dorsal/arxiv
View SchemaDepth Profile Reconstruction from Rutherford Backscattering Data
| Authors | U. V. Toussaint, K. Krieger, R. Fischer, V. Dose |
|---|---|
| Categories | |
| ArXiv ID | physics/9811003 |
| URL | https://arxiv.org/abs/physics/9811003 |
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. Even in the case of strongly overlapping RBS peaks a depth profile reconstruction without noise fitting has been achieved. The adaptive kernel 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.
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"abstract": "An adaptive kernel method in the Bayesian framework together with a new\nsimulation program for Rutherford backscattering spectroscopy (RBS) have been\napplied to the analysis of RBS data. Even in the case of strongly overlapping\nRBS peaks a depth profile reconstruction without noise fitting has been\nachieved. The adaptive kernel method leads to the simplest depth profile\nconsistent with the data. Erosion and redeposition rates of carbon divertor\nplates in the fusion experiment ASDEX Upgrade could be determined by\nRBS-analysis of thin film probes before and after exposition to plasma\ndischarges.",
"arxiv_id": "physics/9811003",
"authors": [
"U. V. Toussaint",
"K. Krieger",
"R. Fischer",
"V. Dose"
],
"categories": [
"physics.data-an"
],
"title": "Depth Profile Reconstruction from Rutherford Backscattering Data",
"url": "https://arxiv.org/abs/physics/9811003"
},
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