def load_parameters(filename, process, constraints):
implementation_name = process + ' BSZ'
parameter_names = [
implementation_name + ' ' + coeff_name for coeff_name in a_ff_string
]
# a0_A0 and a0_T2 are not treated as independent parameters!
parameter_names.remove(implementation_name + ' a0_A0')
parameter_names.remove(implementation_name + ' a0_T2')
for parameter_name in parameter_names:
try: # check if parameter object already exists
p = Parameter[parameter_name]
except: # otherwise, create a new one
p = Parameter(parameter_name)
# get LaTeX representation of coefficient and form factor names
_tex_a = tex_a[parameter_name.split(' ')[-1].split('_')[0]]
_tex_ff = tex_ff[parameter_name.split(' ')[-1].split('_')[-1]]
p.tex = r'$' + _tex_a + r'^{' + _tex_ff + r'}$'
p.description = r'BSZ form factor parametrization coefficient $' + _tex_a + r'$ of $' + _tex_ff + r'$'
else: # if parameter exists, remove existing constraints
constraints.remove_constraint(parameter_name)
[central, unc, corr] = get_ffpar(filename)
constraints.add_constraint(
parameter_names,
MultivariateNormalDistribution(central_value=central,
covariance=np.outer(unc, unc) * corr))
def load_parameters(filename, process, constraints):
implementation_name = process + ' BSZ'
parameter_names = [implementation_name + ' ' + coeff_name for coeff_name in a_ff_string]
# a0_f0 is not treated as independent parameter!
parameter_names.remove(implementation_name + ' a0_f0')
for parameter_name in parameter_names:
try: # check if parameter object already exists
p = Parameter[parameter_name]
except KeyError: # if not, create a new one
p = Parameter(parameter_name)
# get LaTeX representation of coefficient and form factor names
_tex_a = tex_a[parameter_name.split(' ')[-1].split('_')[0]]
_tex_ff = tex_ff[parameter_name.split(' ')[-1].split('_')[-1]]
p.tex = r'$' + _tex_a + r'^{' + _tex_ff + r'}$'
p.description = r'BSZ form factor parametrization coefficient $' + _tex_a + r'$ of $' + _tex_ff + r'$'
else: # if parameter exists, remove existing constraints
constraints.remove_constraint(parameter_name)
[central, unc, corr] = get_ffpar(filename)
constraints.add_constraint(parameter_names,
MultivariateNormalDistribution(central_value=central, covariance=np.outer(unc, unc)*corr))
def load_parameters(file_res, file_cov, process, constraints):
implementation_name = process + ' SSE'
res_dict = csv_to_dict(file_res)
cov_dict = csv_to_dict(file_cov)
keys_sorted = sorted(res_dict.keys())
res = [res_dict[k] for k in keys_sorted]
cov = np.array([[ cov_dict.get((k,m),0) for m in keys_sorted] for k in keys_sorted])
parameter_names = [implementation_name + ' ' + translate_parameters(coeff_name) for coeff_name in keys_sorted]
for parameter_name in parameter_names:
try: # check if parameter object already exists
p = Parameter[parameter_name]
except: # otherwise, create a new one
p = Parameter(parameter_name)
_tex_a = tex_a[parameter_name.split(' ')[-1].split('_')[0]]
_tex_ff = tex_ff[parameter_name.split(' ')[-1].split('_')[-1]]
p.tex = r'$' + _tex_a + r'^{' + _tex_ff + r'}$'
p.description = r'SSE form factor parametrization coefficient $' + _tex_a + r'$ of $' + _tex_ff + r'$'
else: # if parameter exists, remove existing constraints
constraints.remove_constraint(parameter_name)
constraints.add_constraint(parameter_names,
MultivariateNormalDistribution(central_value=res, covariance=cov ))
