Module parameter_object

The module for the relaxation curve fitting parameter list object.

Classes

Relax_fit_params
The relaxation curve fitting parameter list singleton.

Functions

float i_scaling(model_info=None)
Determine the scaling factor for the peak intensities.

float i0_upper(incs=None, model_info=None)
Find the upper bound for the I0 parameter.

float iinf_upper(incs=None, model_info=None)
Find the average intensity of the last time point.

Variables

__package__ = 'specific_analyses.relax_fit'

Imports: average, round_to_next_order, Param_list

Function Details

i_scaling(model_info=None)

Determine the scaling factor for the peak intensities.

This is for the scaling of the I0 and Iinf parameters during optimisation. The maximum intensity will be used to scale all values.

Parameters:

• model_info (SpinContainer instance, str) - The spin container and the spin ID string from the _model_loop_spin() specific API method.

Returns: float

The average peak intensity of the first time point.

i0_upper(incs=None, model_info=None)

Find the upper bound for the I0 parameter.

Parameters:

• incs (int) - The number of grid search increments.
• model_info (SpinContainer instance, str) - The spin container and the spin ID string from the _model_loop_spin() specific API method.

Returns: float

The average peak intensity of the first time point.

iinf_upper(incs=None, model_info=None)

Find the average intensity of the last time point.

This is for the grid search upper bound for the Iinf parameter.

Parameters:

• incs (int) - The number of grid search increments.
• model_info (SpinContainer instance, str) - The spin container and the spin ID string from the _model_loop_spin() specific API method.

Returns: float

The average peak intensity of the last time point.