How to use the smelli.ckm.CKMSchemeRmuBtaunuBxlnuDeltaM function in smelli
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smelli / smelli / smelli / test_ckm.py View on Github 
def test_fast_likelihoods(self):
scheme = ckm.CKMSchemeRmuBtaunuBxlnuDeltaM()
ckm_central = scheme.ckm_np()
gl = smelli.GlobalLikelihood()
for fl in gl.fast_likelihoods.values():
par = fl.par_obj
self.assertAlmostEqual(par.get_central('Vus'), ckm_central[0], delta=0.00001)
self.assertAlmostEqual(par.get_central('Vcb'), ckm_central[1], delta=0.00001)
self.assertAlmostEqual(par.get_central('Vub'), ckm_central[2], delta=0.00001)
self.assertAlmostEqual(par.get_central('delta'), ckm_central[3], delta=0.0001)smelli
A Python package providing a global likelihood function in the space of dimension-6 Wilson coefficients of the Standard Model Effective Field Theory (SMEFT)
