
During December 2024, Diego Gonzal worked on the xpsi-group/xpsi repository, focusing on enhancing user onboarding and data visualization in astrophysics workflows. He improved installation guidance for Mac users by clarifying documentation and addressing known platform-specific issues. In Jupyter Notebooks, Diego upgraded the Instrument Synergy and Polarization analysis notebooks using Python, Matplotlib, and NumPy, adding features such as color bars, corrected units, improved labels, and new Q-U plane plots. These updates reduced user friction and improved interpretability of scientific results. His work demonstrated depth in scientific computing, data visualization, and tutorial development, with careful attention to clarity and usability.

December 2024: Improved onboarding and data-visualization quality for X-PSI on Mac and in notebooks. Delivered three feature sets across the xpsi repo: Installation Guidance Enhancements for Mac to fix a minor typo and add a note about known Mac installation issues; Instrument Synergy Notebook Visualization Improvements to add color bar, units, corrected units in the effective area plot, and clearer labels; Polarization Notebook Enhancements to improve Stokes plots, normalize by max absolute value, add legend and Q-U plane plot, enhancing interpretability of polarization analysis. These changes reduce user friction, improve data interpretation, and demonstrate solid cross-disciplinary skills in documentation, notebooks, and visualization.
December 2024: Improved onboarding and data-visualization quality for X-PSI on Mac and in notebooks. Delivered three feature sets across the xpsi repo: Installation Guidance Enhancements for Mac to fix a minor typo and add a note about known Mac installation issues; Instrument Synergy Notebook Visualization Improvements to add color bar, units, corrected units in the effective area plot, and clearer labels; Polarization Notebook Enhancements to improve Stokes plots, normalize by max absolute value, add legend and Q-U plane plot, enhancing interpretability of polarization analysis. These changes reduce user friction, improve data interpretation, and demonstrate solid cross-disciplinary skills in documentation, notebooks, and visualization.
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