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Related Experiment Video

Updated: Jun 28, 2026

All-electronic Nanosecond-resolved Scanning Tunneling Microscopy: Facilitating the Investigation of Single Dopant Charge Dynamics
11:33

All-electronic Nanosecond-resolved Scanning Tunneling Microscopy: Facilitating the Investigation of Single Dopant Charge Dynamics

Published on: January 19, 2018

Data scattering in scanning tunneling spectroscopy.

N Severin1, S Groeper, R Kniprath

  • 1Department of Physics, Humboldt University Berlin, Newtonstr. 15, D-12489 Berlin, Germany. severni@physik.hu-berlin.de

Ultramicroscopy
|October 25, 2008
PubMed
Summary
This summary is machine-generated.

Scanning tunneling spectroscopy (STS) data scattering at interfaces follows a lognormal distribution due to tip-surface distance variations. This finding offers a simple rule for sorting STS measurements for better analysis.

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Area of Science:

  • Surface science
  • Scanning probe microscopy
  • Materials characterization

Background:

  • Scanning tunneling spectroscopy (STS) is a powerful technique for probing electronic properties at surfaces.
  • Understanding data scattering in STS is crucial for accurate interpretation of experimental results.
  • Previous studies have not fully addressed the statistical nature of STS data scattering under various conditions.

Purpose of the Study:

  • To investigate the scattering behavior of current-voltage data from STS measurements.
  • To determine the statistical distribution governing STS data scattering at different interfaces.
  • To develop a method for improving the reliability of STS data.

Main Methods:

  • Utilized scanning tunneling spectroscopy (STS) at room temperature.
  • Performed measurements at a solid-liquid interface on highly oriented pyrolytic graphite (HOPG).
  • Conducted measurements in ultrahigh vacuum (UHV) on HOPG and Au(111) surfaces.

Main Results:

  • Current-voltage data scattering in STS can be described by a lognormal function.
  • This scattering behavior was observed under both solid-liquid interface and UHV conditions.
  • The lognormal distribution is attributed to a normal distribution of the tip-surface distance during measurements.

Conclusions:

  • The lognormal distribution provides a statistical framework for understanding STS data scattering.
  • A simple empirical rule for sorting STS data was established based on these findings.
  • The results enhance the reliability and interpretation of STS measurements in surface science.