zernikeFit

lsst.ts.wep.utils.zernikeFit(u: ndarray, v: ndarray, z: ndarray, jmin: int = 4, jmax: int = 22, obscuration: float = 0.612, mask: Optional[ndarray] = None) → ndarray

Fit Zernike polynomials to the surface.

Parameters

unp.ndarray

The x normalized pupil coordinate(s).

vnp.ndarray

The y normalized pupil coordinate(s). Must be same shape as u.

znp.ndarray

The wavefront surface evaluated at the u, v points.

jminint, optional

The minimum Noll index, inclusive. Must be >= 0. (the default is 4)

jmaxint

The maximum Noll index to fit, inclusive. Must be >= jmin. (the default is 22)

obscurationfloat, optional

The fractional obscuration. (the default is 0.612, corresponding to the Simonyi Survey Telescope.)

masknp.ndarray, optional

A mask for the surface. The Zernikes are only fit to the unmasked points. (the default is None)

Returns

np.ndarray

The best fit Zernike coefficients in the same units as z.

Raises

ValueError

If jmin is negative or jmax is less than jmin