mantidproject/mantid
Oct 2025 – Oct 2025
1 Month active
Languages Used
Pythonrst
Technical Skills
Data VisualizationDocumentationGUI DevelopmentMatplotlibPython DevelopmentScientific Computing
Zachary Morgan
PROFILE
Zachary Morgan
During October 2025, Morgan ZJ contributed to the mantidproject/mantid repository by developing user-facing features focused on data visualization and documentation. Morgan enhanced the SliceViewer tool by implementing Asinh normalization and a corresponding colormap using Python and Matplotlib, enabling more accurate representation of datasets with zero or negative values. Additionally, Morgan authored detailed rst documentation for the HFIR MIDAS and IMAGINE instruments, supporting onboarding and usage for new users. The work demonstrated depth in both scientific computing and GUI development, addressing practical challenges in data interpretation and aligning the project with evolving ORNL-next workflows without requiring major bug fixes during the period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
50
Activity Months1
Your Network
103 people
Work History
October 2025
3 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for mantidproject/mantid: Focused on delivering user-facing capabilities and documentation enhancements. Key outcomes include HFIR instrument documentation for MIDAS and IMAGINE, and SliceViewer visualization improvements with Asinh normalization and an Asinh colormap. No major bugs fixed this month. These items improve onboarding for HFIR users and data visualization fidelity, aligning with ORNL-next workflows and broader Mantid usage.
3 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for mantidproject/mantid: Focused on delivering user-facing capabilities and documentation enhancements. Key outcomes include HFIR instrument documentation for MIDAS and IMAGINE, and SliceViewer visualization improvements with Asinh normalization and an Asinh colormap. No major bugs fixed this month. These items improve onboarding for HFIR users and data visualization fidelity, aligning with ORNL-next workflows and broader Mantid usage.
October 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture93.4%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Pythonrst
Technical Skills
Data VisualizationDocumentationGUI DevelopmentMatplotlibPython DevelopmentScientific Computing
Repositories Contributed To
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