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Diffuse reflection model and noise stabilization for tangential image tomographic reconstruction (TITR) code

机译:切向图像层析重建(TITR)代码的漫反射模型和噪声稳定

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A tomographic reconstruction code had been reported by us for inferring the poloidal emissivity of tokamak plasma from tangentially acquired images. Here we present modifications to the code that account for any diffuse reflections from the surfaces of walls enclosing the plasma. It is generally recognized that such reconstruction codes are highly susceptible to noise in the data. In this work we have analysed the sensitivity to noise for varying degrees of over-determinism in the set of equations; over-determinism is defined as the ratio of the number of detector signals available to the grid resolution of reconstruction. A tractable scheme for dividing the poloidal cross section into a finite number of unknown sub-tori and voids, while still keeping the over-determinism high, is incorporated. Finally it is shown that noise level >20% can be handled with over-determinism achievable from present day detector array/cameras. The singular value decomposition of the matrix, as used here, can be expected to converge even if any ill-conditioned matrix is encountered due to computational round-off errors in the estimation of chord lengths through sub-tori and voids.
机译:我们已经报告了层析重建代码,用于从切向采集的图像推断托卡马克等离子体的多倍体发射率。在这里,我们提出了对代码的修改,以解释来自封闭等离子体的壁表面的任何漫反射。通常公认的是,这样的重构码对数据中的噪声高度敏感。在这项工作中,我们分析了方程组中不同程度的过度确定性对噪声的敏感性。超确定性定义为可用的检测器信号数量与重建网格分辨率的比率。引入了一种可处理的方案,该方案可将极向性的横截面分为有限数量的未知子曲面和空隙,同时仍保持较高的确定性。最终表明,噪声水平> 20%可以通过当今的探测器阵列/摄像机实现的超确定性来处理。即使在遇到任何病态矩阵时,由于在通过子托里和空隙估计弦长时,由于计算上的舍入误差,遇到矩阵的奇异值分解时,也可以期望收敛。

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