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