2012
DOI: 10.1039/c2ja10385k
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Characterization of ultra-shallow aluminum implants in silicon by grazing incidence and grazing emission X-ray fluorescence spectroscopy

Abstract: In this work two synchrotron radiation-based depth-sensitive X-ray fluorescence techniques, grazing incidence X-ray fluorescence (GIXRF) and grazing emission X-ray fluorescence (GEXRF), are compared and their potential for non-destructive depth-profiling applications is investigated. The depth-profiling capabilities of the two methods are illustrated for five aluminum-implanted silicon wafers all having the same implantation dose of 10 16 atoms per cm 2 but with different implantation energies ranging from 1 k… Show more

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Cited by 38 publications
(39 citation statements)
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“…This quantification approach was cross-checked by means of a reference sample, a 15 keV Al-implanted Si wafer which was characterized in [48]. Usually, quantification measurements are realized by recording the XRF intensity at a single sample position and deducing the studied elemental quantity contained in the sample from the XRF intensity.…”
Section: Resultsmentioning
confidence: 99%
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“…This quantification approach was cross-checked by means of a reference sample, a 15 keV Al-implanted Si wafer which was characterized in [48]. Usually, quantification measurements are realized by recording the XRF intensity at a single sample position and deducing the studied elemental quantity contained in the sample from the XRF intensity.…”
Section: Resultsmentioning
confidence: 99%
“…The high-resolution reflection-type von Hamos curved crystal X-ray spectrometer of the University of Fribourg [93] was installed downstream of the beamline's scanning X-ray microscope (SXM) chamber. The University of Fribourg's von Hamos spectrometer, when installed at the ESRF ID21 beamline and configured in the GEXRF geometry, has been characterized in terms of detection limits [42,43] and depth-profiling capabilities [47,48]. The main components of the spectrometer ( characterized in [94].…”
Section: Methodsmentioning
confidence: 99%
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“…For example, GIXRF and XRR support each other by using the same parameters for layer thicknesses and properties, such as density and roughness. 25 The improvement of results can be shown for other analytical techniques, too.…”
mentioning
confidence: 97%
“…In particular they are very useful for trace elements' analysis [6,16], characterization of thin layers [7,17] and depth profiling [18][19][20]. The usefulness of grazing XRF techniques for nanoparticle characterization has also been demonstrated [8,[21][22][23][24][25][26].…”
Section: Grazing Angle Geometriesmentioning
confidence: 99%