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e47e960 87627fc e47e960 d1d7e79 ff6d288 e47e960 ff6d288 e41c0b5 e47e960 d1d7e79 ff6d288 87627fc ff6d288 87627fc ff6d288 87627fc d1d7e79 87627fc e47e960 ff6d288 87627fc d1d7e79 87627fc d1d7e79 ff6d288 e47e960 d1d7e79 e47e960 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 | import matplotlib.pyplot as plt
import cupy as cp
import numpy as np
import math
from numpy.fft import fft2, fftshift, ifftshift
from cupyx.scipy import fft as fft_gpu
from zern_generator import Zernike
def denoise(screen: np.ndarray):
return np.where(np.abs(screen) < 1e-4, 0, screen)
class FraunhoferGPU:
def __init__(self, zernike: Zernike):
self.focal_distance = 100 * 10 ** -3
self.distance = 100 * 10 ** -3
self.radius = 5 * 10 ** -3
self.span = (-(10 ** -2), 10 ** -2)
self.wavelength = 500 * 10 ** -9
self.k = 2*math.pi/self.wavelength
self.zernike = zernike
def get_focal_point(self,input_screen):
input_screen_gpu = cp.asarray(input_screen)
xv = cp.asarray(self.zernike.xv)
yv = cp.asarray(self.zernike.yv)
phase_mul = ((cp.exp(1j*self.k*self.distance) * cp.exp(1j*self.k*(xv**2 + yv**2)/(2*self.distance)))/(1j*self.wavelength*self.distance))
U_fraun = fft_gpu.fft2(fft_gpu.ifftshift(input_screen_gpu), overwrite_x=True)
U_fraun = fftshift(U_fraun * phase_mul)
I_fraun = cp.abs(U_fraun)**2
return I_fraun / cp.max(I_fraun)
def generate_diff(self, defocus_amount, *zernikes):
zernikes = list(zernikes)
if len(zernikes) < 5:
zernikes += [0] * (5-len(zernikes))
wf = self.zernike.generate_zern_screen([1], self.radius)
f_plus = self.zernike.generate_zern_screen(self.zernike.add_defocus(defocus_amount,zernikes), norm_radius=self.radius)
f_minus = self.zernike.generate_zern_screen(self.zernike.add_defocus(-defocus_amount,zernikes), norm_radius=self.radius)
wf_c = cp.asarray(wf)
f_plus_c = cp.asarray(f_plus)
f_minus_c = cp.asarray(f_minus)
focal_image_plus = denoise(self.get_focal_point(wf_c*cp.exp(f_plus_c * 1j)))
focal_image_minus = denoise(self.get_focal_point(wf_c*cp.exp(f_minus_c * 1j)))
return (
cp.asnumpy(focal_image_plus),
cp.asnumpy(focal_image_minus),
cp.asnumpy(focal_image_plus - focal_image_minus)
)
class Fraunhofer:
def __init__(self, zernike: Zernike):
self.focal_distance = 100 * 10 ** -3
self.distance = 100 * 10 ** -3
self.radius = 5 * 10 ** -3
self.span = (-(10 ** -2), 10 ** -2)
self.wavelength = 500 * 10 ** -9
self.k = 2*math.pi/self.wavelength
self.zernike = zernike
# def _denoise(screen: np.ndarray):
# return np.where(np.abs(screen) < 1e-4, 0, screen)
def get_focal_point(self,input_screen):
input_screen_gpu = np.asarray(input_screen)
phase_mul = ((np.exp(1j*self.k*self.distance) * np.exp(1j*self.k*(self.zernike.xv**2 + self.zernike.yv**2)/(2*self.distance)))/(1j*self.wavelength*self.distance))
U_fraun = fft2(ifftshift(input_screen_gpu))
U_fraun = fftshift(U_fraun * phase_mul)
#U_fraun = fftshift(U_fraun)
I_fraun = np.abs(U_fraun)**2
return I_fraun / np.max(I_fraun)
def generate_diff(self, defocus_amount, *zernikes):
zernikes = list(zernikes)
if len(zernikes) < 5:
zernikes += [0] * (5-len(zernikes))
wf = self.zernike.generate_zern_screen([1], self.radius)
f_plus = self.zernike.generate_zern_screen(
self.zernike.add_defocus(defocus_amount,zernikes),
norm_radius=self.radius
)
f_minus = self.zernike.generate_zern_screen(
self.zernike.add_defocus(-defocus_amount,zernikes),
norm_radius=self.radius
)
wf_c = np.asarray(wf)
f_plus_c = np.asarray(f_plus)
f_minus_c = np.asarray(f_minus)
focal_image_plus = denoise(
self.get_focal_point(wf_c*np.exp(f_plus_c * 1j))
)
focal_image_minus = denoise(
self.get_focal_point(wf_c*np.exp(f_minus_c * 1j))
)
diff = focal_image_plus - focal_image_minus
normalized_diff = diff / cp.max(diff)
return (
cp.asnumpy(focal_image_plus),
cp.asnumpy(focal_image_minus),
cp.asnumpy(normalized_diff)
)
if __name__ == "__main__":
zernike = Zernike()
zernike.set_image_params(npix=2 ** 8)
zoom_factor = 20
f = Fraunhofer(zernike=zernike)
ratio = (f.wavelength*f.focal_distance)/f.radius
zernikes = [[1 if i == j else 0 for i in range(0,24)] for j in range(20,24)]
print(zernikes)
fig, ax = plt.subplots(4,1)
for i, z in enumerate(zernikes):
print(zernike._osa_to_noll_list(z))
wf_a = zernike.generate_zern_screen([1], 0.01/zoom_factor)
wf_c = zernike.generate_zern_screen(z, 0.01/zoom_factor)
wf_c_nz = zernike.generate_zern_screen(z, 0.01)
wf = wf_a * np.exp(wf_c*1j)
focal = f.get_focal_point(wf)
zoom = ratio*zoom_factor
#ax[i][0].imshow(np.abs(wf_c_nz))
ax[i].imshow(np.abs(focal))
ax[i].imshow(np.abs(focal))
ax[0].set_title("Zernike 5 - DEFOCUS")
ax[1].set_title("Zernike 6 - V-PR-ASTIGMATISM")
ax[2].set_title("Zernike 7 - V-TREFOIL")
ax[3].set_title("Zernike 8 - V-PR_COMA")
ax[0].axis('off')
ax[1].axis('off')
ax[2].axis('off')
ax[3].axis('off')
plt.show()
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