2 papers
cond-mat.quant-gas2026
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…
physics.atom-ph2025
Nondestructive characterization of laser-cooled atoms using machine learning
G. De Sousa, M. Doris, D. D'Amato +3
We develop machine learning techniques for estimating physical properties of laser-cooled potassium-39 atoms in a magneto-optical trap using only the scattered light -- i.e., fluor…