Cosine ripples on Rectangular Lattice

Scattering from elongated particles distributed along a two-dimensional rectangular lattice.

  • Each particle has a sinusoidal profile ("Ripple1" form factor) with a length of 100 nm, a width of 20 nm and a height of 4 nm.
  • They are placed along a rectangular lattice on top of a substrate.
  • This lattice is characterized by a lattice length of 200 nm in the direction of the long axis of the particles and of 50 nm in the perpendicular direction.
  • The lattice's base vectors coincide with the reference cartesian frame.
  • The wavelength is equal to 1.6 Å.
  • The incident angles are αi = 0.3° and Φi = 0°.
Real-space model: 
Intensity Image: 
Python Script: 
Cosine ripple on a 2D lattice
import numpy
import bornagain as ba
from bornagain import deg, angstrom, nm

def get_sample():
    Returns a sample with cosine ripples on a substrate.
    The structure is modelled as a 2D Lattice.
    # defining materials
    m_ambience = ba.HomogeneousMaterial("Air", 0.0, 0.0)
    m_substrate = ba.HomogeneousMaterial("Substrate", 6e-6, 2e-8)
    m_particle = ba.HomogeneousMaterial("Particle", 6e-4, 2e-8)

    # collection of particles
    ripple1_ff = ba.FormFactorRipple1(100*nm, 20*nm, 4*nm)
    ripple = ba.Particle(m_particle, ripple1_ff)

    particle_layout = ba.ParticleLayout()
    particle_layout.addParticle(ripple, 1.0)

    interference = ba.InterferenceFunction2DLattice(
        200.0*nm, 50.0*nm, 90.0*deg, 0.0*deg)
    pdf = ba.FTDecayFunction2DCauchy(
        1000.*nm/2./numpy.pi, 100.*nm/2./numpy.pi)

    # assemble the sample
    air_layer = ba.Layer(m_ambience)
    substrate_layer = ba.Layer(m_substrate)
    multi_layer = ba.MultiLayer()

    return multi_layer

def get_simulation():
    characterizing the input beam and output detector
    simulation = ba.GISASSimulation()
    simulation.setDetectorParameters(100, -1.5*deg, 1.5*deg,
                                     100, 0.0*deg, 2.5*deg)
    simulation.setBeamParameters(1.6*angstrom, 0.3*deg, 0.0*deg)
    return simulation

def run_simulation():
    Runs simulation and returns intensity map.
    simulation = get_simulation()
    return simulation.getIntensityData()

if __name__ == '__main__':
    result = run_simulation()