Bose-Einstein condensates in the large-gas-parameter regime
Bose-Einstein condensates of 10 4 8 5 Rb atoms in a cylindrical trap are studied using a recently proposed approach based on a local-density approximation. Since the existence of a Feshbach resonance allows for widely tuning the scattering length of the atoms, values of the peak gas parameter x p k...
| Autores: | , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2001 |
| País: | España |
| Recursos: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:2445/9564 |
| Acesso em linha: | https://hdl.handle.net/2445/9564 |
| Access Level: | acceso abierto |
| Palavra-chave: | Condensació de Bose-Einstein Estadística quàntica Ionització Excitació nuclear Bose-Einstein condensation Quantum statistics Ionization Nuclear excitation |
| Resumo: | Bose-Einstein condensates of 10 4 8 5 Rb atoms in a cylindrical trap are studied using a recently proposed approach based on a local-density approximation. Since the existence of a Feshbach resonance allows for widely tuning the scattering length of the atoms, values of the peak gas parameter x p k of the order of 10 - 2 may be attained and the standard analysis based on Gross-Pitaevskii and/or Thomas-Fermi equations may result in being questionable. Energy functionals derived from the correlated basis functions theory and the low-density expansion for a homogeneous hard-spheres gas are used to estimate corrections to the Gross-Pitaevskii equation. The two functionals give similar results, both showing large differences with respect to the Thomas-Fermi and Gross-Pitaevskii ones. The column densities at z=0 may differ by as much as ∼30% and the half maximum radius by ∼20%. The scattering lengths estimated by fitting the half maximum radius may differ by ∼40% from those given by a Thomas-Fermi-based analysis of the experimental data. |
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