cases, we use for comparisons only these three phase space variables.

As an alternative measure for the above defined entropy we also used the cumulative filling percentage of the one-nucleon phase space:

$$\eta\left(t\right)=\frac{N\left(t\right)}{N_{total\ cells}} \cdot 100\ \left(\%\right).$$

In the first place, for a given wall frequency of vibration and for a certain multipolarity (here, for $\Omega _{res}=0.145\ c/\rm{fm}$ and $L = 0$), we studied the dependence of the Shannon entropy with the number of bins. A clear tendency for smoothing the entropy curve was found when decreasing the bin. A reduced number of cells ($N_{b}=2^3$) is characterized by an entropy formed from a small number of high-amplitude Heaviside functions. As the number of bins increases (for e.g., here to $12^3$), the entropy gets a more realistic representation, being composed of a superior number of low-amplitude step functions (Fig. \[fig:8\]).

Moreover, the filling percentage $\eta$ of the one-nucleon phase space maps can drastically differ with the size of the bin. Thus, after the system evolved over $400\ \rm{fm}/c$, a phase space with $8$ bins is entirely covered, $64$ bins can be filled in with $0.8594$ probability, a $26.95$ filling percentage for $512$ cells can be found, and we counted only as 