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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Self-consistent ion beam analysis: An approach by multi-objective optimization

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Author(s):
Silva, T. F. [1] ; Rodrigues, C. L. [1] ; Added, N. [1] ; Rizzutto, M. A. [1] ; Tabacniks, M. H. [1] ; Hoschen, T. [2] ; von Toussaint, U. [2] ; Mayer, M. [2]
Total Authors: 8
Affiliation:
[1] Univ Sao Paulo, Inst Fis, Rua Matao, Trav R 187, BR-05508090 Sao Paulo - Brazil
[2] Max Planck Inst Plasma Phys, Boltzmannstr 2, D-85748 Garching - Germany
Total Affiliations: 2
Document type: Journal article
Source: NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIO; v. 506, p. 32-40, NOV 1 2021.
Web of Science Citations: 0
Abstract

Ion Beam Analysis (IBA) comprises a set of analytical techniques suited for material analysis, many of which are rather closely related. Self-consistent analysis of several IBA techniques takes advantage of this close relationship to combine different Ion Beam measurements in a unique model to obtain an improved characterization of the sample. This approach provides a powerful tool to obtain an unequivocal and reliable model of the sample, increasing confidence and reducing ambiguities. Taking advantage of the recognized reliability and quality of the simulations provided by SIMNRA, we developed a multi-process program for a self consistent analysis based on SIMNRA calculations. MultiSIMNRA uses computational algorithms to minimize an objective function running multiple instances of SIMNRA. With four different optimization algorithms, the code can handle sample and setup parameters (including correlations and constraints), to find the set of parameters that best fits simultaneously all experimental data. (AU)

FAPESP's process: 12/00202-0 - Scientific research in the São Paulo museums
Grantee:Márcia de Almeida Rizzutto
Support type: Regular Research Grants