Astronomy19 papers
Mean-motion resonances in the Solar system
A curated collection of essential papers on mean-motion resonances in the asteroid belt, TNO, and beyond.
ES
Evgeny Smirnov
All Reviews
AstronomyN/A
intermediate
Artificial neural network classification of asteroids in the M1:2 mean-motion resonance with Mars
V Carruba et al. (2021)
- Published
- Apr 7, 2021
- Journal
- Monthly Notices of the Royal Astronomical Society · Vol. 504 · No. 1
- DOI
- 10.1093/mnras/stab914
At a GlanceAI
First ANN-based classifier to automatically identify asteroid orbital behavior in Mars’ M1:2 mean-motion resonance.
SummaryAI
The study introduces (for the first time) artificial neural networks to automatically classify asteroid orbital behavior associated with the Mars M1:2 mean-motion resonance. It reports >85% performance on classifying images of resonant-argument behavior, enabling classification of all numbered asteroids in the resonance region and supervised predictions for multi-opposition objects. The results support that the M1:2 resonance primarily influences members of the Massalia, Nysa, and Vesta families, providing a scalable way to map resonance-driven dynamics across large asteroid samples.
Method SnapshotAI
Supervised neural-network image classification of resonant-argument behavior, with model optimization using genetic algorithms.
BackgroundAI
Mean-motion resonance dynamics in the asteroid belt and basic supervised machine learning (neural networks and evaluation metrics).