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#!/usr/bin/env python3
# /// script
# requires-python = ">=3.10"
# dependencies = ["bornagain>=25,<26"]
# ///
"""
GISAS from a periodic multilayer with self-affine fractal roughness.
Five repetitions of [PartA (2.5 nm) / PartB (5 nm)] on a substrate,
with correlated roughness described by a self-affine fractal model and
tanh transition profile.
"""
import bornagain as ba
ba.require_versions("bornagain>=25,<26")
from bornagain import deg, nm
def get_sample():
vacuum = ba.Vacuum()
substrate_color = (0.28, 0.57, 0.82)
substrate_mat = ba.RefractiveMaterial("Substrate", substrate_color, 15e-6, 0)
part_a_color = (0.86, 0.24, 0.18)
part_a_mat = ba.RefractiveMaterial("PartA", part_a_color, 5e-6, 0)
part_b_color = (0.25, 0.65, 0.35)
part_b_mat = ba.RefractiveMaterial("PartB", part_b_color, 10e-6, 0)
autocorr = ba.SelfAffineFractalModel(1 * nm, 0.3, 5 * nm)
transient = ba.TanhTransient()
crosscorr = ba.CommonDepthCrosscorrelation(10 * nm)
roughness = ba.Roughness(autocorr, transient, crosscorr)
vacuum_layer = ba.Layer(vacuum)
partA_layer = ba.Layer(part_a_mat, 2.5 * nm, roughness)
partB_layer = ba.Layer(part_b_mat, 5 * nm, roughness)
substrate_layer = ba.Layer(substrate_mat, roughness)
stack = ba.LayerStack(5)
stack.addLayer(partA_layer)
stack.addLayer(partB_layer)
sample = ba.Sample()
sample.addLayer(vacuum_layer)
sample.addStack(stack)
sample.addLayer(substrate_layer)
return sample
def get_simulation(sample):
beam = ba.Beam(1e9, 0.1*nm, 0.2*deg)
n = 200
detector = ba.SphericalDetector(n, -2*deg, 2*deg, n, 0, 2*deg)
simulation = ba.ScatteringSimulation(beam, sample, detector)
return simulation
if __name__ == '__main__':
sample = get_sample()
ba.showSample3D(sample, sample_size=120*nm, seed=0)
simulation = get_simulation(sample)
result = simulation.simulate()
ba.plot_datafield(result, unit_aspect=1)
ba.plt.show()
|
BornAgain
≻ git-develop
≻ Documentation ≻ Examples ≻ GISAS ≻ Particles, layers, and interfaces ≻ Multi layer with roughness
