Cloud parameter estimation for interacting BEC after time-of-flight
Rasmus Malthe Fiil Andersen, Stine Frederiksen, Laurits Stockholm, Ilja Zebergs, Mick Kristensen, Carrie Weidner, Jan Joachim Arlt
TL;DR
The paper addresses how repulsive mean-field interactions between a Bose-Einstein condensate and its thermal component distort time-of-flight expansion profiles, biasing temperature and atom-number estimates if ignored. It develops a numerical ballistic-expansion model that includes the mean-field potentials and computes the evolving thermal density, then contrasts fitting with a Bose-enhanced distribution to fitting with the simulated distribution. The authors quantify systematic errors across trap geometries, temperatures, and TOF, and provide a phenomenological explanation for the observed patterns—chiefly that the BEC shifts the central density and enlarges the usable fit region, trading accuracy in $N_{th}$ for accuracy in $T$. They demonstrate that simulation-based fits yield better agreement with the semi-ideal model Naraschewski1998 and can be used as a fitting model for experimental data, albeit at higher computational cost.
Abstract
Experiments on Bose-Einstein condensates at finite temperature typically extract the system parameters, such as temperature, atom number, and condensed fraction from time-of-flight images taken after a free expansion time. This paper systematically examines the effect of repulsive interactions between the condensed and thermal atoms in partially condensed clouds on the expansion profile of the thermal cloud. An analytical expression for the expansion can be obtained only if the interactions between the Bose-Einstein condensate and thermal atoms are neglected, resulting in a Bose-enhanced distribution for the thermal component. Here, the deformation of the cloud due to interactions and the effects on estimated parameters are investigated by simulating the expansion using a ballistic approximation. By fitting the simulated expansion profiles with a Bose-enhanced distribution, the errors of using such a fit are estimated, and the results are explained phenomenologically. The simulation was also used as a fitting function for experimental data, showing better agreement of the extracted condensed fraction with the semi-ideal model than results from a Bose-enhanced fit.
