ess-dmsc-dram/dmsc-school
Apr 2025 – Aug 2025
5 Months active
Languages Used
Jupyter NotebookPythonCJSON
Technical Skills
Data AnalysisFile Path ManipulationJupyter NotebookJupyter NotebooksPythonScientific Computing
mads-bertelsen
PROFILE
Mads-bertelsen
Mads Bertelsen developed and enhanced neutron scattering simulation tools in the ess-dmsc-dram/dmsc-school repository, focusing on powder instrument modeling and Jupyter Notebook-based learning resources. He introduced dynamic file path resolution and streamlined instrument configuration, reducing setup friction and improving reproducibility. Using Python and McStas, Mads built a powder instrument simulation prototype, iteratively refining data handling, metadata, and simulation accuracy through configurable sample types and improved data generation. He also improved simulation speed and time resolution by introducing DiskChopper and simplifying workflows. Throughout, he prioritized documentation and instructional clarity, restructuring notebooks to support user onboarding and maintain high standards of technical writing.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
23Total
Bugs
1
Commits
23
Features
5
Lines of code
6,569
Activity Months5
Your Network
8 people
Work History
August 2025
14 Commits • 1 Features
Aug 1, 2025August 2025 focused on enhancing the Powder Diffraction learning experience in ess-dmsc-dram/dmsc-school. Delivered substantial notebook documentation and clarity improvements for mcstas-powder-diffraction, with a clearer exercise flow, restructuring headings, and clarified energy calculations in pulsed source simulations. Updated and polished 3-mcstas/mcstas-powder-diffraction.ipynb across multiple commits, preserving data outputs while improving readability and instructional quality.
14 Commits • 1 Features
Aug 1, 2025August 2025 focused on enhancing the Powder Diffraction learning experience in ess-dmsc-dram/dmsc-school. Delivered substantial notebook documentation and clarity improvements for mcstas-powder-diffraction, with a clearer exercise flow, restructuring headings, and clarified energy calculations in pulsed source simulations. Updated and polished 3-mcstas/mcstas-powder-diffraction.ipynb across multiple commits, preserving data outputs while improving readability and instructional quality.
August 2025
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for ess-dmsc-dram/dmsc-school: Powder instrument simulation improvements implemented to speed up runs and improve time resolution. Consolidated changes include simplified configuration to reduce run times and the introduction of DiskChopper, delivering faster, more responsive simulations and clearer user guidance. Updated notebooks reflect the new setup, improving onboarding and reproducibility for users. These changes enhance data reduction readiness and overall user experience, supporting quicker research cycles and more reliable results.
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for ess-dmsc-dram/dmsc-school: Powder instrument simulation improvements implemented to speed up runs and improve time resolution. Consolidated changes include simplified configuration to reduce run times and the introduction of DiskChopper, delivering faster, more responsive simulations and clearer user guidance. Updated notebooks reflect the new setup, improving onboarding and reproducibility for users. These changes enhance data reduction readiness and overall user experience, supporting quicker research cycles and more reliable results.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for ess-dmsc-dram/dmsc-school focusing on Powder Instrument Enhancements and data-generation improvements.
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for ess-dmsc-dram/dmsc-school focusing on Powder Instrument Enhancements and data-generation improvements.
June 2025
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for ess-dmsc-dram/dmsc-school: Powder Instrument Simulation delivered as prototype with an accompanying demonstration notebook; follow-up enhancements implemented to improve data handling and metadata, and to stabilize instrument configuration. Wavelength recording remains non-functional due to detector issue in the prototype. The work provides a ready-to-run simulation for experimentation, validation, and stakeholder demonstrations, accelerating iteration cycles and increasing reproducibility.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for ess-dmsc-dram/dmsc-school: Powder Instrument Simulation delivered as prototype with an accompanying demonstration notebook; follow-up enhancements implemented to improve data handling and metadata, and to stabilize instrument configuration. Wavelength recording remains non-functional due to detector issue in the prototype. The work provides a ready-to-run simulation for experimentation, validation, and stakeholder demonstrations, accelerating iteration cycles and increasing reproducibility.
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025: Delivered two key improvements in ess-dmsc-dram/dmsc-school to simplify and stabilize instrument configuration and notebook execution. First, introduced dynamic run_folder resolution for mcstas exercises and instrument initialization, eliminating the need to provide an explicit run_folder path when creating instruments in QENS and SANS notebooks. Commits: 821138b3a1be6f26c997dbe5021dacb465795632; 9b1ea45f12fa921aba42cd1232c38b30b8359ef0. Second, fixed a missing os import in mcstas-qens.ipynb and mcstas-sans.ipynb to ensure filesystem operations work reliably. Commit: e8f9598316372fefb8493f09f5e5f764aab85aa1. These changes reduce setup friction, improve robustness across contexts, and enhance notebook usability.
3 Commits • 1 Features
Apr 1, 2025April 2025: Delivered two key improvements in ess-dmsc-dram/dmsc-school to simplify and stabilize instrument configuration and notebook execution. First, introduced dynamic run_folder resolution for mcstas exercises and instrument initialization, eliminating the need to provide an explicit run_folder path when creating instruments in QENS and SANS notebooks. Commits: 821138b3a1be6f26c997dbe5021dacb465795632; 9b1ea45f12fa921aba42cd1232c38b30b8359ef0. Second, fixed a missing os import in mcstas-qens.ipynb and mcstas-sans.ipynb to ensure filesystem operations work reliably. Commit: e8f9598316372fefb8493f09f5e5f764aab85aa1. These changes reduce setup friction, improve robustness across contexts, and enhance notebook usability.
April 2025
Activity
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Quality Metrics
Correctness92.2%
Maintainability93.0%
Architecture93.0%
Performance89.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CJSONJupyter NotebookPython
Technical Skills
Data AnalysisDocumentationFile Path ManipulationFull Stack DevelopmentInstrument ModelingInstrument SimulationJupyter NotebookJupyter NotebooksMcStasNeutron Scattering SimulationPythonPython ScriptingScientific ComputingScientific SimulationTechnical Writing
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