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Wavelets, Curvelets and Multiresolution Analysis in Inertial Confinement Fusion (ICF) Research
Applied Math| Speaker: | Bedros Afeyan, Polymath Research Inc. |
| Location: | 693 Kerr |
| Start time: | Tue, Apr 12 2005, 4:10PM |
Description
We will present highlights in ICF research involving wavelet methods.
From numerical simulation techniques to experimental data analysis,
wavelets are making an impact in ICF research. Whether it is (i) the
characterization of the 3D surface roughness of ICF targets or the
roughness of inner surfaces, or (ii) the implosion characteristics of
highly nonlinear Rayleigh-Taylor instability degraded performance in 2D
simulations, or those of smooth ripple free targets which ignite,
(iii) whether it is double Z pinch Hohraums and their radiation
symmetry from X ray backlit images, or (iv) the single wire or
collective wire array behavior of nested wire array Z pinch shots, all
the way to (v) denoising particle-in-cell (PIC) simulations using
wavelet techniques, the unifying theme is multiresolution analysis,
wavelets and curvelets in 1, 2 or 3 dimensional settings.
Multiscale or disparate scale phenomena which require simultaneous
analysis, and not the averaging over of one (the fast scales) to have
one way communication between scales (to the slow), is the mathematical
setting of this work. The techniques include variational minimization
over redundant libraries of functions including spherical harmonics and
Legendre polynomials. Separation of features with different smoothness
properties on different scales or different degrees of symmetry is our
goal in many of these applications.
Many of these results should have applications in biological data
analysis or molecular dynamics simulations or anywhere where adaptivity
to disparate scales is advantageous.
Work supported by Sandia National Laboratories, General Atomics and DOE.
