Module parameter_object

The parameter list object base class for the specific analyses.

This provides a uniform interface for defining and handling parameters - either optimised or fixed - of the specific analyses.

Classes

Param_list
A special object for handling global and spin parameters.

Functions

float da_lower(incs=None, model_info=None)
Determine the lower grid bound for the Da diffusion parameter.

float da_upper(incs=None, model_info=None)
Determine the upper grid bound for the Da diffusion parameter.

Variables

uf_tables = Uf_tables()

__package__ = 'specific_analyses'

Imports: pi, search, FunctionType, MethodType, RelaxError, Uf_tables, Desc_container

Function Details

da_lower(incs=None, model_info=None)

Determine the lower grid bound for the Da diffusion parameter.

Parameters:

• incs (int) - The number of grid search increments.
• model_info (unknown) - The model information from model_loop().

Returns: float

The lower grid search bound for the Da diffusion parameter.

da_upper(incs=None, model_info=None)

Determine the upper grid bound for the Da diffusion parameter.

Parameters:

• incs (int) - The number of grid search increments.
• model_info (unknown) - The model information from model_loop().

Returns: float

The upper grid search bound for the Da diffusion parameter.