20 citations · 36 across the 3 of their papers we have counts for
3 papers
cond-mat.quant-gas2020
Heuristic machinery for thermodynamic studies of SU(N) fermions with neural networks
Entong Zhao, Jeongwon Lee, Chengdong He +4
The power of machine learning (ML) provides the possibility of analyzing experimental measurements with an unprecedented sensitivity. However, it still remains challenging to probe…
cond-mat.quant-gas2020★ 16 cited
Effective statistical fringe removal algorithm for high-sensitivity imaging of ultracold atoms
Bo Song, Chengdong He, Zejian Ren +3
High-sensitivity imaging of ultracold atoms is often challenging when interference patterns are imprinted on the imaging light. Such image noises result in low signal-to-noise rati…
cond-mat.quant-gas2019★ 20 cited
Collective excitations in two-dimensional SU() Fermi gases with tunable spin
Chengdong He, Zejian Ren, Bo Song +5
We measure collective excitations of a harmonically trapped two-dimensional (2D) SU() Fermi gas of Yb confined to a stack of layers formed by a one-dimensional optical l…