disk_harm#
- ktch.harmonic.disk_harm(n_max: int, coef: list[npt.ArrayLike], r_range: npt.NDArray[np.float64] | None = None, theta_range: npt.NDArray[np.float64] | None = None) tuple[npt.NDArray[np.float64], ...][source]#
Reconstruct coordinates from disk harmonic coefficients.
The number of output arrays is determined by the trailing dimension of the coefficient arrays (2 for planar, 3 for surface mappings).
- Parameters:
- n_maxint
Maximum degree of disk harmonics to use. Can be less than the degree used for estimation (truncated reconstruction).
- coeflist of array-like
Disk harmonic coefficients.
coef[n]has shape(2*n+1, n_dim)andcoef[n][n+m]holds the coefficients for degreenand orderm.- r_rangearray-like of shape (n_r,), optional
Radial coordinates for the reconstruction grid. Defaults to
np.linspace(0, 1, 100).- theta_rangearray-like of shape (n_theta,), optional
Angular coordinates for the reconstruction grid. Defaults to
np.linspace(0, 2*pi, 180).
- Returns:
- tuple of ndarray of shape (n_theta, n_r)
Reconstructed coordinates. Length equals
n_dim(e.g.,(x, y)for 2D or(x, y, z)for 3D).