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

被引：0

作者：

Ness, Gal ^{[1
]}

Vainbaum, Anastasiya ^{[1
]}

Shkedrov, Constantine ^{[1
]}

Florshaim, Yanay ^{[1
]}

Sagi, Yoav ^{[1
]}

机构：

[1] Technion Israel Inst Technol, Phys Dept, IL-32000 Haifa, Israel

来源：

2020 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO) | 2020年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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. (C) 2020 The Author(s)

引用

页数：2

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