation. Major architectural improvements include removing the experimental on-the-fly map creation (deprecated build_map_on_the_fly and nside_out), refactoring the formalism parameter to an Enum (Calc) for safer API usage, and refurbishing HWP handling with map scanning unification. Supporting fixes corrected assertion messaging for Mueller formalism, aligned HWP difference handling, and cleaned up CHANGELOG typos. Commits across the work include: ff1e6ced734143a1fda9fe345a8fb9088774e37e; c4d3a05761084f58cd7b5464cf384782276b464a; 305a97a1252f9761bf2af7e66ac0193d18dee709; 8fa5d7240cd6968eb9a8c39965f8f8c02409b156; 67cc0f383e50693779e8f131222975f62e876881; a3b4e9e42b8eab44bd799c99cc4ebe5a70b7ff1d (CHANGELOG typo fix).
6 Commits • 3 Features
Oct 1, 2025Month: 2025-10 | Repository: litebird/litebird_sim | This cycle delivered a leaner, safer map-generation workflow and a refreshed HWP framework, with targeted bug fixes to improve correctness and documentation. Major architectural improvements include removing the experimental on-the-fly map creation (deprecated build_map_on_the_fly and nside_out), refactoring the formalism parameter to an Enum (Calc) for safer API usage, and refurbishing HWP handling with map scanning unification. Supporting fixes corrected assertion messaging for Mueller formalism, aligned HWP difference handling, and cleaned up CHANGELOG typos. Commits across the work include: ff1e6ced734143a1fda9fe345a8fb9088774e37e; c4d3a05761084f58cd7b5464cf384782276b464a; 305a97a1252f9761bf2af7e66ac0193d18dee709; 8fa5d7240cd6968eb9a8c39965f8f8c02409b156; 67cc0f383e50693779e8f131222975f62e876881; a3b4e9e42b8eab44bd799c99cc4ebe5a70b7ff1d (CHANGELOG typo fix).
October 2025
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for litebird/litebird_sim focusing on HWP modeling improvements and maintainability. Implemented non-ideal Half-Wave Plate (HWP) handling with enhanced simulation capabilities, reorganized HWP-related code into a dedicated hwp module, and updated import paths to improve maintainability and future extensibility. Addressed integration/import issues uncovered during the refactor and laid groundwork for additional HWP features. These changes improve simulation fidelity for astronomical observations and enable faster scenario testing for instrument performance planning.
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for litebird/litebird_sim focusing on HWP modeling improvements and maintainability. Implemented non-ideal Half-Wave Plate (HWP) handling with enhanced simulation capabilities, reorganized HWP-related code into a dedicated hwp module, and updated import paths to improve maintainability and future extensibility. Addressed integration/import issues uncovered during the refactor and laid groundwork for additional HWP features. These changes improve simulation fidelity for astronomical observations and enable faster scenario testing for instrument performance planning.
July 2025
3 Commits • 2 Features
Jul 1, 2025July 2025 (2025-07) monthly summary for litebird/litebird_sim: This period focused on establishing a robust foundation for HWP system simulations and enabling collaboration via a Colab-ready notebook. Key deliverables include (1) HWP System Optimization Groundwork to improve cosine-term retrieval by computing them directly from the HWP angle, with TODOs identified for future enhancements (hwp_sys.py); commits: 27175e2d33b0b73754aedca974a4dba7b662f40f and b42aeaf6309b9fe4878dca41ef6e4add190e71c4. (2) HWP System Notebook Reintroduction and Colab-ready Demo, reintroducing the hwp_sys notebook with Colab compatibility, setup instructions, and a demonstration pipeline for LiteBIRD HWP system simulation (commit: 2bd5008b6e080456759f6adaa89182c8b2fc8a23). No major bug fixes were required this month; emphasis was on feature enablement and reproducible workflows. Business impact includes faster, more scalable HWP simulations, streamlined onboarding for new researchers via Colab demos, and a clearer roadmap for performance optimization. Technologies demonstrated: Python optimization approaches, Jupyter notebooks, Colab compatibility, mapmaking pipeline concepts, and documentation.
3 Commits • 2 Features
Jul 1, 2025July 2025 (2025-07) monthly summary for litebird/litebird_sim: This period focused on establishing a robust foundation for HWP system simulations and enabling collaboration via a Colab-ready notebook. Key deliverables include (1) HWP System Optimization Groundwork to improve cosine-term retrieval by computing them directly from the HWP angle, with TODOs identified for future enhancements (hwp_sys.py); commits: 27175e2d33b0b73754aedca974a4dba7b662f40f and b42aeaf6309b9fe4878dca41ef6e4add190e71c4. (2) HWP System Notebook Reintroduction and Colab-ready Demo, reintroducing the hwp_sys notebook with Colab compatibility, setup instructions, and a demonstration pipeline for LiteBIRD HWP system simulation (commit: 2bd5008b6e080456759f6adaa89182c8b2fc8a23). No major bug fixes were required this month; emphasis was on feature enablement and reproducible workflows. Business impact includes faster, more scalable HWP simulations, streamlined onboarding for new researchers via Colab demos, and a clearer roadmap for performance optimization. Technologies demonstrated: Python optimization approaches, Jupyter notebooks, Colab compatibility, mapmaking pipeline concepts, and documentation.
July 2025
June 2025
8 Commits • 3 Features
Jun 1, 2025June 2025 summary for litebird/litebird_sim: Delivered robustness improvements and accuracy fixes across HWP system data handling in a multi-process environment, expanded test coverage, and improved CI efficiency. Key outcomes include MPI-aware data association corrections, comprehensive MPI-based tests with parallel CI execution, and precision-oriented refactors that enhance data integrity and reproducibility. The work emphasizes reliability of detector parameter matching, robust pointing/angle computations, and clearer documentation to support ongoing development and operational validity.
June 2025
8 Commits • 3 Features
Jun 1, 2025June 2025 summary for litebird/litebird_sim: Delivered robustness improvements and accuracy fixes across HWP system data handling in a multi-process environment, expanded test coverage, and improved CI efficiency. Key outcomes include MPI-aware data association corrections, comprehensive MPI-based tests with parallel CI execution, and precision-oriented refactors that enhance data integrity and reproducibility. The work emphasizes reliability of detector parameter matching, robust pointing/angle computations, and clearer documentation to support ongoing development and operational validity.
May 2025
5 Commits • 1 Features
May 1, 2025May 2025 Monthly Summary for litebird_sim focusing on business value and technical merit. Delivered key enhancements to the HWP system notebook with Mueller matrix interpolation and Instrumental Model (IMO) integration, improving simulation fidelity and aligning setups with IMO-defined instrument definitions. Fixed stability and reliability issues in HWP system tests and notebooks, broadening test coverage for multiple observations and restoring runnable examples. Result: more accurate design validation, reduced test flakiness, and smoother collaboration with instrument modeling.
5 Commits • 1 Features
May 1, 2025May 2025 Monthly Summary for litebird_sim focusing on business value and technical merit. Delivered key enhancements to the HWP system notebook with Mueller matrix interpolation and Instrumental Model (IMO) integration, improving simulation fidelity and aligning setups with IMO-defined instrument definitions. Fixed stability and reliability issues in HWP system tests and notebooks, broadening test coverage for multiple observations and restoring runnable examples. Result: more accurate design validation, reduced test flakiness, and smoother collaboration with instrument modeling.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 focused on readability and maintainability improvements in litebird_sim through a targeted variable naming refactor in the HWP system simulation. No functional changes introduced; this work lays groundwork for safer future enhancements and faster onboarding.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 focused on readability and maintainability improvements in litebird_sim through a targeted variable naming refactor in the HWP system simulation. No functional changes introduced; this work lays groundwork for safer future enhancements and faster onboarding.
March 2025
13 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for litebird_sim focusing on key features, bug fixes, and impact for the business and engineering goals. The team delivered two major feature areas related to HWP system simulation and pointing/beam handling, with a strong emphasis on precision, test coverage, and API usability.
13 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for litebird_sim focusing on key features, bug fixes, and impact for the business and engineering goals. The team delivered two major feature areas related to HWP system simulation and pointing/beam handling, with a strong emphasis on precision, test coverage, and API usability.
March 2025
Activity
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Quality Metrics
Correctness89.6%
Maintainability90.8%
Architecture88.0%
Performance81.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownNumPyPythonYAMLreStructuredText
Technical Skills
AstrophysicsAstrophysics SimulationBug FixBug FixingCI/CDClass RestructuringCode CommentingCode FormattingCode QualityCode RefactoringCode ReversionData AnalysisData SimulationData TypesDebugging
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