Testing the Flux-based statistical prediction of the Three-Body Problem
Viraj Manwadkar, Barak Kol, Alessandro A. Trani, Nathan W. C. Leigh

TL;DR
This paper rigorously tests flux-based statistical predictions for three-body systems by analyzing one million simulations, confirming the theory's high accuracy in predicting escape probabilities, exponents, and distributions.
Contribution
It provides the first high-precision validation of flux-based three-body statistical theory against extensive numerical simulations.
Findings
Escape probabilities match theoretical predictions within 1%.
Characteristic exponents agree with flux-based predictions.
Measured distributions support the validity of the statistical formalism.
Abstract
We present an extensive comparison between the statistical properties of non-hierarchical three-body systems and the corresponding three-body theoretical predictions. We perform and analyze 1 million realizations for each different initial condition considering equal and unequal mass three-body systems to provide high accuracy statistics. We measure 4 quantities characterizing the statistical distribution of ergodic disintegrations: escape probability of each body, the characteristic exponent for escapes by a narrow margin, predicted absorptivity as a function of binary energy and binary angular momentum, and, finally, the lifetime distribution. The escape probabilities are shown to be in agreement down to the 1% level with the emissivity-blind, flux-based theoretical prediction. This represents a leap in accuracy compared to previous three-body statistical theories. The characteristic…
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