xmf.fit_convex_ellipse_slope

xmf.fit_convex_ellipse_slope(x1d: ndarray, sx1d: ndarray, input_params_dict: dict, opt_or_tol_dict: dict)[source]

Fit the convex ellipse parameters from a measured slope profile.

Parameters:

  • x1d (numpy.ndarray) – The x coordinate in the suggested unit of [m]

  • sx1d (numpy.ndarray) – The measured slope in the suggested unit of [m/m]

  • opt_params_dict (dict) – The optimized parameters in dictionary

  • opt_or_tol_dict (dict) – The structure to set whether optimization flag or tolerance for p, q, theta, x_i, y_i, z_i, alpha, beta, gamma.

  • init_params (numpy.ndarray) – The used initial parameters.

Returns:

  • z1d_residual (numpy.ndarray) – The height residual after the best fit.

  • sx1d_fit (numpy.ndarray) – The fitted slope

  • opt_params_dict (dict) – The optimized parameters in dictionary

  • opt_params_ci_dict (dict) – The confidence intervals of the optimized parameters in dictionary