Source code for diffpy.pdfmorph.morphs.morphsmear

#!/usr/bin/env python
##############################################################################
#
# diffpy.pdfmorph   by DANSE Diffraction group
#                   Simon J. L. Billinge
#                   (c) 2010 Trustees of the Columbia University
#                   in the City of New York.  All rights reserved.
#
# File coded by:    Chris Farrow
#
# See AUTHORS.txt for a list of people who contributed.
# See LICENSE.txt for license information.
#
##############################################################################


"""class MorphSmear -- smear the morph.
"""


import numpy

from diffpy.pdfmorph.morphs.morph import LABEL_RA, LABEL_RR, Morph


[docs] class MorphSmear(Morph): """Smear the morph function. This smears (broadens) the peaks of the morph. Note that this operates on the RDF. Inputs are not automatically converted to the RDF. Configuration Variables ----------------------- smear The smear factor to apply to y_morph_in. """ # Define input output types summary = "Smear morph by desired amount" xinlabel = LABEL_RA yinlabel = LABEL_RR xoutlabel = LABEL_RA youtlabel = LABEL_RR parnames = ["smear"]
[docs] def morph(self, x_morph, y_morph, x_target, y_target): """Resample arrays onto specified grid.""" Morph.morph(self, x_morph, y_morph, x_target, y_target) if self.smear == 0: return self.xyallout # The Gaussian to convolute with. No need to normalize, we'll do that # later. r = self.x_morph_in rr = self.y_morph_in r0 = r[len(r) // 2] gaussian = numpy.exp(-0.5 * ((r - r0) / self.smear) ** 2) # Get the full convolution c = numpy.convolve(rr, gaussian, mode="full") # Find the centroid of the RDF, we don't want this to change from the # convolution. x1 = numpy.arange(len(rr), dtype=float) c1idx = numpy.sum(rr * x1) / sum(rr) # Find the centroid of the convolution xc = numpy.arange(len(c), dtype=float) ccidx = numpy.sum(c * xc) / sum(c) # Interpolate the convolution such that the centroids line up. This # uses linear interpolation. shift = ccidx - c1idx x1 += shift rrbroad = numpy.interp(x1, xc, c) # Normalize so that the integrated magnitude of the RDF doesn't change. rrbroad /= sum(gaussian) self.y_morph_out = rrbroad return self.xyallout
# End of class MorphSmear