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 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 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_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 __init__(self):
print("SPI Source")
Source.__init__(self)
self._pidaq = PiDAQ(0, 0)
#self._timer = LoopingCall(self.sample)
#print("Starting Sample Timer")
#self._timer.start(1)
self.stopping = False
reactor.callInThread(self.sample)
def __init__(self):
Source.__init__(self)
try:
self._device = InterfaceKit()
except RuntimeError as e:
print("Runtime Error: %s" % e.message)
try:
self._device.openPhidget()
except PhidgetException as e:
print("Phidget Exception %i: %s" % (e.code, e.detail))
self._device.setOnSensorChangeHandler(self.sensor_changed)
print("Phidget: Waiting for Connection")
self._device.waitForAttach(10000)
self._device.setSensorChangeTrigger(0, 0)
self._device.setDataRate(0, 1)
print("Phidget: Connected")
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)
import plot
from sources import Source
import numpy as np
height = 200
width = 200
Sources = []
for i in range(4):
a = Source()
a.X = np.random.uniform(0.0, 200.0)
a.Y = np.random.uniform(0.0, 200.0)
a.A = np.random.uniform(1.0, 15.0)
a.R = np.random.uniform(2.0, 9.0)
Sources.append(a)
plot.show_source(height, width, Sources)
####################################################
from datetime import datetime
import psycopg2
import pandas as pd
# Local Imports
import sections
import scrapers
from sources import Source
####################################################
#################### Sources #######################
####################################################
ap = Source("Associated Press", "ap", sections.ap, scrapers.ap)
bbc = Source("The BBC", "bbc", sections.bbc, scrapers.bbc)
blaze = Source("The Blaze", "blaze", sections.blaze, scrapers.blaze)
# bloom = Source("Bloomberg", "bloom", sections.bloom, scrapers.bloom)
breitbart = Source("Breitbart", "breitbart", sections.breitbart,
scrapers.breitbart)
buzzfeed = Source("Buzzfeed News", "buzzfeed", sections.buzzfeed,
scrapers.buzzfeed)
cnn = Source("CNN", "cnn", sections.cnn, scrapers.cnn)
# dailyCaller = Source("The Daily Caller", "dailyCaller", sections.dailyCaller, scrapers.dailyCaller)
dailyMail = Source("The Daily Mail", "dailyMail", sections.dailyMail,
scrapers.dailyMail)
dailyWire = Source("The Daily Wire", "dailyWire", sections.dailyWire,
scrapers.dailyWire)
examiner = Source("The Washington Examiner", "examiner", sections.examiner,
scrapers.examiner)
def __init__(self):
Source.__init__(self)
self._sample_number = 0
self._timer = LoopingCall(self.sample)
self._timer.start(0.01)
# import impedance-py/C++ module
# import insitu_cpp
#%%
# step 1 - set air properties (2 opts: (i) - set manually; (ii) - by toml file)
# (i) - set manually;
air = AirProperties(temperature=20)
# step 2 - set your controls
controls = AlgControls(c0=air.c0, freq_init=100, freq_step=25, freq_end=3000)
# step 3 - set the boundary condition / absorber
material = PorousAbsorber(air, controls)
# material.jcal(resistivity = 10000)
material.delany_bazley(resistivity=25000)
material.layer_over_rigid(thickness=0.1, theta=0)
# material.plot_absorption()
#%% step 4 - set the sources
sources = Source(coord=[0.0, 0.0, 1.5])
# step 5 - set the receivers
receivers = Receiver()
receivers.double_planar_array(x_len=.175,
y_len=0.175,
n_x=8,
n_y=8,
dz=0.029,
zr=0.013)
#%% step 7 - run/load field
### You have some options: (1) - run a new simulation;
# (2) - load an existing simulation and change sound source
# (3) - load an existing simulation and change receivers (calculations at Field Points are easy)
# (data of matrix assembly is saved and you can run some needed steps)
######## (1) Running new and saving ###############################
def planewave_ff(self,
theta=0,
phi=0,
Ap=1,
calc_ev=False,
kx_f=2,
ky_f=2,
Ae=1):
""" Calculates the sound field due to a plane wave in free field
Parameters
----------
theta : float
Elevation angle of the propagating plane wave in [rad]
phi : float
Azimuth angle of the propagating plane wave in [rad]
Ap : float
Amplitude of the propagating plane wave
calc_ev : bool
Whether to include an evanescent wave or not in the calculations.
Default is False - just a propagating wave
kx_f : float
Evanescent wave kx factor: kx = kx_f * k0
ky_f : float
Evanescent wave ky factor: ky = ky_f * k0
Ap : float
Amplitude of the evanescent plane wave
"""
self.sources = Source([
np.cos(phi) * np.sin(theta),
np.sin(phi) * np.sin(theta),
np.cos(theta)
])
self.pres_s = []
# for js, s_coord in enumerate(self.sources.coord):
# hs = s_coord[2] # source height
# Initialize
pres_rec = np.zeros(
(self.receivers.coord.shape[0], len(self.controls.freq)),
dtype=np.csingle)
# Loop over receivers
for jrec, r_coord in enumerate(self.receivers.coord):
for jf, k0 in enumerate(self.controls.k0):
# Propagating wave number
kx = k0 * np.cos(phi) * np.sin(theta)
ky = k0 * np.sin(phi) * np.sin(theta)
kz = k0 * np.cos(theta)
k_vec = np.array([kx, ky, kz])
if calc_ev:
# Evanescent wave number
kxe = k0 * kx_f
kye = k0 * ky_f
kze = (kxe**2 + kye**2 - k0**2)**0.5
# Evanescent pressure
p_ev = (np.exp(-kze * r_coord[2])) * (np.exp(
-1j * (kxe * r_coord[0] + kye * r_coord[1])))
pres_rec[jrec, jf] = Ap * np.exp(
1j * np.dot(k_vec, r_coord)) + Ae * p_ev
else:
pres_rec[jrec,
jf] = Ap * np.exp(1j * np.dot(k_vec, r_coord))
self.pres_s.append(pres_rec)
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 __init__(
self,
path='/home/eric/research/insitu_arrays/bem_bem/free sides - single sw/DATA_60cm_x_60cm_h25mm_fmax_6000Hz/s0/',
fname='DATA_60cm_x_60cm_1st-rec_array_3drandom_2nd-rec_array_2layer_3rd-rec___s0_h25mm_fmax_6kHz',
array_type='3D random'):
# Load the .mat file
mat_contents = sio.loadmat(path + fname, squeeze_me=False)
# Get the air data
air = mat_contents['amb'][0, 0]
self.air = AirProperties(c0=air['co'].item(),
rho0=air['rho'].item(),
temperature=air['Tem'].item(),
humid=air['HR'].item(),
p_atm=air['Po'].item())
# # Get the controls data
freq_vec = mat_contents['datafreq_ar'][0, 0]
self.controls = AlgControls(c0=self.air.c0,
freq_vec=freq_vec['frequencia'][0, :])
# Get the source data
source_struct = mat_contents['fonte'][0, 0]
source = source_struct['coord'][0, 0]
self.sources = Source()
self.sources.coord = np.array(
[source['xs'].item(), source['ys'].item(), source['zs'].item()])
self.sources.coord = np.reshape(self.sources.coord, (1, 3))
r, theta, phi = cart2sph(self.sources.coord[0, 0],
self.sources.coord[0, 1],
self.sources.coord[0, 2])
# Get the material data
material = mat_contents['material'][0, 0]
self.material = PorousAbsorber(self.air, self.controls)
self.material.miki(resistivity=material['resist'].item())
# self.material.resistivity = material['resist'].item()
# self.material.Zp = material['imp_caract'][0,:]
# self.material.kp = material['num_onda'][0,:]
self.material.layer_over_rigid(thickness=material['espessura'].item(),
theta=np.pi / 2 - theta)
# test with my material
# mymat = PorousAbsorber(self.air, self.controls)
# mymat.miki(resistivity=material['resist'].item())
# mymat.layer_over_rigid(thickness=material['espessura'].item(),
# theta = np.pi/2-theta)
# fig = plt.figure()
# fig.canvas.set_window_title("alpha test")
# plt.semilogx(self.controls.freq, self.material.alpha, '--k', linewidth = 3)
# plt.semilogx(self.controls.freq, mymat.alpha, 'b')
# plt.grid(linestyle = '--', which='both')
# plt.show()
self.material.model = "Paulo's Miki"
# self.material.plot_absorption()
# Get receiver and sound pressure data - they depend on the type of array
receivers_struct = mat_contents['recept'][0, 0]
receivers = receivers_struct['coord'][0, 0]
pres = mat_contents['pressoes_eric'][0, 0]
# pres = pres_struct['p_total_rec'][0,,]
self.receivers = Receiver()
if array_type == '3D random':
self.receivers.coord = (np.array([
receivers['xr'][0:290, 0], receivers['yr'][0:290, 0],
receivers['zr'][0:290, 0]
])).T
self.pres_s = [np.array(pres['p_total_rec'][0:290, :])]
elif array_type == '2 layer':
self.receivers.coord = (np.array([
receivers['xr'][290:418, 0], receivers['yr'][290:418, 0],
receivers['zr'][290:418, 0]
])).T
self.pres_s = [np.array(pres['p_total_rec'][290:418, :])]
else:
self.receivers.coord = (np.array([
receivers['xr'][418:, 0], receivers['yr'][418:, 0],
receivers['zr'][418:, 0]
])).T
self.pres_s = [np.array(pres['p_total_rec'][418:, :])]
# Get sample size
size = mat_contents['dim_max_painel'][0, 0]
self.Lx = size['x'].item()
self.Ly = size['y'].item()
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))
