Imaging the collective excitations of an ultracold gas using statistical correlations

Imaging the collective excitations of an ultracold gas using statistical correlations

Advanced data analysis techniques have proved to be crucial for extracting information from noisy images. Here we show that principal component analysis can be successfully applied to ultracold gases to unveil their collective excitations. By analyzing the correlations in a series of images we are a...

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Bibliographic Details
Main Authors: Romain Dubessy, Camilla De Rossi, Thomas Badr, Laurent Longchambon, Hélène Perrin
Format: Article
Language:English
Published: IOP Publishing 2014-01-01
Series:New Journal of Physics
Subjects:
statistical data analysis
quantum gases
collective excitations
image analysis
principal component
Bose–Einstein condensate
Online Access:https://doi.org/10.1088/1367-2630/16/12/122001

Internet

https://doi.org/10.1088/1367-2630/16/12/122001

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