Engineered photonic waveguides have provided in the past decade an extremely rich
laboratory tool to visualize with optical waves the classic analogues of a wide variety of …

Bayesian inference provides a consistent method for the extraction of information from
physics experiments even in ill-conditioned circumstances. The approach provides a unified …

A new method of full-profile refinement is developed on the basis of the minimization of the
derivatives of the profile difference curve. The use of the derivatives instead of the absolute …

In this paper, the problem of estimating the background of a spectrum is addressed. We
propose to fit this background to a low-order polynomial, but rather than determining the …

This paper jointly addresses the problems of chromatogram baseline correction and noise
reduction. The proposed approach is based on modeling the series of chromatogram peaks …

This paper introduces general ideas and some basic methods of the Bayesian probability
theory applied to physics measurements. Our aim is to make the reader familiar, through …

A probabilistic data analysis method was applied to analyze the spatially resolved beam
emission intensities from the lithium beam diagnostic at ASDEX Upgrade. The method …

This report describes the Bayesian approach to probability theory with emphasis on the
application to the evaluation of experimental data. A brief summary of Bayesian principles is …

The knowledge of the effective ion charge Z eff which indicates the degree of plasma
pollution is of high interest, since the tolerable impurity concentration to achieve successful …

The problem of assigning probability distributions which reflect the prior information
available about experiments is one of the major stumbling blocks in the use of Bayesian …