mantidproject/mantid
Oct 2025 – Jul 2026
6 Months active
Languages Used
PythonrstXMLC++
Technical Skills
Data VisualizationDocumentationGUI DevelopmentMatplotlibPython DevelopmentScientific Computing
Zachary Morgan
PROFILE
Zachary Morgan
Over six months, contributed to the mantidproject/mantid repository by developing eight features and resolving a critical bug, focusing on scientific data processing and visualization. Work included enhancing instrument definitions and calibration accuracy, optimizing algorithms for performance, and improving user-facing documentation and GUIs. Leveraged C++, Python, and XML to implement memory-efficient data workflows, robust error handling, and advanced data visualization using Matplotlib. Delivered calibration updates for instruments like MANDI and IMAGINE-X, introduced new normalization options in visualization tools, and refined peak refinement algorithms. These efforts improved data reliability, analysis throughput, and onboarding for scientific users, supporting evolving research workflows.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
8
Lines of code
3,164
Activity Months6
Your Network
112 peopleWork History
July 2026
2 Commits • 2 Features
Jul 1, 2026July 2026 performance summary for mantid project: Delivered two feature enhancements to boost calibration reliability and peak refinement robustness in quasi-Laue workflows, with associated UI and workflow improvements. Implemented peak wavelength derivation from Bragg's law using the UB matrix for quasi-Laue calibration, enabling more accurate wavelengths and faster setup. Enabled independent indexing of runs in RefineSingleCrystalGoniometer to improve robustness of peak refinement when goniometer offsets are large or unreliable. Completed SCDCalibratePanels refinements to support the new calibration workflows and improve user experience. These changes collectively improve calibration accuracy, workflow throughput, and overall stability for crystallography analyses. Recognized collaborative effort with co-authored commits and cross-team contributions. No explicit major bugs fixed were reported this month in the provided scope; efforts focused on delivering new capabilities and stabilizing calibration/refinement pipelines.
2 Commits • 2 Features
Jul 1, 2026July 2026 performance summary for mantid project: Delivered two feature enhancements to boost calibration reliability and peak refinement robustness in quasi-Laue workflows, with associated UI and workflow improvements. Implemented peak wavelength derivation from Bragg's law using the UB matrix for quasi-Laue calibration, enabling more accurate wavelengths and faster setup. Enabled independent indexing of runs in RefineSingleCrystalGoniometer to improve robustness of peak refinement when goniometer offsets are large or unreliable. Completed SCDCalibratePanels refinements to support the new calibration workflows and improve user experience. These changes collectively improve calibration accuracy, workflow throughput, and overall stability for crystallography analyses. Recognized collaborative effort with co-authored commits and cross-team contributions. No explicit major bugs fixed were reported this month in the provided scope; efforts focused on delivering new capabilities and stabilizing calibration/refinement pipelines.
July 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Mantid project contributions focused on enhancing instrument accuracy and data reliability for the MANDI instrument. Implemented an update to the MANDI instrument definition to reflect garnet-calibrated detector positions, improving measurement precision and reducing calibration drift. The change streamlined data processing pipelines by aligning instrument metadata with current calibration standards, enabling more accurate analyses and faster validation of experiments.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Mantid project contributions focused on enhancing instrument accuracy and data reliability for the MANDI instrument. Implemented an update to the MANDI instrument definition to reflect garnet-calibrated detector positions, improving measurement precision and reducing calibration drift. The change streamlined data processing pipelines by aligning instrument metadata with current calibration standards, enabling more accurate analyses and faster validation of experiments.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for mantid project focusing on performance and reliability improvements in CreateMDHistoWorkspace. Delivered a memory-efficient refactor with pre-execution input validation, enhanced error handling, and optimized memory operations for signal and error values, resulting in faster, more reliable histogram creation on large datasets.
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for mantid project focusing on performance and reliability improvements in CreateMDHistoWorkspace. Delivered a memory-efficient refactor with pre-execution input validation, enhanced error handling, and optimized memory operations for signal and error values, resulting in faster, more reliable histogram creation on large datasets.
January 2026
December 2025
1 Commits
Dec 1, 2025Monthly summary for 2025-12: Delivered a critical bug fix for IMAGINE-X detector orientation and established a default view to improve data accuracy and usability. This change reduces data misinterpretation, supports reliable analyses, and enhances user experience in upcoming releases.
December 2025
1 Commits
Dec 1, 2025Monthly summary for 2025-12: Delivered a critical bug fix for IMAGINE-X detector orientation and established a default view to improve data accuracy and usability. This change reduces data misinterpretation, supports reliable analyses, and enhances user experience in upcoming releases.
November 2025
2 Commits • 2 Features
Nov 1, 2025November 2025 monthly summary for mantid repository focused on performance optimization and instrument support expansion. Delivered two high-impact features with direct business value: a performance optimization for ConvertQtoHKLMDHisto and an instrument capability expansion via a new IMAGINE-X IDF. No major bugs fixed this month. Work laid the groundwork for faster analysis cycles and broader instrument coverage in Mantid.
2 Commits • 2 Features
Nov 1, 2025November 2025 monthly summary for mantid repository focused on performance optimization and instrument support expansion. Delivered two high-impact features with direct business value: a performance optimization for ConvertQtoHKLMDHisto and an instrument capability expansion via a new IMAGINE-X IDF. No major bugs fixed this month. Work laid the groundwork for faster analysis cycles and broader instrument coverage in Mantid.
November 2025
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.
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.
Activity
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Quality Metrics
Correctness98.0%
Maintainability86.0%
Architecture92.0%
Performance86.0%
AI Usage22.0%
Skills & Technologies
Programming Languages
C++PythonXMLrst
Technical Skills
C++C++ developmentData VisualizationDocumentationGUI DevelopmentMatplotlibPython DevelopmentPython programmingPython scriptingScientific ComputingXML configurationalgorithm designalgorithm developmentalgorithm optimizationdata analysis
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