def conv_to_Iq(self, qidi, mask, dz=True, w=3, tol=3, cor=0):
""" convert solution scattering/powder diffraction data into 1D scattering curve
the q axis is given by grid (1d array)
calls the C-code in RQconv
the cor parameter can take positive or negative values
if cor>0, the 1D data will be corrected for (divided by) the factor due to polarization
and the non-normal incident X-rays onto the detector
if cor<0, the 1D data will be multipled by this factor instead. this is useful to
build this correction into the flat field correction
"""
# apply the mask before passing the data to RQconv
# RQconv should discard all data with zero intensity
dm = np.zeros((self.height, self.width), np.int32) + 1
# dm = 1-np.asarray(mask.map,np.int32)
if dz:
print("dezinger ...")
RQconv.dezinger(self.data.astype(np.int32), dm, w, tol)
# NOTE: use self.data+1, instead of self.data, to avoid confusion betwee
# zero-count pixels and masked pixels. The added 1 count will be subtracted in RQconv
# print (dm*2-1==0).any()
# dm = (dm*2-1)*self.data
dm = np.multiply(dm, (1 - mask.map) * (self.data + 1)).astype(np.int32)
# plt.figure()
# plt.imshow(dm)
RQconv.conv_to_Iq(dm, self.exp, qidi, cor)
