
Developed core simulation and map-making infrastructure for the QUBIC project within the qubicsoft/qubic repository, focusing on end-to-end workflows for astrophysics experiments. Established foundational files, documentation, and configuration to support rapid prototyping and reproducible simulations, integrating planning and diagnostics plotting for improved workflow integration. Enhanced observation simulation capabilities by implementing Sky Dips simulation, azimuth/elevation sweeps, and Planck-based spectral variability coverage, while introducing sun/moon separation constraints. Reorganized the codebase to improve maintainability and extensibility. Leveraged Python, Fortran, and Jupyter Notebook for scientific computing, data analysis, and visualization, enabling more accurate planning and optimization of telescope observation strategies.
In 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.
In 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.
Month 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.
Month 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.

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