R. Preuss

Details der Publikationsliste

Zeitraum

1993 - 2009

Anzahl

195

Co-Autoren

Modeling Energy Confinement in Plasma (2008)

Devices By Neural, R. Preuss, M. Daghoferý, V. Dose

Energy confinement data of large fusion devices are analyzed in terms of reduced variables which consist of certain combinations of the machine variables. The goal is to predict the single variable...

Spectral Properties Fromquantum Monte Carlodata: (2008)

Consistent Approach Preuss, R. Preuss, W. Von, Der Linden, W. Hanke

Bayesian statistics in the frame of the maximum entropy concept has widely been used for inferential problems, particularly, to infer dynamic properties of strongly correlated fermion systems from...

New t formulae for the sputtering yield (2007)

W. Eckstein, R. Preuss

New t formulae for the energy and angular dependencies of the sputtering yield are proposed. Though they are empirical they give a better description of yield data, especially near the threshold for...

Bayesian analysis of magnetic island dynamics (2007)

R. Preuss, M. Maraschek, H. Zohm, V. Dose

The dynamics of neoclassical tearing modes (NTM) is theoretically described by the general-ized Rutherford equation for the magnetic island width [1, 2]: where µ0r τR τR

Formulae for cross sections and rate coefficients for partial electron impact ionization of CH 4 and H 2 (2007)

V. Dose, P. Pecher, R. Preuss

Robust, accurate and asymptotically exact cross section formulae for all direct and dissociative electron impact ionization channels of methane and hydrogen are presented. The parameter estimation...

Quantitative Analysis of Multicomponent Mass Spectra (2007)

R. Preuss, H. Kang, T. Schwarz-selinger, V. Dose

We present a method for the decomposition of mass spectra of gas mixtures together with the relevant calibration measurements. Only the consistent usage of calibration measurements, though noisy,...

HANDLING DISCORDANT DATA SETS (2007)

R. Preuss, P. Pecher, V. Dose

Abstract. Experimental data from different sources may suffer from discordant calibrations and possibly covers different regions of the independent variables. A model function spanning the complete...

and V. DOSE (2007)

R. Preuss

Abstract. Although the likelihood function is normalizeable with respect to the data there is no guarantee that the same holds with respect to the model parameters. This may lead to singularities in...

Continuous Evolution of the 2D Hubbard Model from an Insulator to a Metal (2007)

Preuss Putz And, R. Preuss, R. Putz, W. Hanke

We present Quantum-Monte-Carlo results for the momentum and frequency dependent spectral weight A( ~ k; !) showing the evolution from insulating to metallic behavior in the two-dimensional Hubbard...

Analysis of multicomponent mass spectra applying Bayesian (2007)

T. Schwarz-selinger, R. Preuss, V. Dose

In this paper we develop a method for the decomposition of mass spectra of gas mixtures together with the relevant calibration measurements. The method is based on Bayesian probability theory. Given...

MODEL COMPARISON WITH ENERGY CONFINEMENT DATA FROM LARGE FUSION EXPERIMENTS (2007)

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

Abstract. Bayesian probability theory is applied to the model selection problem in describing the energy confinement of a fusion plasma by scaling laws. Here several possible physical scenarios lead...

Dimensionally constrained energy confinement analysis of W7-AS data (2007)

V. Dose, R. Preuss

A recently assembled W7-AS stellarator database has been subject to dimensionally constrained confinement analysis. The analysis employs Bayesian inference. Dimensional information is taken from the...

DIMENSIONALLY EXACT FORM-FREE ENERGY CONFINEMENT SCALING IN W7-AS (2007)

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

A semi empirical theory for global energy confinement in the stellarator W7AS is presented. It employs elementary rules of probability theory together with the transformation properties of the basic...

Flux dependence of carbon chemical erosion by deuterium ions (2004)

Roth, J., Preuss, R., Bohmeyer, W., Brezinsek, S., Cambe, A., Gasarotto, E., ...

This version is available at the following URL: http://dx.doi.org/10.1088/0029-5515/44/11/L01

LETTER Flux dependence of carbon chemical erosion by deuterium ions (2004)

J. Roth, R. Preuss, W. Bohmeyer, S. Brezinsek, A. Cambe, E. Casarotto, ...

The chemical erosion of carbon in interaction with a hydrogen plasma has been studied in detail in ion beam experiments, and erosion yield values are available as a function of ion energy and surface...

Interaction of CH3 and H with amorphous hydrocarbon surfaces: estimation of reaction cross sections using Bayesian probability theory (2003)

Meier, M., Preuss, R., Dose, V.

The interaction of CH3 and H with amorphous hydrocarbon surfaces plays a central role during plasma deposition of such films. Recently, this interaction has been explored in particle beam...

Bayesian Analysis of Magnetic Island Dynamics (2003)

R. Preuss, M. Maraschek, H. Zohm, V. Dose

We examine a first order differential equation with respect to time used to describe magnetic islands in magnetically confined plasmas. The free parameters of this equation are obtained by employing...

Bayesian analysis of magnetic island dynamics (2002)

Preuss, R., Maraschek, M., Zohm, H., Dose, V.

We examine a first order differential equation with respect to time coming up in the description of magnetic islands in magnetically confined plasmas. The free parameters of this equation are...

Marginalization using the metric of the likelihood (2002)

Preuss, R., Dose, V.

Although the likelihood function is normalizeable with respect to the data there is no guarantee that the same holds with respect to the model parameters. This may lead to singularities in the...

Decomposition of multicomponent mass spectra using Bayesian probability theory (2002)

Kang, H. D., Preuss, R., Schwarz-Selinger, T., Dose, V.

We present a method for the decomposition of mass spectra of mixture gases using Bayesian probability theory. The method works without any calibration measurement and therefore applies also to the...

Decomposition of multicomponent mass spectra using Bayesian probability theory (2002)

H.D. Kang, R. Preuss, T. Schwarz-selinger, V. Dose

We present a method for the decomposition of mass spectra of mixture gases using Bayesian probability theory. The method works without any calibration measurement and therefore applies also to the...

Model comparison in plasma energy confinement scaling (1999)

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

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...

The Prior-Predictive Value: A Paradigm of Nasty Multi-Dimensional Integrals (1999)

W. Von, R. Preuss, V. Dose

At the heart of Bayesian model comparison lies the so-called priorpredictive value. In the important class of Quantified-MaxEnt applications analytic approximations are routinely used which often...

Pseudogaps and their Interplay with Magnetic Excitations in the doped 2D Hubbard Model (1997)

Preuss, R., Hanke, W., Gröber, C., Evertz, H. G.

On the basis of Quantum Monte Carlo simulations of the two-dimensional Hubbard model which cover the doping range from the under- to the over-doped regime, we find that the single-particle spectral...

T-Matrix Formulation of Impurity Scattering in Correlated Systems (1995)

Ziegler, W., Poilblanc, D., Preuss, R., Hanke, W., Scalapino, D. J.

Using a generalized T-matrix description which, in principle, exactly includes Coulomb correlations and potential scattering events, resonant and bound impurity states are discussed. Like in the...

Consistent Application of Maximum Entropy to Quantum-Monte-Carlo Data (1995)

Preuss, R., Hanke, W.

Bayesian statistics in the frame of the maximum entropy concept has widely been used for inferential problems, particularly, to infer dynamic properties of strongly correlated fermion systems from...

Consistent Application of Maximum Entropy to Quantum-Monte-Carlo Data (1995)

R. Preuss, W. Hanke

Bayesian probability theory along with the maximum entropy concept is widely used for inferential problems, particularly to infer dynamic properties of strongly correlated fermion systems from...

Quasiparticle Dispersion of the 2D Hubbard Model: From an Insulator to a Metal (1994)

Preuss, R., Hanke, W.

On the basis of Quantum-Monte-Carlo results the evolution of the spectral weight $A(\vec k, \omega)$ of the two-dimensional Hubbard model is studied from insulating to metallic behavior. As observed...

Conserving approximation for the three-band Hubbard model: flat quasiparticle dispersion (1994)

Putz, R., Preuss, R., Muramatsu, A., Hanke, W.

It is shown that the low-energy single-particle excitation-spectrum of the three-band Hubbard model at hole-dopings away from half-filling agrees remarkably well with Quantum Monte Carlo data and...

Spectral properties of the one-dimensional Hubbard model (1993)

Preuss, R., Muramatsu, A., Assaad, F. F., Hanke, W.

The spectral properties of the 1-D Hubbard model are obtained from quantum Monte Carlo simulations using the maximum entropy method. The one-particle excitations are characterized by dispersive...