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Andrew M. Fraser
Researcher at Los Alamos National Laboratory
Publications - 37
Citations - 5527
Andrew M. Fraser is an academic researcher from Los Alamos National Laboratory. The author has contributed to research in topics: Scattering & Expectation–maximization algorithm. The author has an hindex of 17, co-authored 37 publications receiving 5114 citations. Previous affiliations of Andrew M. Fraser include Portland State University & Mount Sinai Hospital.
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Journal ArticleDOI
Independent coordinates for strange attractors from mutual information.
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.
Journal ArticleDOI
Information and entropy in strange attractors
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.
Journal ArticleDOI
Reconstructing attractors from scalar time series: A comparison of singular system and redundancy criteria
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.
Journal ArticleDOI
Statistical Reconstruction for Cosmic Ray Muon Tomography
Larry J. Schultz,G. S. Blanpied,Konstantin N. Borozdin,Andrew M. Fraser,Nicolas W. Hengartner,Alexei V. Klimenko,Christopher Morris,C. Oram,M. Sossong +8 more
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.
Journal ArticleDOI
Tomographic Imaging with Cosmic Ray Muons
Christopher Morris,C. C. Alexander,J. D. Bacon,Konstantin N. Borozdin,D. J. Clark,Rick Chartrand,C. Espinoza,Andrew M. Fraser,M. Galassi,J. A. Green,J. Gonzales,J.J. Gomez,Nicolas W. Hengartner,Gary E. Hogan,Alexei V. Klimenko,Mark Makela,P. L. McGaughey,J. Medina,F. E. Pazuchanics,William C. Priedhorsky,John Ramsey,Alexander Saunders,R. Schirato,Larry J. Schultz,M. Sossong,G. S. Blanpied +25 more
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.