ubsuny/PHY386
Feb 2025 – May 2025
4 Months active
Languages Used
JSONJupyter NotebookLatexMarkdownPython
Technical Skills
AI IntegrationBasic PythonData AnalysisJupyter NotebookJupyter NotebooksMarkdown Formatting
JDRath
PROFILE
Jdrath
Over four months, John Drath developed a suite of educational and research-focused Jupyter Notebooks for the ubsuny/PHY386 repository, addressing topics from quantum optics to astronomical image analysis. He implemented end-to-end workflows for tasks such as lunar crater detection from video using Python, OpenCV, and NumPy, and built reproducible pipelines for FITS image processing and star cataloging with Astropy and TensorFlow. His work emphasized hands-on learning, reproducibility, and scientific rigor, with careful attention to code organization, documentation, and data visualization. The depth of his contributions established robust foundations for both classroom instruction and future machine learning applications in scientific computing.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
18Total
Bugs
1
Commits
18
Features
7
Lines of code
9,767
Activity Months4
Your Network
11 people
Work History
May 2025
2 Commits • 1 Features
May 1, 2025May 2025: Delivered initial lunar crater analysis feature for PHY386 with notebook and code enabling end-to-end crater analysis from video. Includes video loading, image contrast enhancement, crater detection via Hough Transform, crater size distributions, age estimation based on crater sizes, and plotting power-law assessments to study lunar surface aging. Established a reproducible workflow and a foundation for further refinements.
2 Commits • 1 Features
May 1, 2025May 2025: Delivered initial lunar crater analysis feature for PHY386 with notebook and code enabling end-to-end crater analysis from video. Includes video loading, image contrast enhancement, crater detection via Hough Transform, crater size distributions, age estimation based on crater sizes, and plotting power-law assessments to study lunar surface aging. Established a reproducible workflow and a foundation for further refinements.
May 2025
April 2025
8 Commits • 2 Features
Apr 1, 2025Summary for 2025-04 (ubsuny/PHY386): Implemented two educational notebooks to establish a reproducible, end-to-end data-analysis workflow for astronomical images. HW5 sets up the environment (TensorFlow, Astropy, Matplotlib), downloads and processes a FITS image, and delivers a cropped, stretched visualization to illustrate a practical beginner-to-intermediate workflow. HW6 extends this with automated FITS handling (download/crop/stretch), star detection using DAOStarFinder, and catalog creation (coordinates, flux, magnitude) with conversion to sky coordinates, enabling hands-on exploration and ML-ready datasets. No blocking bugs reported; delivered a robust foundation for student learning and future enhancements.
April 2025
8 Commits • 2 Features
Apr 1, 2025Summary for 2025-04 (ubsuny/PHY386): Implemented two educational notebooks to establish a reproducible, end-to-end data-analysis workflow for astronomical images. HW5 sets up the environment (TensorFlow, Astropy, Matplotlib), downloads and processes a FITS image, and delivers a cropped, stretched visualization to illustrate a practical beginner-to-intermediate workflow. HW6 extends this with automated FITS handling (download/crop/stretch), star detection using DAOStarFinder, and catalog creation (coordinates, flux, magnitude) with conversion to sky coordinates, enabling hands-on exploration and ML-ready datasets. No blocking bugs reported; delivered a robust foundation for student learning and future enhancements.
March 2025
3 Commits • 2 Features
Mar 1, 2025March 2025: Delivered two major features for the ubsuny/PHY386 project and completed notebook maintenance to improve reproducibility and correctness. 1) Pendulum data analysis notebook with damped-oscillation fitting and gravity estimation. 2) Quantum optics experiments and simulations suite with Fock, coherent, and squeezed state visualizations and a 4-mode entangled photonic circuit (homodyne measurements, Wigner analysis). 3) Notebook maintenance to update authorship tags, execution counts, output IDs, and state-creation parameters, improving accuracy of photon-number expectations. This work enhances experimental data analysis capabilities, educational tooling, and overall notebook quality for collaboration and research readiness.
3 Commits • 2 Features
Mar 1, 2025March 2025: Delivered two major features for the ubsuny/PHY386 project and completed notebook maintenance to improve reproducibility and correctness. 1) Pendulum data analysis notebook with damped-oscillation fitting and gravity estimation. 2) Quantum optics experiments and simulations suite with Fock, coherent, and squeezed state visualizations and a 4-mode entangled photonic circuit (homodyne measurements, Wigner analysis). 3) Notebook maintenance to update authorship tags, execution counts, output IDs, and state-creation parameters, improving accuracy of photon-number expectations. This work enhances experimental data analysis capabilities, educational tooling, and overall notebook quality for collaboration and research readiness.
March 2025
February 2025
5 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for ubsuny/PHY386. Key deliverables include two educational notebooks that advance onboarding and hands-on learning: Homework 1 Notebook introduces Markdown formatting, Python basics, and exercises with LaTeX for math; and a 2D Lattice Vibration Simulation Notebook that builds and analyzes mass-spring networks to compute eigenfrequencies, including an extended lattice with varying masses and anharmonic terms. A refinement to the stiffness matrix ensures spring constants are correctly applied by position for accurate phonon-mode visualization. No major bugs reported. Business value: scalable, reproducible learning resources that accelerate student onboarding, reduce instructor workload, and demonstrate growth in Python, numerical methods, and scientific documentation. Technical achievements: implemented data-driven notebooks, function-based simulations, and code organization with clear commit history.
February 2025
5 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for ubsuny/PHY386. Key deliverables include two educational notebooks that advance onboarding and hands-on learning: Homework 1 Notebook introduces Markdown formatting, Python basics, and exercises with LaTeX for math; and a 2D Lattice Vibration Simulation Notebook that builds and analyzes mass-spring networks to compute eigenfrequencies, including an extended lattice with varying masses and anharmonic terms. A refinement to the stiffness matrix ensures spring constants are correctly applied by position for accurate phonon-mode visualization. No major bugs reported. Business value: scalable, reproducible learning resources that accelerate student onboarding, reduce instructor workload, and demonstrate growth in Python, numerical methods, and scientific documentation. Technical achievements: implemented data-driven notebooks, function-based simulations, and code organization with clear commit history.
Activity
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Quality Metrics
Correctness79.4%
Maintainability79.0%
Architecture74.4%
Performance73.4%
AI Usage33.4%
Skills & Technologies
Programming Languages
JSONJupyter NotebookLatexMarkdownPython
Technical Skills
AI IntegrationAstronomyAstropyBasic PythonComputer VisionData AnalysisData VisualizationDeep LearningImage ProcessingJupyter NotebookJupyter NotebooksMachine LearningMarkdown FormattingMatplotlibNumPy
Repositories Contributed To
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