ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
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Memory effect evaluation based on transmission matrix calculation |
Ming Li(李明), Long-Jie Fang(方龙杰), Lin Pang(庞霖) |
College of Physics, Sichuan University, Chengdu 610065, China |
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Abstract The memory effect is a type of auto correlation observed in linear systems, which is widely used to control scattered light through thin scattering layers. We show that there exists a strong correlation among the optimized phase distributions of adjacent focal points in focusing through scattering media. The numeric simulation and experiment indicate that within the memory effect, the phase difference between the two adjacent focal points shows an optical phase fringe pattern, and the closer the adjacent focal points are, the wider the fringe pattern will be, corresponding to the tilting of a plane wave phase added onto the acquired optical phase distribution at the focal point. This effect can be utilized for achieving optimal phase distributions of focal point scanning without optical phase evaluation via the experiment, which has great potential application in imaging through the scattering medium.
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Received: 23 January 2019
Revised: 04 April 2019
Accepted manuscript online:
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PACS:
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42.25.Hz
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(Interference)
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42.30.Rx
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(Phase retrieval)
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78.20.-e
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(Optical properties of bulk materials and thin films)
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Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 61675140 and 61377054) and Graduate Student's Research and Innovation Fund of Sichuan University, China (Grant No. 2018YJSY005). |
Corresponding Authors:
Lin Pang
E-mail: panglin_p@yahoo.com
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Cite this article:
Ming Li(李明), Long-Jie Fang(方龙杰), Lin Pang(庞霖) Memory effect evaluation based on transmission matrix calculation 2019 Chin. Phys. B 28 074207
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[1] |
Akbulut D, Huisman T J, van Putten E G, Vos W L and Mosk A P 2011 Opt. Express 19 4017
|
[2] |
Vellekoop I M and Mosk A P 2008 Opt. Commun. 281 3071
|
[3] |
Vellekoop I M and Mosk A P 2007 Opt. Lett. 32 2309
|
[4] |
Fang L, Zhang C, Zuo H, Zhu J and Pang L 2017 Chin. Opt. Lett. 15 102901
|
[5] |
Vellekoop I M, Lagendijk A and Mosk A P 2010 Nat. Photon. 4 320
|
[6] |
Feng S, Kane C, Lee P A and Stone A D 1988 Phys. Rev. Lett. 61 834
|
[7] |
Freund I I, Rosenbluh M and Feng S 1988 Phys. Rev. Lett. 61 2328
|
[8] |
Katz O, Small E and Silberberg Y 2012 Nat. Photon. 6 549
|
[9] |
Fang L, Zuo H, Pang L, Yang Z, Zhang X and Zhu J 2018 Opt. Lasers Eng. 106 105
|
[10] |
Ghielmetti G and Aegerter C M 2012 Opt. Express 20 3744
|
[11] |
Popoff S M, Lerosey G, Carminati R, Fink M, Boccara A C and Gigan S 2010 Phys. Rev. Lett. 104 100601
|
[12] |
Popoff S M, Lerosey G, Fink M, Boccara A C and Gigan S 2011 New J. Phys. 13 123021
|
[13] |
Patil M B, Okuyama Y, Ohkura Y, Toyabe T and Ihara S 1994 Solid-State Electron. 37 1359
|
[14] |
Tripathi S, Paxman R, Bifano T and Jr T K 2012 Opt. Express 20 16067
|
[15] |
Tao X, Bodington D, Reinig M and Kubby J 2015 Opt. Express 23 14168
|
[16] |
Conkey D B, Caravacaaguirre A M and Piestun R 2012 Opt. Express 20 1733
|
[17] |
Zhang X, Fang L, Zuo H, Du J, Gao F and Pang L 2018 Opt. Laser Technol. 103 373
|
[18] |
Judkewitz B, Horstmeyer R, Vellekoop I M, Papadopoulos I N and Yang C 2015 Nat. Phys. 11 684
|
[19] |
Osnabrugge G, Horstmeyer R, Papadopoulos I N, Judkewitz B and Vellekoop I M 2017 Optica 4 886
|
[20] |
Zuo H, Yang Z, Fang L and Luo S 2018 Laser Phys. 28 096202
|
[21] |
Vonk J and eds. T K 2012 The Oxford Handbook Of Comparative Evolutionary Psychology (New York: Oxford University Press) p. 574
|
[22] |
Zhang X C, Fang L J, Pang L 2018 Acta Phys. Sin. 67 104202 (in Chinese)
|
[23] |
Zhang C, Jia X and Xia C 2018 Chin. Phys. B 27 034206
|
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