Kaisa_2012_3_photo by Veikko Somerpuro

Enrol
1.5.2019 at 00:01 - 16.6.2019 at 23:59

Timetable

Description

Master's Programme in Materials Research is responsible for the course.

Module where the course belong to:

  • MATR300 Advanced Studies in Materials Research.
    Optional for:
    1. Study Track in Experimental Materials Physics
    2. Study Track in Inorganic Materials Chemistry

The course is available to students from other degree programmes.

No prior in-depth learning is required, but the following courses would provide useful background information: MATR316 Nuclear Physics I and MATR343 Microscope techniques in materials characterization.

If you are interested in studying further the topic the course MATR314 Ion Beam Scattering Techniques for Materials Characterization is recommended.

The aim of the course is to provide a general description how ion beams are used in elemental analyses and to introduce the techniques at the practical level.

Can be taken in the early or later stages of studies.

Given every second year (odd years) in the spring term.

  • Ion - matter interactions: basic concepts, slowing down
  • Introduction to electromagnetic radiation – matter interactions
  • Introduction to detectors and signal processing
  • Production of ion beams
  • Ion beam based elemental analyses techniques: Particle-Induced X-ray Emission (PIXE), Particle-Induced Gamma-ray Emission (PIGE), Nuclear Reaction Analysis (NRA)/depth profiling of the light elements. Method applications.
  • Practical demonstrations of PIXE, PIGE and NRA (depth profiling).

Lecture notes

Supplementary reading:

PIXE, A novel Technique for elemental analysis, S. A. E. Johansson, J. L. Campbell, John Wiley and Sons, 1988.

Particle-Induced X-Ray Emission Spectrometry (PIXE), S.A.E. Johansson,J.L. Campbell and K.G. Malmqvist, John Wiley and Sons, 1995.

Handbook of Modern Ion Beam Materials Analysis, Editors Y. Wang and M. Nastasi, MRS, 2009.

Weekly lectures including several exercises (individual work). Practical demonstrations of the covered techniques comprising data analysis as individual work (with short report).

The final grade is based on an examination.

Lectures, exercises, method demonstrations with data analysis reports, and final examination.