gauss1

mdhelper.fit.gaussian.gauss1(x: ndarray, a1: float, b1: float, c1: float) ndarray[source]

Convenience function for the gauss1 model from MATLAB.

\[y=a_1\exp{\left[-\left(\frac{x-b_1}{c_1}\right)^2\right]}\]
Parameters:
xnumpy.ndarray

One-dimensional array containing \(x\)-values.

a1float

Amplitude \(a_1\) of the first Gaussian term.

b1float

Centroid \(b_1\) of the first Gaussian term.

c1float

Peak width \(c_1\) of the first Gaussian term.

Returns:
fitnumpy.ndarray

Fitted \(y\)-values.