Reconstruction od the WaveFront

• Running the Test

  The Wavefront generator need a GPU machine the generation of a simulated wavefront is done with the wfc script. You can test it going in the TEST directory.

  • The launch in OAR is done simply

    cd yourdirectoryforwf/TEST
    WFR  your_input.txt

  • The launch on a private PC is not more difficult, just specify the card number you want to use

     cd yourdirectoryforwf/TEST
     WFR  your_input.txt   my_pc_name,GPU_N0
    
    where GPU_N0 may be 0 or 1 or something else, it depends on your PC.

  ATTENTION :

  before runnign the example given in TEST you must create the simulated file to fit. To do this you must :

  • first run the input_fzp.txt example with the wavefront simulator

  • Then you must prepare a numpyarray.npy data file

    doing this you can do some sort of pretreatement. The way I do it is using a PyMca widget, using ipython. You better be on a recent installation. At ESRF try logging on the rnice6 cluster. There the tools are quite up-to-date. Dont set any environment variable, it’ already OK.

    Now we pretreat the simulated data like this

    >ipython --q4thread

    now you are in the ipython environment

    from PyMca import MaskImageWidget
    w=MaskImageWidget.MaskImageWidget()
    import h5py
    f=h5py.File("detector_image.h5")
    data=f['map_squareamplitude'][:]
    w.setImageData(data)
    w.show()
    

    you have now a beautiful widget from PyMca

    • select with the mouse a mask over the ROI

    When you have selected the ROI

    w=MaskImageWidget.MaskImageWidget()
    w.setImageData(data)
    w.show()
    mask = w.getSelectionMask()
    datamasked=data*mask
    datamasked.dump("datasim.npy")
    

    Your data are now in datasim.npy, ready for the wavefront reconstruction

  • READY TO LAUNCH THE RECONSTRUCTION

    WFR inputwfr_sim.txt

• Inspecting the Output

  The simulation code creates several files

  Documentation : TODO

WARNING

The docstrings in .py are not ready yet. I just include some autodoc. At least one can navigate the code

• The parameters are dealt by ParametersR_module.py :

  the following documentation has been generated automatically from the docstrings found in the source code.

  class ParametersR_module.Parameters

  TODO : document parameters

  static Parameters.get_derived_pars()

  TODO : document derived parameters

• The calculation is done by wfr.py module :

  the following documentation has been generated automatically from the docstrings found in the source code.

  TODO : document this module

  wfr.main()

  TODO : document this function