parabola

This module’s scope is to model and fit a parabolic dsitribution to data.

class tuna.models.parabola.parabolic_fitter(noise, unwrapped, center)

This class’s responsibility is to generate parabolic models and the fitting of models to data.

It inherits from the threading.Thread class, and it auto-starts its thread execution. Clients are expected to use its .join ( ) method before using its results.

Its constructor signature is:

Parameters:

• center : tuple of 2 floats

  Containing the expected center of the interferograph.

• noise : can

  Contains the noise corresponding to the data.

• unwrapped : can

  Contains the data to be fitted.

create_model_map_by_Polynomial2D()

This method’s goal is to generate a numpy array with the current parameters.

get_center()

This method’s goal is to access the coordinates for the minimum value on each axis, which should correspond to the center.

Returns:

• unnamed variable : tuple of 2 integers

  Containing the column and row (respectively) of the center.

run()

This method’s goal is to fit a parabolic model to a given input.