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#!/usr/bin/env python3
# /// script
# requires-python = ">=3.10"
# dependencies = ["bornagain>=25,<26"]
# ///
"""
Custom plot of specular reflectivity and R(qz)*qz^4.
"""
import numpy as np
import bornagain as ba
ba.require_versions("bornagain>=25,<26")
from bornagain import nm
def get_sample():
a_color = (0.05, 0.62, 0.55)
a_mat = ba.SLDMaterial("A", a_color, 5e-06, 0)
substrate_color = (0.28, 0.57, 0.82)
substrate_mat = ba.SLDMaterial("Substrate", substrate_color, 2e-06, 0)
sample = ba.Sample()
sample.addLayer(ba.Layer(ba.Vacuum()))
sample.addLayer(ba.Layer(a_mat, 30*nm))
sample.addLayer(ba.Layer(substrate_mat))
return sample
def get_simulation(sample):
n = 500
scan = ba.QzScan(np.linspace(0.01, 1, n))
return ba.SpecularSimulation(scan, sample)
if __name__ == '__main__':
# Create the sample and show its layer stack in interactive runs.
sample = get_sample()
ba.showSample3D(sample, sample_size=80*nm, seed=0)
# Run the specular simulation.
result = get_simulation(sample).simulate()
# Prepare reflectivity and the Porod-scaled quantity.
qz = np.asarray(result.xCenters())
R = np.asarray(result.flatVector())
Rq4 = R*qz**4
# Plot R and R*qz^4 separately because their dimensions differ.
fig, (ax_R, ax_Rq4) = ba.plt.subplots(1, 2, figsize=(11, 4))
ba.plt.sca(ax_R)
ba.plot_datafield(result,
title=r"$R(q_z)$",
ylabel="Reflectivity",
)
ba.plt.sca(ax_Rq4)
ba.plot_array(Rq4,
result.frame(),
title=r"$R(q_z)\,q_z^4$",
ylabel=r"$R(q_z)\,q_z^4$ (nm$^{-4}$)",
)
fig.tight_layout()
ba.plt.show()
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