t-kist/Bayesian-Statistics-for-Astrophysics-2024
Nov 2024 – Dec 2024
2 Months active
Languages Used
JSONJupyter NotebookPython
Technical Skills
AstrophysicsBayesian InferenceBayesian StatisticsCode OrganizationData AnalysisData Science
“LukaSlagter”
PROFILE
“lukaslagter”
Worked on the t-kist/Bayesian-Statistics-for-Astrophysics-2024 repository, developing and refining a notebook-driven workflow for Bayesian inference in astrophysical data analysis. Built structured scaffolding for course materials, enabling reproducibility and efficient onboarding, and implemented a Bayesian Sérsic parameter estimation pipeline using Python, NumPy, and Jupyter Notebooks. Addressed instability in likelihood calculations through iterative fixes, stabilized Poisson-based visualizations, and improved confidence interval documentation. Enhanced project organization with metadata and standardized plotting, ensuring consistent results across materials. Maintained and updated documentation, synchronized execution seeds, and consolidated tables, resulting in a robust, auditable framework for collaborative scientific computing and statistical modeling.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
26Total
Bugs
1
Commits
26
Features
4
Lines of code
6,665
Activity Months2
Your Network
16 peopleSame Organization
@umail.leidenuniv.nl5
Shared Repositories
11
[JelmerPastoor]Member
[myrdhinzwet]Member
[NotBenthe]Member
[MaraWB]Member
[nielsklerk]Member
[sanderfromthewheels]Member
EmmaVolkersMember
RevennaMember
Thain007Member
Work History
December 2024
17 Commits • 2 Features
Dec 1, 2024December 2024 monthly performance summary for t-kist/Bayesian-Statistics-for-Astrophysics-2024. Focused on delivering end-to-end Bayesian inference capabilities for astrophysical measurements and improving notebook quality and reproducibility across the Chapter4 materials.
17 Commits • 2 Features
Dec 1, 2024December 2024 monthly performance summary for t-kist/Bayesian-Statistics-for-Astrophysics-2024. Focused on delivering end-to-end Bayesian inference capabilities for astrophysical measurements and improving notebook quality and reproducibility across the Chapter4 materials.
December 2024
November 2024
9 Commits • 2 Features
Nov 1, 2024Concise monthly summary for 2024-11: Delivered structured notebook scaffolding and material organization for the Bayesian statistics course, enabling faster onboarding and reproducibility. Implemented and refined a Bayesian Sérsic parameter estimation workflow (parameters n, r_e) with priors, likelihood, posterior estimation, and visualization, including documentation on confidence intervals. Addressed instability in the likelihood leading to low-uncertainty peaking through iterative fixes (two rounds), improving robustness for updating with new data. Documented workflow and added metadata to notebooks to support future collaboration and auditability. Tech stack and skills demonstrated: Python, Bayesian inference, MCMC-style posterior estimation, data visualization, notebook-driven workflows, and git-based collaboration.
November 2024
9 Commits • 2 Features
Nov 1, 2024Concise monthly summary for 2024-11: Delivered structured notebook scaffolding and material organization for the Bayesian statistics course, enabling faster onboarding and reproducibility. Implemented and refined a Bayesian Sérsic parameter estimation workflow (parameters n, r_e) with priors, likelihood, posterior estimation, and visualization, including documentation on confidence intervals. Addressed instability in the likelihood leading to low-uncertainty peaking through iterative fixes (two rounds), improving robustness for updating with new data. Documented workflow and added metadata to notebooks to support future collaboration and auditability. Tech stack and skills demonstrated: Python, Bayesian inference, MCMC-style posterior estimation, data visualization, notebook-driven workflows, and git-based collaboration.
Activity
Loading activity data...
Quality Metrics
Correctness85.0%
Maintainability85.4%
Architecture80.8%
Performance78.8%
AI Usage21.6%
Skills & Technologies
Programming Languages
JSONJupyter NotebookPython
Technical Skills
AstrophysicsBayesian InferenceBayesian StatisticsCode OrganizationCode RefactoringData AnalysisData ScienceData SimulationData VisualizationDocumentationFile ManagementGrid SearchJupyter NotebookJupyter NotebooksMatplotlib
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline