V. Dose

Details der Publikationsliste

Zeitraum

1986 - 2009

Anzahl

325

Co-Autoren

Background-Source Separation in astronomical images with Bayesian probability theory (I): the method (2009)

Guglielmetti, F., Fischer, R., Dose, V.

A probabilistic technique for the joint estimation of background and sources with the aim of detecting faint and extended celestial objects is described. Bayesian probability theory is applied to...

Analysis of Mixtures in Physical Spectra (2008)

R. Fischer, V. Dose

Abstract: A reversible jump Markov chain Monte Carlo technique is applied to estimate the number and parameters of peaks in ubiquitous physical problems in the framework of Bayesian probability...

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...

A Prior for Neural Networks Utilizing Enclosing Spheres for Normalization (2008)

U. V. Toussaint, S. Gori, V. Dose

Neural Networks are famous for their advantageous flexibility for problems when there is insufficient knowledge to set up a proper model. On the other hand this flexibility can cause overfitting and...

Analysis of Mixtures in Physical Spectra (2007)

R. Fischer, V. Dose

A reversible jump Markov chain Monte Carlo technique is applied to estimate the number and parameters of peaks in ubiquitous physical problems in the framework of Bayesian probability theory. 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...

Bayesian Background Estimation (2007)

R. Fischer, V. Dose, K. M. Hanson, W. Von, Der Linden

The ubiquitous problem of estimating the background of a measured spectrum is solved with Bayesian probability theory. A mixture model is used to capture the defining characteristics of the problem,...

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...

Physical Mixture Modeling with Unknown Number of Components (2007)

R. Fischer, V. Dose

Measured physical spectra often comprise an unknown number of components of known parametric family. A reversible jump Markov chain Monte Carlo (RJMCMC) technique is applied to the problem of...

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...

Bayesian model comparison using (2007)

From Ch Plasma, H. D. Kang, V. Dose

Gauss approximation on multicomponent mass spectra

HOW TO SEPARATE THE SIGNAL FROM THE BACKGROUND (2007)

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

Abstract. In many applications like radio astronomy and electron spectroscopy three sources contribute to the measured signal: the desired image, the noise, and an unknown slowly varying background....

Abstract. (2007)

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

Deconvolution of experimental measurements in e.g. electron or ion scattering can result in considerable resolution enhancement. It is usually assumed that the apparatus function which we wish to...

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...

BAYESIAN CONSIDERATION OF THE TOMOGRAPHY PROBLEM (2007)

K. Ertl, V. Dose, Euratom Association

ABSTRACT. Soft X-ray tomography has become a standard diagnostic equipment to investigate plasma profiles. Due to limitations in viewing-access and detector numbers the reconstruction of the...

Application of MaxEnt to inverse photoemission spectroscopy (2007)

M. Donath, V. Dose, Euratom Association

ABSTRACT. Information about the spectral density gained by inverse photoemission spectroscopy is distorted by the Fermi distribution and the apparatus function. In many cases recovery of the desired...

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...

EURATOM Association (2007)

V. Dose, R. Fischer

Abstract. Bayesian probability theory allows to infer an image given data constraints, prior knowledge, and background information. One ingredient of the background information is usually paid little...

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...

BAYESIAN ANALYSIS OF ION BEAM DIAGNOSTICS (2007)

U. V. Toussaint, R. Fischer, V. Dose

Abstract. Ion beam diagnostics are routinely used for quantitative analysis of the surface composition of mixture materials up to a depth of a few m. Unfortunately, advantageous properties of the...

THE VITAL IMPORTANCE OF PRIOR INFORMATION FOR THE DECOMPOSITION OF ION SCATTERING SPECTROSCOPY DATA (2007)

R. Fischer, V. Dose

ABSTRACT. The ubiquitous spectroscopic problem of decomposing overlapping lines is solved for ion scattering spectroscopy employing MaximumEntropy. The chosen example of Pd adsorption on a Ru surface...

Probabilistic Evaluation of Growth Models Based on Time Dependent Auger Signals (2007)

V. Dose, N. Memmel, R. Fischer

The time-dependent Auger intensity measured during epitaxial growth of ultra-thin films is routinely used to study the growth process. The Auger signal yields integrated information about the...

Depth profile reconstruction from rutherford backscattering data (2007)

U. V. Toussaint, K. Krieger, R. Fischer, V. Dose

Abstract. An adaptive kernel method in the Bayesian framework together with a new simulation program for Rutherford backscattering spectroscopy (RBS) have been applied to the analysis of RBS data....

BAYESIAN GROUP ANALYSIS (2007)

W. Von, Der Linden, V. Dose, A. Ramaswami

In many fields of research the following problem is encountered: a large collection of data is given for which a detailed theory is yet missing. To gain insight into the underlying problem it is...

EVIDENCE INTEGRALS (2007)

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

Abstract. Evidence integrals are a key ingredient of quantified maximum entropy (QME). They allow to evaluate hyper-parameters which in turn determine the amount of regularization, the noise level,...

A Bayesian Approach to the Global Confinement Time Scaling in W7AS (2007)

V. Dose, A. Garrett

Abstract. A recently assembled W7AS stellarator database, consisting of 143 electron cyclotron resonance (ECR) heated discharges, 51 discharges heated by neutral beam injection (NI), and 5 discharges...

Bayesian Reconstruction of Surface Roughness and Depth Profiles (2004)

M. Mayer, R. Fischer, S. Lindig, U. Von Toussaint, R.W. Stark, V. Dose

Bayesian data analysis provides a consistent probabilistic theory for the extraction of sample parameters from spectra measured with MeV ion beam analysis methods. The application of Bayesian data...

Radical detection in a methane plasma (2003)

Kang,H. D., Dose,V.

We present a method for detecting and quantifying the concentration of free radicals produced in a low temperature methane process plasma employing quadrupole mass spectrometry and Bayesian analysis....

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...

Outlier tolerant parameter estimation (1999)

V. Dose, W. Von, Der Linden

Abstract. Real world does not only provide noisy instead of perfect data. Every experimentalist has now and then to deal with outliers. The situation is simple if isolated points stick out of the...

Bayesian reconstruction of electron energy distributions in helium plasmas from emission line intensities (1999)

R. Fischer, W. Jacob, W. Von, Der Linden, V. Dose

Abstract. Low-pressure plasmas are nowadays widely used for technical applications of plasma-surface interactions, such as plasma etching, material deposition, sputtering, etc. For a thorough...

Depth Profile Determination with Confidence Intervals from Rutherford Backscattering Data (1999)

U V Toussaint, R Fischer, K Krieger, V Dose

A new simulation program for Rutherford backscattering spectroscopy (RBS) together with an adaptive kernel method in the Bayesian probability theory framework was applied to the analysis of RBS data....

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...

Depth Profile Reconstruction from Rutherford Backscattering Data (1998)

Toussaint, U. V., Krieger, K., Fischer, R., Dose, V.

An adaptive kernel method in the Bayesian framework together with a new simulation program for Rutherford backscattering spectroscopy (RBS) have been applied to the analysis of RBS data. Even in the...

Adaptive kernels and occam's razor in inversion problems (1996)

R. Fischer, V. Dose

Following the adaptive-kernel methods in density estimation theory we extend the quantified maximum entropy concept by locally varying correlations. The smoothing property of the adaptive kernels are...

On the importance of ff marginalization in maximum entropy (1996)

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

Abstract. The correct entropic prior, computed by marginalization over the regularization parameter ff, is used to invert photoemission data and to restore the famous "Susie "...