def cal_fitfractions(params_file):
config = ConfigLoader("config.yml")
config.set_params(params_file)
params = config.get_params()
config.get_params_error(params)
mcdata = (
config.get_phsp_noeff()
) # use the file of PhaseSpace MC without efficiency indicated in config.yml
fit_frac, err_frac = fit_fractions(
config.get_amplitude(), mcdata, config.inv_he, params
)
print("########## fit fractions:")
fit_frac_string = ""
for i in fit_frac:
if isinstance(i, tuple):
name = "{}x{}".format(*i) # interference term
else:
name = i # fit fraction
fit_frac_string += "{} {}\n".format(
name, error_print(fit_frac[i], err_frac.get(i, None))
)
print(fit_frac_string)
print("########## fit fractions table:")
print_frac_table(
fit_frac_string
) # print the fit-fractions as a 2-D table. The codes below are just to implement the print function.
def fit(config="config.yml", init_params="init_params.json", method="BFGS"):
"""
simple fit script
"""
# load config.yml
config = ConfigLoader(config)
# set initial parameters if have
try:
config.set_params(init_params)
print("using {}".format(init_params))
except Exception as e:
if str(e) != "[Errno 2] No such file or directory: 'init_params.json'":
print(e)
print("\nusing RANDOM parameters", flush=True)
# print("\n########### initial parameters")
# json_print(config.get_params())
# fit
data, phsp, bg, inmc = config.get_all_data()
try:
fit_result = config.fit(batch=65000, method=method)
except KeyboardInterrupt:
config.save_params("break_params.json")
raise
except Exception as e:
print(e)
config.save_params("break_params.json")
raise
json_print(fit_result.params)
fit_result.save_as("final_params.json")
# calculate parameters error
fit_error = config.get_params_error(fit_result, batch=13000)
fit_result.set_error(fit_error)
fit_result.save_as("final_params.json")
pprint(fit_error)
print("\n########## fit results:")
for k, v in config.get_params().items():
print(k, error_print(v, fit_error.get(k, None)))
# plot partial wave distribution
config.plot_partial_wave(fit_result, plot_pull=True)
# calculate fit fractions
phsp_noeff = config.get_phsp_noeff()
fit_frac, err_frac = config.cal_fitfractions({}, phsp_noeff)
print("########## fit fractions")
fit_frac_string = ""
for i in fit_frac:
if isinstance(i, tuple):
name = "{}x{}".format(*i)
else:
name = i
fit_frac_string += "{} {}\n".format(
name, error_print(fit_frac[i], err_frac.get(i, None)))
print(fit_frac_string)
def main():
import argparse
parser = argparse.ArgumentParser(description="calculate fit fractions")
parser.add_argument("-c", "--config", default="config.yml")
parser.add_argument("-i", "--init_params", default="final_params.json")
parser.add_argument("-e", "--error_matrix", default="error_matrix.npy")
results = parser.parse_args()
# load model and parameters and error matrix
config = ConfigLoader(results.config)
config.set_params(results.init_params)
err_matrix = np.load(results.error_matrix)
amp = config.get_amplitude()
phsp = config.get_phsp_noeff() # get_data("phsp")[0]
cal_frac(amp, phsp, err_matrix)