2021/02/28 by Aaron Merlin Müller, Miklós Lajkó, Florian Schreck +2 · 4 citations
Earth and Planetary Sciences · Physics and Astronomy · #Adiabatic process #Algorithm #Atomic and Subatomic Physics Research #Atomic physics #Cold Atom Physics and Bose-Einstein Condensates #Computer science #Entropy (arrow of time) #High-pressure geophysics and materials #Machine learning #Materials science #Physics #Thermodynamics #Trapping #cond-mat.quant-gas #cond-mat.str-el #quant-ph
paper · pdf · doi:10.1103/physreva.104.013304
published in Physical Review A 104(1) (American Physical Society) · 8+3 pages, 4+1 figures
openalex created_date 2021/03/01 · arxiv created 2021/06/12 · openalex publication_date 2021/07/06 · arxiv updated 2021/07/14 · openalex updated_date 2026/08/05
We investigate a species selective cooling process of a trapped SU(N) Fermi gas using entropy redistribution during adiabatic loading of an optical lattice. Using high-temperature expansion of the Hubbard model, we show that when a subset NA<N of the single-atom levels experiences a stronger trapping potential in a certain region of space, the dimple, it leads to improvement in cooling as compared to an SU(NA) Fermi gas only. We show that optimal performance is achieved when all atomic levels experience the same potential outside the dimple and we quantify the cooling for various NA by evaluating the dependence of the final entropy densities and temperatures as functions of the initial entropy. Furthermore, considering 87Sr and 173Yb for specificity, we provide a quantitative discussion of how the state selective trapping can be achieved with readily available experimental techniques.