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Wavelets, Curvelets and Multiresolution Analysis Techniques in Fast Z Pinch Research

机译:快速Z中的小波,Curvelets和多分辨率分析技术   捏研究

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摘要

Z pinches produce an X ray rich plasma environment where backlighting imagingof imploding targets can be quite challenging to analyze. What is required is adetailed understanding of the implosion dynamics by studying snapshot images ofits in flight deformations away from a spherical shell. We have used wavelets,curvelets and multiresolution analysis techniques to address some of thesedifficulties and to establish the Shell Thickness Averaged Radius (STAR) ofmaximum density, r*(N, {\theta}), where N is the percentage of the shellthickness over which we average. The non-uniformities of r*(N, {\theta}) arequantified by a Legendre polynomial decomposition in angle, {\theta}, and theidentification of its largest coefficients. Undecimated wavelet decompositionsoutperform decimated ones in denoising and both are surpassed by the curvelettransform. In each case, hard thresholding based on noise modeling is used.
机译:Z捏会产生富含X射线的等离子环境,在这种环境下,对内在目标的背光成像很难进行分析。所需要的是通过研究其远离球形壳体的飞行变形中的快照图像来详细了解内爆动力学。我们已经使用小波,曲线和多分辨率分析技术来解决其中的一些难题,并建立最大密度r *(N,{\ theta})的壳厚度平均半径(STAR),其中N是壳厚度的百分比我们平均。 r *(N,{\ theta})的非均匀性通过角度{\ theta}的勒让德多项式分解及其最大系数的确定来量化。未抽取的小波分解在去噪方面胜过抽取的小波,两者都被Curvelet变换超越。在每种情况下,都使用基于噪声建模的硬阈值。

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