Course content

The course provides an advanced look at different advanced aspects of mineralogy. It uses an experimental approach and student works on collection, interpretation and advanced calculations on mineralogical data from advanced analytical methods. Approach is inspired by the leaving the black box and we will work on real data with all their built in fall pits and caveats.

Learning outcome

Competence

After completed course the student should be able to:

1. Optimize analytical strategies for specific samples taking into account the strengths and weakness in different analytical methods

2. Select and apply the best suited methodology for mineralogical analysis, including post collection data processing, analysis and interpretation using the understanding of the fundamental principles behind the results

Knowledge and skills

The course introduces relevant advanced methods for extraction of mineralogical information from samples and also determination of formation conditions. Method could possibly include, but are not limited to:

1. EPMA and use of XMAP tools for advanced in situ chemical characterization of rock samples
2. SEM methods, including
   1. EDS,
   2. EBSD (electron backscatter diffraction). For analysis of crystallographic relation.
      1. Optimization of analysis
      2. Interpretation of collected EBSP data
      3. Postprocessing in Matlab (MTEX) for extraction of crystallographical information from samples
3. XRD
   1. sample preparation
   2. using the Rietveld software to quantify mineral modes
   3. combination of XRD with other methods, such as XRF (bulk chemistry) and EDS/EPMA (mineral chemistry)
4. Mathematical approach to combining mineralogical data
5. Introduction to raman for studying bonding in minerals
   1. QUIG (quartz in garnet) thermobarometry
   2. Mineral and other phase identification in the Raman system using databases. Critical assesment of results. Advantages here are easy separation of isochemical phases with different crystal structures (polymorphs)
   3. Other methods like carbon thermometry etc.
   4. Strain analysis
   5. Extraction and post treatment of collected data in the vendor software and further analysis in Matlab.

Learning methods and activities

The course uses a combination of theoretical lectures and compulsory practical exercises. The course is evaluated by a reference group.

Compulsory assignments

• Exercises

Specific conditions

Required previous knowledge

TGB4126 Mineralogy, Basic Course (can be done in parallel). Similar mineralogy background can be accepted.

Course materials

Given at the beginning of the semester.