Fig 1: An example of nine frames movie of shot connected to time evolution thanks to the "rolling shutter effect"

Fig 2: An example the same frames with application of some image processing. Background reflections are significantly suppressed and missing stripes are "interpolated". Note that the camera is not precisely perpendicular to the plasma.


Mov 1: An example of tomographic reconstruction. The results is not very reliable because only one camera was used

Goals:

The ultimate aim is to perform a good tomographic reconstruction from the two crossed cameras.  Therefore, during this task you should develop or improve algorithms to remove reflections from chamber, detect and correct slight shifts in cameras position and reach perfect synchronization of both cameras and the rest of tokamak diagnostics.

Some alpha versions of the scripts are already prepared but you should improve reliability/speed/accuracy algorithms for previously mentioned issues and ideally rewrite them to Python. Moreover, you can try to add it as a standard GOLEM diagnostics.

This task can be slightly more mathematically challenging than others but  if you are not afraid, you can reach very interesting results.

Equipment:

Two fast cameras CASIO EXF1, photodiode,

Requested knowledge:

Programming:

Basic knowledge of Python or Matlab.

Plasma physic:

None

Mathematics:

                    Fast Fourier transformation,  Singular value decomposition, Correlations, Splines,                  
                    (Tikhonov Regularization,  Parzen window filter, Deconvolution, ..... )
                    

Recommended literature:

A brief description of the used cameras

Supervisor:

Michal Odstrčil -  odstrmic@fjfi.cvut.cz