File: differential_cross_section.py

package info (click to toggle)
meep-mpi-default 1.17.1-2
  • links: PTS, VCS
  • area: main
  • in suites: bullseye
  • size: 51,672 kB
  • sloc: cpp: 29,881; python: 17,210; lisp: 1,225; makefile: 477; sh: 249; ansic: 133; javascript: 5
file content (102 lines) | stat: -rw-r--r-- 4,727 bytes parent folder | download | duplicates (3)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
import meep as mp
import numpy as np
import matplotlib.pyplot as plt
import PyMieScatt as ps

r = 1.0  # radius of sphere

frq_cen = 1.0

resolution = 20 # pixels/um

dpml = 0.5
dair = 1.5 # at least 0.5/frq_cen padding between source and near-field monitor

pml_layers = [mp.PML(thickness=dpml)]

s = 2*(dpml+dair+r)
cell_size = mp.Vector3(s,s,s)

# circularly-polarized source with propagation axis along x
# is_integrated=True necessary for any planewave source extending into PML
sources = [mp.Source(mp.GaussianSource(frq_cen,fwidth=0.2*frq_cen,is_integrated=True),
                     center=mp.Vector3(-0.5*s+dpml),
                     size=mp.Vector3(0,s,s),
                     component=mp.Ez),
           mp.Source(mp.GaussianSource(frq_cen,fwidth=0.2*frq_cen,is_integrated=True),
                     center=mp.Vector3(-0.5*s+dpml),
                     size=mp.Vector3(0,s,s),
                     component=mp.Ey,
                     amplitude=1j)]

sim = mp.Simulation(resolution=resolution,
                    cell_size=cell_size,
                    boundary_layers=pml_layers,
                    sources=sources,
                    k_point=mp.Vector3())

box_flux = sim.add_flux(frq_cen, 0, 1,
                        mp.FluxRegion(center=mp.Vector3(x=-2*r),size=mp.Vector3(0,4*r,4*r)))

nearfield_box = sim.add_near2far(frq_cen, 0, 1,
                                 mp.Near2FarRegion(center=mp.Vector3(x=-2*r),size=mp.Vector3(0,4*r,4*r),weight=+1),
                                 mp.Near2FarRegion(center=mp.Vector3(x=+2*r),size=mp.Vector3(0,4*r,4*r),weight=-1),
                                 mp.Near2FarRegion(center=mp.Vector3(y=-2*r),size=mp.Vector3(4*r,0,4*r),weight=+1),
                                 mp.Near2FarRegion(center=mp.Vector3(y=+2*r),size=mp.Vector3(4*r,0,4*r),weight=-1),
                                 mp.Near2FarRegion(center=mp.Vector3(z=-2*r),size=mp.Vector3(4*r,4*r,0),weight=+1),
                                 mp.Near2FarRegion(center=mp.Vector3(z=+2*r),size=mp.Vector3(4*r,4*r,0),weight=-1))

sim.run(until_after_sources=10)

input_flux = mp.get_fluxes(box_flux)[0]
nearfield_box_data = sim.get_near2far_data(nearfield_box)

sim.reset_meep()

n_sphere = 2.0
geometry = [mp.Sphere(material=mp.Medium(index=n_sphere),
                      center=mp.Vector3(),
                      radius=r)]

sim = mp.Simulation(resolution=resolution,
                    cell_size=cell_size,
                    boundary_layers=pml_layers,
                    sources=sources,
                    k_point=mp.Vector3(),
                    geometry=geometry)

nearfield_box = sim.add_near2far(frq_cen, 0, 1,
                                 mp.Near2FarRegion(center=mp.Vector3(x=-2*r),size=mp.Vector3(0,4*r,4*r),weight=+1),
                                 mp.Near2FarRegion(center=mp.Vector3(x=+2*r),size=mp.Vector3(0,4*r,4*r),weight=-1),
                                 mp.Near2FarRegion(center=mp.Vector3(y=-2*r),size=mp.Vector3(4*r,0,4*r),weight=+1),
                                 mp.Near2FarRegion(center=mp.Vector3(y=+2*r),size=mp.Vector3(4*r,0,4*r),weight=-1),
                                 mp.Near2FarRegion(center=mp.Vector3(z=-2*r),size=mp.Vector3(4*r,4*r,0),weight=+1),
                                 mp.Near2FarRegion(center=mp.Vector3(z=+2*r),size=mp.Vector3(4*r,4*r,0),weight=-1))

sim.load_minus_near2far_data(nearfield_box, nearfield_box_data)

sim.run(until_after_sources=100)

npts = 100     # number of points in [0,pi) range of polar angles to sample far fields along semi-circle
angles = np.pi/npts*np.arange(npts)

ff_r = 10000*r # radius of far-field semi-circle

E = np.zeros((npts,3),dtype=np.complex128)
H = np.zeros((npts,3),dtype=np.complex128)
for n in range(npts):
    ff = sim.get_farfield(nearfield_box, ff_r*mp.Vector3(np.cos(angles[n]),0,np.sin(angles[n])))
    E[n,:] = [np.conj(ff[j]) for j in range(3)]
    H[n,:] = [ff[j+3] for j in range(3)]

Px = np.real(np.multiply(E[:,1],H[:,2])-np.multiply(E[:,2],H[:,1]))
Py = np.real(np.multiply(E[:,2],H[:,0])-np.multiply(E[:,0],H[:,2]))
Pz = np.real(np.multiply(E[:,0],H[:,1])-np.multiply(E[:,1],H[:,0]))
Pr = np.sqrt(np.square(Px)+np.square(Py)+np.square(Pz))

intensity = input_flux/(4*r)**2
diff_cross_section = ff_r**2 * Pr / intensity
scatt_cross_section_meep = 2*np.pi * np.sum(np.multiply(diff_cross_section,np.sin(angles))) * np.pi/npts
scatt_cross_section_theory = ps.MieQ(n_sphere,1000/frq_cen,2*r*1000,asDict=True,asCrossSection=True)['Csca']*1e-6 # units of um^2

print("scatt:, {:.16f} (meep), {:.16f} (theory)".format(scatt_cross_section_meep,scatt_cross_section_theory))