config_loader

class ConfigLoader(file_name, vm=None, share_dict={})

Bases: object

class for loading config.yml

add_constraints(amp)

add_decay_constraints(amp, dic=None)

add_fix_var_constraints(amp, dic=None)

add_particle_constraints(amp, dic=None)

add_var_equal_constraints(amp, dic=None)

add_var_range_constraints(amp, dic=None)

cal_bins_numbers(adapter, data, phsp, read_data, bg=None, bg_weight=None)

cal_chi2(read_data=None, bins=[[2, 2], [2, 2], [2, 2]], mass=['R_BD', 'R_CD'])

cal_fitfractions(params={}, mcdata=None, res=None, exclude_res=[], batch=25000)

cal_signal_yields(params={}, mcdata=None, batch=25000)

fit(data=None, phsp=None, bg=None, inmc=None, batch=65000, method='BFGS', check_grad=False, improve=False, reweight=False, maxiter=None)

fitNtimes(N, *args, **kwargs)

get_all_data()

get_amplitude(vm=None, name='')

get_chain(idx)

get_chain_property(idx, display=True)

Get chain name and curve style in plot

get_dat_order(standard=False)

get_data(idx)

get_data_file(idx)

get_data_index(sub, name)

get_data_mode()

get_decay(full=True)

get_fcn(all_data=None, batch=65000, vm=None, name='')

get_ndf()

get_params(trainable_only=False)

get_params_error(params=None, data=None, phsp=None, bg=None, batch=10000, using_cached=False)

get_phsp_noeff()

get_phsp_plot()

likelihood_profile(var, var_min, var_max, N=100)

load_cached_data(file_name=None)

static load_config(file_name, share_dict={})

plot_partial_wave(params=None, data=None, phsp=None, bg=None, prefix='figure/', res=None, save_root=False, **kwargs)

register_extra_constrains(name, f=None)

add extra_constrains

reinit_params()

static reweight_init_value(amp, phsp, ns=None)

reset decay chain total and make the integration to be ns

save_cached_data(data, file_name=None)

save_params(file_name)

set_params(params, neglect_params=None)

class PlotParams(plot_config, decay_struct)

Bases: dict

get_angle_vars()

get_data_index(sub, name)

get_mass_vars()

get_params(params=None)

export_legend(ax, filename='legend.pdf', ncol=1)

hist_error(data, bins=50, xrange=None, weights=1.0, kind='poisson')

hist_line(data, weights, bins, xrange=None, inter=1, kind='UnivariateSpline')

interpolate data from hostgram into a line

hist_line_step(data, weights, bins, xrange=None, inter=1, kind='quadratic')

validate_file_name(s)