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95 lines
3.3 KiB
Python
95 lines
3.3 KiB
Python
import numpy as np
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import sys
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sys.path.insert(0, '/Users/joost/Dropbox/Werk/PhD/Analyses/Python/Analytical/Fourier Optics')
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from fourierOptics import *
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'''
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Author: Joost van den Born, PhD student at University of Groningen
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Contact: born@astro.rug.nl
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Description: Script to generate two plots of the footprint on MCD-CAM lens,
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showing the impact of the WFEs on the amplitude and phase
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near the exit pupil.
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Script made for the SPIE manuscript.
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'''
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if __name__ == '__main__':
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plt.rc('text', usetex=True)
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plt.rc('font', family='serif')
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# Initializing MICADO paraxial model
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mcd = ParaxialMICADO(n=3001, m=3001, dpix=50)
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wfe = WavefrontError(mcd.n, mcd.m)
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# Setup
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l = 1.49e-3
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# Set field points
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hxList = [-1,-1,0, 1,1]
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hyList = [-1, 1,0,-1,1]
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# Propagate through the field positions without any WFEs
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for i in range(len(hxList)):
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hx = hxList[i]
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hy = hyList[i]
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print('hx: {} - hy: {}'.format(hx,hy) )
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# Propagate through the MICADO system
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prop_surf = 4
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E, x, y = mcd.propagate(l=l,surface=prop_surf, zoom=False, show=False,
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print_progress=False, hx=hx, hy=hy)
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# Save the resulting 'perfect' PSF for later
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if prop_surf == 4:
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# Don't show anything outside the clear aperture.
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mask = np.sqrt(x**2 + y**2) > mcd.ELT_ADC.p1.CA/2
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# Plot P1
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footprint_p1 = E.copy()
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footprint_p1[mask]=np.nan
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# figp1, axp1, axp2 = plot_results(footprint_p1[850:2150,850:2150], x[850:2150,850:2150], y[850:2150,850:2150],
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# fig_size=(12,5), show=False)
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figp1, axp1 = plot_real_valued_results(np.abs(footprint_p1)[850:2150,850:2150], x[850:2150,850:2150], y[850:2150,850:2150],
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labeltext='Amplitude', show=False, fig_size=None)
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# plt.savefig('./figures/ELT-MCD-ADC_footprint_no_wfe_{}_{}.pdf'.format(hx,hy), bbox_inches='tight', transparent=True)
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plt.savefig('./figures/ELT-MCD-ELT-M1.png', bbox_inches='tight', transparent=True)
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plt.show()
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# Load in the WFEs and set them to the corresponding ADC surfaces
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wfe_p1 = load_variable('./data/ADC_tWFE_p1_psd_25nm.pkl')
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wfe_p2 = load_variable('./data/ADC_tWFE_p2_psd_25nm.pkl')
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wfe_p3 = load_variable('./data/ADC_tWFE_p3_psd_25nm.pkl')
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wfe_p4 = load_variable('./data/ADC_tWFE_p4_psd_25nm.pkl')
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mcd.ELT_ADC.p1.add_wavefront_error(wfe_p1)
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mcd.ELT_ADC.p2.add_wavefront_error(wfe_p2)
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mcd.ELT_ADC.p3.add_wavefront_error(wfe_p3)
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mcd.ELT_ADC.p4.add_wavefront_error(wfe_p4)
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# Iterating over the field positions.
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print('\nPropagation with Wavefront Errors applied')
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prop_surf = 4
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for i in range(len(hxList)):
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hx = hxList[i]
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hy = hyList[i]
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print('hx: {} - hy: {}'.format(hx,hy) )
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# Propagate through the MICADO system
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Ep, xp, yp = mcd.propagate(l=l,surface=prop_surf+4, zoom=False, show=False,
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print_progress=False, hx=hx, hy=hy)
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if prop_surf == 4:
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# Don't show anything outside the clear aperture.
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mask = np.sqrt(x**2 + y**2) > mcd.ELT_ADC.p1.CA/2
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# Plot P1
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footprint_p1 = Ep.copy()
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figp1, axp1, axp2 = plot_results(footprint_p1[1050:1350,1150:1450], x[1050:1350,1150:1450], y[1050:1350,1150:1450],
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fig_size=(12,5), show=False)
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plt.savefig('./figures/ELT-MCD-COL_footprint_with_wfe_{}_{}_zoom.pdf'.format(hx,hy), bbox_inches='tight', transparent=True)
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plt.savefig('./figures/ELT-MCD-COL_footprint_with_wfe_{}_{}_zoom.png'.format(hx,hy), bbox_inches='tight', transparent=True)
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plt.show()
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