xnn.cnn.models.spherical.wigner_d_table

xnn.cnn.models.spherical.wigner_d_table(b_grid, b_spec)

d^l_{mn}(beta_j) on the grid of bandwidth b_grid for every l < b_spec, as a zero-padded table [j, l, m + b_spec - 1, n + b_spec - 1] of shape (2 b_grid, b_spec, 2 b_spec - 1, 2 b_spec - 1) (float64).

Parameters:

• b_grid (int)

• b_spec (int)

Return type:

Tensor