Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of the Optical Society of Korea
  • Vol. 18,
  • Issue 6,
  • pp. 633-638
  • (2014)

Dynamics of a Bose-Einstein Condensate on Changing Speeds of an Atomchip Trap Potential

Open Access Open Access

Abstract

We report experimental behaviors of condensed <TEX>$^{87}Rb$</TEX> atoms responding to changes in the trap potential of the atomchip. The two-types of adiabatic and non-adiabatic overall changes were implemented by changing the ramp-down speed of the chip-wire current, which can dominantly modify the one-axis magnetic field gradient. Under the adiabatic process, a pure condensate stayed in the initial spin state and collectively oscillated with both monopole and dipole modes, while an atomic cloud above the critical temperature exhibited sound waves in a dense ultracold gas. On the other hand, Bose-Einstein condensate atoms with non-adiabatic perturbation were split into spatially different positions by spin states through spin-flip. We investigated the split ratio among spin states depending on final evaporation frequency. Potential changes, of course, cause collective oscillations regardless of the changing process.

© 2014 Optical Society of Korea

PDF Article
More Like This
Experimental studies of Bose-Einstein condensation

Dallin S. Durfee and Wolfgang Ketterle
Opt. Express 2(8) 299-313 (1998)

Recurrence for motion of solitons of the Bose–Einstein condensate in a dynamic trap

Nikolay N. Rosanov and Nina V. Vysotina
J. Opt. Soc. Am. B 32(5) B20-B24 (2015)

Transport of Bose-Einstein condensate in QUIC trap and separation of trapping spin states

Dezhi Xiong, Pengjun Wang, Zhengkun Fu, and Jing Zhang
Opt. Express 18(2) 1649-1656 (2010)

Cited By

Optica participates in Crossref's Cited-By Linking service. Citing articles from Optica Publishing Group journals and other participating publishers are listed here.


Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.