INFERRING THE TEMPERATURE OF A LASER-COOLED RUBIDIUM ATOM CLOUD: MODEL AND EXPERIMENT
Dana, Christopher S.
Atom-based sensors have the potential to enhance inertial navigation in Global Positioning System (GPS)-denied environments, providing an alternative to traditional accelerometers, gyroscopes, and sensors. Accurate temperature characterization is critical for atom interferometry, which relies on precise control of atomic motion to achieve high sensitivity. This research develops a model to infer the temperature of laser-cooled rubidium vapor by analyzing its ballistic expansion. The release and recapture method is employed to track atomic cloud dynamics after trap release, refining temperature inference through comparison with theoretical models. A magneto-optical trap is used to cool and confine the atoms, followed by sub-Doppler cooling to achieve lower temperatures. By characterizing expansion dynamics, this study improves temperature measurement techniques for cold atomic samples, addressing sources of systematic uncertainty that affect precision in quantum sensors. These findings contribute to advancements in laser cooling methodologies and atomic interferometry at the Naval Postgraduate School, with direct defense applications in inertial navigation, precision measurement, and sensing.
•Mar 1, 2025•0 citations