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Real-time imaging of standing-wave patterns in microresonators.

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Title: Real-time imaging of standing-wave patterns in microresonators.
Authors: Haochen Yan1,2, Ghosh, Alekhya1,2, Pal, Arghadeep1,2, Hao Zhang1, Bi, Toby1,2, Ghalanos, George1, Shuangyou Zhang1, Hill, Lewis1,3, Yaojing Zhang1, Yongyong Zhuang1,4, Xavier, Jolly1,5, Del'Haye, Pascal1,2 pascal.delhaye@mpl.mpg.de
Source: Proceedings of the National Academy of Sciences of the United States of America. 3/5/2024, Vol. 121 Issue 10, p1-7. 9p.
Subjects: Optical resonators, Standing waves, Wave analysis, Integrated circuits, Image analysis, Resonators
Abstract: Real-time characterization of microresonator dynamics is important for many applications. In particular, it is critical for near-field sensing and understanding light--matter interactions. Here, we report camera-facilitated imaging and analysis of standing wave patterns in optical ring resonators. The standing wave pattern is generated through bidirectional pumping of a microresonator, and the scattered light from the microresonator is collected by a short-wave infrared (SWIR) camera. The recorded scattering patterns are wavelength dependent, and the scattered intensity exhibits a linear relation with the circulating power within the microresonator. By modulating the relative phase between the two pump waves, we can control the generated standing waves' movements and characterize the resonator with the SWIR camera. The visualized standing wave enables subwavelength distance measurements of scattering targets with nanometer-level accuracy. This work opens broad avenues for applications in on-chip near-field (bio) sensing, real-time characterization of photonic integrated circuits, and backscattering control in telecom systems. [ABSTRACT FROM AUTHOR]
Copyright of Proceedings of the National Academy of Sciences of the United States of America is the property of National Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 175882821
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Real-time imaging of standing-wave patterns in microresonators.
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  Data: <searchLink fieldCode="AR" term="%22Haochen+Yan%22">Haochen Yan</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Ghosh%2C+Alekhya%22">Ghosh, Alekhya</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Pal%2C+Arghadeep%22">Pal, Arghadeep</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Hao+Zhang%22">Hao Zhang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Bi%2C+Toby%22">Bi, Toby</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Ghalanos%2C+George%22">Ghalanos, George</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Shuangyou+Zhang%22">Shuangyou Zhang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hill%2C+Lewis%22">Hill, Lewis</searchLink><relatesTo>1,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Yaojing+Zhang%22">Yaojing Zhang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Yongyong+Zhuang%22">Yongyong Zhuang</searchLink><relatesTo>1,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Xavier%2C+Jolly%22">Xavier, Jolly</searchLink><relatesTo>1,5</relatesTo><br /><searchLink fieldCode="AR" term="%22Del'Haye%2C+Pascal%22">Del'Haye, Pascal</searchLink><relatesTo>1,2</relatesTo><i> pascal.delhaye@mpl.mpg.de</i>
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  Data: <searchLink fieldCode="DE" term="%22Optical+resonators%22">Optical resonators</searchLink><br /><searchLink fieldCode="DE" term="%22Standing+waves%22">Standing waves</searchLink><br /><searchLink fieldCode="DE" term="%22Wave+analysis%22">Wave analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Integrated+circuits%22">Integrated circuits</searchLink><br /><searchLink fieldCode="DE" term="%22Image+analysis%22">Image analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Resonators%22">Resonators</searchLink>
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  Data: Real-time characterization of microresonator dynamics is important for many applications. In particular, it is critical for near-field sensing and understanding light--matter interactions. Here, we report camera-facilitated imaging and analysis of standing wave patterns in optical ring resonators. The standing wave pattern is generated through bidirectional pumping of a microresonator, and the scattered light from the microresonator is collected by a short-wave infrared (SWIR) camera. The recorded scattering patterns are wavelength dependent, and the scattered intensity exhibits a linear relation with the circulating power within the microresonator. By modulating the relative phase between the two pump waves, we can control the generated standing waves' movements and characterize the resonator with the SWIR camera. The visualized standing wave enables subwavelength distance measurements of scattering targets with nanometer-level accuracy. This work opens broad avenues for applications in on-chip near-field (bio) sensing, real-time characterization of photonic integrated circuits, and backscattering control in telecom systems. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Proceedings of the National Academy of Sciences of the United States of America is the property of National Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1073/pnas.2313981121
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        Text: English
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      – SubjectFull: Wave analysis
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      – SubjectFull: Image analysis
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              Text: 3/5/2024
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