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During October 2025, 4rx focused on enhancing direct beam selection in the neutrons/quicknxs repository by delivering a feature that refactored the matching process to use Euclidean distance for slit width comparison when wavelengths align. This work introduced the Instrument.direct_beam_distance attribute and updated the DataManager to prioritize experimental runs with matching wavelengths and minimal slit width differences, thereby improving the accuracy and robustness of direct beam identification. The implementation, developed in Python and leveraging skills in algorithm refinement and data handling, addressed the need for more reliable experiment planning and reduced the likelihood of post-processing corrections in neutron scattering workflows.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
47
Activity Months1

Work History

October 2025

1 Commits • 1 Features

Oct 1, 2025

Month: 2025-10. Focus: neutrons/quicknxs Direct Beam Matching Distance Refinement. Delivered a refactor using Euclidean distance for slit width matching when wavelengths align; added Instrument.direct_beam_distance; updated DataManager to prioritize runs with matching wavelengths and the smallest slit width differences, improving accuracy of direct beam selection. Commit reference included for traceability: 93274b7680b6dd914c3692b31dd6f509d1eebab7.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Algorithm RefinementData Handling

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

neutrons/quicknxs

Oct 2025 Oct 2025
1 Month active

Languages Used

Python

Technical Skills

Algorithm RefinementData Handling

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