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#!/usr/bin/env python3
# /// script
# requires-python = ">=3.10"
# dependencies = ["bornagain>=25,<26"]
# ///
"""
GISAS of a multilayer with linear-growth roughness autocorrelation model.
Five repetitions of PartA (5e-6, 2.5 nm) on Substrate (15e-6).
PartA roughness uses LinearGrowthModel; substrate roughness uses
SelfAffineFractalModel. Both use TanhTransient 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)
parta_color = (0.86, 0.24, 0.18)
parta_mat = ba.RefractiveMaterial("PartA", parta_color, 5e-6, 0)
transient = ba.TanhTransient()
autocorr_base = ba.SelfAffineFractalModel(1*nm, 0.3, 5*nm)
roughness_base = ba.Roughness(autocorr_base, transient)
autocorr = ba.LinearGrowthModel(1, 1, 10, 100, 1000, 0.5)
roughness = ba.Roughness(autocorr, transient)
vacuum_layer = ba.Layer(vacuum)
partA_layer = ba.Layer(parta_mat, 2.5*nm, roughness)
substrate_layer = ba.Layer(substrate_mat, roughness_base)
stack = ba.LayerStack(5)
stack.addLayer(partA_layer)
sample = ba.Sample()
sample.addLayer(vacuum_layer)
sample.addStack(stack)
sample.addLayer(substrate_layer)
return sample
def get_simulation(sample):
beam = ba.Beam(1, 0.1*nm, 0.2*deg)
n = 100
detector = ba.SphericalDetector(n, -2*deg, 2*deg, n, 0, 2*deg)
return ba.ScatteringSimulation(beam, sample, detector)
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()
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BornAgain
≻ git-develop
≻ Documentation ≻ Examples ≻ GISAS ≻ Particles, layers, and interfaces ≻ Multi layer with linear growth
