atompy.fit_yl0_polynomial#

atompy.fit_yl0_polynomial(thetas, intensity, degree, odd_terms=True)[source]#

Fit data to a polynomial of \(\sum_l Y_l^0(\theta, 0)\)

Parameters:

thetasarray_like: Polar angles of data in rad. \(0 \le \theta \le \pi\).
intensityarray_like: Corresponding y-data.
degreeint: Maximum degree of the polynomial.
odd_termsbool, default True: If False, restrict to even l only, ensuring forward, backward symmetry.

Returns:

coeffsndarray: Coefficients of the polynomial, starting with the lowest order.

See also

add_polar_guideline
eval_yl0_polynomial

Notes

Fit uses scipy.special.sph_harm.