11,499 research outputs found

    A Direct D-Bar Method for Partial Boundary Data Electrical Impedance Tomography With a Priori Information

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    Electrical Impedance Tomography (EIT) is a non-invasive imaging modality that uses surface electrical measurements to determine the internal conductivity of a body. The mathematical formulation of the EIT problem is a nonlinear and severely ill-posed inverse problem for which direct D-bar methods have proved useful in providing noise-robust conductivity reconstructions. Recent advances in D-bar methods allow for conductivity reconstructions using EIT measurement data from only part of the domain (e.g., a patient lying on their back could be imaged using only data gathered on the accessible part of the body). However, D-bar reconstructions suffer from a loss of sharp edges due to a nonlinear low-pass filtering of the measured data, and this problem becomes especially marked in the case of partial boundary data. Including a priori data directly into the D-bar solution method greatly enhances the spatial resolution, allowing for detection of underlying pathologies or defects, even with no assumption of their presence in the prior. This work combines partial data D-bar with a priori data, allowing for noise-robust conductivity reconstructions with greatly improved spatial resolution. The method is demonstrated to be effective on noisy simulated EIT measurement data simulating both medical and industrial imaging scenarios

    Kondo proximity effect: How does a metal penetrate into a Mott insulator?

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    We consider a heterostructure of a metal and a paramagnetic Mott insulator using an adaptation of dynamical mean field theory to describe inhomogeneous systems. The metal can penetrate into the insulator via the Kondo effect. We investigate the scaling properties of the metal-insulator interface close to the critical point of the Mott insulator. At criticality, the quasiparticle weight decays as 1/x^2 with distance x from the metal within our mean field theory. Our numerical results (using the numerical renormalization group as an impurity solver) show that the prefactor of this power law is extremely small.Comment: 4 pages, 3 figure

    "Japanese Fiscal Reform: Fiscal Reconstruction and Fiscal Policy"

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    This paper evaluates the recent movement of Japanese fiscal reform. We first summarize fiscal policy in 1990s. Then, we investigate several relevant topics of fiscal policy such as the macroeconomic impact of government debt and the ustainability problem. We then consider dynamic properties of fiscal reconstruction process by analyzing the dynamic game among various interest groups. This paper points out that the long-run structural reform is more important than the short-run Keynesian policy in Japan.
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