Small-N collisional dynamics III: The battle for the realm of not-so-small-N
Nathan W. C. Leigh, Aaron M. Geller, Michael M. Shara, James Garland,, Harper Clees-Baron, Alejandro Ahmed

TL;DR
This paper develops an analytic framework for predicting collision probabilities in chaotic four-body gravitational interactions with finite-sized particles, validated by numerical simulations, and introduces a Collision Rate Diagram for comparison.
Contribution
It presents a new analytic formalism for calculating collision time-scales and rates in four-body gravitational systems with varying mass combinations, validated against simulations.
Findings
Analytic time-scales match simulated results when gravitational focusing is included.
The method provides bounds on collision probabilities using radial and tangential orbit limits.
The Collision Rate Diagram effectively compares analytic predictions with numerical experiments.
Abstract
In this paper, the third in the series, we continue our study of combinatorics in chaotic Newtonian dynamics. We study the chaotic four-body problem in Newtonian gravity assuming finite-sized particles, and we focus on interactions that produce direct collisions between any two stars. Our long-term goal is to construct an equation that gives the probability of a given collision event occurring over the course of the interaction, as a function of the total encounter energy and angular momentum as well as the numbers and properties of the particles. In previous papers, we varied the number of interacting particles and the distribution of particle radii, for all equal mass particles. Here, we focus on the effects of different combinations of particle masses. We develop an analytic formalism for calculating the time-scales for different collision scenarios to occur. Our analytic…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
