DIFF_TOMO(1)

NAME
diff_tomo - diffraction tomography sinogram construction

DESCRIPTION
usage: diff_tomo [options] -p ponifile imagefiles* If the number of files is too large, use double quotes like "*.edf"

Azimuthal integration for diffraction tomography. Diffraction tomography is an experiment where 2D diffraction patterns are recorded while performing a 2D scan, one (the slowest) in rotation around the sample center and the other (the fastest) along a translation through the sample. Diff_tomo is a script (based on pyFAI and h5py) which allows the reduction of this 4D dataset into a 3D dataset containing the rotations angle (hundreds), the translation step (hundreds) and the many diffraction angles (thousands). The resulting dataset can be opened using PyMca roitool where the 1d dataset has to be selected as last dimension. This file is not (yet) NeXus compliant. This tool can be used for mapping experiments if one considers the slow scan direction as the rotation.

  positional arguments:

FILE
    List of files to calibrate

  optional arguments:

-h, --help
    show this help message and exit

-V, --version
    show program's version number and exit

-o FILE, --output FILE
    HDF5 File where processed sinogram was saved, by default diff_tomo.h5

-v, --verbose
    switch to verbose/debug mode, defaut: quiet

-P FILE, --prefix FILE
    Prefix or common base for all files

-e EXTENSION, --extension EXTENSION
    Process all files with this extension

-t NTRANS, --nTrans NTRANS
    number of points in translation. Mandatory

-r NROT, --nRot NROT
    number of points in rotation. Mandatory

-c NDIFF, --nDiff NDIFF
    number of points in diffraction powder pattern, Mandatory

-d FILE, --dark FILE
    list of dark images to average and subtract

-f FILE, --flat FILE
    list of flat images to average and divide

-m FILE, --mask FILE
    file containing the mask, no mask by default

-p FILE, --poni FILE
    file containing the diffraction parameter (poni-file), Mandatory

-O OFFSET, --offset OFFSET
    do not process the first files

-g, --gpu
    process using OpenCL on GPU

-S, --stats
    show statistics at the end

If the number of files is too large, use double quotes "*.edf"