Predicting the unpredictable: binary--single scattering with machine learning

arXiv:2607.16763 · astro-ph.GA, astro-ph.SR · Submitted 2026-07-18 · Read on arXiv

Ahmad Farhani Asl, David Fonseca Mota, Dennis Fremstad, Fatemeh Rahimi

Department of Physics, Institute for Advanced Studies in Basic Sciences · Institute of Theoretical Astrophysics, University of Oslo, Oslo, Norway · Institute of Theoretical Astrophysics, University of Oslo, Oslo, Norway · Department of Physics, Institute for Advanced Studies in Basic Sciences

astro-ph.GA, astro-ph.SR

Submitted: 2026-07-18

Comments: 10 pages, 5 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 16× in this paper · explained in 1 episode
• Calibration — 12× in this paper · explained in 7 episodes
• Core — 5× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Bayesian Optimization — 1× in this paper · explained in 3 episodes
• Center of Mass (CoM) — 1× in this paper · explained in 2 episodes
• Chaotic Dynamics — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Institute for Advanced Studies in Basic Sciences — 1× in this paper
• Interpretability — 1× in this paper · explained in 15 episodes
• Mass Segregation — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Velocity Dispersion — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

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