Useful (and not so useful) Scripts

Converting rfdata to T7

Input: 1D field map (on axis longitudinal electrical field).
Output: T7-like 2d field data
Calls function interpolateFieldmap(fourCoefs,r,z,cavity_info).
interpolateFieldmapVarZnR.m

Input: rfdata (array of fourier coefficients).
Output: longitudinal and radial electrical field and transverse magnetic field at one position (z,r).
interpolateFieldmap.m

Example:
>> interpolateFieldmapVarZnR('INEG-ECAT.Ez',[0.0:0.01/1000:0.01],[0.0:0.001/100:0.001],[0.01,0.000001],40);
This function call loads the file INEG-ECAT.Ez and writes the file INEG-ECAT.T7 in T7 file format. Note that in Matlab, ranges are given in the format [start:step-size:end]. Therefore, in the example given above, the field is calculated for 1000 points in z spread between 0.0 and 1 cm (0.01 m) and for 100 points in r spread between 0 and 0.1 cm (0.001 m).

Converting non-uniform ASTRA field map to uniform OPAL field map

Input: Filename of the ASTRA field map, frequency of the field
Output: OPAL field map 'test.T7'
NonUniform2Uniform.m
To run use Matlab or Octave:
octave --eval "NonUniform2Uniform('ASTRA_fm.dat', 2997.912)"

Converting HFSS to OPAL field maps

Input:
• Directory name where the files Ez.fld, Ex.fld and Hy.fld reside
• number of sampling points in z direction
• number of sampling points in r direction
• frequency of the fields
Output: OPAL field map with name <directory>.opal
hfss_to_opal.m

Comparing different reconstruction methods for field maps

Small collection of matlab scripts to compare reconstruction methods using bi-linear interpolation, bi-spline interpolation and fourier interpolation: compare_reconstruction_methods.tar.gz.

Visualize T7 file of a standing wave cavity

Input: filename of 2D T7 file of standing wave cavity
Output: postscript of visualization using gnuplot and 'pm3d map' therein
plotSWpcolor.py.

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