Microwave Analysis with Monte Carlo Methods for ECH Transmission Lines

被引：0
|
作者：
M. C. Kaufman
C. Lau
G. R. Hanson
机构：
[1] Oak Ridge National Laboratory,
来源：
Journal of Infrared, Millimeter, and Terahertz Waves | 2018年 / 39卷
关键词：
ITER; Transmission lines; Electron cyclotron heating; Monte Carlo;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A new code framework, MORAMC, is presented which model transmission line (TL) systems consisting of overmoded circular waveguide and other components including miter bends and transmission line gaps. The transmission line is modeled as a set of mode converters in series where each component is composed of one or more converters. The parametrization of each mode converter can account for the fabrication tolerances of physically realizable components. These tolerances as well as the precision to which these TL systems can be installed and aligned gives a practical limit to which the uncertainty of the microwave performance of the system can be calculated. Because of this, Monte Carlo methods are a natural fit and are employed to calculate the probability distribution that a given TL can deliver a required power and mode purity. Several examples are given to demonstrate the usefulness of MORAMC in optimizing TL systems.
引用
收藏
页码：456 / 482
页数：26
相关论文
共 50 条
  • [1] Microwave Analysis with Monte Carlo Methods for ECH Transmission Lines
    Kaufman, M. C.
    Lau, C.
    Hanson, G. R.
    JOURNAL OF INFRARED MILLIMETER AND TERAHERTZ WAVES, 2018, 39 (05) : 456 - 482
  • [2] Status of DTT ECH Transmission Lines and Antennae
    Fanale, F.
    Bruschi, A.
    Garavaglia, S.
    Moro, A.
    Baiocchi, B.
    Bonesso, M.
    Braghin, F.
    Busi, D.
    Dima, R.
    Fanelli, P.
    Figini, L.
    Gajetti, E.
    Granucci, G.
    Mascali, D.
    Passarello, S.
    Pepato, A.
    Platania, P.
    Rebesan, P.
    Romano, A.
    Salvitti, A.
    Savoldi, L.
    Simonetto, A.
    Schmuck, S.
    Torrisi, G.
    Turcato, M.
    IEEE TRANSACTIONS ON PLASMA SCIENCE, 2024, 52 (09) : 3778 - 3784
  • [3] Projection Monte Carlo methods: An algorithmic analysis
    Cerf, NJ
    Martin, OC
    INTERNATIONAL JOURNAL OF MODERN PHYSICS C-PHYSICS AND COMPUTERS, 1995, 6 (05): : 693 - 723
  • [4] Analysis of wavefunctions by Monte Carlo methods.
    Flad, HJ
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2003, 226 : U294 - U294
  • [5] The use of Monte Carlo methods in factor analysis
    Kuik, P.
    Blaauw, M.
    Sloof, J.E.
    Wolterbeek Th., H.
    Atmospheric Environment - Part A General Topics, 1993, 27 A (13): : 1967 - 1974
  • [6] MONTE CARLO METHODS - METHODS STATISTICAL TESTING/MONTE CARLO METHOD
    MULLER, ME
    ANNALS OF MATHEMATICAL STATISTICS, 1966, 37 (02): : 532 - &
  • [7] MODE CONTENT ANALYSIS FOR ECH TRANSMISSION LINES BY BURN PATTERN AND NONLINEAR OPTIMIZATION
    Ohkubo, K.
    Kubo, S.
    Shimozuma, T.
    Yoshimura, Y.
    Igami, H.
    Kobayashi, S.
    FUSION SCIENCE AND TECHNOLOGY, 2012, 62 (03) : 389 - 402
  • [8] On the Assessment of a New Stopping Criterion for the Monte Carlo Method Applied to the Analysis of the Lightning Performance of Transmission Lines
    Almeida, Frederico S.
    Silveira, Fernando H.
    Visacro, Silverio
    2021 35TH INTERNATIONAL CONFERENCE ON LIGHTNING PROTECTION (ICLP) AND XVI INTERNATIONAL SYMPOSIUM ON LIGHTNING PROTECTION (SIPDA), 2021,
  • [9] Monte Carlo methods
    Ginsberg, M
    DR DOBBS JOURNAL, 2000, 25 (04): : 34 - +
  • [10] MONTE CARLO METHODS
    WEISS, G
    PHYSICS TODAY, 1965, 18 (02) : 55 - &
12345