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Gaia Data Reveals Asteroid Spin Divide Explained by Collisions and Internal Friction

Machine learning validates a new spin‑evolution model on Gaia’s catalogue, paving the way for LSST-scale probes of asteroid interiors.

Overview

  • Gaia’s light‑curve dataset shows a distinct gap on rotation period versus diameter plots, separating slow tumblers with periods under about 30 hours from faster stable spinners.
  • Researchers modeled a balance between collision‑induced tumbling and internal friction that restores ordered spin, and the predicted dividing line matches Gaia observations.
  • Sunlight-driven thermal torques strengthen stable rotation but are weak for tumbling bodies, leaving many slow rotators trapped in the low‑spin regime.
  • The rotation patterns support a rubble‑pile picture for many asteroids, implying porous aggregates blanketed by regolith rather than solid rock.
  • The findings, presented at EPSC‑DPS2025, inform planetary‑defense planning and are slated for expansion to millions of objects with the Vera C. Rubin Observatory’s LSST.