qubicsoft/qubic
Mar 2025 – Sep 2025
6 Months active
Languages Used
FortranGit AttributesJupyter NotebookPythonYAML
Technical Skills
AstrophysicsAstropyCode RefactoringCoordinate TransformationsData AnalysisData Interpolation
Alexandre Huchet
PROFILE
Alexandre Huchet
Alexandre Huchet contributed to the qubicsoft/qubic repository by developing and refining astrophysics data processing pipelines, focusing on map-making, instrument simulation, and reproducibility. He implemented features such as bilinear interpolation for sky map projection, duration-based observation control, and reproducible noise modeling, using Python, Fortran, and YAML for configuration and scientific computation. Alexandre addressed complex challenges in parameter standardization, code refactoring, and cross-instrument compatibility, ensuring robust and maintainable workflows. His work included debugging metadata handling in Jupyter notebooks and enhancing HEALPix-based map-making, resulting in cleaner, more reliable pipelines that support both research reproducibility and long-term codebase maintainability.
Overall Statistics
Feature vs Bugs
65%Features
Repository Contributions
52Total
Bugs
8
Commits
52
Features
15
Lines of code
42,006
Activity Months6
Work History
September 2025
4 Commits • 2 Features
Sep 1, 2025September 2025 Performance Summary for qubicsoft/qubic: - Focused on enhancing Frequency Map Making (FMM) configurability and cross-instrument compatibility to deliver more reliable, faster data products with reduced maintenance overhead. - Delivered two key features for FMM: (1) duration-based observation control via duration_150 and duration_220, with updated params.yml integration and cleaned runtime outputs; (2) support for nrec=1 enabling a single reconstructed frequency map, extending applicability to UWB and MB datasets with Planck compatibility considerations. - Improved code reliability and cleanliness through targeted bug fixes and refactoring aimed at maintainability and clearer parameter access paths. Overall, these changes reduce manual intervention in configuration, broaden applicable data scenarios, and improve the robustness of frequency map generation across pipelines.
4 Commits • 2 Features
Sep 1, 2025September 2025 Performance Summary for qubicsoft/qubic: - Focused on enhancing Frequency Map Making (FMM) configurability and cross-instrument compatibility to deliver more reliable, faster data products with reduced maintenance overhead. - Delivered two key features for FMM: (1) duration-based observation control via duration_150 and duration_220, with updated params.yml integration and cleaned runtime outputs; (2) support for nrec=1 enabling a single reconstructed frequency map, extending applicability to UWB and MB datasets with Planck compatibility considerations. - Improved code reliability and cleanliness through targeted bug fixes and refactoring aimed at maintainability and clearer parameter access paths. Overall, these changes reduce manual intervention in configuration, broaden applicable data scenarios, and improve the robustness of frequency map generation across pipelines.
September 2025
July 2025
1 Commits
Jul 1, 2025July 2025: Delivered a focused bug fix to Notebook metadata filtering for the CompSep-on-BIS4 ipynb, boosting data quality and stability of the ipynb processing pipeline in qubicsoft/qubic. Root cause traced to an old filter not removing file metadata, leading to incomplete metadata processing. The fix prevents stale metadata from propagating, improving reproducibility and downstream results across notebooks.
July 2025
1 Commits
Jul 1, 2025July 2025: Delivered a focused bug fix to Notebook metadata filtering for the CompSep-on-BIS4 ipynb, boosting data quality and stability of the ipynb processing pipeline in qubicsoft/qubic. Root cause traced to an old filter not removing file metadata, leading to incomplete metadata processing. The fix prevents stale metadata from propagating, improving reproducibility and downstream results across notebooks.
June 2025
4 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary (qubicsoft/qubic): Delivered substantive map-making enhancements and a critical fix to improve reliability and robustness of the QUBIC data processing pipeline. The work emphasizes business value through higher-quality map reconstructions, reproducibility, and reduced risk in production runs.
4 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary (qubicsoft/qubic): Delivered substantive map-making enhancements and a critical fix to improve reliability and robustness of the QUBIC data processing pipeline. The work emphasizes business value through higher-quality map reconstructions, reproducibility, and reduced risk in production runs.
June 2025
May 2025
11 Commits • 3 Features
May 1, 2025May 2025 monthly summary for qubicsoft/qubic: Key features delivered: - Noise Modeling and Reproducibility in Map-Making: implemented granular detector and photon noise weighting with reproducibility via seeds for QUBIC/Planck noise, dedicated PCG seed, and updated noise integration in map-making. This enables consistent simulations and comparability across experiments. - Parameter Naming Standardization and Seed Naming: standardized noise and spectral parameter naming (seed -> seed_noise, nu0-related parameters simplified to nu0) to improve maintainability and reduce ambiguity. - Map-Making Lmax Fixes: corrected lmax handling in HEALPix-based map-making and convolution (including restoring -1 in the operator call and ensuring lmax = 3*nside - 1 where appropriate) for correct angular-scale computations. - Cleanup and Refactor: removed obsolete components (QubicIntegrated, QubicFullBandSystematic, PlanckAcquisition.get_map) and consolidated acquisition/generation logic to reduce duplication and technical debt. Major bugs fixed: - Lmax handling inconsistencies in HEALPix convolution and map-making paths, ensuring consistent angular scale computations across components. - Minor code hygiene fixes and refactors to stabilize the map-making pipeline and naming conventions. Overall impact and accomplishments: - Achieved reproducible noise-augmented map-making pipelines with standardized parameter naming, improving collaboration and long-term maintainability. - Reduced maintenance burden through targeted cleanup and refactoring, enabling faster onboarding and more robust future enhancements. - Enhanced testing capability with a working pipeline that can run optionally without noise to serve as a baseline. Technologies and skills demonstrated: - HEALPix-based map-making, noise modeling, and reproducibility controls (seeding, PCG RNG). - YAML/parameter management and naming standardization across components. - Code refactoring, decomposition of components, and cleanup of legacy code paths.
May 2025
11 Commits • 3 Features
May 1, 2025May 2025 monthly summary for qubicsoft/qubic: Key features delivered: - Noise Modeling and Reproducibility in Map-Making: implemented granular detector and photon noise weighting with reproducibility via seeds for QUBIC/Planck noise, dedicated PCG seed, and updated noise integration in map-making. This enables consistent simulations and comparability across experiments. - Parameter Naming Standardization and Seed Naming: standardized noise and spectral parameter naming (seed -> seed_noise, nu0-related parameters simplified to nu0) to improve maintainability and reduce ambiguity. - Map-Making Lmax Fixes: corrected lmax handling in HEALPix-based map-making and convolution (including restoring -1 in the operator call and ensuring lmax = 3*nside - 1 where appropriate) for correct angular-scale computations. - Cleanup and Refactor: removed obsolete components (QubicIntegrated, QubicFullBandSystematic, PlanckAcquisition.get_map) and consolidated acquisition/generation logic to reduce duplication and technical debt. Major bugs fixed: - Lmax handling inconsistencies in HEALPix convolution and map-making paths, ensuring consistent angular scale computations across components. - Minor code hygiene fixes and refactors to stabilize the map-making pipeline and naming conventions. Overall impact and accomplishments: - Achieved reproducible noise-augmented map-making pipelines with standardized parameter naming, improving collaboration and long-term maintainability. - Reduced maintenance burden through targeted cleanup and refactoring, enabling faster onboarding and more robust future enhancements. - Enhanced testing capability with a working pipeline that can run optionally without noise to serve as a baseline. Technologies and skills demonstrated: - HEALPix-based map-making, noise modeling, and reproducibility controls (seeding, PCG RNG). - YAML/parameter management and naming standardization across components. - Code refactoring, decomposition of components, and cleanup of legacy code paths.
April 2025
20 Commits • 7 Features
Apr 1, 2025April 2025 monthly summary: The team advanced core instrument architecture, data pipelines, and test coverage, delivering a more maintainable codebase and enabling several data workflows that drive business value for QUBIC data processing. Notable progress includes consolidation of the Qubic instrument interface, groundwork for MB and TD instruments, and robust integration of UWB/DB data streams with Planck stacking and external_data support across nrec=2 and nrec=4. A key correctness fix was implemented for QubicInstrumentType with nrec=2; tests for TD instrument scaffolding were started and shape issues for nrec>2 were addressed. The MB instrument development progressed, with generalized noise definitions and refactoring of Chi2 computation to support MB/FMM, along with CMM instrument enablement and Qnoise compatibility improvements.
20 Commits • 7 Features
Apr 1, 2025April 2025 monthly summary: The team advanced core instrument architecture, data pipelines, and test coverage, delivering a more maintainable codebase and enabling several data workflows that drive business value for QUBIC data processing. Notable progress includes consolidation of the Qubic instrument interface, groundwork for MB and TD instruments, and robust integration of UWB/DB data streams with Planck stacking and external_data support across nrec=2 and nrec=4. A key correctness fix was implemented for QubicInstrumentType with nrec=2; tests for TD instrument scaffolding were started and shape issues for nrec>2 were addressed. The MB instrument development progressed, with generalized noise definitions and refactoring of Chi2 computation to support MB/FMM, along with CMM instrument enablement and Qnoise compatibility improvements.
April 2025
March 2025
12 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary: Delivered bilinear interpolation support within the projection operator pipeline for qubic, enabling more accurate sky map projection and reconstruction. Implemented a dedicated bilinear projection operator (Qbilin_interp.py), integrated it into the projection operator workflow, updated acquisition/instrument paths, and added convergence-focused notebooks and tests. Built a comprehensive testing/documentation scaffold around bilinear projection interpolation, including notebook handling with Git attributes. Fixed critical regressions: reverted noise handling changes to restore prior behavior in the noise-projection interplay and refined IQU map zeroing to improve data preparation for analysis. These efforts increased projection accuracy, stability, and reproducibility, and reduced analysis friction for downstream science teams.
March 2025
12 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary: Delivered bilinear interpolation support within the projection operator pipeline for qubic, enabling more accurate sky map projection and reconstruction. Implemented a dedicated bilinear projection operator (Qbilin_interp.py), integrated it into the projection operator workflow, updated acquisition/instrument paths, and added convergence-focused notebooks and tests. Built a comprehensive testing/documentation scaffold around bilinear projection interpolation, including notebook handling with Git attributes. Fixed critical regressions: reverted noise handling changes to restore prior behavior in the noise-projection interplay and refined IQU map zeroing to improve data preparation for analysis. These efforts increased projection accuracy, stability, and reproducibility, and reduced analysis friction for downstream science teams.
Activity
Loading activity data...
Quality Metrics
Correctness78.6%
Maintainability80.0%
Architecture77.0%
Performance64.8%
AI Usage21.2%
Skills & Technologies
Programming Languages
FortranGit AttributesJupyter NotebookPythonYAML
Technical Skills
AstrophysicsAstrophysics SimulationAstropyBackend DevelopmentCode CleanupCode RefactoringConfiguration ManagementCoordinate TransformationsCosmologyData AcquisitionData AnalysisData ConfigurationData InterpolationData ProcessingData Visualization
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline