“…The example also includes the extraction of a noise model, by means of a well-known noise-temperature approach. Both the small-signal and noise models agree well with the experimental data.Also these methods rely on a fundamental hypothesis, namely, the validity of a certain set of scaling rules; however, this assumption has been consistently confirmed in practice and is not really a matter of discussion (although slightly different scaling rule sets and even SSEC topologies have been proposed over time) [7,[11][12][13][14][15].The direct-extraction approach and the fit/optimization-based approach are not totally separate; however, in fact, they often present some points of contact. The most important one, probably, is the very fact that optimization typically involves selecting an initial guess of the solution, which in turn calls for the application of a direct-extraction method to start with: this is the case, for instance, for the algorithm described in [11], as well as that presented later in this contribution.…”