Data Treatment in Electron and Ion Spectroscopy.

Abstract

In order to fully utilize newly developed electron and ion surface spectroscopies, the data from these methods must be treated carefully to assure quality and clarity both during and after the experiment. Signal conditioning during the experiment puts the data into proper form for recording and may include steps for amplifying, digitizing, discriminating, modulating, gating, transforming and filtering. In Auger Electron Spectroscopy (AES) where modulation and synchronous detection methods are used, special tailored waveform modulation may be necessary to minimize elemental profile artifacts. Dynamic background subtraction, digital filtering and Fourier transforms improve the signal to noise ratio and facilitate further data processing. If possible, an entire spectrum should be digitally stored at each plotted point on the elemental depth profile. Such spectral storage allows retrieval and examination of the spectrum for peak shape changes or appearance of peaks which were not expected to occur. A point which must be considered is that in bulk spectroscopies we may accumulate signal for whatever period is necessary to obtain desired counting statistics while in surface spectroscopies using an ion beam (such as ISS and SIMS), the eroding surface is ever changing and only a finite time is available for counting at a given depth.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1979
Accession Number
ADA083201

Entities

People

  • William L. Baun

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Acquisition
  • Auger Electron Spectroscopy
  • Auger Electrons
  • Computers
  • Data Acquisition
  • Data Processing
  • Electron Energy
  • Electron Spectroscopy
  • Engineering
  • Filtration
  • Graphics
  • Ion Beams
  • Materials Laboratories
  • Recording Systems
  • Spectra
  • Spectroscopy
  • Standards

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Electronics Engineering
  • Thin Film Deposition Science.

Technology Areas

  • Microelectronics
  • Microelectronics - Graphene