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Related Experiment Videos

A fast automatic RBS/w channeling system for damage depth profiling.

H Niu1, L G Yuan, W T Chou

  • 1Department of Nuclear Science, National Tsing Hua University, Hsinchu, Taiwan, ROC.

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
|May 10, 2002
PubMed
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A new computer-aided system with goniometer control accurately measures damage depth profiles in silicon. This method provides reliable results comparable to SRIM simulations in under 30 minutes.

Area of Science:

  • Materials Science
  • Surface Science
  • Computational Physics

Background:

  • Accurate depth profiling is crucial for understanding material modifications.
  • Existing methods can be time-consuming or lack precision.
  • Ion channeling techniques offer potential for detailed subsurface analysis.

Purpose of the Study:

  • To establish a computer-aided system for precise damage depth profile measurements.
  • To automate the channeling direction searching process.
  • To validate the system's performance against established simulation methods.

Main Methods:

  • Development of a computer-aided data acquisition system coupled with goniometer control.
  • Implementation of a computer code for converting spectral data to depth profiles.

Related Experiment Videos

  • Utilizing tilt and azimuth direction searching for optimal channeling.
  • Analysis of self-implanted (100) silicon samples.

    • Main Results:

    • Successful establishment of a dedicated system for damage depth profiling.
    • Efficient channeling direction searching achieved along tilt and azimuth.
    • Conversion of measured spectra into accurate damage depth profiles.
    • Analysis time per sample reduced to approximately 20-30 minutes.

    Conclusions:

    • The developed system provides reliable damage depth profiles.
    • Results show good agreement with SRIM Monte Carlo simulations.
    • The system offers an efficient and accurate approach for materials analysis.