https://gitlab.com/AmosEgel/smuthi
Tip revision: 18cad37aae055a5436eada2cd6cf5319101a154d authored by Parker Wray on 31 May 2022, 07:59:25 UTC
Merge branch 'master' into 'master'
Merge branch 'master' into 'master'
Tip revision: 18cad37
run_smuthi_as_script.py
# This is an exemplary script to run SMUTHI from within python.
# It evaluates the scattering response of a finite periodic grid of dielectric spheres that are located on a metallic
# substrate coated with a dielectric layer. The system is excited by a plane wave under normal incidence.
import numpy as np
import smuthi.simulation
import smuthi.initial_field
import smuthi.layers
import smuthi.particles
import smuthi.postprocessing.graphical_output
import smuthi.postprocessing.scattered_field
import smuthi.utility.cuda
smuthi.utility.cuda.enable_gpu() # Enable GPU acceleration (if available)
# Initialize a plane wave object the initial field
plane_wave = smuthi.initial_field.PlaneWave(vacuum_wavelength=550,
polar_angle=-np.pi, # normal incidence, from top
azimuthal_angle=0,
polarization=0) # 0 stands for TE, 1 stands for TM
# Initialize the layer system object
# The coordinate system is such that the interface between the first two layers defines the plane z=0.
three_layers = smuthi.layers.LayerSystem(thicknesses=[0, 50, 0], # substrate, dielectric layer, ambient
refractive_indices=[1+6j, 1.49, 1]) # like aluminum, SiO2, air
# Define the scattering particles
particle_grid = []
for x in range(-1500, 1501, 750):
for y in range(-1500, 1501, 750):
sphere = smuthi.particles.Sphere(position=[x, y, 150],
refractive_index=2.4,
radius=100,
l_max=3) # choose l_max with regard to particle size and material
# higher means more accurate but slower
particle_grid.append(sphere)
# Initialize and run simulation
simulation = smuthi.simulation.Simulation(layer_system=three_layers,
particle_list=particle_grid,
initial_field=plane_wave,
solver_type='gmres',
solver_tolerance=1e-3,
store_coupling_matrix=False,
coupling_matrix_lookup_resolution=0.5,
coupling_matrix_interpolator_kind='cubic')
simulation.run()
output_directory = 'smuthi_output/smuthi_as_script'
smuthi.postprocessing.graphical_output.show_scattered_far_field(simulation = simulation,
show_plots=True,
show_opts=[{'label':'scattered_far_field'}],
save_plots=False, save_opts=None,
save_data=False, data_format='hdf5', outputdir='.',
flip_downward=True, split=True, log_scale=False,
polar_angles='default', azimuthal_angles='default', angular_resolution=None)
# # Show the near field
# smuthi.postprocessing.graphical_output.show_near_field(quantities_to_plot=['E_y', 'norm_E', 'E_scat_y', 'norm_E_scat'],
# save_plots=True,
# show_plots=False,
# outputdir=output_directory+'/near_field_plots',
# xmin=-1700,
# xmax=1700,
# ymin=10,
# ymax=10,
# zmin=-100,
# zmax=2200,
# resolution_step=100,
# interpolate_step=20,
# simulation=simulation,
# max_field=1.5)