flavio.physics.bdecays.bc_lifetime module
$B_c$ lifetime
r"""$B_c$ lifetime""" import flavio def tau_Bc(wc_obj, par): r"""Lifetime of the $B_c$ meson based on the SM OPE estimate plus the NP contribution to leptonic decays.""" Gamma_SM = 1 / par['tau_Bc_SM'] Gamma_exp = 1 / par['tau_Bc'] Gamma_NP = 0 wc_sm = flavio.WilsonCoefficients() for l in ['e', 'mu', 'tau']: _br_SM = flavio.Observable['BR(Bc->{}nu)'.format(l)].prediction_par(par, wc_sm) _br_NP = flavio.Observable['BR(Bc->{}nu)'.format(l)].prediction_par(par, wc_obj) Gamma_NP += (_br_NP - _br_SM) * Gamma_exp return 1 / (Gamma_SM + Gamma_NP) # Observable and Prediction instance _process_tex = r"B_c\to X" _process_taxonomy = r'Process :: $b$ hadron decays :: Lifetimes :: $' + _process_tex + r"$" _obs_name = "tau_Bc" _obs = flavio.classes.Observable(_obs_name) _obs.set_description(r"$B_c$ lifetime") _obs.tex = r"$\tau_{B_c}$" _obs.add_taxonomy(_process_taxonomy) flavio.classes.Prediction(_obs_name, tau_Bc)
Functions
def tau_Bc(
wc_obj, par)
Lifetime of the $B_c$ meson based on the SM OPE estimate plus the NP contribution to leptonic decays.
def tau_Bc(wc_obj, par): r"""Lifetime of the $B_c$ meson based on the SM OPE estimate plus the NP contribution to leptonic decays.""" Gamma_SM = 1 / par['tau_Bc_SM'] Gamma_exp = 1 / par['tau_Bc'] Gamma_NP = 0 wc_sm = flavio.WilsonCoefficients() for l in ['e', 'mu', 'tau']: _br_SM = flavio.Observable['BR(Bc->{}nu)'.format(l)].prediction_par(par, wc_sm) _br_NP = flavio.Observable['BR(Bc->{}nu)'.format(l)].prediction_par(par, wc_obj) Gamma_NP += (_br_NP - _br_SM) * Gamma_exp return 1 / (Gamma_SM + Gamma_NP)