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
Celine Durniak developed and enhanced neutron scattering simulation workflows in the ess-dmsc-dram/dmsc-school repository, focusing on expanding material data coverage and improving simulation configuration. She integrated new crystallographic datasets into the 3-mcstas material database, enabling more realistic and diverse simulations. Using Python and Jupyter Notebook, Celine refactored simulation scripts to support additional sample types and updated monitoring components for better compatibility and reliability. She also improved the powder reduction notebook by adding Gaussian smoothing and enriching output metadata with experimental parameters, streamlining data analysis and reproducibility. Her work demonstrated depth in data management, scientific computing, and materials science applications.
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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