dc.identifier.uri |
http://dx.doi.org/10.15488/17133 |
|
dc.identifier.uri |
https://www.repo.uni-hannover.de/handle/123456789/17261 |
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dc.contributor.author |
Sader, Lynn
|
|
dc.contributor.author |
Bose, Surajit
|
|
dc.contributor.author |
Kashi, Anahita Khodadad
|
|
dc.contributor.author |
Boussafa, Yassin
|
|
dc.contributor.author |
Haldar, Raktim
|
|
dc.contributor.author |
Dauliat, Romain
|
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dc.contributor.author |
Roy, Philippe
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dc.contributor.author |
Fabert, Marc
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dc.contributor.author |
Tonello, Alessandro
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dc.contributor.author |
Couderc, Vincent
|
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dc.contributor.author |
Kues, Michael
|
|
dc.contributor.author |
Wetzel, Benjamin
|
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dc.date.accessioned |
2024-04-18T06:09:22Z |
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dc.date.available |
2024-04-18T06:09:22Z |
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dc.date.issued |
2023 |
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dc.identifier.citation |
Sader, L.; Bose, S.; Kashi, A.K.; Boussafa, Y.; Haldar, R. et al.: Single-Photon Level Dispersive Fourier Transform: Ultrasensitive Characterization of Noise-Driven Nonlinear Dynamics. In: ACS Photonics 10 (2023), Nr. 11, S. 3915-3928. DOI: https://doi.org/10.1021/acsphotonics.3c00711 |
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dc.description.abstract |
Dispersive Fourier transform is a characterization technique that allows directly extracting an optical spectrum from a time domain signal, thus providing access to real-time characterization of the signal spectrum. However, these techniques suffer from sensitivity and dynamic range limitations, hampering their use for special applications in, e.g., high-contrast characterizations and sensing. Here, we report on a novel approach to dispersive Fourier transform-based characterization using single-photon detectors. In particular, we experimentally develop this approach by leveraging mutual information analysis for signal processing and hold a performance comparison with standard dispersive Fourier transform detection and statistical tools. We apply the comparison to the analysis of noise-driven nonlinear dynamics arising from well-known modulation instability processes. We demonstrate that with this dispersive Fourier transform approach, mutual information metrics allow for successfully gaining insight into the fluctuations associated with modulation instability-induced spectral broadening, providing qualitatively similar signatures compared to ultrafast photodetector-based dispersive Fourier transform but with improved signal quality and spectral resolution (down to 53 pm). The technique presents an intrinsically unlimited dynamic range and is extremely sensitive, with a sensitivity reaching below the femtowatt (typically 4 orders of magnitude better than ultrafast dispersive Fourier transform detection). We show that this method can not only be implemented to gain insight into noise-driven (spontaneous) frequency conversion processes but also be leveraged to characterize incoherent dynamics seeded by weak coherent optical fields. |
eng |
dc.language.iso |
eng |
|
dc.publisher |
Washington, DC : ACS |
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dc.relation.ispartofseries |
ACS Photonics 10 (2023), Nr. 11 |
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dc.rights |
CC BY-NC-ND 4.0 Unported |
|
dc.rights.uri |
https://creativecommons.org/licenses/by-nc-nd/4.0 |
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dc.subject |
fiber optics |
eng |
dc.subject |
modulation instability |
eng |
dc.subject |
nonlinear photonics |
eng |
dc.subject |
real-time characterization techniques |
eng |
dc.subject |
spectral correlation |
eng |
dc.subject.ddc |
620 | Ingenieurwissenschaften und Maschinenbau
|
|
dc.subject.ddc |
530 | Physik
|
|
dc.title |
Single-Photon Level Dispersive Fourier Transform: Ultrasensitive Characterization of Noise-Driven Nonlinear Dynamics |
eng |
dc.type |
Article |
|
dc.type |
Text |
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dc.relation.essn |
2330-4022 |
|
dc.relation.issn |
2330-4022 |
|
dc.relation.doi |
https://doi.org/10.1021/acsphotonics.3c00711 |
|
dc.bibliographicCitation.issue |
11 |
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dc.bibliographicCitation.volume |
10 |
|
dc.bibliographicCitation.firstPage |
3915 |
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dc.bibliographicCitation.lastPage |
3928 |
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dc.description.version |
publishedVersion |
eng |
tib.accessRights |
frei zug�nglich |
|