fit_pc#

Return a new detector with interpolated projection centers (PCs) for all points in a map by fitting a plane to pc [Winkelmann et al., 2020].

Parameters:

pc_indices: 2D coordinates (row, column) of each pc in map_coordinates. Must be a flattened array of shape (2,) + navigation_shape.
map_indices: 2D coordinates (row, column) of all map points in a regular grid to interpolate PCs for. Must be a flattened array of shape (2,) + map_shape.
transformation: Which transformation function to use when fitting PCs, either "projective" (default) or "affine". Both transformations perserve co-planarity of map points, while the projective transformation allows parallel lines in the map point grid to become non-parallel within the sample plane.
is_outlier: Boolean array with True for PCs to not include in the fit. If not given, all PCs are used. Must be of navigation_shape.
plot: Whether to plot the experimental and estimated PCs (default is True).
return_figure: Whether to return the figure if plot=True (default is False).
figure_kwargs: Keyword arguments passed to matplotlib.pyplot.Figure() if plot=True.

Returns:

new_detector: New detector with as many interpolated PCs as indices given in map_indices and an estimated sample tilt. The detector tilt is assumed to be constant.
fig: Figure of experimental and estimated PCs, returned if plot=True and return_figure=True.

Raises:

ValueError: If navigation_size is 1 or if the pc_indices or map_indices arrays have the incorrect shape.

Examples using `EBSDDetector.fit_pc`#