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Evolution matrix formalism failing for large WC #118
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I don't understand what should not be working here. If you use such an extremely large value for Note that |
Yes, I added a comment on that just few minutes ago indeed :) Indeed I was finding that this was happening only for some operators, the ones that modify the inputs! Thanks for the prompt answer, I will close the issue, I overlooked the inputs effect :) |
Maybe let me just add that if you would fully linearise the RGEs, you would not see the effects mentioned above. Your code does not fully linearise the RGEs since it only removes the dim-6 contributions in the dim-4 running, but it doesn't remove the dim-6 contributions in the extraction of the dim-4 parameters. The current version of wilson has not been written to linearise the RGEs, so without further monkey patching you will always see some non-linear effects. |
Thanks, indeed I proceeded to monkey patch that part to fully linearise things. I also needed to switch off the flavour rotation at the end of the evolution, does it make sense to you? |
If you switch off the flavour rotation at the end of the evolution, you will end up in a non-canonical flavour basis in which neither the down- nor the up-Yukawa matrix is diagonal. I don't think this is what you want, and so you should not switch it off. If you want to include the flavour rotation in an evolution matrix, i.e. you want to remove any non-linearities in the dim-6 Wilson coefficients, then I think what you should do is to remove the dim-6 contributions to the mass matrices that are diagonalized to obtain the flavour rotation matrices. So I think you would have to patch the following lines: wilson/wilson/run/smeft/classes.py Lines 129 to 131 in 3edd495
Of course this is only a good approximation if the coefficients ephi , uphi , and dphi are small enough.
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Is the flavour rotation doing anything relevant for the WC running if SM parameters are running on their own (dim-6 contributions there have been switched off) and there is no input redefinitions with dim-6 operators? |
Yes, it does. The RG evolution of the Yukawa matrices in the SM (without any dim-6 contributions) leads to a rotation in flavour space. This means that an initially diagonal Yukawa matrix will have non-zero off-diagonal entries after the RG evolution and has to be re-diagonalized. This re-diagonalization, also known as "back-rotation", rotates the fermion fields in flavour space, and so it affects all operators involving fermions, even if the RG evolution of the Yukawa matrices is only the SM RG evolution. Strictly speaking, the back-rotation is not part of the RG evolution itself. But the RG evolution doesn't preserve a given flavour basis. So if you don't re-diagonalize, then you run from one flavour basis at some scale into a different flavour basis at another scale. Making the re-diagonalization part of the running, i.e. defining the running as a combination of RG evolution and back-rotation, allows you to actually run from a given flavour basis at some scale to the same flavour basis at another scale. So if you want to have an evolution matrix that evolves dim-6 coefficients from one scale to another in one and the same flavour basis, then this evolution matrix has to be a combination of the RG evolution matrix and the back-rotation matrix, which are both independent of the values of dim-6 coefficients if the dim-6 corrections to dim-4 parameters are neglected. For some examples of the phenomenological relevance of the back-rotation, see e.g. https://arxiv.org/abs/2005.12283. |
I see, thanks for the explanation and the reference, very interesting! We are currently running with only top-yukawa turned on and in that case the RG preserves the structure (within all of our approximations) not generating off-diagonal nor other Yukawas. So in this specific case, the rotation does not seem to have an impact. |
Yes, if the CKM matrix is taken to be the unit matrix and so up and down Yukawa matrices can be simultaneously diagonalised (which is the case in your scenario with only top Yukawa turned on), then the Yukawa couplings preserve a global flavour symmetry that protects you from generating off-diagonal entries through RG evolution. |
Dear authors,
I am using wilson with a monkey patch in order linearise the RGE. However, I am finding that while the approximation seems to hold for small wilson coefficient values, it fails if the values are big, e.g. if we run the following snippet
it returns
where the second is not 10 times the first.
If I repeat the exercise with smaller values, it works much better, although not perfect. Do you understand why it's not working? there must be something I am missing that happens in the code.
Could it be because this operator is redefining an input parameter? I find that other operators are less affected.
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