DavidMStraub
commented
1 year ago Read the paper and the basis documentation please: https://wcxf.github.io/
Switching on a s->d Wilson coefficient and expecting a b->s transition to show an effect, well...
Hi, I'm looking to use the log likelihood method to fit Wilson coefficients to our measurement data. I plan to use an external minimiser.
The problem is, if I change the Wilson coefficients, it doesn't change the likelihood (I change in w).
Also, I can't find what C9_sdmumu actually means (i've used it since I'm interested in C9, C10 for B0 -> Kmumu decay, and K has a strange and down quark), but this is just a guess.
w = Wilson({ 'C9_sdmumu': 0, 'C10_sdmumu': 1}, scale=160, eft='WET', basis='flavio')
par = flavio.default_parameters par_dict = par.get_central_all()
llh = Likelihood (fitparameters = ['B0->K*0 deltaC9 a+ Re', 'B0->K0 deltaC10 a_+ Re'], observables =[('(B0->K mumu)',0.1,0.98), ('(B0->K*mumu)',0.1,0.98)])
llh.log_likelihood(par_dict, w)