Package specific_analyses :: Package relax_fit :: Module parameter_object
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Module parameter_object

source code

The module for the relaxation curve fitting parameter list object.

Classes [hide private]
Relax_fit_params
The relaxation curve fitting parameter list singleton.
Functions [hide private]
float
i_scaling(model_info=None)
Determine the scaling factor for the peak intensities.
source code
float
i0_upper(incs=None, model_info=None)
Find the upper bound for the I0 parameter.
source code
float
iinf_upper(incs=None, model_info=None)
Find the average intensity of the last time point.
source code
Variables [hide private]
  __package__ = 'specific_analyses.relax_fit'

Imports: average, round_to_next_order, Param_list


Function Details [hide private]

i_scaling(model_info=None)

source code 

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)

source code 

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)

source code 

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.