journal article·2008-10

Use of Monte Carlo Modeling to Aid Interpretation and Quantification of the Low Energy-Loss Electron Yield at Low Primary Energies

Christopher Bonet, Andrew Pratt, Mohamed M. El-Gomati, Jim A.D. Matthew, Steven P. Tear

Microscopy and Microanalysis· Volume 14· Issue 5
Publisher page

Abstract

Abstract Experimental low-loss electron (LLE) yields were measured as a function of loss energy for a range of elemental standards using a high-vacuum scanning electron microscope operating at 5 keV primary beam energy with losses from 0 to 1 keV. The resulting LLE yield curves were compared with Monte Carlo simulations of the LLE yield in the particular beam/sample/detector geometry employed in the experiment to investigate the possibility of modeling the LLE yield for a series of elements. Monte Carlo simulations were performed using both the Joy and Luo [Joy, D.C. & Luo, S.,Scanning11(4), 176–180 (1989)] expression for the electron stopping power and recent tabulated values of Tanuma et al. [Tanuma, S. et al.,Surf Interf Anal37(11), 978–988 (2005)] to assess the influence of the more recent stopping power data on the simulation results. Further simulations have been conducted to explore the influence of sample/detector geometry on the LLE signal in the case of layered samples consisting of a thin C overlayer on an elemental substrate. Experimental LLE data were collected from a range of elemental samples coated with a thin C overlayer, and comparisons with Monte Carlo simulations were used to establish the overlayer thickness.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Electron and X-Ray Spectroscopy Techniques · Advancements in Photolithography Techniques · Semiconductor materials and devices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (36)

Show source-provided references
1. 10.1063/1.165491610.1063/1.1654916 ↗
2. Salvat · 2006
3. 10.1016/0304-3991(92)90187-O10.1016/0304-3991(92)90187-O ↗
4. 10.1002/sca.495023060210.1002/sca.4950230602 ↗
5. 10.1016/0168-583X(95)00349-510.1016/0168-583X(95)00349-5 ↗
6. 10.1016/0003-2670(93)85212-310.1016/0003-2670(93)85212-3 ↗
7. 10.1002/pssa.221150011810.1002/pssa.2211500118 ↗
8. A Monte Carlo study of the thickness determination of ultra-thin films10.1002/sca.4950240506 ↗
9. 10.1002/sia.97310.1002/sia.973 ↗
10. Backscattering coefficients for low energy electrons
11. 10.1016/S0168-583X(98)00318-810.1016/S0168-583X(98)00318-8 ↗
12. 10.1002/sia.152610.1002/sia.1526 ↗
13. 10.1002/sca.495021030410.1002/sca.4950210304 ↗
14. On the measurement of the backscattering coefficient for low energy electrons
15. 10.1002/sca.495023050210.1002/sca.4950230502 ↗
16. 10.1088/0034-4885/56/4/00210.1088/0034-4885/56/4/002 ↗
17. Joy D.C. (2001). Database of electron-solid interactions. Available at http://web.utk.edu/~srcutk/htm/interact.htm.
18. 10.1002/sia.220210.1002/sia.2202 ↗
19. Jablonski · 2002
20. 10.1002/pssa.221056015710.1002/pssa.2210560157 ↗
21. 10.1002/sia.209210.1002/sia.2092 ↗
22. 10.1016/S0368-2048(99)00036-510.1016/S0368-2048(99)00036-5 ↗
23. 10.1002/sia.74020020410.1002/sia.740200204 ↗
24. 10.1002/sca.495011040410.1002/sca.4950110404 ↗
25. 10.1063/1.34394210.1063/1.343942 ↗
26. 10.1088/0022-3727/35/12/32210.1088/0022-3727/35/12/322 ↗
27. 10.1002/sia.74021030210.1002/sia.740210302 ↗
28. 10.1063/1.10291410.1063/1.102914 ↗
29. 10.1103/PhysRevB.35.48210.1103/PhysRevB.35.482 ↗
30. Goldstein · 2002
31. 10.1063/1.165389910.1063/1.1653899 ↗
32. 10.1016/j.susc.2007.02.00610.1016/j.susc.2007.02.006 ↗
33. 10.1002/sca.495018080410.1002/sca.4950180804 ↗
34. 10.1016/S0169-4332(97)00225-010.1016/S0169-4332(97)00225-0 ↗
35. 10.1002/sia.209310.1002/sia.2093 ↗
36. 10.1002/sia.237010.1002/sia.2370 ↗