DeltaDiracModel

class qef.models.deltadirac.DeltaDiracModel(independent_vars=['x'], prefix='', missing=None, name=None, **kwargs)

Bases: lmfit.model.Model

A function that is zero everywhere except for the x-value closest to the center parameter.

At value-closest-to-center, the model evaluates to the amplitude parameter divided by the x-spacing. This last division is necessary to preserve normalization with integrating the function over the X-axis

Fitting parameters:

• integrated intensity amplitude \(A\)
• position of the peak center \(E_0\)

guess(y, x=None, **kwargs)

Guess starting values for the parameters of a model.

Parameters:

• y (ndarray) – Intensities
• x (ndarray) – energy values
• kwargs (dict) – additional optional arguments, passed to model function.

Returns:

parameters with guessed values

Return type:

Parameters

qef.models.deltadirac.delta_dirac(x, amplitude=1.0, center=0.0)

function is zero except for the x-value closest to center.

At value-closest-to-center, the function evaluates to the amplitude divided by the x-spacing.

Parameters:

• x :class:`~numpy:numpy.ndarray` – domain of the function, energy
• amplitude (float) – Integrated intensity of the curve
• center (float) – position of the peak