def test_multi():
freq = 5e9
cell_sz = 30. / 1000.
scale = 30
# pre calculated horn power integration at 5GHz
horn_integ = 22732.769823328235
abg = (np.deg2rad(180), np.deg2rad(180), np.deg2rad(0))
src = Source()
horn = get_default_pyramidal_horn(freq)
src.append(horn, abg, (0., 0., cell_sz*scale))
tp = [(np.deg2rad(20), np.deg2rad(0)), (np.deg2rad(20), np.deg2rad(90)),
(np.deg2rad(20), np.deg2rad(180)), (np.deg2rad(20), np.deg2rad(270))]
#tp = [(np.deg2rad(0), np.deg2rad(0))]
tpm = [(np.deg2rad(0), np.deg2rad(0), 1)]
arr = RAInfo(src, cell_sz, (scale, scale), ('pencil', (tp)), ideal_ref_unit)
#arr = RAInfo(src, cell_sz, (scale, scale), ('oam', (tpm, np.deg2rad(0))), ideal_ref_unit)
solver = RASolver(arr)
tsk1 = Gain2D(np.deg2rad(0), 999)
tsk2 = Gain2D(np.deg2rad(90), 600)
tsk3 = Gain3D(100, 100)
solver.append_task(tsk1)
#solver.append_task(tsk2)
#solver.append_task(tsk3)
#solver.run()
solver.run_concurrency()
tsk1.post_process(horn_integ, True)
def line_feed_array():
freq = 10.0e9
cell_sz = 15 / 1000.
scale = 10
abg = (np.deg2rad(180), np.deg2rad(180), np.deg2rad(0))
integ = 1.2068
showFig = True
hz = cell_sz*scale*0.6
fd_list = [(0.0, -cell_sz*2, hz),
(0.0, -cell_sz, hz),
(0.0, 0.0, hz),
(0.0, cell_sz, hz),
(0.0, cell_sz*2, hz)]
src = Source()
for i in range(len(fd_list)):
src.append(get_default_pyramidal_horn(freq, E0=1.0, initp=0.0), abg, fd_list[i], dir='parallel')
tp = [(0, 0)]
bs = 1
arr = RAInfo(src, cell_sz, (scale, scale), ('pencil', tp), lambda p:ideal_ref_unit(p, bits=bs))
solver = RASolver(arr)
phi = np.deg2rad(90)
tsk1 = Gain2D(phi, 300)
#tsk1 = Gain3D(200, 200)
solver.append_task(tsk1)
solver.run()
tsk1.post_process(integ*5, showFig)
def test_fresnel_phicut():
freq = 6.0e9
cell_sz = 25 / 1000.
lmbd = 3e8 / freq
scale = 20
fdr = 0.8
hz = cell_sz*scale*fdr
horn = get_default_pyramidal_horn(freq)
pos = (0.0, 0.0, hz)
abg = (np.deg2rad(180), np.deg2rad(180), np.deg2rad(0))
showFig = True
far_z = 2 * (scale*cell_sz*np.sqrt(2)) ** 2 / lmbd
focal = [(0.5, 0.5, 1.0, 1.0), (-0.5, -0.5, 1.0, 1.0)]
src = Source()
src.append(horn, abg, pos)
arr = RAInfo(src, cell_sz, (scale, scale), ('foci', focal), circle_unit)
solver = RASolver(arr, type='fresnel')
tsk = PhiCutPlane((2.0, 1.5), (21, 21), phi=np.deg2rad(45))
solver.append_task(tsk)
solver.run()
tsk.post_process(showFig, None)
def test_fresnel_onaxis():
freq = 6.0e9
cell_sz = 25 / 1000.
lmbd = 3e8 / freq
scale = 20
fdr = 0.8
hz = cell_sz*scale*fdr
horn = get_default_pyramidal_horn(freq)
pos = (0.0, 0.0, hz)
abg = (np.deg2rad(180), np.deg2rad(180), np.deg2rad(0))
showFig = True
far_z = 2 * (scale*cell_sz*np.sqrt(2)) ** 2 / lmbd
focal_rio = 0.1
focal = [(0.0, 0.0, focal_rio*far_z, 1.0)]
src = Source()
src.append(horn, abg, pos)
arr = RAInfo(src, cell_sz, (scale, scale), ('foci', focal), circle_unit)
solver = RASolver(arr, type='fresnel')
plane_rio = np.linspace(0.01, 0.5, 200)
zlist = [pr*far_z for pr in plane_rio]
tsk = OnAxisLine(zlist, plane_rio)
solver.append_task(tsk)
solver.run()
tsk.post_process(showFig, None)
def RA_12x12():
freq = 5.0e9
cell_sz = 33 / 1000.
scale = 12
fdr = 0.9
hz = cell_sz*scale*fdr
abg = (np.deg2rad(180), np.deg2rad(180), np.deg2rad(0))
showFig = True
integ = 30.17114 # 10.0, 5.0e9
horn = get_default_pyramidal_horn(freq)
pos = (0.0, 0.0, hz)
src = Source()
src.append(horn, abg, pos)
bs = 2
tmp = [(np.deg2rad(0), np.deg2rad(0))]
arr = RAInfo(src, cell_sz, (scale, scale), ('pencil', tmp), lambda p:ideal_ref_unit(p, bits=bs, amp=0.8))
solver = RASolver(arr)
tsk1 = Gain2D(np.deg2rad(0), 181)
solver.append_task(tsk1)
solver.run()
tsk1.post_process(integ, showFig, exfn='experiment/12x12/xoz-theo.csv')
def test_offset_feed():
freq = 6.0e9
cell_sz = 25 / 1000.
scale = 20
horn = get_default_pyramidal_horn(freq, E0=1.0)
integ = 0.07083
showFig = True
abg = (np.deg2rad(180), np.deg2rad(180), np.deg2rad(0))
src = Source()
fdr = 1.0
fpos_offset = (0, cell_sz*2, cell_sz*scale*fdr)
fpos = (0, 0, cell_sz*scale*fdr)
src.append(horn, abg, fpos_offset, dir='parallel')
tp = [(np.deg2rad(30), 0)]
bs = 2
arr = RAInfo(src, cell_sz, (scale, scale), ('pencil', tp), lambda p:ideal_ref_unit(p, bits=bs))
solver = RASolver(arr)
phi = np.deg2rad(0)
tsk1 = Gain2D(phi, 300)
#tsk1 = Gain3D(150, 150)
solver.append_task(tsk1)
solver.run()
tsk1.post_process(integ, showFig)
def __iter__(self):
with self.lock:
self.idx = 0
return self
def __next__(self):
with self.lock:
if self.idx == len(self):
raise StopIteration
ret = self.efield[self.idx]
self.idx += 1
return ret
if __name__ == '__main__':
freq = 5e9
cell_sz = 30. / 1000.
scale = 20
abg = (np.deg2rad(180), np.deg2rad(180), np.deg2rad(0))
src = Source()
src.append(get_default_pyramidal_horn(freq), abg, (0., 0., 0.5))
tp = [(np.deg2rad(0), np.deg2rad(0))]
tpm = [(np.deg2rad(0), np.deg2rad(0), 1)]
foci = [(0, 0, 0.8, 1.0)]
arr = RAInfo(src, cell_sz, (scale, scale), ('oam', (tpm, np.deg2rad(10))),
ideal_ref_unit)
for (ex, ey) in arr:
print(ex, ey)
def focal_2bit_calculation():
freq = 5.8e9
cell_sz = 30 / 1000.
scale = 10
fdr = 0.9
hz = cell_sz*scale*fdr
abg = (np.deg2rad(180), np.deg2rad(180), np.deg2rad(0))
showFig = True
integ = 1.039 # 1.6, 5.8e9
horn = get_default_pyramidal_horn(freq, E0=1.6)
pos = (0.0, 0.0, hz)
src = Source()
src.append(horn, abg, pos)
focuses = (
[(1.0, 1.0, 1.0, 1.0)],
[(-0.3, 0.3, 1.5, 1.0), (0.3, -0.3, 1.5, 1.0)],
[(0.3, 0.3, 2.0, 1.0)]
)
hs = (
1.0,
1.5,
2.0
)
planes = (
(3.0, 3.0),
(1.2, 1.2),
(1.2, 1.2)
)
points = (
(301, 301),
(121, 121),
(121, 121)
)
ps = (
np.deg2rad(45),
np.deg2rad(135),
np.deg2rad(45)
)
Nt, Np = 181, 181
for idx in range(3):
bs = 2
arr = RAInfo(src, cell_sz, (scale, scale), ('foci', focuses[idx]), lambda p:ideal_ref_unit(p, bits=bs))
solver = RASolver(arr)
tsk1 = FresnelPlane(0, 'xx', hs[idx], planes[idx], points[idx])
tsk2 = Gain2D(ps[idx], Nt, freq)
tsk3 = Gain3D(Np, Nt)
solver.append_task(tsk1)
solver.append_task(tsk2)
solver.append_task(tsk3)
solver.run()
tsk1.post_process(integ, showFig, exfn='experiment/2bit/case{}_plane_theo.fld'.format(idx+1))
tsk2.post_process(integ, showFig, exfn='experiment/2bit/case{}_2d_theo.csv'.format(idx+1))
tsk3.post_process(integ, showFig, exfn='experiment/2bit/case{}_3d_theo.csv'.format(idx+1))
