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modified filter parameters. Using a conic filter with radius 0.5

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edoardo
2026-06-05 08:32:06 +02:00
parent 1f3e3d5775
commit 034f6c83c7
1 changed files with 4 additions and 4 deletions
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metaprop_ad.py
+4 -4
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@@ -36,7 +36,7 @@ z_prop = 300 #propagation distance
input_field = np.ones((S)) input_field = np.ones((S))
opt_max_eval = 300 opt_max_eval = 200
def phase_given_w(w): def phase_given_w(w):
'''Returns the phase shift given the design parameters w. '''Returns the phase shift given the design parameters w.
@@ -104,7 +104,7 @@ target_intensity = intensity_desired_fn_pattern(xs, ys)
mean_target_intensity = np.mean(target_intensity) mean_target_intensity = np.mean(target_intensity)
filter_radius_um = 1 filter_radius_um = 0.5
def _centered(arr: np.ndarray, newshape: ArrayLikeType) -> np.ndarray: def _centered(arr: np.ndarray, newshape: ArrayLikeType) -> np.ndarray:
"""Formats the output of an FFT to center the zero-frequency component. """Formats the output of an FFT to center the zero-frequency component.
@@ -228,8 +228,8 @@ def conic_filter(phase_mask,radius,size_x,size_y,resolution):
X, Y = npa.meshgrid(xv, yv) X, Y = npa.meshgrid(xv, yv)
#h = npa.where(X**2 + Y**2 < radius**2, (1 - np.sqrt(abs(X**2 + Y**2)) / radius),0) h = npa.where(X**2 + Y**2 < radius**2, (1 - np.sqrt(abs(X**2 + Y**2)) / radius),0)
h = npa.where(X**2 + Y**2 < radius**2, 1, 0) #h = npa.where(X**2 + Y**2 < radius**2, 1, 0)
h = _quarter_to_full_kernel(h, 3 * np.array([Nx, Ny])) h = _quarter_to_full_kernel(h, 3 * np.array([Nx, Ny]))
h = h / npa.sum(h) h = h / npa.sum(h)
H = npa.fft.fft2(h) H = npa.fft.fft2(h)