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#!/usr/bin/env python3
# /// script
# requires-python = ">=3.10"
# dependencies = ["bornagain>=25,<26"]
# ///
"""
GISAS of cylinders on a 2D square paracrystal.
The paracrystal is isotropic (integration over xi), with a Cauchy
probability distribution function and 10 nm spacing.
Compare with Paracrystal.py which uses a non-square BasicLattice2D.
"""
import bornagain as ba
ba.require_versions("bornagain>=25,<26")
from bornagain import deg, nm
def get_sample():
particle_color = (0.86, 0.24, 0.18)
particle_mat = ba.RefractiveMaterial("Particle", particle_color, 6e-4, 2e-8)
substrate_color = (0.28, 0.57, 0.82)
substrate_mat = ba.RefractiveMaterial("Substrate", substrate_color, 6e-6, 2e-8)
vacuum = ba.Vacuum()
ff = ba.Cylinder(5 * nm, 5 * nm)
particle = ba.Particle(particle_mat, ff)
lattice = ba.SquareLattice2D(10 * nm, 0)
structure = ba.Paracrystal2D(particle, lattice, 0, 0, 0)
structure.setIntegrationOverXi(True)
structure.setDomainSizes(20e3 * nm, 20e3 * nm)
profile = ba.Profile2DCauchy(80 * nm, 80 * nm, 0)
structure.setProbabilityDistributions(profile, profile)
vacuum_layer = ba.Layer(vacuum)
substrate_layer = ba.Layer(substrate_mat)
vacuum_layer.deposit2D(structure)
sample = ba.Sample()
sample.addLayer(vacuum_layer)
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=300*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 ≻ Structures and correlations ≻ Rect paracrystal
