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Article: Dispersion Engineering for Advanced Temporal Imaging Modalities

TitleDispersion Engineering for Advanced Temporal Imaging Modalities
Authors
KeywordsDispersion
parametric mixing
spaceâ€Â"time duality
spectrum analysis
temporal imaging
ultrafast imaging
ultrafast measurement
Issue Date1-Jul-2023
PublisherInstitute of Electrical and Electronics Engineers
Citation
Journal of Lightwave Technology, 2023, v. 41, n. 13, p. 4271-4282 How to Cite?
Abstract

Temporal imaging provides a promising platform for ultrafast signal processing in both spectral and temporal domains. Most temporal imaging systems consist of time-lens and temporal dispersion; while optical fibers are desirable to achieve the dispersion component by virtue of their acceptable losses. On the other hand, parametric mixing-based time-lens is commonly used in temporal imaging thanks to the high modulation depth. In those situations, highly nonlinear fiber (HNLF) is used as the nonlinear medium. However, third-order dispersion (TOD) exists in commercial fibers will incur temporal aberration on the system. For instance, the inherent dispersion in HNLF decreases the conversion bandwidth of the parametric process, which restricts the performance of time-lens. In this article, we present our recent efforts in dispersion engineering for temporal imaging systems, both in the temporal dispersion and the nonlinear medium. All these efforts could inspire more innovative applications of temporal imaging modalities in the future.


Persistent Identifierhttp://hdl.handle.net/10722/331566
ISSN
2023 Impact Factor: 4.1
2023 SCImago Journal Rankings: 1.370
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorDong, Xin-
dc.contributor.authorWang, Sheng-
dc.contributor.authorShi, Minghui-
dc.contributor.authorLi, Bowen-
dc.contributor.authorChen, Liao-
dc.contributor.authorZhang, Chi-
dc.contributor.authorWong, Kenneth-
dc.date.accessioned2023-09-21T06:56:58Z-
dc.date.available2023-09-21T06:56:58Z-
dc.date.issued2023-07-01-
dc.identifier.citationJournal of Lightwave Technology, 2023, v. 41, n. 13, p. 4271-4282-
dc.identifier.issn0733-8724-
dc.identifier.urihttp://hdl.handle.net/10722/331566-
dc.description.abstract<p>Temporal imaging provides a promising platform for ultrafast signal processing in both spectral and temporal domains. Most temporal imaging systems consist of time-lens and temporal dispersion; while optical fibers are desirable to achieve the dispersion component by virtue of their acceptable losses. On the other hand, parametric mixing-based time-lens is commonly used in temporal imaging thanks to the high modulation depth. In those situations, highly nonlinear fiber (HNLF) is used as the nonlinear medium. However, third-order dispersion (TOD) exists in commercial fibers will incur temporal aberration on the system. For instance, the inherent dispersion in HNLF decreases the conversion bandwidth of the parametric process, which restricts the performance of time-lens. In this article, we present our recent efforts in dispersion engineering for temporal imaging systems, both in the temporal dispersion and the nonlinear medium. All these efforts could inspire more innovative applications of temporal imaging modalities in the future.<br></p>-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofJournal of Lightwave Technology-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectDispersion-
dc.subjectparametric mixing-
dc.subjectspaceâ€Â"time duality-
dc.subjectspectrum analysis-
dc.subjecttemporal imaging-
dc.subjectultrafast imaging-
dc.subjectultrafast measurement-
dc.titleDispersion Engineering for Advanced Temporal Imaging Modalities-
dc.typeArticle-
dc.identifier.doi10.1109/JLT.2023.3236485-
dc.identifier.scopuseid_2-s2.0-85165784034-
dc.identifier.volume41-
dc.identifier.issue13-
dc.identifier.spage4271-
dc.identifier.epage4282-
dc.identifier.eissn1558-2213-
dc.identifier.isiWOS:001033577800025-
dc.identifier.issnl0733-8724-

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