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Jammy2211Copilot
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Update autoarray/inversion/regularization/matern_adaptive_brightness_kernel.py
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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autoarray/inversion/regularization/matern_adaptive_brightness_kernel.py

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@@ -89,7 +89,7 @@ def __init__(
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schemes, where regularization is based on neighboring (e.g. do the pixels share a Delaunay edge?) or computing
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derivatives around the center of the pixel (where nearby pixels are regularization locally in similar ways).
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This makes the regularization matrix fully dense and therefore maybe change the run times of the solution.
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This makes the regularization matrix fully dense and therefore may change the run times of the solution.
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It also leads to more overall smoothing which can lead to more stable linear inversions.
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For the weighted regularization scheme, each pixel is given an 'effective regularization weight', which is

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