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A Michelson Interferometer for Electron Cyclotron Emission Measurements on EAST

Plasma Science and Technology 2016年第12期18卷 1148-1154页

作者：刘永 stefan schmuck 赵海林 John FESSEY Paul TRIMBLE 刘祥朱则英臧庆胡立群 Institute of Plasma Physics Chinese Academy of Sciences CCFE Culham Science Centre

A Michelson interferometer, on loan from EFDA-JET（Culham, United Kingdom）has recently been commissioned on the experimental advanced superconducting tokamak（EAST,ASIPP, Hefei, China）. Following a successful in-situ absolute calibration the instrument is able to measure the electron cyclotron emission（ECE） spectrum, from 80 GHz to 350 GHz in extraordinary mode（X-mode） polarization, with high accuracy. This allows the independent determination of the electron temperature profile from observation of the second harmonic ECE and the possible identification of non-Maxwellian features by comparing higher harmonic emission with numerical simulations. The in-situ calibration results are presented together with the initial measured temperature profiles. These measurements are then discussed and compared with other independent temperature profile measurements. This paper also describes the main hardware features of the diagnostic and the associated commissioning test results.

关键词： EAST ECE interferometer calibration electron temperature

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Analytical and Numerical Investigations of Probabilistic Monochromatic Problem

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Journal of Applied Mathematics and Physics 2019年第4期7卷 793-808页

作者： stefan schmuck Jakob Svensson Istituto di Fisica del Plasma CNR Milan Italy Max-Planck-Institut für Plasmaphysik Teilinstitut Greifswald Greifswald Germany

A probabilistic formalism, relying on Bayes’ theorem and linear Gaussian inversion, is adapted, so that a monochromatic problem can be investigated. The formalism enables an objective test in probabilistic terms of the quantities and model concepts involved in the problem at hand. With this formalism, an amplitude (linear parameter), a frequency (non-linear parameter) and a hyperparameter of the Gaussian amplitude prior are inferred jointly given simulated data sets with Gaussian noise contributions. For the amplitude, an analytical normal posterior follows which is conditional on the frequency and the hyperparameter. The remaining posterior estimates the frequency with an uncertainty of MHz, while the convolution of a standard approach would achieve an uncertainty of some GHz. This improvement in the estimation is investigated analytically and numerically, revealing for instance the positive effect of a high signal-to-noise ratio and/or a large number of data points. As a fixed choice of the hyperparameter imposes certain results on the amplitude and frequency, this parameter is estimated and, thus, tested for plausibility as well. From abstract point of view, the model posterior is investigated as well.

关键词： Bayes’ Theorem Linear Inversion Uncertainty Monochromatic Spectral Limitation

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