A numerical study of vortex nucleation in 2D rotating Bose-Einstein condensates - INRIA - Institut National de Recherche en Informatique et en Automatique
Article Dans Une Revue Mathematics and Computers in Simulation Année : 2025

A numerical study of vortex nucleation in 2D rotating Bose-Einstein condensates

Résumé

This article introduces a new numerical method for the minimization under constraints of a discrete energy modeling multicomponents rotating Bose-Einstein condensates in the regime of strong confinement and with rotation. Moreover, we consider both segregation and coexistence regimes between the components. The method includes a discretization of a continuous energy in space dimension 2 and a gradient algorithm with adaptive time step and projection for the minimization. It is well known that, depending on the regime, the minimizers may display different structures, sometimes with vorticity (from singly quantized vortices, to vortex sheets and giant holes). In order to study numerically the structures of the minimizers, we introduce in this paper a numerical algorithm for the computation of the indices of the vortices, as well as an algorithm for the computation of the indices of vortex sheets. Several computations are carried out, to illustrate the efficiency of the method, to cover different physical cases, to validate recent theoretical results as well as to support conjectures. Moreover, we compare this method with an alternative method from the literature.
Fichier principal
Vignette du fichier
main.pdf (7.04 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03818063 , version 1 (03-11-2022)
hal-03818063 , version 2 (11-04-2024)

Identifiants

Citer

Guillaume Dujardin, Ingrid Lacroix-Violet, Anthony Nahas. A numerical study of vortex nucleation in 2D rotating Bose-Einstein condensates. Mathematics and Computers in Simulation, 2025, 229, pp.409-434. ⟨https://doi.org/10.1016/j.matcom.2024.09.029⟩. ⟨hal-03818063v2⟩
121 Consultations
96 Téléchargements

Altmetric

Partager

More