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Evaluation of the Component of the Systematic Error in X-Ray Microanalysis Attributed to the Surface Relief of the Sample

Abstract

A semi-empirical method of a priori estimates of the effect of surface relief on the results of binary compounds electron probe microanalysis is developed. The dimensionless parameter k which characterizes the effect of the surface relief on the intensity of characteristic x-ray is determined using experimental data obtained for test single-crystal GaAs samples with known geometrical parameters of the relief.

About the Authors

A. L. Vasil’Ev
Национальный исследовательский центр «Курчатовский институт»
Russian Federation


V. B. Mityukhlyaev
Научно-исследовательский центр по изучению свойств поверхности и вакуума
Russian Federation


A. A. Mikhutkin
Национальный исследовательский центр «Курчатовский институт»
Russian Federation


P. A. Todua
Научно-исследовательский центр по изучению свойств поверхности и вакуума; Московский физико-технический институт
Russian Federation


M. N. Filippov
Научно-исследовательский центр по изучению свойств поверхности и вакуума; Московский физико-технический институт; Институт общей и неорганической химии им. Н. С. Курнакова РАН
Russian Federation


References

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3. Small J. A., Heinrich K. F. J., Newbury D. E., Myklebust R. L. Progress in the development of the peak-to-background method for the quantitative analysis of single particles with the electron probe / Scanning Electron Microscopy. 1979. Vol. 2. P. 807 - 816.

4. Yamada A., Fons P., Matsubara K., et al. Electron beam probe quantization of compound composition: surface phases and surface roughness / Thin Solid Films. 2003. Vol. 431 - 432. P. 277 - 283.

5. Gauvin R., Lifshin E. Simulation of X-ray emission from rough surfaces / Microchim. Acta. 2000. Vol. 132. P. 201 - 204.


Review

For citations:


Vasil’Ev A.L., Mityukhlyaev V.B., Mikhutkin A.A., Todua P.A., Filippov M.N. Evaluation of the Component of the Systematic Error in X-Ray Microanalysis Attributed to the Surface Relief of the Sample. Industrial laboratory. Diagnostics of materials. 2016;82(12):15-18. (In Russ.)

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ISSN 1028-6861 (Print)
ISSN 2588-0187 (Online)