1994
DOI: 10.1116/1.587180
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Secondary ion mass spectrometry analysis of ultrathin impurity layers in semiconductors and their use in quantification, instrumental assessment, and fundamental measurements

Abstract: The subject of this review is the secondary ion mass spectrometry (SIMS) analysis of ultrathin or delta layers of impurity in a semiconductor matrix and their use in establishing the limitations of SIMS depth profiling, exploring the fundamental processes occurring during analysis, and enhancing the quantification of SIMS data. Methods for extracting accurate information for the grower (concerning the material) and the analyst (concerning the SIMS instrument) are described. It is demonstrated that sets of SIMS… Show more

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Cited by 71 publications
(61 citation statements)
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“…The observed convolution-type arises primarily from ion-induced mixing of the 13 C and 12 C matrix and implantation of the 13 C further into the film (tailing) [18]. Analogous behavior has been observed for 30 Si implants in a 28 Si matrix [18]. Here we employ a simplified version of a convolution scheme that has been outlined previously [18,19].…”
Section: Secondary Ion Mass Spectrometrymentioning
confidence: 99%
See 1 more Smart Citation
“…The observed convolution-type arises primarily from ion-induced mixing of the 13 C and 12 C matrix and implantation of the 13 C further into the film (tailing) [18]. Analogous behavior has been observed for 30 Si implants in a 28 Si matrix [18]. Here we employ a simplified version of a convolution scheme that has been outlined previously [18,19].…”
Section: Secondary Ion Mass Spectrometrymentioning
confidence: 99%
“…Analogous behavior has been observed for 30 Si implants in a 28 Si matrix [18]. Here we employ a simplified version of a convolution scheme that has been outlined previously [18,19]. It combines a Gaussian with a standard deviation eff that accounts for ion-induced mixing and sources of uncorrelated convolution, such as sample roughness, and an exponential for the observed tailing, which has a characteristic decay length d .…”
Section: Secondary Ion Mass Spectrometrymentioning
confidence: 99%
“…If F Sample (z) is known, or can be approximated to a simple analytical function, as in the case of a δ-layer, then the response function for the given measurement conditions can be determined. Such an approach has been used in previous studies exploiting boron δ-layers in Si, which have been used to determine a generic SIMS response function capturing the essential ion-sample interactions [21]. Conversely, if R(E, z) were known precisely, then F Sample (z) could be obtained from a single SIMS profile by calculating explicitly the convolution R(E, z) ⊗ F Sample (z) for different models of the sample profile.…”
Section: Simsmentioning
confidence: 99%
“…The ρ u/d parameters are not linked directly to any physical ion-sample interactions. Broadly, however, ρ d (E P ) will be related to the depth of the ion induced distribution within the altered layer and the surface escape probability whilst ρ u (E P ) is related to the depth of any surface features, including effects such as surface roughening due to ion bombardment and the effective escape depth [21]. It is expected that ρ u (E P ) is small and tends towards 0.…”
Section: Simsmentioning
confidence: 99%
“…It has been suggested that a SIMS profile of a delta-doped layer can be described with an exponential trailing edge, a Gaussian-like rounded top and an exponential rising part. 4 The SIMS depth resolution could be evaluated with three parameters such as the intrinsic width and the growth and decay lengths up and down . In this report, GaAs delta-doped multilayers in Si were made and proposed as a delta-doped multilayer reference material for evaluation of SIMS depth resolution.…”
Section: Introductionmentioning
confidence: 99%