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

Single-shot absorption imaging of ultracold atoms using deep-neural-network

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

Technion - Israel Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	CLEO
Subtitle of host publication	QELS_Fundamental Science, CLEO_QELS 2020
DOIs	https://doi.org/10.1364/CLEO_QELS.2020.FW4C.7
State	Published - 2020
Event	CLEO: QELS_Fundamental Science, CLEO_QELS 2020 - Washington, United States Duration: 10 May 2020 → 15 May 2020

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F182-CLEO-QELS 2020

Conference

Conference	CLEO: QELS_Fundamental Science, CLEO_QELS 2020
Country/Territory	United States
City	Washington
Period	10/05/20 → 15/05/20

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Mechanics of Materials

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10.1364/CLEO_QELS.2020.FW4C.7

Cite this

@inproceedings{11427cad22304323bbbb48d09fe0d910,

title = "Single-shot absorption imaging of ultracold atoms using deep-neural-network",

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.",

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

note = "Publisher Copyright: CLEO 2020 {\textcopyright} OSA 2020.; CLEO: QELS\_Fundamental Science, CLEO\_QELS 2020 ; Conference date: 10-05-2020 Through 15-05-2020",

year = "2020",

doi = "10.1364/CLEO\_QELS.2020.FW4C.7",

language = "الإنجليزيّة",

isbn = "9781943580767",

series = "Optics InfoBase Conference Papers",

booktitle = "CLEO",

}

Ness, G, Vainbaum, A, Shkedrov, C, Florshaim, Y & Sagi, Y 2020, Single-shot absorption imaging of ultracold atoms using deep-neural-network. in CLEO: QELS_Fundamental Science, CLEO_QELS 2020. Optics InfoBase Conference Papers, vol. Part F182-CLEO-QELS 2020, CLEO: QELS_Fundamental Science, CLEO_QELS 2020, Washington, United States, 10/05/20. https://doi.org/10.1364/CLEO_QELS.2020.FW4C.7

TY - GEN

T1 - Single-shot absorption imaging of ultracold atoms using deep-neural-network

AU - Ness, Gal

AU - Vainbaum, Anastasiya

AU - Shkedrov, Constantine

AU - Florshaim, Yanay

AU - Sagi, Yoav

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85095444561&partnerID=8YFLogxK

U2 - 10.1364/CLEO_QELS.2020.FW4C.7

DO - 10.1364/CLEO_QELS.2020.FW4C.7

M3 - منشور من مؤتمر

SN - 9781943580767

T3 - Optics InfoBase Conference Papers

BT - CLEO

T2 - CLEO: QELS_Fundamental Science, CLEO_QELS 2020

Y2 - 10 May 2020 through 15 May 2020

ER -

Single-shot absorption imaging of ultracold atoms using deep-neural-network

Abstract

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Conference

All Science Journal Classification (ASJC) codes

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