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Kenji Ueda

Publications and source records attributed to Kenji Ueda.

5 recordsLinked to original sources
arXiv2025

High performance beam transport with multi-stage acceleration system and its application to plasma potential measurement in fusion plasmas

In accelerators, ion beams are often accelerated using electrostatic accelerating tubes. This paper reports on a method to improve the beam transport efficiency without adding new components to the beam transport system. High beam currents often suffer from a beam loss in a transport line. When Au negative ion beams are injected into a tandem accelerator, numerical simulations of low-energy ion beam transport have found that the beam loss increases significantly when the Au or Cu negative ion beam current exceeds 100 ${\mu}$A due to space-charge effects. We found that the transport efficiency is significantly improved by remaining constant beam energy accelerated at the multi-stage accelerator tube and by providing an electrostatic lens effect. In the heavy ion beam probe system (HIBP) system of the Large Helical Device (LHD) for plasma potential measurement, the negative ion beam current injected into the tandem accelerator could be increased by a factor of 3.6. As a result, the output of Au$^+$ beam current at the tandem accelerator used to measure the LHD plasma potential was increased from about 3 ${\mu}$A to 12$ {\mu}$A and it was demonstrated that the average electron density in the plasma could be measured up to $1.75\times10^{19}m^{-3}$. This method is effective and widely applicable to improve the performance of low-energy heavy-ion beam transport systems output from the first stage of tandem accelerators and ion sources by adding a lens effect to the multi-stage accelerator tubes.

physics.acc-ph↗
arXiv2024

Nonlinear Bayesian Doppler Tomography for Simultaneous Reconstruction of Flow and Temperature

We present a nonlinear Bayesian tomographic framework for Doppler spectral imaging that enables simultaneous reconstruction of emissivity, ion temperature, and flow velocity from line-integrated spectra. The method employs nonlinear Gaussian process tomography (GPT) with a Laplace approximation while retaining the full Doppler forward model. A log-Gaussian process prior stabilizes the velocity reconstruction in low-emissivity regions where Doppler information becomes weak, preventing the unphysical divergence of velocity estimates commonly encountered in conventional spectral tomography. The reconstruction method is verified using synthetic phantom data and applied to coherence imaging spectroscopy (CIS) measurements in the RT-1 device, resolving spatial structures of ion temperature and toroidal ion flow characteristic of magnetospheric plasma in the RT-1 device. The framework extends existing CIS tomography to regimes with strong flows and large temperature variations and provides a general Bayesian approach for Doppler spectral tomography that can be integrated with complementary spectroscopic diagnostics.

physics.plasm-ph↗
arXiv2024

Nonlinear Gaussian process tomography with imposed non-negativity constraints on physical quantities for plasma diagnostics

We propose a novel tomographic method, nonlinear Gaussian process tomography (nonlinear GPT), that uses the Laplace approximation to impose constraints on non-negative physical quantities, such as the emissivity in plasma optical diagnostics. While positive-valued posteriors have previously been introduced through sampling-based approaches in the original GPT method, our alternative approach implements a logarithmic Gaussian process (log-GP) for faster computation and more natural enforcement of non-negativity. The effectiveness of the proposed log-GP tomography is demonstrated through a case study using the Ring Trap 1 (RT-1) device, where log-GPT outperforms existing methods, standard GPT, and the Minimum Fisher Information (MFI) methods in terms of reconstruction accuracy. The results highlight the effectiveness of nonlinear GPT for imposing physical constraints in applications to an inverse problem.

physics.plasm-ph↗
arXiv2020

Structural insight using anomalous XRD into Mn2CoAl Heusler alloy films grown by magnetron sputtering, IBAS and MBE techniques

Inverse Heusler alloy Mn2CoAl thin films, known as a spin-gapless semiconductor (SGS), grown by three different methods: ultra-high vacuum magnetron spattering, Ar-ion beam assisted sputtering, and molecular beam epitaxy, are investigated by comparing their electric transport properties, microstructures and atomic-level structures. Of the samples, the Mn2CoAl thin film grown by MBE consists of Mn- and Co-rich phases, the structures of which are determined to be the L21B-type and disordered L21-type, respectively, according to anomalous XRD analysis. None of them forms the XA-type structure expected for SGS Heusler alloy, although they all show SGS characteristics. We suggest, to validate SGS characteristics, it is necessary to extract not only magnetic and electric transport properties but also information about microstructures and atomic-scale structures of the films including defects such as atomic swap.

cond-mat.mtrl-sci↗