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Elastic overtaking collisions of large-amplitude ion-acoustic solitons

Published online by Cambridge University Press:  17 May 2024

Carel P. Olivier*
Affiliation:
Pure and Applied Analytics, School of Mathematical and Statistical Sciences, North-West University, Mmabatho 2735, South Africa
*
Email address for correspondence: carel.olivier@nwu.ac.za

Abstract

Overtaking collisions of large-amplitude solitons are investigated via fluid simulations for a plasma consisting of cold ions and Boltzmann-distributed electrons. To achieve this, a new fluid simulation code is presented. In addition, a novel approach to construct soliton initial conditions is developed. Using these ideas, initial conditions are combined that allows the simulation of overtaking collisions. It is shown that, in the small-amplitude regime, simulation results agree well with the two-soliton solution obtained from reductive perturbation theory. Interestingly, in the large amplitude regime, both the slow and fast solitons re-emerge after the collision with no significant change, showing that the collisions remain elastic. A comparison between reductive perturbation analysis and the simulations show that the only significant effect of higher order nonlinearities on overtaking collisions is a reduction in the magnitude of the phase shifts of both solitons.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press
Figure 0

Figure 1. Different graphical representations of the time evolution of the electrostatic potential $\phi$ corresponding to the two-soliton solution with $\varepsilon =0.1$. (a) Solution plotted in terms of the original coordinates of $x$ and $t$. (b) and (c) Solutions plotted in the moving frames $\xi _{s}$ and $\xi _{f}$, respectively.

Figure 1

Figure 2. Comparison of solutions for the ion number density obtained from Sagdeev pseudopotential analysis (blue curves) and RPT (red curves): (a) solutions for $M=1.01$; (b) solutions for $M=1.3$.

Figure 2

Figure 3. Construction of the tail of the soliton initial condition. In panel (a), the Sagdeev pseudopotential well is shown with the blue curve, while the red dot indicates the fictitious particle. The red part of the potential near the origin shows the part of the curve where the asymptotic expansion is applied. In panel (b), the blue curve shows the solution obtained from numerical integration only, while the red curve shows the soliton solution obtained by fitting the asymptotic tail.

Figure 3

Figure 4. Simulation results for a soliton simulation with speed $M=1.1$. (a) Full solution in the laboratory coordinates. (b) Solution in the moving frame $\xi =x-Mt$. (c) Absolute error for the solution at $t=100$.

Figure 4

Figure 5. Simulation results for a soliton collision with slow and fast soliton speeds of $M_{s}=1.01$ and $M_{f}=1.02$, respectively. The moving frame references $\xi _{s}=x-M_{s}t$ and $\xi _{f}=x-M_{f}t$ are used in panels (a) and (b), respectively. In panel (c), the solid blue line shows the simulation results at $t=60\,000$, while the associated two-soliton solution from RPT (2.14) is shown with the black dots.

Figure 5

Figure 6. Simulation results for a soliton collision with slow and fast soliton speeds of $M_{s}=1.2$ and $M_{f}=1.4$, respectively. The moving frame references $\xi _{s}=x-M_{s}t$ and $\xi _{f}=x-M_{f}t$ are used in panels (a) and (b), respectively. In panel (c), the solid blue line shows the simulation results at $t=500$, while the associated two-soliton solution from RPT is shown with the black dashed line.

Figure 6

Table 1. Comparison between phase shifts predicted by RPT and obtained from simulations for different speeds.

Figure 7

Figure 7. One iteration of the numerical scheme to progress from $\boldsymbol {n}^{(j)}$, $\boldsymbol {u}^{(j)}$, $\boldsymbol {\phi }^{(j)}$ to $\boldsymbol {n}^{(j+1)}$, $\boldsymbol {u}^{(j+1)}$ and $\boldsymbol {\phi }^{(j+1)}$.