mirror of
https://github.com/yosata/fourierOptics.git
synced 2026-10-30 05:01:04 +00:00
Added scripts folder with old scripts
This commit is contained in:
yosata committed
1 parent
f4cc304953
commit
4007525275
22 files changed
+5986
No files matched your search
@@ -0,0 +1,289 @@
|
||||
#!/usr/bin/env Python3
|
||||
import numpy as np
|
||||
from pdb import set_trace
|
||||
import matplotlib.pyplot as plt
|
||||
from matplotlib.ticker import FormatStrFormatter
|
||||
from matplotlib.colors import LogNorm
|
||||
import time
|
||||
import sys
|
||||
sys.path.insert(0, '/Users/joost/Dropbox/Werk/PhD/Analyses/Python/Analytical/Fourier Optics')
|
||||
sys.path.insert(0, '/Users/joost/Dropbox/Werk/PhD/Analyses/Python/Analytical/atmosphere')
|
||||
from fourierOptics import *
|
||||
from atmosphericModel import *
|
||||
from scipy import interpolate
|
||||
|
||||
def perform_padding(A, xs, ys):
|
||||
assert A.shape[0] <= xs and A.shape[1] <= ys, 'New size is smaller than array size.'
|
||||
x_margin = int((xs - A.shape[0])/2)
|
||||
y_margin = int((ys - A.shape[1])/2)
|
||||
return np.pad(A, (x_margin, y_margin))
|
||||
|
||||
def find_nearest(array, value):
|
||||
array = np.asarray(array)
|
||||
diff = (np.abs(array - value)).argmin()
|
||||
idx = np.unravel_index(diff, array.shape)
|
||||
return idx
|
||||
|
||||
def find_maximum(array):
|
||||
idx = np.unravel_index(array.argmax(), array.shape)
|
||||
return idx
|
||||
|
||||
def select_subsection(x, y , outputCoordinates):
|
||||
select_1 = find_nearest(x, outputCoordinates[0])[1]
|
||||
select_2 = find_nearest(x, outputCoordinates[1])[1]
|
||||
select_3 = find_nearest(y, outputCoordinates[2])[0]
|
||||
select_4 = find_nearest(y, outputCoordinates[3])[0]
|
||||
return [select_1, select_2, select_3, select_4]
|
||||
|
||||
def perform_extrapolation(x, y, n, m):
|
||||
# Determine properties of x,y meshgrid
|
||||
xshape = x.shape[0]
|
||||
yshape = y.shape[0]
|
||||
dpix = (np.abs(np.min(x)) + np.abs(np.max(x))) / (xshape-1)
|
||||
|
||||
# Extrapolate from, and include, the old x,y meshgrid
|
||||
xnew = np.linspace(-(n-1)/2*dpix, (n-1)/2*dpix, n)
|
||||
ynew = np.linspace(-(m-1)/2*dpix, (m-1)/2*dpix, m)
|
||||
xnew, ynew = np.meshgrid(xnew, ynew)
|
||||
return xnew, ynew
|
||||
|
||||
def calculate_dispersion(n_iter):
|
||||
# Parameters at Cerro Armazones
|
||||
T = 279.65 # k
|
||||
P = 71200 # Pa
|
||||
H = 0.22
|
||||
xc = 450 # ppm
|
||||
lat = -24.5983 # degrees
|
||||
h = 3064 # m
|
||||
l1 = 1.49 # micron
|
||||
l2 = 1.78 # micron
|
||||
|
||||
# Initializing dispersion model
|
||||
at = Observatory()
|
||||
|
||||
# Calculating indices of refraction for l1 and l2
|
||||
n1 = at.n_tph(l=l1, T=T, p=P, RH=H, xc=xc)
|
||||
n2 = at.n_tph(l=l2, T=T, p=P, RH=H, xc=xc)
|
||||
|
||||
# Density of the atmosphere (following CIPM-81/91 equations)
|
||||
rho = at.rho(p=P, T=T, RH=H, xc=xc)
|
||||
|
||||
# Initializing dispersion object
|
||||
disp = dispersion(lat, h)
|
||||
disp.setReducedHeight(P, rho)
|
||||
|
||||
zenith_obs = np.linspace(0,75,n_iter)
|
||||
dispersion_obs = [disp.cassini(n1, n2, z) for z in zenith_obs]
|
||||
return dispersion_obs, zenith_obs
|
||||
|
||||
if __name__ == '__main__':
|
||||
plt.rc('font', family='serif')
|
||||
plt.rc('axes', labelsize='large')
|
||||
|
||||
|
||||
# Dispersion levels:
|
||||
lList = np.linspace(1.49e-3, 1.78e-3, 30).tolist()
|
||||
dispMaxList, zenith_obs = calculate_dispersion(25)
|
||||
for dispMax in dispMaxList:
|
||||
dispersion = np.linspace(0, dispMax, len(lList)).tolist()
|
||||
zenith_angle = zenith_obs[dispMaxList.index(dispMax)]
|
||||
print(zenith_angle)
|
||||
Exyz_list = []
|
||||
|
||||
# Input parameters:
|
||||
dpix = 50
|
||||
n, m = 3001, 3001
|
||||
x, y = np.meshgrid(np.linspace(-n/2*dpix, n/2*dpix, n), np.linspace(-m/2*dpix, m/2*dpix, m))
|
||||
print ('Your resolution is {}x{} with a pixel size of {}'.format(n,m,dpix))
|
||||
print('This means your grid is {} mm by {} mm, with each pixel {} mm.'.format(x.max()-x.min(), y.max()-y.min(), dpix))
|
||||
|
||||
###########################################################
|
||||
#################### SETTING UP MICADO ####################
|
||||
###########################################################
|
||||
|
||||
# Define the ELT mask (the spiders and central obscuration)
|
||||
prof = Profiles()
|
||||
# ELT_MASK = prof.top_hat(19427, n,m,dpix)#.astype('float64')
|
||||
# ELT_MASK = prof.obscured_top_hat(4000, 500, n, m, dpix)
|
||||
ELT_MASK = prof.ELT_pupil(n,m,dpix)
|
||||
|
||||
# plt.imshow(ELT_MASK);plt.colorbar();plt.show()
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
###########################################################
|
||||
|
||||
for l in lList:
|
||||
i = lList.index(l)
|
||||
print('Wavelength is {:.6f} mm. ({:02d}/{}).'.format(l,lList.index(l)+1, len(lList)))
|
||||
x, y = np.meshgrid(np.linspace(-n/2*dpix, n/2*dpix, n), np.linspace(-m/2*dpix, m/2*dpix, m))
|
||||
|
||||
fou = FourierOptics(l=l)
|
||||
wfe = WavefrontError(n,m)
|
||||
dispersion_tilt = wfe.generate_tilt(x, y, tx=0, ty=dispersion[i])
|
||||
|
||||
# ELT Mirror system combined into a single lens
|
||||
ELT_MIRROR = ParabolicMirror(dx=0, dy=0, name='ELT-paraxial', CA=38542, f=6.84022e5)
|
||||
|
||||
ELT_FP = OpticalSurface(name='MCD-IFP')
|
||||
|
||||
ELT_COL = ParaxialLens(CA=154.54, f=1418.94, name='MCD-COL')
|
||||
|
||||
ELT_ADC = ADCObject()
|
||||
|
||||
# optAngle = ELT_ADC.find_optimum_angle(17.9, lList[0], lList[-1])
|
||||
# print(optAngle)
|
||||
# print('ADC angle now set to {:.4f}'.format(ELT_ADC.theta))
|
||||
# ELT_ADC.set_orientation(180)
|
||||
|
||||
ELT_CAM = ParaxialLens(CA=89.2, f=4278.32701, name='MCD-CAM')
|
||||
|
||||
ELT_DET = OpticalSurface(name='MCD-DET')
|
||||
|
||||
MCD = OpticalTrain()
|
||||
MCD.add_object(ELT_MIRROR, dist=0)
|
||||
MCD.add_object(ELT_FP, dist=ELT_MIRROR.f)
|
||||
MCD.add_object(ELT_COL, dist=ELT_COL.f)
|
||||
ELT_ADC.add_to_optical_train(MCD, 1209.4718)
|
||||
MCD.add_object(ELT_CAM, dist=50)
|
||||
MCD.add_object(ELT_DET, dist=ELT_CAM.f)
|
||||
|
||||
# Print lens data for verification
|
||||
# MCD.print_lens_data()
|
||||
|
||||
###########################################################
|
||||
###################### PROPAGATION ########################
|
||||
###########################################################
|
||||
|
||||
coordinatesList = [
|
||||
[-1.5, 1.5, -1.5, 1.5],
|
||||
[-200, 200, -200, 200],
|
||||
[-120, 120, -120, 120],
|
||||
[-120, 120, -120, 120],
|
||||
[-120, 120, -120, 120],
|
||||
[-120, 120, -120, 120],
|
||||
[-120, 120, -120, 120],
|
||||
[-3.5, 3.5, -3.5, 3.5]
|
||||
]
|
||||
|
||||
xin, yin = x, y
|
||||
|
||||
print('Starting propagation...')
|
||||
|
||||
# From ELT-M1 to ELT-FP
|
||||
print('Propagating from ELT-M1 to ELT-IFP', end='\r')
|
||||
wf = ELT_MASK.astype('complex128')
|
||||
ELT_MIRROR.add_wavefront_error(dispersion_tilt)
|
||||
wf *= ELT_MIRROR.phase_delay(x,y,l, paraxial=True)
|
||||
Exyz, x, y = fou.fresnel_propagation(wf, xin, yin, dz=ELT_MIRROR.f, oversample=None,
|
||||
show=False, save=False)#, outputCoordinates=coordinatesList[0], apply_interpolation=False)
|
||||
|
||||
# From ELT-FP to MCD-COL
|
||||
print('Propagating from ELT-IFP to MCD-COL', end='\r')
|
||||
Exyz2, x2, y2 = fou.fresnel_propagation(Exyz, x, y, dz=ELT_COL.f, oversample=None,
|
||||
show=False, save=False, outputCoordinates=coordinatesList[1], apply_interpolation=False)
|
||||
|
||||
# From MCD-COL to MCD-ADC-P1
|
||||
print('Propagating from MCD-COL to MCD-ADC-P1', end='\r')
|
||||
Exyz2 *= ELT_COL.phase_delay(x2,y2,l, paraxial=True)
|
||||
Exyz3, x3, y3 = fou.plane_wave_propagation(Exyz2, x2, y2, dz=MCD.sequentialDistance[3], oversample=None,
|
||||
show=False, save=False, outputCoordinates=None)
|
||||
|
||||
# From MCD-ADC-P1 to MCD-ADC-P2
|
||||
print('Propagating from MCD-ADC-P1 to MCD-ADC-P2', end='\r')
|
||||
Exyz3 *= ELT_ADC.get_phase_delay(x3,y3,l, theta=None, paraxial=True, prism=1)
|
||||
Exyz4, x4, y4 = fou.plane_wave_propagation(Exyz3, x3, y3, dz=MCD.sequentialDistance[4], oversample=None,
|
||||
show=False, save=False, outputCoordinates=None)
|
||||
|
||||
# From MCD-ADC-P2 to MCD-ADC-P3
|
||||
print('Propagating from MCD-ADC-P2 to MCD-ADC-P3', end='\r')
|
||||
Exyz4 *= ELT_ADC.get_phase_delay(x4,y4,l, theta=None, paraxial=True, prism=2)
|
||||
Exyz5, x5, y5 = fou.plane_wave_propagation(Exyz4, x4, y4, dz=MCD.sequentialDistance[5], oversample=None,
|
||||
show=False, save=False, outputCoordinates=None)
|
||||
|
||||
# From MCD-ADC-P3 to MCD-ADC-P4
|
||||
print('Propagating from MCD-ADC-P3 to MCD-ADC-P4', end='\r')
|
||||
Exyz5 *= ELT_ADC.get_phase_delay(x5,y5,l, theta=None, paraxial=True, prism=3)
|
||||
Exyz6, x6, y6 = fou.plane_wave_propagation(Exyz5, x5, y5, dz=MCD.sequentialDistance[6], oversample=None,
|
||||
show=False, save=False, outputCoordinates=None)
|
||||
|
||||
# From MCD-ADC-P4 to MCD-CAM
|
||||
print('Propagating from MCD-ADC-P4 to MCD-CAM', end='\r')
|
||||
Exyz6 *= ELT_ADC.get_phase_delay(x6,y6,l, theta=None, paraxial=True, prism=4)
|
||||
Exyz7, x7, y7 = fou.plane_wave_propagation(Exyz6, x6, y6, dz=MCD.sequentialDistance[7], oversample=None,
|
||||
show=False, save=False, outputCoordinates=None)
|
||||
|
||||
# From MCD-CAM to MCD-DET
|
||||
print('Propagating from MCD-CAM to MCD-DET', end='\r')
|
||||
Exyz7 *= ELT_CAM.phase_delay(x7,y7,l, paraxial=True)
|
||||
Exyz8, x8, y8 = fou.fresnel_propagation(Exyz7, x7, y7, dz=ELT_CAM.f, oversample=None,
|
||||
show=False, save=False, outputCoordinates=coordinatesList[-1], apply_interpolation=True)
|
||||
|
||||
# The result here shifts the PSF to the side, due to the phase tilts of the ADC
|
||||
# surfaces. We find the locations of the maximum and redo the the fresnel propagation
|
||||
# around these coordinates.
|
||||
# print('Zooming in on the PSF location...', end='\r')
|
||||
# imax_1, imax_2 = find_maximum(np.abs(Exyz8))
|
||||
# x8max = x8[imax_1, imax_2]
|
||||
# y8max = y8[imax_1, imax_2]
|
||||
# newCoordinates = np.asarray(coordinatesList[7]) + np.array([x8max, x8max, y8max, y8max])
|
||||
# newCoordinates = newCoordinates.real.tolist()
|
||||
|
||||
# Exyz9, x9, y9 = fou.fresnel_propagation(Exyz7, x7, y7, dz=ELT_CAM.f, oversample=None,
|
||||
# show=False, save=False, outputCoordinates=newCoordinates, apply_interpolation=True)
|
||||
print('Propagation finished!')
|
||||
|
||||
|
||||
Exyz_list.append(np.abs(Exyz8)**2)
|
||||
fou = None
|
||||
del fou
|
||||
wfe = None
|
||||
del wfe
|
||||
MCD = None
|
||||
del MCD
|
||||
wf = None
|
||||
del wf
|
||||
ELT_MIRROR = None
|
||||
del ELT_MIRROR
|
||||
ELT_COL = None
|
||||
del ELT_COL
|
||||
ELT_ADC = None
|
||||
del ELT_ADC
|
||||
ELT_CAM = None
|
||||
del ELT_CAM
|
||||
ELT_DET = None
|
||||
del ELT_DET
|
||||
###########################################################
|
||||
|
||||
|
||||
Exyz_total = np.asarray(Exyz_list).sum(axis=0)
|
||||
if zenith_angle == zenith_obs[0]:
|
||||
maxIntensity = np.max(Exyz_total)
|
||||
|
||||
_xip = x8
|
||||
_yip = y8
|
||||
save = 'ELT-MCD-Hband_dispersion_z{:02d}.pdf'.format(int(zenith_angle))
|
||||
_fig = plt.figure()
|
||||
_ax = _fig.add_subplot(111)
|
||||
_im = _ax.imshow(Exyz_total.T, cmap='hot',
|
||||
extent=[_xip.min(), _xip.max(), _yip.min(), _yip.max()],
|
||||
norm=LogNorm(vmax=maxIntensity, vmin=2e-7))
|
||||
_ax.set_xlim([_xip.min(), _xip.max()])
|
||||
_ax.set_ylim([_yip.min(), _yip.max()])
|
||||
_ax.set_xlabel('x [mm]')
|
||||
_ax.set_ylabel('y [mm]')
|
||||
_fig.colorbar(_im, ax=_ax, label='Intensity')
|
||||
plt.tight_layout()
|
||||
plt.savefig(save, bbox_inches='tight', transparent=True)
|
||||
plt.close()#show()
|
||||
|
||||
set_trace()
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Reference in new issue
Block a user