def test_bsll_classes(self):
par_default = default_parameters.get_central_all()
self.assertAlmostEqual(
br_timeint(par_default, wc_tau, 'Bs', 'tau', 'tau') /
Observable['BR(Bs->tautau)'].prediction_central(
default_parameters, wc_obj),
1,
places=4)
self.assertAlmostEqual(br_timeint(par_default, wc_e, 'Bs', 'e', 'e') /
Observable['BR(Bs->ee)'].prediction_central(
default_parameters, wc_obj),
1,
places=4)
self.assertAlmostEqual(br_timeint(par_default, wc, 'Bs', 'mu', 'mu') /
Observable['BR(Bs->mumu)'].prediction_central(
default_parameters, wc_obj),
1,
places=4)
def test_bsll_classes(self):
par_default = default_parameters.get_central_all()
self.assertAlmostEqual(br_timeint(par_default, wc_tau, 'Bs', 'tau', 'tau')/Observable['BR(Bs->tautau)'].prediction_central(default_parameters, wc_obj), 1, places=4)
self.assertAlmostEqual(br_timeint(par_default, wc_e, 'Bs', 'e', 'e')/Observable['BR(Bs->ee)'].prediction_central(default_parameters, wc_obj), 1, places=4)
self.assertAlmostEqual(br_timeint(par_default, wc, 'Bs', 'mu', 'mu')/Observable['BR(Bs->mumu)'].prediction_central(default_parameters, wc_obj), 1, places=4)
# 3rd
from flavio.physics.bdecays.formfactors.b_p import bcl
from flavio.parameters import default_parameters
from functools import lru_cache as cache
cache_size = 1000
default_central_values = default_parameters.get_central_all()
@cache(maxsize=cache_size)
def fplus(q2):
return bcl.ff_isgurwise("B->D", q2, default_central_values, 4.8, n=3)["f+"]
@cache(maxsize=cache_size)
def fzero(q2):
return bcl.ff_isgurwise("B->D", q2, default_central_values, 4.8, n=3)["f0"]
@cache(maxsize=cache_size)
def fT(q2):
return bcl.ff_isgurwise("B->D", q2, default_central_values, 4.8, n=3)["fT"]