Depth Profile Reconstructions From Rutherford Backscattering Data
An adaptive kernal method in the Bayesian framework together with a new simulation program for Rutherford Backscattering spectroscopy have been applied to the analysis of RBS data. Even in the case of strongly overlapping RBS peaks a depth profile reconstruction without noise fitting has been achieved. The adaptive kernal method leads to the simplest depth profile consistent with the data. Erosion and redeposition rates of carbon divertor plates in the fusion experiment ASDEX Upgrade could be determined by RBS-analysis of thin film probes before and after exposition to plasma discharges.
Bibliographic Reference: Article: Maximum Entropy and Bayesian Methods, 107-114
Record Number: 199911422 / Last updated on: 1999-10-01
Original language: en
Available languages: en