qspec.analyze. King.fit_nd  (  a ,  a_ref ,  x = None ,  axis = 0 ,  optimize_cov = False ,  func = 'linear_nd_fit' ,  show = True ,  ** kwargs  )[source]

Parameters:

andarray | Iterable

An Iterable of the mass numbers of the used isotopes with shape (k, ).

a_refndarray | Iterable

An Iterable of the mass numbers of the used reference isotopes with shape (k, ).

xndarray | Iterable

The x data as an iterable of vectors with uncertainties of shape (k, n, 2), where k is the number of data points and n is the number of dimensions of each point.

axisint

The axis to use for the parametrization. For example, a King plot with the isotope shifts of two transitions ['D1', 'D2'] yields the slope F_D2 / F_D1 if 'axis' == 0.

optimize_covbool

If True, the origin vector of the straight is optimized to yield the smallest covariances.

funcCallable | str

The fitting routine. Must be one of {'linear_nd_fit', 'linear_nd_monte_carlo'}.

showbool

Whether to plot the fit result.

kwargsNone

Additional keyword arguments are passed to 'func' and 'self.plot_nd'.

Returns:

outNone

popt, pcov. The optimized parameters and their covariances. The resulting shapes are (2n, ) and (2n, 2n).