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#!/usr/bin/env python3
"""
Plot SLD and magnetization profiles for a
multilayer sample with rough interfaces.
"""
import bornagain as ba
from bornagain import angstrom, ba_plot as bp, R3
import numpy as np
def get_sample():
# materials
vacuum = ba.MaterialBySLD("Vacuum", 0, 0)
material_ti = ba.MaterialBySLD("Ti", -1.9493e-06, 0)
B_ni = R3(-5e7, 0, 0)
material_ni = ba.MaterialBySLD("Ni", 9.4245e-06, 0, B_ni)
B_substrate = R3(1e8, 0, 0)
material_substrate = ba.MaterialBySLD("SiSubstrate", 2.0704e-06, 0,
B_substrate)
# roughness
autocorr = ba.SelfAffineFractalModel(5*angstrom, 0.5, 10*angstrom)
transient = ba.TanhTransient()
roughness = ba.Roughness(autocorr, transient)
# layers
ambient_layer = ba.Layer(vacuum)
ti_layer = ba.Layer(material_ti, 30*angstrom, roughness)
ni_layer = ba.Layer(material_ni, 70*angstrom, roughness)
substrate_layer = ba.Layer(material_substrate)
# periodic stack
n_repetitions = 4
stack = ba.LayerStack(n_repetitions)
stack.addLayer(ti_layer)
stack.addLayer(ni_layer)
# sample
sample = ba.Sample()
sample.addLayer(ambient_layer)
sample.addStack(stack)
sample.addLayer(substrate_layer)
return sample
if __name__ == '__main__':
sample = get_sample()
n_points = 400
z_min, z_max = ba.defaultMaterialProfileLimits(sample)
z_points = ba.generateZValues(n_points, z_min, z_max)
sld = ba.materialProfileSLD(sample, n_points, z_min, z_max)
mag_X = ba.magnetizationProfile(sample, "X", n_points, z_min, z_max)
bp.plt.subplot(2, 1, 1)
bp.plt.plot(z_points, np.real(sld))
bp.plt.title("Re(SLD)")
bp.plt.subplot(2, 1, 2)
bp.plt.plot(z_points, mag_X)
bp.plt.title("X magnetization")
bp.plt.tight_layout()
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