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Author Verbeeck, J.; Bertoni, G.
Title (up) Deconvolution of core electron energy loss spectra Type A1 Journal article
Year 2009 Publication Ultramicroscopy Abbreviated Journal Ultramicroscopy
Volume 109 Issue 11 Pages 1343-1352
Keywords A1 Journal article; Electron microscopy for materials research (EMAT)
Abstract Different deconvolution methods for removing multiple scattering and instrumental broadening from core loss electron energy loss spectra are compared with special attention to the artefacts they introduce. The Gaussian modifier method, Wiener filter, maximum entropy, and model based methods are described. Their performance is compared on virtual spectra where the true single scattering distribution is known. A test on experimental spectra confirms the good performance of model based deconvolution in comparison to maximum entropy methods and shows the advantage of knowing the estimated error bars from a single spectrum acquisition.
Address
Corporate Author Thesis
Publisher Place of Publication Amsterdam Editor
Language Wos 000270765800005 Publication Date 2009-07-01
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0304-3991; ISBN Additional Links UA library record; WoS full record; WoS citing articles
Impact Factor 2.843 Times cited 13 Open Access
Notes Fwo; Esteem 026019 Approved Most recent IF: 2.843; 2009 IF: 2.067
Call Number UA @ lucian @ c:irua:79073UA @ admin @ c:irua:79073 Serial 610
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Author Verbeeck, J.; Bertoni, G.
Title (up) Model-based quantification of EELS spectra: treating the effect of correlated noise Type A1 Journal article
Year 2008 Publication Ultramicroscopy Abbreviated Journal Ultramicroscopy
Volume 108 Issue 2 Pages 74-83
Keywords A1 Journal article; Electron microscopy for materials research (EMAT)
Abstract Correlated noise is generally present in experimentally recorded electron energy loss spectra due to a non-ideal electron detector. In this contribution we describe a method to experimentally measure the noise properties of the detector as well as the consequences it has for model-based quantification using maximum likelihood. The effect of the correlated noise on the maximum likelihood fitting results can be shown to be negligible for the estimated (co)variance of the parameters while an experimentally obtained scaling factor is required to correct the likelihood ratio test for the reduction of noise power with frequency. Both effects are derived theoretically under a set of approximations and tested for a range of signal-to-noise values using numerical experiments. Finally, an experimental example shows that the correction for correlated noise is essential and should always be included in the fitting procedure. (c) 2007 Elsevier B.V. All rights reserved.
Address
Corporate Author Thesis
Publisher Place of Publication Amsterdam Editor
Language Wos 000252816900002 Publication Date 2007-03-25
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0304-3991; ISBN Additional Links UA library record; WoS full record; WoS citing articles
Impact Factor 2.843 Times cited 16 Open Access
Notes FWO nr G.0147.06; ESTEEM 026019 Approved Most recent IF: 2.843; 2008 IF: 2.629
Call Number UA @ lucian @ c:irua:67602UA @ admin @ c:irua:67602 Serial 2103
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Author Verbeeck, J.; Bertoni, G.
Title (up) Model-based quantification of EELS: is standardless quantification possible? Type A1 Journal article
Year 2008 Publication Microchimica acta Abbreviated Journal Microchim Acta
Volume 161 Issue 3/4 Pages 439-443
Keywords A1 Journal article; Electron microscopy for materials research (EMAT)
Abstract Electron energy loss spectroscopy (EELS) is an ideal tool to obtain chemical information from nanoscale volumes. Quantification of the experimental spectra however has prevented for a long time access to the available information in a reliable and reproducible way. We present recent advances in model-based quantification of EELS spectra and show that we obtain the best possible precision for a given dataset, as well as remarkably good accuracies when applied to three different materials. The results are shown to be far superior over conventional quantification techniques and could hold a promise for standardless quantification of EELS spectra.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Wos 000256175600024 Publication Date 2008-02-22
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0026-3672;1436-5073; ISBN Additional Links UA library record; WoS full record; WoS citing articles
Impact Factor 4.58 Times cited 5 Open Access
Notes Esteem 026019; Fwo; G.0425.05; Iap V; Goa 2005 Approved Most recent IF: 4.58; 2008 IF: 1.910
Call Number UA @ lucian @ c:irua:69292UA @ admin @ c:irua:69292 Serial 2100
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