#!/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') from fourierOptics import * from scipy import interpolate ''' This file simulates the paraxial optical model of the ELT-MICADO system with an ADC placed inside the collimated beam near the pupil. Author: Joost van den Born Contact: born@astron.nl ''' if __name__ == '__main__': plt.rc('font', family='serif') plt.rc('axes', labelsize='large') l = 1.35e-3 fou = FourierOptics(l=l) # MICADO paraxial system # Pick sampling parameters dpix = 50 n, m = 3001, 3001 print ('Your resolution is {}x{} with a pixel size of {}'.format(n,m,dpix)) # Create an input grid x, y = np.meshgrid(np.linspace(-n/2*dpix, n/2*dpix, n), np.linspace(-m/2*dpix, m/2*dpix, m)) 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) # ELT Mirror system combined into a single lens ELT_MIRROR = ParabolicMirror(dx=0, dy=0, name='ELT-paraxial', CA=38854, f=6.84022e5) ELT_FP = OpticalSurface(name='MCD-IFP') ELT_COL = ParaxialLens(CA=154.54, f=1418.94, name='MCD-COL') ELT_ADC = ADCObject() 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], [-2.5, 2.5, -2.5, 2.5] ] xin, yin = x, y zList = np.linspace(ELT_MIRROR.f-100, ELT_MIRROR.f+100, 15).tolist() print('Starting propagation...') # From ELT-M1 to ELT-FP print('Propagating from ELT-M1 to ELT-IFP') wf = ELT_MASK.astype('complex128') 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') 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') 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') 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') 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') 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') 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') 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=None, apply_interpolation=False) # save_variable('./data/MICADO_PSF_(1.35).pkl', [Exyz8, x8, y8]) # 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...') 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() save = 'MICADO_PSF.pdf' Exyz9, x9, y9 = fou.fresnel_propagation(Exyz7, x7, y7, dz=ELT_CAM.f, oversample=None, show=True, save=save, outputCoordinates=newCoordinates, apply_interpolation=True) print('Propagation finished!') # save_variable('./data/MICADO_PSF_(1.35)_interpolated.pkl', [Exyz9, x9, y9]) ###########################################################