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#!/usr/bin/env python3
# /// script
# requires-python = ">=3.10"
# dependencies = ["bornagain>=25,<26"]
# ///
"""
GISAS of a 3D array of spheres enclosed in a cylindrical envelope.
Spheres of radius 4 nm are placed on a 10 nm cubic grid within a
cylinder of radius (n_lim+0.5)·L and height (2·n_lim+1)·L. The
resulting clusters are deposited at low density (Dilute2D).
"""
import bornagain as ba
ba.require_versions("bornagain>=25,<26")
from bornagain import deg, nm, R3
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()
n_lim = 1
L = 10 * nm
R = 4 * nm
ff = ba.Sphere(R)
sphere = ba.Particle(particle_mat, ff)
size = L * (2 * n_lim + 1 - 1) + 2 * R
outer_r = size / 2
positions = []
for i in range(-n_lim, n_lim + 1):
for j in range(-n_lim, n_lim + 1):
for k in range(0, 2 * n_lim + 1):
x, y, z = i * L, j * L, k * L
if x**2 + y**2 <= outer_r**2 and 0 <= z <= size:
positions.append(R3(x, y, z))
basis = ba.Compound()
basis.addComponents(sphere, positions)
vacuum_layer = ba.Layer(vacuum)
substrate_layer = ba.Layer(substrate_mat)
vacuum_layer.deposit2D(ba.Dilute2D(0.001, basis))
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=250*nm, seed=0)
simulation = get_simulation(sample)
result = simulation.simulate()
ba.plot_datafield(result, unit_aspect=1)
ba.plt.show()
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