Comparing Methods for Galactic Rotation Curves Across 872 Observations

Abstract

Recent advances in variational approaches have opened new routes to studying galactic rotation curves. Our protocol combines variational estimation with a lightweight validation pipeline designed to be reproducible by student laboratories. We observe a statistically significant effect (p < 0.01) that persists across all tested conditions. These findings suggest a practical path toward broader adoption with limited supervision.