f4enix.output.cdgs.kernels.DistanceKernel#

class f4enix.output.cdgs.kernels.DistanceKernel(radius: float | None = None, n_voxels: int | None = None)#

Bases: SphereKernel

Methods

__init__([radius, n_voxels])

get_neighbours(source_coords, dest_coords[, ...])

Given a KDTree of the source coordinates and
get_neighbours(source_coords: ndarray, dest_coords: ndarray, voxel_size: float | None = None) → ndarray#

Given a KDTree of the source coordinates and

Parameters:

  • source_coords (np.ndarray) – cloud point coordinates of the source activity

  • dest_coords (np.ndarray) – coordinates of the destination points

Returns:

matrix of indices of the neighbors for each source coordinate in the cloud point

Return type:

np.ndarray