Andrew M. Fraser

TL;DR: In this paper, the mutual information I is examined for a model dynamical system and for chaotic data from an experiment on the Belousov-Zhabotinskii reaction.

TL;DR: A technique for analyzing time-series data from experiments is presented that provides estimates of four basic characteristics of a system: the measure-theoretic entropy; the accuracy of the measurements; the number of measurements necessary to specify a system state; the best delay time T to use in order to construct phase space portraits by the method of delays.

TL;DR: In this article, a delay-vector phase space reconstruction in which the delay time satisfies a minimum redundancy criterion is compared with a reconstruction obtained using a singular system approach, and the superiority of the redundancy analysis over the singular system analysis is found to arise from the former's foundation on the notion of general independence as opposed to the latter's foundation upon the linear independence.

TL;DR: A maximum likelihood/expectation maximization maximization tomographic reconstruction algorithm designed for the technique which exploits the multiple Coulomb scattering of muon particles to perform nondestructive inspection without the use of artificial radiation.

TL;DR: In this article, the multiple scattering of cosmic radiation as it transits each vehicle is used to obtain tomographic images of nuclear vehicles and containers, which could contribute to safe and robust border protection against nuclear devices or material in occupied vehicles.