Data corresponding to the paper "Traveling Bubbles and Vortex Pairs within Symmetric 2D Quantum Droplets"

Datasets generated for the Physical Review E article with title: "Traveling Bubbles and Vortex Pairs within Symmetric 2D Quantum Droplets" by Paredes, Guerra-Carmenate, Salgueiro, Tommasini and Michinel. In particular, we provide the data needed to generate the figures in the publication, which illustrate the numerical results found during this work.

We also include python code in the file "plot_from_data_for_repository.py"  that generates a version of the figures of the paper from .pt data sets. Data can be read and plots can be produced with a simple modification of the python code.

Figure 1: Data are in fig1.csv    

The csv file has four columns separated by comas. The four columns correspond to values of r (first column) and the function psi(r) for the three cases depicted in the figure (columns 2-4).

Figures 2 and 4: Data are in   data_figs_2_and_4.pt

This is a data file generated with the torch module of python. It includes eight torch tensors for the spatial grid "x" and "y" and for the complex values of psi for the six eigenstates depicted in figures 2 and 4 ("psia", "psib", "psic", "psid", "psie", "psif"). Notice that figure 2 is the square of the modulus and figure 4 is the argument, both are obtained from the same data sets.

Figure 3: Data are in fig3.csv    

The csv file has three columns separated by comas. The three columns correspond to values of momentum p (first column), energy E (second column) and velocity U (third column).

Figure 5: Data are in fig5.csv    

The csv file has three columns separated by comas. The three columns correspond to values of momentum p (first column), the minimum value of |psi|^2 (second column) and the value of |psi|^2 at the center (third column).

Figure 6: Data are in   data_fig_6.pt

This is a data file generated with the torch module of python. It includes six torch tensors for the spatial grid "x" and "y" and for the complex values of psi for the four instants of time depicted in figure 6  ("psia", "psib", "psic", "psid").

Figure 7: Data are in   data_fig_7.pt

This is a data file generated with the torch module of python. It includes six torch tensors for the spatial grid "x" and "y" and for the complex values of psi for the four instants of time depicted in figure 7  ("psia", "psib", "psic", "psid").

Figures 8 and 10: Data are in   data_figs_8_and_10.pt

This is a data file generated with the torch module of python. It includes eight torch tensors for the spatial grid "x" and "y" and for the complex values of psi for the six eigenstates depicted in figures 8 and 10 ("psia", "psib", "psic", "psid", "psie", "psif"). Notice that figure 8 is the square of the modulus and figure 10 is the argument, both are obtained from the same data sets.

Figure 9: Data are in fig9.csv    

The csv file has two columns separated by comas. The two columns correspond to values of momentum p (first column) and energy (second column).

Figure 11: Data are in   data_fig_11.pt

This is a data file generated with the torch module of python. It includes ten torch tensors for the spatial grid "x" and "y" and for the complex values of psi for the two cases, four instants of time for each case, depicted in figure 11  ("psia", "psib", "psic", "psid", "psie", "psif", "psig", "psih").

Figure 12: Data are in   data_fig_12.pt

This is a data file generated with the torch module of python. It includes eight torch tensors for the spatial grid "x" and "y" and for the complex values of psi for the six instants of time depicted in figure 12  ("psia", "psib", "psic", "psid", "psie", "psif").

Figure 13: Data are in   data_fig_13.pt

This is a data file generated with the torch module of python. It includes ten torch tensors for the spatial grid "x" and "y" and for the complex values of psi for the eight instants of time depicted in figure 13  ("psia", "psib", "psic", "psid", "psie", "psif", "psig", "psih").