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Experimental data and model simulations of beam spread in the environmental scanning electron microscope
1Surface and Microanalysis Science Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899-8371, USA. scott.wight@nist.gov
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|October 6, 2001
Summary
This study compares electron beam spread measurements in environmental scanning electron microscopes with model predictions. The model captures scattering trends but shows systematic deviations from experimental data.
Area of Science:
- Physics
- Materials Science
- Microscopy
Background:
- Electron beam spreading in environmental scanning electron microscopy (ESEM) arises from electron scattering by gas molecules.
- This scattering creates an electron 'skirt' around the primary beam, affecting image resolution.
- Factors influencing skirt intensity include gas pressure, beam path length, beam energy, and gas composition.
Purpose of the Study:
- To compare experimental measurements of electron beam spread with predictions from an independently developed model.
- To validate the model's ability to describe electron scattering phenomena in ESEM.
Main Methods:
- Experimental measurements of electron beam skirt intensity were conducted under controlled ESEM conditions.
- A theoretical model was used to predict the radial intensity distribution of scattered electrons.
- Direct comparison between experimental data and model predictions.
Main Results:
- The developed model successfully predicts the general trends observed in experimental electron beam scattering intensities.
- A systematic deviation was observed between the model's predictions and the experimental measurements.
- The model's accuracy in predicting beam skirt intensity requires further refinement.
Conclusions:
- The model provides a valuable framework for understanding electron beam spread in ESEM.
- Further development is needed to reconcile model predictions with experimental observations for improved accuracy.
- Accurate modeling of beam spread is crucial for optimizing ESEM performance and data interpretation.