Use of a Hybrid Opto-electronic Correlator for High-Speed Pattern Recognition in Fundamental Science Applications

Aarushi Tiwari; Julian Gamboa; Tabassom Hamidfar; Xi Shen; Selim M. Shahriar

doi:10.1364/FIO.2023.JW4A.77

Use of a Hybrid Opto-electronic Correlator for High-Speed Pattern Recognition in Fundamental Science Applications

Aarushi Tiwari, Julian Gamboa, Tabassom Hamidfar, Xi Shen, Selim M. Shahriar

Electrical and Computer Engineering

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

Abstract

Current electronics-based approaches used by research facilities such as CERN and LIGO are sub-optimal for signal recognition in large-scale data streams. We demonstrate the Hybrid Opto-electronic correlator as a potential alternative for fast data processing.

Original language	English (US)
Title of host publication	Frontiers in Optics
Subtitle of host publication	Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023
Publisher	Optical Society of America
ISBN (Electronic)	9781957171296
DOIs	https://doi.org/10.1364/FIO.2023.JW4A.77
State	Published - 2023
Event	Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023 - Tacoma, United States Duration: Oct 9 2023 → Oct 12 2023

Publication series

Name	Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023

Conference

Conference	Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023
Country/Territory	United States
City	Tacoma
Period	10/9/23 → 10/12/23

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Space and Planetary Science
Control and Systems Engineering
Electrical and Electronic Engineering
General Computer Science
Instrumentation

Access to Document

10.1364/FIO.2023.JW4A.77

Cite this

Tiwari, A., Gamboa, J., Hamidfar, T., Shen, X., & Shahriar, S. M. (2023). Use of a Hybrid Opto-electronic Correlator for High-Speed Pattern Recognition in Fundamental Science Applications. In Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023 (Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023). Optical Society of America. https://doi.org/10.1364/FIO.2023.JW4A.77

Tiwari, Aarushi ; Gamboa, Julian ; Hamidfar, Tabassom et al. / Use of a Hybrid Opto-electronic Correlator for High-Speed Pattern Recognition in Fundamental Science Applications. Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023. Optical Society of America, 2023. (Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023).

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title = "Use of a Hybrid Opto-electronic Correlator for High-Speed Pattern Recognition in Fundamental Science Applications",

abstract = "Current electronics-based approaches used by research facilities such as CERN and LIGO are sub-optimal for signal recognition in large-scale data streams. We demonstrate the Hybrid Opto-electronic correlator as a potential alternative for fast data processing.",

author = "Aarushi Tiwari and Julian Gamboa and Tabassom Hamidfar and Xi Shen and Shahriar, {Selim M.}",

note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2023, {\textcopyright} 2023 The Author(s); Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023 ; Conference date: 09-10-2023 Through 12-10-2023",

year = "2023",

doi = "10.1364/FIO.2023.JW4A.77",

language = "English (US)",

series = "Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023",

publisher = "Optical Society of America",

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Tiwari, A, Gamboa, J, Hamidfar, T, Shen, X & Shahriar, SM 2023, Use of a Hybrid Opto-electronic Correlator for High-Speed Pattern Recognition in Fundamental Science Applications. in Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023. Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023, Optical Society of America, Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023, Tacoma, United States, 10/9/23. https://doi.org/10.1364/FIO.2023.JW4A.77

Use of a Hybrid Opto-electronic Correlator for High-Speed Pattern Recognition in Fundamental Science Applications. / Tiwari, Aarushi; Gamboa, Julian; Hamidfar, Tabassom et al.
Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023. Optical Society of America, 2023. (Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023).

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

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T1 - Use of a Hybrid Opto-electronic Correlator for High-Speed Pattern Recognition in Fundamental Science Applications

AU - Tiwari, Aarushi

AU - Gamboa, Julian

AU - Hamidfar, Tabassom

AU - Shen, Xi

AU - Shahriar, Selim M.

PY - 2023

Y1 - 2023

N2 - Current electronics-based approaches used by research facilities such as CERN and LIGO are sub-optimal for signal recognition in large-scale data streams. We demonstrate the Hybrid Opto-electronic correlator as a potential alternative for fast data processing.

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M3 - Conference contribution

AN - SCOPUS:85191152200

T3 - Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023

BT - Frontiers in Optics

PB - Optical Society of America

T2 - Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023

Y2 - 9 October 2023 through 12 October 2023

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Tiwari A, Gamboa J, Hamidfar T, Shen X, Shahriar SM. Use of a Hybrid Opto-electronic Correlator for High-Speed Pattern Recognition in Fundamental Science Applications. In Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023. Optical Society of America. 2023. (Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023). doi: 10.1364/FIO.2023.JW4A.77

Use of a Hybrid Opto-electronic Correlator for High-Speed Pattern Recognition in Fundamental Science Applications

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