Auger Electron Spectroscopy (AES) and Data Processing Short Course

The course is taught by John T. Grant, who has over 40 years experience in surface analysis, and who has been teaching such courses for many years. He had been a Distinguished Research Scientist at the University of Dayton for over 30 years. He is now a consultant in surface analysis. He is co-editor of the book: Surface Analysis by Auger and X-ray Photoelectron Spectroscopy

Course content:

• Introduction – terminology, surfaces, types of surfaces.
• The principles of AES – production of Auger electrons, peak labelling, ionization cross-sections, handbooks, books, surface sensitivity, inelastic mean free path and databases, information depth, sample handling.
• Qualitative analysis – direct and derivative spectra, identification of elements including examples using software, energy resolution, peak widths, chemical effects on kinetic energy and lineshapes, plasmons, cross transitions, ion-excited Auger transitions.
• Quantitative analysis – Auger intensities, sensitivity factors, detection limit, corrections for lineshape changes, analyzer transmission, electron multiplier effects, matrix factors, average matrix sensitivity factors, backscattering, effects of angle of incidence and emission on quantitative analysis, standard spectra, diffraction effects, signal-to-noise.
• Artifacts – ionization loss peaks, electron beam damage.
• Instrumentation – field emission electron source, spatial resolution (beam), beam damage, cylindrical mirror analyzer (CMA), hemispherical type analyzer (HSA), modes of operation, electron detection, pulse counting, other electron sources, other types of analyzers, scattering in analyzers, energy scale calibration, vacuum system, samples.
• Imaging and spatial resolution – scanning electron microscopy, acceptance area of analyzers, locating regions of interest, corrections for topography and backscattering, beam energy, spatial resolution (analysis), comparison of analyzers, electron energy loss (EELS) imaging, ratioed scatter diagrams, line scans, image registration, comparison with EDS.
• Data acquisition, processing and depth profiling – spectrum subtraction, sputtering, crater edge profiling, angle resolved AES, factor analysis, linear least-squares fitting, sample rotation, mechanical methods. Examples of data processing methods to remove peak overlap problems, separate different chemical states, and improve signal-to-noise in sputter depth profiles will be demonstrated.
• Insulating samples – charge control methods, effects on images and spectra, use of low energy ion beam.
• Applications – nano analysis of spheres, particles, via holes, insulators, sputter depth profiles of nanolayers.
• Instrument selection and summary – factors to consider, general summary.

The course is suitable for students, technicians, scientists and engineers with all levels of experience.