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#!/usr/bin/env python3
# /// script
# requires-python = ">=3.10"
# dependencies = ["bornagain>=25,<26"]
# ///
"""
GISAS by a a distribution of dlayouterently oriented
square lattices of cylinders on a substrate.
"""
import bornagain as ba
ba.require_versions("bornagain>=25,<26")
from bornagain import deg, nm, R3
def get_sample():
vacuum = ba.Vacuum()
substrate_color = (0.28, 0.57, 0.82)
substrate_mat = ba.RefractiveMaterial("Substrate", substrate_color, 6e-6, 2e-8)
particle_color = (0.86, 0.24, 0.18)
particle_mat = ba.RefractiveMaterial("Particle", particle_color, 6e-4, 2e-8)
toplayer = ba.Layer(vacuum)
substrate = ba.Layer(substrate_mat)
ff = ba.Cylinder(3*nm, 4*nm)
particle = ba.Particle(particle_mat, ff)
distr = ba.DistributionGate(0*deg, 90*deg)
distr.setNSamples(21)
for parsample in distr.distributionSamples():
layout = ba.Crystal2D(particle, ba.SquareLattice2D(25*nm, parsample.value))
layout.setDecayFunction(ba.Profile2DCauchy(100*nm, 100*nm, 0))
toplayer.addDeposit2D(parsample.weight, layout)
sample = ba.Sample()
sample.addLayer(toplayer)
sample.addLayer(substrate)
return sample
def get_simulation(sample):
beam = ba.Beam(1e9, 0.1*nm, 0.2*deg)
n = 100
detector = ba.SphericalDetector(n, -1*deg, 1*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 ≻ Lattice orientation distribution
