LoadParameters

class LoadParameters(cfg)

Bases: object

Class to extract amplitude parameters from an AmpTools FitResults or ConfigurationInfo object

Parameters (like production coefficients) can then be formatted (complex -> real, imag) for input to other minimization algorithms

flatten_parameters(params={})

Flatten amplitude parameters (complex-> real, imag) skipping imaginary parts of amplitudes fixed to be real. If no arguments are passed, use the uniqueProdPars and uniqueProdIsReal from the last call to load_cfg(). Can also format any dictionary pair into flat format.

Dictionary to List

Parameters:

params (dict) – dictionary of parameters to flatten

Returns:

list of flattened parameters keys (list): list of keys (parameter names) corresponding to parameters names (list): list of parameter names expanding complex parameters into Re[par] and Im[par]

Return type:

parameters (list)

load_cfg(cfg)

Get a map of unique (parameter: value) pairs excluding redundant constrained ones

These include production parameters and amplitude parameters

Parameters:

cfg – If cfg is a FitResults object set values to fitted results. For a ConfigurationInfo object set values to initial values

unflatten_parameters(parameters, keys=[])

Unflatten parameters forming complex values (for production parameters) when requested.

List to Dictionary

Parameters:

• parameters (list) – list of flattened parameters. Arrays work also, ensure you loop over parameters (columns of the mcmc samples)

• keys (list) – list of keys (parameter names) corresponding to parameters. When empty will load from last flatten_parameters call

Returns:

dictionary of parameters

Return type:

paramDict (dict)