Prediction of First Order Focusing Properties of Ideal Hemispherical Deflector Analyzer Using Artificial Neural Network

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dc.contributor.authorIşık, N.
dc.contributor.authorIşık, Ali Hakan
dc.contributor.authorŞişe, Ömer
dc.contributor.authorGüvenç, Uğur
dc.date.accessioned2020-04-30T23:21:17Z
dc.date.available2020-04-30T23:21:17Z
dc.date.issued2017
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description6th Congress and Exhibition on International Advances in Applied Physics and Materials Science (APMAS) -- JUN 01-03, 2016 -- Istanbul, TURKEYen_US
dc.descriptionGUVENC, Ugur/0000-0002-5193-7990en_US
dc.descriptionWOS: 000396118600003en_US
dc.description.abstractElectrostatic energy analyzers are irreplaceable instruments to analyze the electron beams energies. In this context, the knowledge of electron trajectories in electrostatic energy analyzers has major importance in collision physics as well as in different scientific instruments for surface science. In this study, electron trajectories for different energies in an ideal field 180 degrees hemispherical deflector analyzer are investigated by artificial neural network prediction method. The SIMION 8.1 simulation program is used as a data source for training and testing of artificial neural network. Artificial neural network based prediction has been performed using Matlab R2012b program. Obtained performance results indicate that this approach provides new perspectives for the rapid solution to the problems in charged particle optics.en_US
dc.description.sponsorshipMehmet Akif Ersoy University Scientific ProjectsMehmet Akif Ersoy University [NAP-0337-16, NAP-0296-16]en_US
dc.description.sponsorshipThis research has been supported by Mehmet Akif Ersoy University Scientific Projects. Project numbers: NAP-0337-16 and NAP-0296-16.en_US
dc.identifier.doi10.12693/APhysPolA.131.10en_US
dc.identifier.endpage12en_US
dc.identifier.issn0587-4246
dc.identifier.issn1898-794X
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage10en_US
dc.identifier.urihttps://doi.org/10.12693/APhysPolA.131.10
dc.identifier.urihttps://hdl.handle.net/20.500.12684/4169
dc.identifier.volume131en_US
dc.identifier.wosWOS:000396118600003en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPolish Acad Sciences Inst Physicsen_US
dc.relation.ispartofActa Physica Polonica Aen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titlePrediction of First Order Focusing Properties of Ideal Hemispherical Deflector Analyzer Using Artificial Neural Networken_US
dc.typeArticleen_US

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