Effects of surface roughness on results in elastic recoil detection measurements

T. Sajavaara*, K. Arstila, Antti Laakso, J. Keinonen

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: LehtiartikkeliConference articleScientificvertaisarvioitu

20 Sitaatiot (Scopus)

Abstrakti

In order to study surface roughness effects on the elastic recoil detection analysis series of stainless steel samples were prepared to four different roughness by wet grinding and polishing. A multilayer film of B + C (20 nm thick)/Ti (220 nm)/B + C (20 nm) was electron beam evaporated on stainless steel samples and a flat silicon wafer. The time-of-flight elastic recoil detection analysis method utilizing a 53 MeV 127I10+ beam was used to measure energy spectra of the recoiling sample elements. The topography of the samples was determined by atomic force microscopy and the film thickness by Rutherford backscattering spectrometry. A Monte Carlo simulation program which uses a measured surface structure and takes fully account of multiple scattering was written to simulate the elastic recoil measurements. Effects observed in the experimental energy spectra, like broadening of the peaks of deep lying layers, were reproduced in the simulations. Multiple scattering is the dominant factor behind the broadening for flat surfaces. It enhances strongly also the broadening due to the surface roughness.

AlkuperäiskieliEnglanti
Sivut235-239
Sivumäärä5
JulkaisuNuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms
Vuosikerta161
DOI - pysyväislinkit
TilaJulkaistu - 1 tammik. 2000
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
Tapahtuma14th International Conference on Ion Beam Analysis and 6th European Conference on Accelerators in Applied Research and Technology - Dresden, Saksa
Kesto: 26 heinäk. 199930 heinäk. 1999

Rahoitus

This work was supported by the Academy of Finland, Project No. 44215. Financial support from Ehrnrooth Foundation is greatfully acknowledged. The authors wish to thank Mr. Mikko Krapu for performing the RBS analysis.

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