A.G.

In notebooks, using `` used to effectively exclude the header from TOC and TOC numbering. Not anymore since jupyter lab 3.0. Actually, it still does exclude it when I refresh...

@MikhailRyazanov In order to use the formula that you suggest, the assumption made is that whatever the algorithm used for the abel transform it is always a linear transformation. So...

One more remark with respect to affine transform and reverse Abel transform. Normally, if we apply an affine transformation onto the projected data to be inverted, this should only linearly...

> Regarding the affine transform, the idea of adding a constant is just wrong because your own quote says that the function must “drop to zero more quickly than 1/r”,...

Happy new year! I would agree with @MikhailRyazanov on this. It is best to find it in the doc, under the math section. A one line reference to background subtration...

Further remark concerning the presence of a constant background My previous remark > the invert transform should not be sensitive to an offset in the input due to the derivative...

To conclude on this issue about error propagation, I would like to now share the solution to my initial problem. My approach was: - [x] to check the linearity of...

I think the documentation about the Tikhonov regularisation could be made more explicit. The `reg` parameter is a bit hidden and the argument `transform_options` only work with `basex`. I would...

Sorry, I have made a small mistake in my explanation. The image was not reversed, I was just shifted 1234 -> 4123 I will set a complete MWE with a...

This is a very interesting finding @anntzer ! I will try to write a patch as you have suggested. I am also time constrained here, but let's not be pessimistic!