ess-dmsc-dram/dmsc-school
Jul 2025 – Jul 2025
1 Month active
Languages Used
Jupyter NotebookN/APython
Technical Skills
Data AnalysisData ManagementData ReductionMaterials ScienceNeutron ScatteringNeutron Scattering Data Analysis
celinedurniak
PROFILE
Celinedurniak
Worked on the ess-dmsc-dram/dmsc-school repository to deliver three new features focused on enhancing neutron scattering simulations and data analysis workflows. Expanded the material database by adding crystallographic data files, enabling broader simulation coverage for materials science research. Improved simulation configuration and monitoring by updating scripts and Jupyter Notebooks to support new sample types and refactored monitor handling for greater reliability. Enhanced the powder reduction process by introducing Gaussian smoothing and enriching output metadata with key experimental parameters. Leveraged Python and scientific computing skills to increase simulation realism, reproducibility, and efficiency, supporting faster experimentation and more robust data management practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
19,667
Activity Months1
Work History
July 2025
3 Commits • 3 Features
Jul 1, 20252025-07 Monthly Summary for ess-dmsc-dram/dmsc-school: Delivered major features to expand material data, enhanced simulation configuration and monitoring workflows, and improved powder reduction outputs with richer metadata. These efforts enhance simulation realism, reproducibility, and data analysis efficiency for neutron scattering studies, supporting faster experimentation and decision-making.
3 Commits • 3 Features
Jul 1, 20252025-07 Monthly Summary for ess-dmsc-dram/dmsc-school: Delivered major features to expand material data, enhanced simulation configuration and monitoring workflows, and improved powder reduction outputs with richer metadata. These efforts enhance simulation realism, reproducibility, and data analysis efficiency for neutron scattering studies, supporting faster experimentation and decision-making.
July 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookN/APython
Technical Skills
Data AnalysisData ManagementData ReductionMaterials ScienceNeutron ScatteringNeutron Scattering Data AnalysisScientific ComputingSimulation
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