skrf.network.Network.max_gain

property Network.max_gain: ndarray

Maximum available power gain for K > 1 and maximum stable power gain for K <= 1 (in linear).

\[ \begin{align}\begin{aligned}G_{max}|_{K>1} = \frac{|S_{21}|}{|S_{12}|} \times \frac{1}{K + \sqrt{K^2 - 1}}\\G_{max}|_{K<=1} = \frac{|S_{21}|}{|S_{12}|}\end{aligned}\end{align} \]
Returns:

gmax

Return type:

numpy.ndarray of shape f

Note

The maximum available power gain is defined for a unconditionally stable network (K > 1). For K <= 1, this property returns the maximum stable gain instead. This behavior is similar to the max_gain() function in Keysight’s Advanced Design System (but differs in decibel or linear) [3].

References

See also

max_stable_gain

Maximum stable power gain

unilateral_gain

Mason’s unilateral power gain

stability

Stability factor