ICA method for identifying collective modes

ORAL

Abstract

The independent component analysis method is applied to images of ultra-cold atoms. We present this model-independent method to identify the collective modes which are mixed together in a Bese-Einstein condensate from large sets of images. Machine learning method can extract features very well and ICA method can separate these mixed modes very well.

Presenters

  • Yadong Wu

    Tsinghua University

Authors

  • Yadong Wu

    Tsinghua University

  • Hui Zhai

    Tsinghua University