Model Comparison in Plasma Energy Confinement Scaling

R. Preuss, V. Dose, W. Von Der Linden

Publikation: Beitrag in Buch/Bericht/KonferenzbandSonstiger Beitrag in Buch/Bericht/KonferenzbandForschungBegutachtung

Abstract

Energy confinement data of large fusion experiments have been analyzed in terms of dimensionless form free scaling functions. Several possible physical scenarios lead to different models with a certain number of degrees of freedom. These are used to set up the confinement fonction as a linear combination of dimensionless power law terms. Then one has to solve the problem, given a particular plasma model which is the optimum number of terms in the expansion, and which model is most likely in the light of the data. Based upon data containing the energy content for a wide variety of variable settings, predictions for single variable scans are made and compared to actual experiments. A very good agreement is obtained.
Originalspracheenglisch
TitelMaximum Entropy and Bayesian Methods Garching, Germany 1998
Redakteure/-innenWolfgang von der Linden, Volker Dose, Rainer Fischer, Roland Preuss
Herausgeber (Verlag)Springer Netherlands
Seiten171-178
Seitenumfang8
ISBN (Print)978-94-010-5982-4 978-94-011-4710-1
PublikationsstatusVeröffentlicht - 1999

Publikationsreihe

NameFundamental Theories of Physics
Herausgeber (Verlag)Springer Netherlands

Fingerprint

scaling
energy
degrees of freedom
fusion
expansion
predictions

Schlagwörter

    Dies zitieren

    Preuss, R., Dose, V., & Linden, W. V. D. (1999). Model Comparison in Plasma Energy Confinement Scaling. in W. V. D. Linden, V. Dose, R. Fischer, & R. Preuss (Hrsg.), Maximum Entropy and Bayesian Methods Garching, Germany 1998 (S. 171-178). (Fundamental Theories of Physics). Springer Netherlands.

    Model Comparison in Plasma Energy Confinement Scaling. / Preuss, R.; Dose, V.; Linden, W. Von Der.

    Maximum Entropy and Bayesian Methods Garching, Germany 1998. Hrsg. / Wolfgang von der Linden; Volker Dose; Rainer Fischer; Roland Preuss. Springer Netherlands, 1999. S. 171-178 (Fundamental Theories of Physics).

    Publikation: Beitrag in Buch/Bericht/KonferenzbandSonstiger Beitrag in Buch/Bericht/KonferenzbandForschungBegutachtung

    Preuss, R, Dose, V & Linden, WVD 1999, Model Comparison in Plasma Energy Confinement Scaling. in WVD Linden, V Dose, R Fischer & R Preuss (Hrsg.), Maximum Entropy and Bayesian Methods Garching, Germany 1998. Fundamental Theories of Physics, Springer Netherlands, S. 171-178.
    Preuss R, Dose V, Linden WVD. Model Comparison in Plasma Energy Confinement Scaling. in Linden WVD, Dose V, Fischer R, Preuss R, Hrsg., Maximum Entropy and Bayesian Methods Garching, Germany 1998. Springer Netherlands. 1999. S. 171-178. (Fundamental Theories of Physics).
    Preuss, R. ; Dose, V. ; Linden, W. Von Der. / Model Comparison in Plasma Energy Confinement Scaling. Maximum Entropy and Bayesian Methods Garching, Germany 1998. Hrsg. / Wolfgang von der Linden ; Volker Dose ; Rainer Fischer ; Roland Preuss. Springer Netherlands, 1999. S. 171-178 (Fundamental Theories of Physics).
    @inbook{60b102395300489e9d03508ef143958f,
    title = "Model Comparison in Plasma Energy Confinement Scaling",
    abstract = "Energy confinement data of large fusion experiments have been analyzed in terms of dimensionless form free scaling functions. Several possible physical scenarios lead to different models with a certain number of degrees of freedom. These are used to set up the confinement fonction as a linear combination of dimensionless power law terms. Then one has to solve the problem, given a particular plasma model which is the optimum number of terms in the expansion, and which model is most likely in the light of the data. Based upon data containing the energy content for a wide variety of variable settings, predictions for single variable scans are made and compared to actual experiments. A very good agreement is obtained.",
    keywords = "Artificial Intelligence (incl. Robotics), Coding and Information Theory, Discrete Mathematics in Computer Science, Invariant Measure, model comparison, Prior Predictive Value, Probability Theory and Stochastic Processes, Statistics, general",
    author = "R. Preuss and V. Dose and Linden, {W. Von Der}",
    note = "DOI: 10.1007/978-94-011-4710-118",
    year = "1999",
    language = "English",
    isbn = "978-94-010-5982-4 978-94-011-4710-1",
    series = "Fundamental Theories of Physics",
    publisher = "Springer Netherlands",
    pages = "171--178",
    editor = "Linden, {Wolfgang von der} and Volker Dose and Rainer Fischer and Roland Preuss",
    booktitle = "Maximum Entropy and Bayesian Methods Garching, Germany 1998",
    address = "Netherlands",

    }

    TY - CHAP

    T1 - Model Comparison in Plasma Energy Confinement Scaling

    AU - Preuss, R.

    AU - Dose, V.

    AU - Linden, W. Von Der

    N1 - DOI: 10.1007/978-94-011-4710-118

    PY - 1999

    Y1 - 1999

    N2 - Energy confinement data of large fusion experiments have been analyzed in terms of dimensionless form free scaling functions. Several possible physical scenarios lead to different models with a certain number of degrees of freedom. These are used to set up the confinement fonction as a linear combination of dimensionless power law terms. Then one has to solve the problem, given a particular plasma model which is the optimum number of terms in the expansion, and which model is most likely in the light of the data. Based upon data containing the energy content for a wide variety of variable settings, predictions for single variable scans are made and compared to actual experiments. A very good agreement is obtained.

    AB - Energy confinement data of large fusion experiments have been analyzed in terms of dimensionless form free scaling functions. Several possible physical scenarios lead to different models with a certain number of degrees of freedom. These are used to set up the confinement fonction as a linear combination of dimensionless power law terms. Then one has to solve the problem, given a particular plasma model which is the optimum number of terms in the expansion, and which model is most likely in the light of the data. Based upon data containing the energy content for a wide variety of variable settings, predictions for single variable scans are made and compared to actual experiments. A very good agreement is obtained.

    KW - Artificial Intelligence (incl. Robotics), Coding and Information Theory, Discrete Mathematics in Computer Science, Invariant Measure, model comparison, Prior Predictive Value, Probability Theory and Stochastic Processes, Statistics, general

    M3 - Other chapter contribution

    SN - 978-94-010-5982-4 978-94-011-4710-1

    T3 - Fundamental Theories of Physics

    SP - 171

    EP - 178

    BT - Maximum Entropy and Bayesian Methods Garching, Germany 1998

    A2 - Linden, Wolfgang von der

    A2 - Dose, Volker

    A2 - Fischer, Rainer

    A2 - Preuss, Roland

    PB - Springer Netherlands

    ER -