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Method calib.getCalibPars(type, run) allows to get array of calibration parameters of for specific type and run number, for example

Code Block
    peds_arr = calib.getCalibPars('pedestals',123)

returns the pedestals (numpy) array with data-like shape (185, 388, 2).

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Depending on experimental requirements, there may be different methods of how to generate image. For example we use a simple 2-d histogram technique.
The CSPAD2x2 image can be obtained from the pixel coordinate and intensity arrays (of the same shape) by call:
img2d = pixcoorgg.getImagegetImageFromIndexArrays(X,Y,arr)

Plot image and its spectrum

Code Block
import GlobalGraphics as gg
    my_range = None
    my_range = (-10,40)
    gg.plotImageLarge(img2d, amp_range=my_range)        
    gg.plotSpectrum(img2d, amp_range=my_range)
    gg.show()

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Code Block
import sys
import numpy as np

import PyCSPadImage.CSPAD2x2PixCoords as pixcoor
import PyCSPadImage.CSPAD2x2CalibPars as calpars

import PyCSPadImage.HDF5Methods       as hm 
import PyCSPadImage.GlobalGraphics    as gg
#------------------------------

def test_cspad2x2_calib_geometry() :
    """Test method, demonstrates how to work with CSPAD2x2CalibPars and CSPAD2x2PixCoords modules
    """    
    #======= Define input parameters
    Ndet = 5
    run  = 180
    path = '/reg/d/psdm/mec/mec73313/calib/CsPad2x2::CalibV1/MecTargetChamber.0:Cspad2x2.%1d/' % Ndet
    #path = '/reg/neh/home1/dubrovin/LCLS/CSPad2x2Alignment/calib-cspad2x2-0%1d-2013-02-13/' % Ndet
    #fname  = '/reg/d/psdm/mec/mec73313/hdf5/mec73313-r%04d.h5' % run
    fname  = '/reg/neh/home1/dubrovin/LCLS/HDF5Analysis-v01/PyCSPadImage/src/mec73313-r%04d.h5' % run
    dsname = '/Configure:0000/Run:0000/CalibCycle:0000/CsPad2x2::ElementV1/MecTargetChamber.0:Cspad2x2.%1d/data' % Ndet
    list_of_clib_types = ['center', 'tilt', 'pedestals']

    #======= Get calibration object
    calib = calpars.CSPAD2x2CalibPars(path, run, list_of_clib_types)

    #======= Get CSPAD2x2 pixel coordinate arrays, shaped as (2, 185, 388)
    coord = pixcoor.CSPAD2x2PixCoords(calib)
    X,Y = coord.get_cspad2x2_pix_coordinate_arrays_pix()

    #======= Get CSPAD2x2 pedestals array, shaped as (185, 388, 2)
    peds_arr = calib.getCalibPars('pedestals')

    #======= Get data array from hdf5 dataset, shaped as (185, 388, 2)
    data_arr = hm.getDataSetForOneEvent(fname, dsname, event=0) - peds_arr
    
    #======= Convert shape from (185, 388, 2) to (2, 185, 388)    
    ord_arr  = calpars.data2x2ToTwo2x1(data_arr)

    #======= Compose and plot CSPAD2x2 image from coordinate and intensity arrays
    img2d = pixcoorgg.getImagegetImageFromIndexArrays(X,Y,ord_arr)

    #======= Print for test purpose 
    calib.printCalibParsStatus()
    #print 'pedestals:\n', calib.getCalibPars('pedestals')
    print 'center:\n',    calib.getCalibPars('center')
    print 'tilt:\n',      calib.getCalibPars('tilt')
    print 'peds_arr.shape:', peds_arr.shape  # = (185, 388, 2)  
    print 'Get data array from file: ' + fname
    print 'data_arr.shape:', data_arr.shape
    print 'ord_arr.shape:', ord_arr.shape
    print 'img2d.shape:', img2d.shape

    #======= Plot image and spectrum
    my_range = (-10,40) # None
    gg.plotImageLarge(img2d, amp_range=my_range)        
    gg.plotSpectrum(img2d, amp_range=my_range)
    gg.show()

#------------------------------
 if __name__ == "__main__" :
    test_cspad2x2_calib_geometry()
    sys.exit ( 'End of test.' )
#------------------------------

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