barc4ro.wavefront_fitting

Functions

calc_chebyshev(leg_vec, npix[, leg_data, mask])	Constructs wavefront with Chebyshev amplitudes leg_vec.
calc_chebyshev_basis(nmodes, npix[, ...])	Calculates a basis of nmodes Chebyshev modes with normalised dimensions [-1, 1].
calc_legendre(leg_vec, npix[, leg_data, mask])	Constructs wavefront with Legendre amplitudes leg_vec.
calc_legendre_basis(nmodes, npix[, ...])	Calculates a basis of nmodes Legendre modes with normalised dimensions [-1, 1].
calc_wft_pol()
calc_wft_pol_basis()
calc_zern_circ_basis(nmodes, rad[, ...])	Calculate a basis of nmodes Zernike modes with radius rad.
calc_zern_rec_basis(nmodes, npix[, ...])	Calculates a basis of nmodes Zernike modes with normalised dimensions [2*np.sqrt(1-a**2), 2a].
calc_zern_sqr_basis(nmodes, npix[, ...])	Calculates a basis of nmodes Zernike modes with normalised dimensions [2*np.sqrt(1-a**2), 2a].
calc_zernike_circ(zern_vec, rad[, ...])	Constructs wavefront with Zernike amplitudes zern_vec.
calc_zernike_rec(zern_vec, npix[, ...])	Constructs wavefront with Zernike amplitudes zern_vec.
calc_zernike_sqr(zern_vec, npix[, ...])	Constructs wavefront with Zernike amplitudes zern_vec.
chebyshev_1D(Cn, X)	Calculates the 1D Chebyshev polynomials on a X grid ranging from -1 to 1.
chebyshev_2D(j, X, Y)	Calculates the orthonormal rectangular Chebyshev mode j on a normalised rectangular grid X and Y given by:
fit_chebyshev(wavefront[, leg_data, nmodes, ...])	Fit nmodes Chebyshev modes to a wavefront.
fit_legendre(wavefront[, leg_data, nmodes, ...])	Fit nmodes Legendre modes to a wavefront.
fit_wft_pol()
fit_zernike_circ(wavefront[, zern_data, ...])	Fit nmodes Zernike modes to a wavefront.
fit_zernike_rec(wavefront[, zern_data, ...])	Fit nmodes Zernike modes to a wavefront.
fit_zernike_sqr(wavefront[, zern_data, ...])	Fit nmodes Zernike modes to a wavefront.
legendre_1D(Ln, X[, norm])	Calculates the 1D Legendre polynomials on a X grid ranging from -1 to 1.
legendre_2D(j, X, Y[, norm])	Calculates the orthonormal rectangular Legendre mode j on a normalised rectangular grid X and Y given by:
mk_circ_mask(r0[, r1, norm, center, dtype, ...])	Make a rectangular matrix of size (r0, r1) where the value of each element is the Euclidean distance to center.
noll_to_zern(j)	Convert linear Noll index to tuple of Zernike indices.
zern_normalisation([nmodes])	Calculates normalisation vector.
zernike_circ(j, rho, phi[, norm])	Calculates Zernike mode with Noll-index j on a square grid of <size>^2 elements
zernike_circ_mn(m, n, rho, phi[, norm])	Calculates Zernike mode (m,n) on grid rho and phi.
zernike_rad(m, n, rho)	Make radial Zernike polynomial on 1D - coordinate grid rho.
zernike_rec(j, a, rho, phi)	Calculates the orthonormal rectangular Zernike mode j on grid rho and phi.
zernike_sqr(j, rho, phi)	Calculates the orthonormal square Zernike mode j on grid rho and phi.