Single-Shot Absorption Imaging of Ultracold Atoms Using Deep-Neural-Network

Gal Ness; Anastasiya Vainbaum; Constantine Shkedrov; Yanay Florshaim; Yoav Sagi

doi:10.1364/CLEO_QELS.2020.FW4C.7

Conference on Lasers and Electro-Optics
OSA Technical Digest (Optica Publishing Group, 2020),
paper FW4C.7
•https://doi.org/10.1364/CLEO_QELS.2020.FW4C.7

Single-Shot Absorption Imaging of Ultracold Atoms Using Deep-Neural-Network

Gal Ness, Anastasiya Vainbaum, Constantine Shkedrov, Yanay Florshaim, and Yoav Sagi

CLEO: QELS_Fundamental Science 2020

Washington, DC United States
10–15 May 2020
ISBN: 978-1-943580-76-7

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Quantum Optics in Atomic Ensembles (FW4C)

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G. Ness, A. Vainbaum, C. Shkedrov, Y. Florshaim, and Y. Sagi, "Single-Shot Absorption Imaging of Ultracold Atoms Using Deep-Neural-Network," in Conference on Lasers and Electro-Optics, OSA Technical Digest (Optica Publishing Group, 2020), paper FW4C.7.

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Abstract

We demonstrate the use of a deep-neural-network to perform absorption imaging of ultracold atoms in a single exposure. The noise in the resulting images is smaller, hence physical observables can be extracted with better accuracy.

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