Imaging the collective excitations of an ultracold gas using statistical correlations
Quantum Physics
2015-01-08 v2 Quantum Gases
Abstract
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 able to identify the collective modes which are excited, determine their population, image their eigenfunction, and measure their frequency. Our method allows to discriminate the relevant modes from other noise components and is robust with respect to the data sampling procedure. It can be extended to other dynamical systems including cavity polariton quantum gases or trapped ions.
Keywords
Cite
@article{arxiv.1410.1675,
title = {Imaging the collective excitations of an ultracold gas using statistical correlations},
author = {Romain Dubessy and Camilla De Rossi and Thomas Badr and Laurent Longchambon and Hélène Perrin},
journal= {arXiv preprint arXiv:1410.1675},
year = {2015}
}
Comments
See also the supplementary material and the video abstract