Deep learning reconstruction of ultrashort pulses

Tom Zahavy; Alex Dikopoltsev; Oren Cohen; Shie Mannor; Mordechai Segev

doi:10.1364/CLEO_SI.2018.STh4N.1

Deep learning reconstruction of ultrashort pulses

Tom Zahavy, Alex Dikopoltsev^*, Oren Cohen, Shie Mannor, Mordechai Segev

^*Corresponding author for this work

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

Abstract

We propose and demonstrate, numerically and experimentally, the first deep neural network technique to reconstruct the amplitude and phase of ultrashort optical pulses. We anticipate that this approach will enable diagnostics of very weak pulses.

Original language	English
Title of host publication	CLEO
Subtitle of host publication	Science and Innovations, CLEO_SI 2018
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Print)	9781943580422
DOIs	https://doi.org/10.1364/CLEO_SI.2018.STh4N.1
State	Published - 2018
Externally published	Yes
Event	CLEO: Science and Innovations, CLEO_SI 2018 - San Jose, United States Duration: 13 May 2018 → 18 May 2018

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F94-CLEO_SI 2018
ISSN (Electronic)	2162-2701

Conference

Conference	CLEO: Science and Innovations, CLEO_SI 2018
Country/Territory	United States
City	San Jose
Period	13/05/18 → 18/05/18

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10.1364/CLEO_SI.2018.STh4N.1

Cite this

@inproceedings{15e326c3abcc4db1bb41693d1b959f6a,

title = "Deep learning reconstruction of ultrashort pulses",

abstract = "We propose and demonstrate, numerically and experimentally, the first deep neural network technique to reconstruct the amplitude and phase of ultrashort optical pulses. We anticipate that this approach will enable diagnostics of very weak pulses.",

author = "Tom Zahavy and Alex Dikopoltsev and Oren Cohen and Shie Mannor and Mordechai Segev",

note = "Publisher Copyright: {\textcopyright} OSA 2018.; CLEO: Science and Innovations, CLEO_SI 2018 ; Conference date: 13-05-2018 Through 18-05-2018",

year = "2018",

doi = "10.1364/CLEO_SI.2018.STh4N.1",

language = "英语",

isbn = "9781943580422",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "CLEO",

}

Zahavy, T, Dikopoltsev, A, Cohen, O, Mannor, S & Segev, M 2018, Deep learning reconstruction of ultrashort pulses. in CLEO: Science and Innovations, CLEO_SI 2018. Optics InfoBase Conference Papers, vol. Part F94-CLEO_SI 2018, Optica Publishing Group (formerly OSA), CLEO: Science and Innovations, CLEO_SI 2018, San Jose, United States, 13/05/18. https://doi.org/10.1364/CLEO_SI.2018.STh4N.1

TY - GEN

T1 - Deep learning reconstruction of ultrashort pulses

AU - Zahavy, Tom

AU - Dikopoltsev, Alex

AU - Cohen, Oren

AU - Mannor, Shie

AU - Segev, Mordechai

PY - 2018

Y1 - 2018

N2 - We propose and demonstrate, numerically and experimentally, the first deep neural network technique to reconstruct the amplitude and phase of ultrashort optical pulses. We anticipate that this approach will enable diagnostics of very weak pulses.

AB - We propose and demonstrate, numerically and experimentally, the first deep neural network technique to reconstruct the amplitude and phase of ultrashort optical pulses. We anticipate that this approach will enable diagnostics of very weak pulses.

UR - http://www.scopus.com/inward/record.url?scp=85048987751&partnerID=8YFLogxK

U2 - 10.1364/CLEO_SI.2018.STh4N.1

DO - 10.1364/CLEO_SI.2018.STh4N.1

M3 - 会议稿件

AN - SCOPUS:85048987751

SN - 9781943580422

T3 - Optics InfoBase Conference Papers

BT - CLEO

PB - Optica Publishing Group (formerly OSA)

T2 - CLEO: Science and Innovations, CLEO_SI 2018

Y2 - 13 May 2018 through 18 May 2018

ER -

Deep learning reconstruction of ultrashort pulses

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