Source code for autoarray.inversion.pixelization.mesh.delaunay

from autoarray.structures.mesh.delaunay_2d import Mesh2DDelaunay
from autoarray.inversion.pixelization.mesh.triangulation import Triangulation

from autoarray.numba_util import profile_func

[docs]class Delaunay(Triangulation): def __init__(self): """ An irregular mesh of Delaunay triangle pixels, which using linear barycentric interpolation are paired with a 2D grid of (y,x) coordinates. For a full description of how a mesh is paired with another grid, see the :meth:`Pixelization API documentation <autoarray.inversion.pixelization.pixelization.Pixelization>`. The Delaunay mesh represents pixels as an irregular 2D grid of Delaunay triangles. - ``image_plane_data_grid``: The observed data grid in the image-plane (which is paired with the mesh in the source-plane). - ``image_plane_mesh_grid``: The (y,x) mesh coordinates in the image-plane (which are the corners of Delaunay triangles in the source-plane). - ``source_plane_data_grid``: The observed data grid mapped to the source-plane after gravitational lensing. - ``source_plane_mesh_grid``: The corner of each Delaunay triangle in the source-plane (the ``image_plane_mesh_grid`` maps to this after gravitational lensing). Each (y,x) coordinate in the ``source_plane_data_grid`` is paired with the three nearest Delaunay triangle corners, using a weighted interpolation scheme. Coordinates on the ``source_plane_data_grid`` are therefore given higher weights when paired with Delaunay triangle corners they are a closer distance to. """ super().__init__() @property def uses_interpolation(self): return False
[docs] @profile_func def mesh_grid_from( self, source_plane_data_grid=None, source_plane_mesh_grid=None, ): """ Return the Delaunay ``source_plane_mesh_grid`` as a ``Mesh2DDelaunay`` object, which provides additional functionality for performing operations that exploit the geometry of a Delaunay mesh. Parameters ---------- source_plane_data_grid A 2D grid of (y,x) coordinates associated with the unmasked 2D data after it has been transformed to the ``source`` reference frame. source_plane_mesh_grid The centres of every Delaunay pixel in the ``source`` frame, which are initially derived by computing a sparse set of (y,x) coordinates computed from the unmasked data in the image-plane and applying a transformation to this. settings Settings controlling the pixelization for example if a border is used to relocate its exterior coordinates. """ return Mesh2DDelaunay( values=source_plane_mesh_grid, uses_interpolation=self.uses_interpolation )