4.8 Article

Coherent Reaction between Molecular and Atomic Bose-Einstein Condensates: Integrable Model

期刊

PHYSICAL REVIEW LETTERS
卷 129, 期 3, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevLett.129.033201

关键词

-

资金

  1. U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division, Condensed Matter Theory Program
  2. U.S. Department of Energy, Office of Science, Basic Energy Sciences [DE-SC0022134]
  3. LANL Center for Nonlinear Studies
  4. NSFC [12105094]
  5. Fundamental Research Funds for the Central Universities from China
  6. U.S. Department of Energy (DOE) [DE-SC0022134] Funding Source: U.S. Department of Energy (DOE)

向作者/读者索取更多资源

This article investigates a model describing the conversion between ultracold bosonic atoms and molecules through a stimulated reaction. By solving the model equations, the study finds a dynamic phase transition in the reaction efficiency dependent on the transition rate. For the process of molecular dissociation, if the atomic modes have a linear energy dispersion, the emerging phase may have a thermalized energy distribution of noninteracting bosons defined by the transition rate.
We solve a model that describes a stimulated conversion between ultracold bosonic atoms and molecules. The reaction is triggered by a linearly time-dependent transition throughout the Feshbach resonance. Our solution predicts a dependence, with a dynamic phase transition, of the reaction efficiency on the transition rate for both atoms-to-molecule pairing and molecular dissociation processes. We find that for the latter process with a linear energy dispersion of atomic modes, the emerging phase can have a thermalized energy distribution of noninteracting bosons with the temperature defined by the rate of the transition. This provides a simple interpretation of the phase transition in terms of the creation of equilibrium Bose-Einstein condensate.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据