Revealing buried information: Statistical processing techniques for ultracold gas image analysis
Atomic Physics
2010-05-07 v3 Quantum Gases
Abstract
The techniques of principal and independent component analysis are applied to images of ultracold atoms. As an illustrative example, we present the use of these model-independent methods to rapidly determine the differential phase of a BEC interferometer from large sets of images of interference patterns. These techniques have been useful in the calibration of the experiment and in the investigation of phase randomization. The details of the algorithms are provided.
Cite
@article{arxiv.0905.1979,
title = {Revealing buried information: Statistical processing techniques for ultracold gas image analysis},
author = {Stephen R. Segal and Quentin Diot and Eric A. Cornell and Alex A. Zozulya and Dana Z. Anderson},
journal= {arXiv preprint arXiv:0905.1979},
year = {2010}
}
Comments
v2: Many changes made to answer reviewer comments and improve clarity. 29 pages, 9 figures v3: Small change to emphasize role of models in result interpretation. 29 pages, 9 figures