The use of maximum entropy and Bayesian techniques in nuclear microprobe applications

Autor:	R. Fischer, Volker Dose, J. Padayachee, V. M. Prozesky, Chris Ryan, W. von der Linden
Rok vydání:	1997
Předmět:	Bayesian statistics Physics Nuclear and High Energy Physics Microprobe Principle of maximum entropy Information recovery Bayesian probability Detector Analytical chemistry Deconvolution Inverse problem Instrumentation Algorithm
Zdroj:	ResearcherID
ISSN:	0168-583X
DOI:	10.1016/s0168-583x(97)00217-6
Popis:	This paper presents an overview of the Bayesian Formalism (BF) and Maximum Entropy (ME), as well as applications of the theory to various ion-beam and nuclear microprobe (NMP) related work. The Bayesian formalism is an efficient and theoretically sound technique of information recovery, with special applications in ill-posed inverse problems, such as detector function deconvolution. Results are presented showing the promise of Bayesian Statistics and Maximum Entropy in PIXE spectrum deconvolution, deconvolution of the beam profile from one-dimensional scans and the recovery of depth profiles in RBS.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78aa671fbb6dcc4e47f097d534017f23 https://doi.org/10.1016/s0168-583x(97)00217-6 Zobrazit plný text záznamu Full Text from ScienceDirect