Rogue waves collision under incident momentum modulation in two-component Bose-Einstein condensates

TL;DR

This study investigates how incident momentum modulation influences rogue wave collisions in two-component Bose-Einstein condensates, revealing new methods to generate and control high-order rogue waves through interaction parameters and machine learning analysis.

Contribution

It introduces a novel approach to generate second-order rogue waves by incident momentum modulation and employs machine learning to analyze parameter relationships in two-component BECs.

Findings

Incident momentum promotes second-order rogue wave generation.

Range of incident momentum depends on interspecies interactions.

Machine learning reveals parameter correlations affecting rogue wave formation.

Abstract

The collision dynamics of two first-order rogue waves (RWs) with opposite incident momentum in two-component Bose-Einstein condensates (BECs) is studied by solving the two-component one-dimensional Gross-Pitaevskii (GP) equation. It is demonstrated that the introduction of appropriate incident momentum successfully promotes the generation of second-order RWs in the case of relatively weaker interspecies interactions compared to intraspecific interactions. The range of incident momentum that can facilitate the generation of second-order RWs under different interspecies interaction strengths is determined, and machine learning is employed to find and analyze relationships among the interspecies interaction, the incident momentum, and the offset that can lead to the generation of second-order RWs. It shows that any two parameters above exhibit a positive or negative correlation when the third parameter is fixed. These findings provide additional possibilities for generating and controlling high-order RWs.