RUWE Radial KS Clustering
A reproducible open-cluster analysis workflow that combines Monte Carlo KMeans voting, Gaia color-magnitude diagrams, RUWE inspection, and radial Kolmogorov-Smirnov testing.
Challenge
Cluster analysis workflows often stay trapped in notebooks, which makes reruns, comparisons, and public sharing harder than they should be.
Implementation
This repository cleans the original notebooks into a public research workflow with a CLI entry point, Monte Carlo membership inference, Gaia CMD views, RUWE-colored inspection, and radial KS testing.
Result
The result is a reusable analysis pipeline that can compare multiple clusters in one summarized output while keeping the research steps transparent.
Repository Snapshot
Open-cluster RUWE radial KS analysis with membership inference and CMD workflows