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Research Article
Shohei Minato
Delft University of Technology
Corresponding Author
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When using scattered waves for high-resolution imaging of a medium, the sensitivity of these waves to the spatiotemporal distribution of heterogeneities is undoubtedly a key factor. The traditional principle behind using scattered waves to detect small changes suffers from an inherent limitation when other structures, not of interest, are present along the wave propagation path. We propose a novel principle that leads to enhanced localization of wave sensitivity, without having to know the intermediate structures. This new principle emerges from a boundary integral representation which utilizes wave interferences observed at multiple points. When tested on geophysical acoustic wave data, this new principle leads to much better sensitivity localization and detection of small changes in seismic velocities, which were otherwise impossible. Overcoming the insensitivity to a target area, it offers new possibilities for imaging and monitoring small changes in properties, which is critical in a wide range of disciplines and scales.
Keywords
spatiotemporal distribution, heterogeneities, interferences observed, disciplines and scales
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No competing interests reported.
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Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 30 Mar, 2021
No community comments so far
Editorial decision: Major revision
On 06 Aug, 2021
Reviews received
Received 27 Jul, 2021
Reviews received
Received 22 Apr, 2021
Reviewers agreed
On 13 Apr, 2021
Reviewers agreed
On 09 Apr, 2021
Reviewers invited
Invitations sent on 06 Apr, 2021
Editor assigned
On 30 Mar, 2021
Editor invited
On 30 Mar, 2021
Submission checks complete
On 25 Mar, 2021
First submitted
On 24 Mar, 2021
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A new preprint design is coming!
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This preprint is under consideration at Scientific Reports. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Shohei Minato
Delft University of Technology
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 30 Mar, 2021
No community comments so far
Editorial decision: Major revision
On 06 Aug, 2021
Reviews received
Received 27 Jul, 2021
Reviews received
Received 22 Apr, 2021
Reviewers agreed
On 13 Apr, 2021
Reviewers agreed
On 09 Apr, 2021
Reviewers invited
Invitations sent on 06 Apr, 2021
Editor assigned
On 30 Mar, 2021
Editor invited
On 30 Mar, 2021
Submission checks complete
On 25 Mar, 2021
First submitted
On 24 Mar, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
When using scattered waves for high-resolution imaging of a medium, the sensitivity of these waves to the spatiotemporal distribution of heterogeneities is undoubtedly a key factor. The traditional principle behind using scattered waves to detect small changes suffers from an inherent limitation when other structures, not of interest, are present along the wave propagation path. We propose a novel principle that leads to enhanced localization of wave sensitivity, without having to know the intermediate structures. This new principle emerges from a boundary integral representation which utilizes wave interferences observed at multiple points. When tested on geophysical acoustic wave data, this new principle leads to much better sensitivity localization and detection of small changes in seismic velocities, which were otherwise impossible. Overcoming the insensitivity to a target area, it offers new possibilities for imaging and monitoring small changes in properties, which is critical in a wide range of disciplines and scales.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
No competing interests reported.
This is a list of supplementary files associated with this preprint. Click to download.
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