Optical Sensing and Optical Physics Research

A special issue of Optics (ISSN 2673-3269).

Deadline for manuscript submissions: 20 October 2024 | Viewed by 2701

Special Issue Editors


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Guest Editor
Center for Research and Advanced Studies of the National Polytechnic Institute, CINVESTAV Monterrey, Apodaca 66600, Mexico
Interests: optics; optical sensing; optical fibers; fiber optics sensors; light scattering; dynamics of random media

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Guest Editor
Physical-Mathematical Sciences Research Center (CICFIM), Nuevo Leon Autonomus University (UANL), San Nicolás de los Garza 64455, Mexico
Interests: optics; fiber optics; fiber optics sensors; lasers; fiber optics lasers; tunable fiber optics lasers

Special Issue Information

Dear Colleagues,

The interaction of light with matter can be encoded into multiple degrees of freedom (amplitude, phase, polarization, wavelength, spatial and temporal coherence, among others), thus providing ample means for the development of versatile optical sensing approaches. In recent years, the fields of optical sensing and optical physics research have grown rapidly, hand in hand with the technological innovations required to fully exploit the advantages of light-based monitoring, such as the capability for real-time performance.

This Special Issue aims to constitute a multidisciplinary forum where scientists, researchers, and engineers can present their latest promising achievements related to optical sensing and optical physics research. Original research articles and comprehensive reviews will be considered. Due to their relevance in the more recent state-of-the-art advances, optical sensing schemes using both passive and active optical fiber platforms are particularly welcome.

Dr. Jose Rafael Guzman-Sepulveda
Dr. Arturo Alberto Castillo-Guzmán
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Optics is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • optics
  • optical sensing
  • optical physics
  • optical sensors
  • light–matter interaction
  • fiber optics sensors

Published Papers (3 papers)

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Research

15 pages, 3575 KiB  
Article
Enhancing Microwave Photonic Interrogation Accuracy for Fiber-Optic Temperature Sensors via Artificial Neural Network Integration
by Roman Makarov, Mohammed R. T. M. Qaid, Alaa N. Al Hussein, Bulat Valeev, Timur Agliullin, Vladimir Anfinogentov and Airat Sakhabutdinov
Optics 2024, 5(2), 223-237; https://doi.org/10.3390/opt5020016 - 10 Apr 2024
Viewed by 383
Abstract
In this paper, an application of an artificial neural network algorithm is proposed to enhance the accuracy of temperature measurement using a fiber-optic sensor based on a Fabry–Perot interferometer (FPI). It is assumed that the interrogation of the FPI is carried out using [...] Read more.
In this paper, an application of an artificial neural network algorithm is proposed to enhance the accuracy of temperature measurement using a fiber-optic sensor based on a Fabry–Perot interferometer (FPI). It is assumed that the interrogation of the FPI is carried out using an optical comb generator realizing a microwave photonic approach. Firstly, modelling of the reflection spectrum of a Fabry–Perot interferometer is implemented. Secondly, probing of the obtained spectrum using a comb-generator model is performed. The resulting electrical signal of the photodetector is processed and is used to create a sample for artificial neural network training aimed at temperature detection. It is demonstrated that the artificial neural network implementation can predict temperature variations with an accuracy equal to 0.018 °C in the range from −10 to +10 °C and 0.147 in the range from −15 to +15 °C. Full article
(This article belongs to the Special Issue Optical Sensing and Optical Physics Research)
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11 pages, 1784 KiB  
Article
Tunable, Nonmechanical, Fractional Talbot Illuminators
by Cristina M. Gómez-Sarabia and Jorge Ojeda-Castañeda
Optics 2023, 4(4), 602-612; https://doi.org/10.3390/opt4040045 - 07 Dec 2023
Cited by 1 | Viewed by 682
Abstract
Inside an optical Fourier processor, we inserted a varifocal system to continuously magnify the frequency of a master grating. The proposed system does not involve any mechanical compensation for scaling the Fourier spectrum. As the magnification, M, varies, the Fourier spectrum remains at [...] Read more.
Inside an optical Fourier processor, we inserted a varifocal system to continuously magnify the frequency of a master grating. The proposed system does not involve any mechanical compensation for scaling the Fourier spectrum. As the magnification, M, varies, the Fourier spectrum remains at the same initial location. We identified a previously unknown quadratic phase factor for generating, in the fixed output plane, Talbot images of any fractional order. We applied this result to setting a structured illumination beam, which does not have occluding regions. This illuminating beam can be useful for Talbot interferometry. Full article
(This article belongs to the Special Issue Optical Sensing and Optical Physics Research)
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9 pages, 2198 KiB  
Article
Relative Humidity Measurement Based on a Tapered, PVA-Coated Fiber Optics Multimode Interference Sensor
by Abraham A. Quiñones-Flores, Jose R. Guzman-Sepulveda and Arturo A. Castillo-Guzman
Optics 2023, 4(3), 473-481; https://doi.org/10.3390/opt4030034 - 31 Jul 2023
Viewed by 1017
Abstract
A relative humidity (RH) fiber optic sensor is demonstrated based on the multimode interference (MMI) phenomenon utilizing a no-core fiber (NCF) coated with polyvinyl alcohol (PVA). The sensor’s structure is simple and consists of a section of NCF spliced between two standard single-mode [...] Read more.
A relative humidity (RH) fiber optic sensor is demonstrated based on the multimode interference (MMI) phenomenon utilizing a no-core fiber (NCF) coated with polyvinyl alcohol (PVA). The sensor’s structure is simple and consists of a section of NCF spliced between two standard single-mode fibers (SMFs). The fabrication and testing of a tapered version with enhanced sensitivity is also presented. The native MMI sensor showed a sensitivity of 5.6nm/RH%, in the range from 87 RH% to 93 RH%, while the tapered one exhibited an increased sensitivity of 6.6nm/RH%, in the range from 91.5 RH% to 94 RH%. The sensitivity values obtained with these MMI sensors are at least twice as large as the most sensitive fiber optics humidity sensor reported in the literature in a similar RH range. Full article
(This article belongs to the Special Issue Optical Sensing and Optical Physics Research)
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