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Updated: Jun 16, 2026

Angle-resolved Photoemission Spectroscopy At Ultra-low Temperatures
Published on: October 9, 2012
Electron spectroscopy of corrugated solid surfaces.
1Institute of Physics, Academy of Sciences of the Czech Republic. zemek@fzu.cz
Non-ideal surface topography affects electron spectroscopy. A semi-empirical method using atomic force microscopy (AFM) offers a practical solution for quantitative analysis of rough surfaces in X-ray induced photoelectron spectroscopy (XPS) and Auger electron spectroscopy (AES).
Area of Science:
- Surface science
- Materials characterization
- Spectroscopy
Background:
- Surface topography significantly influences electron spectral intensities in surface-sensitive techniques like XPS, AES, REELS, and EPES.
- Accurate quantitative analysis in electron spectroscopy is often limited by non-ideal, rough surfaces.
Purpose of the Study:
- To review methods for addressing the impact of non-ideal surface topography on electron spectroscopy.
- To evaluate different approaches for correcting or accounting for surface roughness in spectral intensity calculations.
Main Methods:
- Review of existing literature on surface topography correction in electron spectroscopy.
- Discussion of single-parameter correction methods.
- Analysis of computer simulations using models of surface roughness.
- Detailed examination of a semi-empirical method incorporating atomic force microscopy (AFM) for surface mapping.
Main Results:
- Single-parameter correction methods are too simplistic for complex topographies.
- Computer simulations aid in understanding phenomena related to surface roughness.
- The AFM-based semi-empirical method is suitable for arbitrary rough surfaces and can be integrated into quantitative procedures.
Conclusions:
- Addressing non-ideal surface topography is crucial for accurate electron spectroscopy.
- The AFM-based semi-empirical method provides a robust approach for quantitative analysis of rough surfaces.
- This method extends the applicability of quantitative procedures to real-world, non-ideal surfaces.
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