qubicsoft/qubic
Oct 2025 – Dec 2025
2 Months active
Languages Used
FortranPythonYAML
Technical Skills
FortranPythonPython scriptingconfiguration managementdata analysisdata visualization
ismailbekkaoui062
PROFILE
Ismailbekkaoui062
Ismail Bekkaoui developed core simulation and map-making infrastructure for the QUBIC project within the qubicsoft/qubic repository, focusing on reproducible astrophysics workflows. Over two months, he established foundational files and documentation, implemented parameterized instrument configuration, and introduced noise modeling and pointing strategies using Python and Fortran. He further enhanced the toolkit by adding observation simulation features, including Sky Dips, azimuth/elevation sweeps, and Planck-based spectral variability analysis, leveraging Jupyter Notebooks for visualization and data analysis. His work reorganized the codebase for maintainability and enabled more accurate planning and optimization of telescope observations, demonstrating depth in scientific computing and simulation development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
2
Lines of code
855,679
Activity Months2
Your Network
12 peopleShared Repositories
12
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TomLaclavereMember
LeonoraMember
Steve TORCHINSKYMember
sofiaferazzoliMember
Work History
December 2025
6 Commits • 1 Features
Dec 1, 2025In 2025-12, delivered a major upgrade to the QUBIC Observation Simulation and Scanning Strategy in qubicsoft/qubic. The feature introduces Sky Dips simulation, comprehensive observation simulations with azimuth/elevation sweeps and visualization, a Planck-based spectral variability coverage notebook, and sun/moon separation constraints, alongside a codebase reorganization to improve maintainability. This work was implemented through six commits, including creating and updating Sky_Dips_Sim.py, adding new files, and moving scanning strategy files to the appropriate structure. The result is enhanced end-to-end simulation capabilities for planning and data quality, enabling better optimization of telescope time and more accurate planning of observations. Demonstrated technologies include Python development, data visualization, Jupyter notebooks, and Git-based version control.
6 Commits • 1 Features
Dec 1, 2025In 2025-12, delivered a major upgrade to the QUBIC Observation Simulation and Scanning Strategy in qubicsoft/qubic. The feature introduces Sky Dips simulation, comprehensive observation simulations with azimuth/elevation sweeps and visualization, a Planck-based spectral variability coverage notebook, and sun/moon separation constraints, alongside a codebase reorganization to improve maintainability. This work was implemented through six commits, including creating and updating Sky_Dips_Sim.py, adding new files, and moving scanning strategy files to the appropriate structure. The result is enhanced end-to-end simulation capabilities for planning and data quality, enabling better optimization of telescope time and more accurate planning of observations. Demonstrated technologies include Python development, data visualization, Jupyter notebooks, and Git-based version control.
December 2025
October 2025
3 Commits • 1 Features
Oct 1, 2025Month 2025-10: Delivered the foundational End-to-End Simulation and Map-Making Toolkit initialization for the QUBIC project within qubicsoft/qubic. Established a cohesive set of files (docs, configuration, and core functionality) enabling rapid prototyping of simulation and map-making workflows, with planned integration for planning and diagnostics plotting. Implemented initial map-making parameterization, including instrument config, noise modeling, and pointing strategies, to support reproducible experiments and benchmarking. This work lays a strong foundation for broader testing, performance evaluation, and cross-team collaboration, delivering clear business value through accelerated development cycles and improved planning accuracy.
October 2025
3 Commits • 1 Features
Oct 1, 2025Month 2025-10: Delivered the foundational End-to-End Simulation and Map-Making Toolkit initialization for the QUBIC project within qubicsoft/qubic. Established a cohesive set of files (docs, configuration, and core functionality) enabling rapid prototyping of simulation and map-making workflows, with planned integration for planning and diagnostics plotting. Implemented initial map-making parameterization, including instrument config, noise modeling, and pointing strategies, to support reproducible experiments and benchmarking. This work lays a strong foundation for broader testing, performance evaluation, and cross-team collaboration, delivering clear business value through accelerated development cycles and improved planning accuracy.
Activity
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Quality Metrics
Correctness91.2%
Maintainability84.4%
Architecture88.8%
Performance86.6%
AI Usage26.6%
Skills & Technologies
Programming Languages
FortranPythonYAML
Technical Skills
FortranJupyter NotebookPythonPython programmingPython scriptingalgorithm designastronomyastrophysics simulationconfiguration managementdata analysisdata visualizationobject-oriented programmingscientific computingsimulation developmentsoftware development
Repositories Contributed To
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