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Astronomy
intermediate

Deep learning identification of asteroids interacting with g-s secular resonances

A.A. Alves et al. (2025)

Published
Apr 1, 2025
Journal
Planetary and Space Science · Vol. 258
DOI
10.1016/j.pss.2025.106062

At a GlanceAI

Deep learning flags asteroids interacting with g–s secular resonances, enabling faster resonance-related mapping of the asteroid belt.

SummaryAI

The work applies deep learning to identify asteroids that interact with g–s secular resonances, aiming to automate a task usually done with more manual or computationally heavy dynamical analysis. By training a model to recognize signatures of secular-resonant behavior, it can rapidly screen large asteroid samples for resonance involvement. This can improve population-level studies of secular resonance structure and help target follow-up dynamical investigations on the most relevant objects.

Method SnapshotAI

Supervised deep-learning classification is used to detect dynamical signatures consistent with interaction with g–s secular resonances.

BackgroundAI

Familiarity with asteroid dynamics and secular resonances (precession frequencies g and s) plus basic machine-learning concepts.