4 papers
Q-GAIN: A Python Package for Machine Learning and Physically Informed Analysis Applications
M. Doris, S. Guo, S. M. Koh +5
Here we describe the quantum gas analysis and inference (Q-GAIN) Python package, which enables rapid deployment of machine learning (ML) and physics-informed analysis techniques fo…
Efficient production of sodium Bose-Einstein condensates in a hybrid trap
Yanda Geng, Shouvik Mukherjee, Swarnav Banik +6
We describe an apparatus that efficiently produces Na Bose-Einstein condensates (BECs) in a hybrid trap that combines a quadrupole magnetic field with a far-detuned optical…
The Rayleigh-Taylor instability in a binary quantum fluid
Yanda Geng, Junheng Tao, Mingshu Zhao +4
Instabilities, where small fluctuations seed the formation of large-scale structures, govern dynamics in a variety of fluid systems. The Rayleigh-Taylor instability (RTI), present…
A compact and open-source microcontroller-based rapid auto-alignment system
Yanda Geng, Alan Tsidilkovski, Kevin Weber +3
Maintaining stable and precise alignment of a laser beam is crucial in many optical setups. In this work, we present a microcontroller-based rapid auto-alignment system that detect…