Package specific_analyses :: Module parameter_object
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Module parameter_object

source code

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 [hide private]
  Param_list
A special object for handling global and spin parameters.
Functions [hide private]
float
da_lower(incs=None, model_info=None)
Determine the lower grid bound for the Da diffusion parameter.
source code
float
da_upper(incs=None, model_info=None)
Determine the upper grid bound for the Da diffusion parameter.
source code
Variables [hide private]
  uf_tables = Uf_tables()
  __package__ = 'specific_analyses'

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


Function Details [hide private]

da_lower(incs=None, model_info=None)

source code 

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)

source code 

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.