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”
L.A. Slagter developed and refined Bayesian inference workflows for astrophysical data in the t-kist/Bayesian-Statistics-for-Astrophysics-2024 repository, focusing on Sérsic profile parameter estimation. Over two months, they structured and reorganized Jupyter notebooks to improve onboarding, reproducibility, and collaboration, implementing grid-search and MCMC-style posterior estimation using Python, NumPy, and SciPy. Their work addressed instability in likelihood calculations, stabilized Poisson-based visualizations, and enhanced documentation for confidence intervals and uncertainty reporting. By standardizing plotting, synchronizing execution seeds, and consolidating results presentation, Slagter ensured the project’s analyses were robust, auditable, and maintainable, demonstrating depth in scientific computing and technical writing.
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
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
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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
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