Dynamical formation of quantum droplets in a 39K mixture

Anno: 2020

Autori: Ferioli G., Semeghini G., Terradas-Briansu S., Masi L., Fattori M., Modugno M.

Affiliazione autori: Univ Firenze, LENS, I-50019 Sesto Fiorentino, Italy; Univ Firenze, Dipartimento Fis & Astron, I-50019 Sesto Fiorentino, Italy; CNR, Ist Nazl Ott, I-50019 Sesto Fiorentino, Italy; Harvard Univ, Dept Phys, Cambridge, MA 02138 USA; Univ Zaragoza, Inst Ciencia Mat Aragon, CSIC, Zaragoza 50009, Spain; Univ Zaragoza, Dept Fis Mat Condensada, CSIC, Zaragoza 50009, Spain; Univ Basque Country, Dept Fis Teor & Hist Ciencia, UPV EHU, Bilbao 48080, Spain; Basque Fdn Sci, Ikerbasque, Bilbao 48013, Spain.

Abstract: We report on the dynamical formation of self-bound quantum droplets in attractive mixtures of K-39 atoms. Considering the experimental observations of Semeghini et al. [Phys. Rev. Lett. 120, 235301 (2018)], we perform numerical simulations to understand the relevant processes involved in the formation of a metastable droplet from an out-of-equilibrium mixture. We first analyze the so-called self-evaporation mechanism, where the droplet dissipates energy by releasing atoms, and then we consider the effects of losses due to three-body recombinations and to the balancing of populations in the mixture. We discuss the importance of these three mechanisms in the observed droplet dynamics and their implications for future experiments.

Giornale/Rivista: PHYSICAL REVIEW RESEARCH

Volume: 2 (1)      Da Pagina: 13269-1  A: 13269-8

Maggiori informazioni: We acknowledge insightful discussions with D. Petrov and E. Sherman. This work was supported by the Spanish Ministry of Science, Innovation and Universities and the European Regional Development Fund FEDER through Grant No. PGC2018-101355-B-I00 (MCIU/AEI/FEDER, UE), by the Basque Government through Grant No. IT986-16, by the EC-H2020 Grant QUIC No. 641122, and by the project TAIOL of QuantERA ERA-NET Cofund in Quantum Technologies (Grant Agreement No. 731473) implemented within the European Union’s Horizon 2020 Programme.
Parole chiavi: Liquid
DOI: 10.1103/PhysRevResearch.2.013269

Citazioni: 42
dati da “WEB OF SCIENCE” (of Thomson Reuters) aggiornati al: 2025-06-29
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