Skip to main content
All Reviews
Astronomy
intermediate

On the identification of the first two young asteroid families in g-type non-linear secular resonances

V Carruba et al. (2023)

Published
Dec 22, 2023
Journal
Monthly Notices of the Royal Astronomical Society · Vol. 528 · No. 1
DOI
10.1093/mnras/stad3968

At a GlanceAI

ANN/CNN identification of >2100 asteroids in g-type non-linear secular resonances reveals two <7 Myr resonant young families.

SummaryAI

The study targets g-type non-linear secular resonances, higher-order combinations of perihelion precession frequencies that can strongly shape asteroid orbital evolution. Using Artificial Neural Networks, the authors identify over 2100 resonant asteroids in the g − 2g6 + g5 and g − 3g6 + 2g5 resonances and build a CNN that classifies resonance membership for thousands of objects in seconds. Within the resonant population they find 12 candidate dynamical groups, including the 5507 and 170776 families with ages <7 Myr. These are presented as the first young asteroid families found in the investigated resonant configurations, enabling constraints on the families’ original ejection-velocity fields.

Method SnapshotAI

Machine-learning classification (ANNs and a CNN) is used to detect and rapidly predict asteroid membership in specific non-linear secular resonances and then search for dynamical groupings.

BackgroundAI

Familiarity with asteroid-family dynamics and secular resonance theory (g, s frequencies and planetary eigenfrequencies such as g5 and g6).