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
Contributed to the ubsuny/PHY386 repository by developing a suite of Jupyter Notebooks and Python modules focused on scientific computing and data analysis in physics and astronomy. Delivered features such as a 2D lattice vibration simulator, quantum optics experiment visualizations, and end-to-end astronomical image workflows, including FITS image processing and automated star detection using Astropy and Photutils. Implemented a reproducible lunar crater analysis pipeline from video, leveraging OpenCV for crater detection and Matplotlib for visualization. Emphasized reproducibility, clear documentation, and hands-on learning, while integrating technologies like NumPy, TensorFlow, and Pandas to support both educational and research objectives.
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
18 peopleWork 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
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