Plasma Diagnostics in Basic Plasma Physics Devices and Tokamaks: from Principles to Practice


Lecturer(s) :

Furno Ivo
Labit Benoît
Reimerdes Holger




Every 2 years


Next time: Spring 2022 (Block course)


The programme will allow students to learn plasma diagnostics and data processing methods of modern fusion experiments and to bridge the gap between diagnostics theory and experimental practice.


Introduction: students will be taught the basics of both TORPEX and TCV facilities. The lecture will be followed by a visit of the experimental installations.
Theory of magnetic probes: Rogowski-coil, Flux loop, Diamagnetic loop, Poloidal field probes, Non-axisymmetric measurements, Poloidal field probes, Saddle loops. Data analysis techniques: mode identification using MHD spectroscopy (spectrogram - autocorrelation), Cross-correlation, Toroidal mode decompostion/general least square fit/ Sparse spec, Singular Value Decomposition. Practicum: calibration of magnetic probes and measurements of transfer function, analysis of TCV data.
Theory of various types of electrostatic probes, including single, double, and triple probes, Katsumata, ball pen, emissive probes, Mach probes, energy analyzers, turbulent particle flux probes. Data analysis techniques: Fourier analysis, Higher order Fourier analysis, Statistical analysis, Conditional sampling. Practicum: measurements of time averaged quantities and fluctuations in TORPEX and TCV data using single, double and triple probes; measurements of fluctuations in TORPEX, including statistical properties (skewness, etc.) perpendicular wave number and particle flux.
Theory of plasma emission and fast imaging. CMOs/CCD cameras, fast framing cameras, streaked cameras; Image intensifiers; Gas-puffing systems. Data analysis techniques: Fourier based techniques (linear and higher-order techniques); space-based techniques (structure identification, etc.). Practicum: installation and use of the fast camera to image radially propagating blobs in TORPEX; determination of physical quantities such as blob speed and size; use of advanced data analysis techniques, such as conditional sampling and box-averaging. On TCV: data analysis of camera data.

In the programs

    • Semester
    • Exam form
    • Credits
    • Subject examined
      Plasma Diagnostics in Basic Plasma Physics Devices and Tokamaks: from Principles to Practice
    • Lecture
      16 Hour(s)
    • Exercises
      10 Hour(s)
    • Practical work
      10 Hour(s)

Reference week

      Exercise, TP
      Project, other


  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German