Jan 2023 Recalc

[Jorge-Alda]

Recalc with the newest $R{K^{(*)}}$ and $R{D^{(*)}}$ experimental measurements and a couple of improvements:

• [x] $R{K^{(*)}}$ and $R{D^{(*)}}$ experimental measurements
• [x] $R_{J/\psi}$: https://github.com/Jorge-Alda/flavio/tree/BctoJpsi
• [ ] Improved performance for smelli: https://github.com/Jorge-Alda/smelli/tree/cacheRGE

[Jorge-Alda]

A bit of dependency hell:

• smelli's obstable_sm only works correctly with Python 3.11. Otherwise, it complains that the arrays are not C-contiguous, probably related to numpy.
• One of shap's dependencies, llvmlite (why does it even need a compilator) only can be installed via pip with Python 3.9.

Luckily, we don't use them at the same time. So I will do the first part with Python 3.11, and when all the training points are computed, will switch to 3.9 for the machine learning part.

[Jorge-Alda]

The culprit was in fact scipy's version 1.10. Going back to 1.9.3 solves the issue, and we can do everything in Python 3.9.

[Jorge-Alda]

Update: The fit now includes new values for $R_{D^*}$, angular observables in $B^0\to D^*\ell\nu and more updated observables.