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modified filter parameters. Using a conic filter with radius 0.5
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+4
-4
@@ -36,7 +36,7 @@ z_prop = 300 #propagation distance
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input_field = np.ones((S))
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opt_max_eval = 300
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opt_max_eval = 200
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def phase_given_w(w):
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'''Returns the phase shift given the design parameters w.
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@@ -104,7 +104,7 @@ target_intensity = intensity_desired_fn_pattern(xs, ys)
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mean_target_intensity = np.mean(target_intensity)
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filter_radius_um = 1
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filter_radius_um = 0.5
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def _centered(arr: np.ndarray, newshape: ArrayLikeType) -> np.ndarray:
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"""Formats the output of an FFT to center the zero-frequency component.
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@@ -228,8 +228,8 @@ def conic_filter(phase_mask,radius,size_x,size_y,resolution):
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X, Y = npa.meshgrid(xv, yv)
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#h = npa.where(X**2 + Y**2 < radius**2, (1 - np.sqrt(abs(X**2 + Y**2)) / radius),0)
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h = npa.where(X**2 + Y**2 < radius**2, 1, 0)
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h = npa.where(X**2 + Y**2 < radius**2, (1 - np.sqrt(abs(X**2 + Y**2)) / radius),0)
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#h = npa.where(X**2 + Y**2 < radius**2, 1, 0)
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h = _quarter_to_full_kernel(h, 3 * np.array([Nx, Ny]))
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h = h / npa.sum(h)
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H = npa.fft.fft2(h)
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