Synthetic dataset of speckle images for fiber optic temperature sensor
Los datos publicados corresponden a imágenes de specklegrams simulados, que resultan del cálculo de la interferencia modal que se produce en una fibra óptica multimodo. Estos tienen un patrón característico debido a la interferencia constructiva o destructiva entre los modos de luz dependiendo de su...
- Autores:
-
velez hoyos, francisco javier
UCC, Univercidad Cooperativa de Colombia
aristizabal tique, victor hugo
ITM, Instituto Tecnológico Metropolitano
Politecnico JIC, Politécnico Jaime IsazaCadavid
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2023
- Institución:
- Universidad Cooperativa de Colombia
- Repositorio:
- Repositorio UCC
- Idioma:
- OAI Identifier:
- oai:repository.ucc.edu.co:20.500.12494/49306
- Acceso en línea:
- https://doi.org/10.1016/j.dib.2023.109134
https://hdl.handle.net/20.500.12494/49306
- Palabra clave:
- Sensor óptico Interferencia modal Specklegram Fibra moteada
Optical sensor Modal interference Specklegram Fiber speckle
- Rights
- openAccess
- License
- Atribución – No comercial
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dc.title.none.fl_str_mv |
Synthetic dataset of speckle images for fiber optic temperature sensor |
title |
Synthetic dataset of speckle images for fiber optic temperature sensor |
spellingShingle |
Synthetic dataset of speckle images for fiber optic temperature sensor Sensor óptico Interferencia modal Specklegram Fibra moteada Optical sensor Modal interference Specklegram Fiber speckle |
title_short |
Synthetic dataset of speckle images for fiber optic temperature sensor |
title_full |
Synthetic dataset of speckle images for fiber optic temperature sensor |
title_fullStr |
Synthetic dataset of speckle images for fiber optic temperature sensor |
title_full_unstemmed |
Synthetic dataset of speckle images for fiber optic temperature sensor |
title_sort |
Synthetic dataset of speckle images for fiber optic temperature sensor |
dc.creator.fl_str_mv |
velez hoyos, francisco javier UCC, Univercidad Cooperativa de Colombia aristizabal tique, victor hugo ITM, Instituto Tecnológico Metropolitano Politecnico JIC, Politécnico Jaime IsazaCadavid |
dc.contributor.author.none.fl_str_mv |
velez hoyos, francisco javier UCC, Univercidad Cooperativa de Colombia aristizabal tique, victor hugo ITM, Instituto Tecnológico Metropolitano Politecnico JIC, Politécnico Jaime IsazaCadavid |
dc.subject.none.fl_str_mv |
Sensor óptico Interferencia modal Specklegram Fibra moteada |
topic |
Sensor óptico Interferencia modal Specklegram Fibra moteada Optical sensor Modal interference Specklegram Fiber speckle |
dc.subject.other.none.fl_str_mv |
Optical sensor Modal interference Specklegram Fiber speckle |
description |
Los datos publicados corresponden a imágenes de specklegrams simulados, que resultan del cálculo de la interferencia modal que se produce en una fibra óptica multimodo. Estos tienen un patrón característico debido a la interferencia constructiva o destructiva entre los modos de luz dependiendo de sus diferencias de fase. El specklegram contiene información valiosa ya que la propagación de los modos varía según la influencia de algunas perturbaciones externas y, por lo tanto, el patrón de speckle cambia. Este conjunto de datos contiene moteados que varían según la temperatura. Estos datos se han obtenido mediante simulación mediante el método de elementos finitos (FEM) a través de la plataforma multifísica COMSOL, en la simulación se resuelve la ecuación de onda vectorial y se recalcula el índice de refracción de la fibra debido al cambio de temperatura. Simulamos una longitud de onda de 1490 nm |
publishDate |
2023 |
dc.date.accessioned.none.fl_str_mv |
2023-05-10T16:48:30Z |
dc.date.available.none.fl_str_mv |
2023-05-10T16:48:30Z |
dc.date.issued.none.fl_str_mv |
2023-04-07 |
dc.type.none.fl_str_mv |
Artículos Científicos |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/redcol/resource_type/ART |
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2352-3409 |
dc.identifier.uri.none.fl_str_mv |
https://doi.org/10.1016/j.dib.2023.109134 https://hdl.handle.net/20.500.12494/49306 |
dc.identifier.bibliographicCitation.none.fl_str_mv |
Juan Arango, Victor Aristizabal, Francisco Vélez, Juan Carrasquilla, Jorge Gomez, Jairo Quijano, Jorge Herrera-Ramirez, Synthetic dataset of speckle images for fiber optic temperature sensor,Data in Brief,Volume 48,2023,109134,ISSN 2352-3409, https://doi.org/10.1016/j.dib.2023.109134. (https://www.sciencedirect.com/science/article/pii/S2352340923002536) Abstract: The published data correspond to images of simulated specklegrams, which result from the calculation of the modal interference that occurs in a multimode optical fiber. These have a characteristic pattern due to the constructive or destructive interference between the light modes depending on their phase differences. The specklegram contains valuable information since the propagation of the modes varies according to the influence of some external disturbances, and therefore, the speckle pattern changes. This dataset contains specklegrams that vary according to the temperature. These data have been obtained by simulation using the finite element method (FEM) through the COMSOL multiphysics platform. In the simulation, the vector wave equation is solved, and the refractive index of the fiber is recalculated due to the temperature change. We simulated a 1490 nm wavelength laser, an optical fiber with a core diameter of 50 µm and cladding diameter of 125 µm. The dataset contains specklegrams covering the range of temperatures from 0°C to 120°C in 0.2°C steps. Keywords: Optical sensor; Modal interference; Specklegram; Fiber speckle |
identifier_str_mv |
2352-3409 Juan Arango, Victor Aristizabal, Francisco Vélez, Juan Carrasquilla, Jorge Gomez, Jairo Quijano, Jorge Herrera-Ramirez, Synthetic dataset of speckle images for fiber optic temperature sensor,Data in Brief,Volume 48,2023,109134,ISSN 2352-3409, https://doi.org/10.1016/j.dib.2023.109134. (https://www.sciencedirect.com/science/article/pii/S2352340923002536) Abstract: The published data correspond to images of simulated specklegrams, which result from the calculation of the modal interference that occurs in a multimode optical fiber. These have a characteristic pattern due to the constructive or destructive interference between the light modes depending on their phase differences. The specklegram contains valuable information since the propagation of the modes varies according to the influence of some external disturbances, and therefore, the speckle pattern changes. This dataset contains specklegrams that vary according to the temperature. These data have been obtained by simulation using the finite element method (FEM) through the COMSOL multiphysics platform. In the simulation, the vector wave equation is solved, and the refractive index of the fiber is recalculated due to the temperature change. We simulated a 1490 nm wavelength laser, an optical fiber with a core diameter of 50 µm and cladding diameter of 125 µm. The dataset contains specklegrams covering the range of temperatures from 0°C to 120°C in 0.2°C steps. Keywords: Optical sensor; Modal interference; Specklegram; Fiber speckle |
url |
https://doi.org/10.1016/j.dib.2023.109134 https://hdl.handle.net/20.500.12494/49306 |
dc.relation.isversionof.none.fl_str_mv |
https://www.sciencedirect.com/science/article/pii/S2352340923002536?via%3Dihub |
dc.relation.ispartofjournal.none.fl_str_mv |
Data in Brief |
dc.relation.references.none.fl_str_mv |
[1] J.D. Arango, et al., Synthetic dataset of fiber specklegram sensor with changes of temperature, OSF Registries (2022), doi: 10.17605/OSF.IO/ZFMP5 . [2] A. Hoyos, N. D. Gómez, and J. A. Gómez, Fiber specklegram sensors (FSS) for measuring high frequency mechanical perturbations 2013, 8785BH, doi: 10.1117/12.2026075 . [3] Y. Liu, G. Li, Q. Qin, Z. Tan, M. Wang, F. Yan, Bending recognition based on the analysis of fiber specklegrams using deep learning, Opt. Laser Technol. 131 (2020), doi: 10.1016/j.optlastec.2020.106424 . [4] J.D. Arango, et al., Numerical study using finite element method for the thermal response of fiber specklegram sensors with changes in the length of the sensing zone, Comput. Opt. 45 (4) (2021) 534–540, doi: 10.18287/ 2412- 6179- CO- 852 . [5] V.H. Arístizabal, F.J. Vélez, E. Rueda, N.D. Gómez, J.A. Gómez, Numerical modeling of fiber specklegram sensors by using finite element method (FEM), Opt. Express 24 (24) (2016) 27225, doi: 10.1364/oe.24.027225 . [6] P. Dragic, M. Cavillon, J. Ballato, On the thermo-optic coefficient of P_2O_5 in SiO_2, Opt. Mater. Express 7 (10) (2017) 3654, doi: 10.1364/OME.7.003654 . [7] V.H. Aristizabal, F.J. Vélez, P. Torres, Analysis of photonic crystal fibers: Scalar solution and polarization correction, Opt. Express 14 (24) (2006), doi: 10.1364/OE.14.011848 . [8] P. Torres, V.H. Aristizábal, M.V. Andrés, Modeling of photonic crystal fibers from the scalar wave equation with a purely transverse linearly polarized vector potential, J. Opt. Soc. Am. B 28 (4) (2011) 787–791, doi: 10.1364/JOSAB.28. 0 0 0787 . |
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velez hoyos, francisco javierUCC, Univercidad Cooperativa de Colombiaaristizabal tique, victor hugoITM, Instituto Tecnológico MetropolitanoPolitecnico JIC, Politécnico Jaime IsazaCadavid482023-05-10T16:48:30Z2023-05-10T16:48:30Z2023-04-072352-3409https://doi.org/10.1016/j.dib.2023.109134https://hdl.handle.net/20.500.12494/49306Juan Arango, Victor Aristizabal, Francisco Vélez, Juan Carrasquilla, Jorge Gomez, Jairo Quijano, Jorge Herrera-Ramirez, Synthetic dataset of speckle images for fiber optic temperature sensor,Data in Brief,Volume 48,2023,109134,ISSN 2352-3409, https://doi.org/10.1016/j.dib.2023.109134. (https://www.sciencedirect.com/science/article/pii/S2352340923002536) Abstract: The published data correspond to images of simulated specklegrams, which result from the calculation of the modal interference that occurs in a multimode optical fiber. These have a characteristic pattern due to the constructive or destructive interference between the light modes depending on their phase differences. The specklegram contains valuable information since the propagation of the modes varies according to the influence of some external disturbances, and therefore, the speckle pattern changes. This dataset contains specklegrams that vary according to the temperature. These data have been obtained by simulation using the finite element method (FEM) through the COMSOL multiphysics platform. In the simulation, the vector wave equation is solved, and the refractive index of the fiber is recalculated due to the temperature change. We simulated a 1490 nm wavelength laser, an optical fiber with a core diameter of 50 µm and cladding diameter of 125 µm. The dataset contains specklegrams covering the range of temperatures from 0°C to 120°C in 0.2°C steps. Keywords: Optical sensor; Modal interference; Specklegram; Fiber speckleLos datos publicados corresponden a imágenes de specklegrams simulados, que resultan del cálculo de la interferencia modal que se produce en una fibra óptica multimodo. Estos tienen un patrón característico debido a la interferencia constructiva o destructiva entre los modos de luz dependiendo de sus diferencias de fase. El specklegram contiene información valiosa ya que la propagación de los modos varía según la influencia de algunas perturbaciones externas y, por lo tanto, el patrón de speckle cambia. Este conjunto de datos contiene moteados que varían según la temperatura. Estos datos se han obtenido mediante simulación mediante el método de elementos finitos (FEM) a través de la plataforma multifísica COMSOL, en la simulación se resuelve la ecuación de onda vectorial y se recalcula el índice de refracción de la fibra debido al cambio de temperatura. Simulamos una longitud de onda de 1490 nmThe published data correspond to images of simulated speck- legrams, which result from the calculation of the modal in- terference that occurs in a multimode optical fiber. These have a characteristic pattern due to the constructive or de- structive interference between the light modes depending on their phase differences. The specklegram contains valuable information since the propagation of the modes varies ac- cording to the influence of some external disturbances, and therefore, the speckle pattern changes. This dataset contains specklegrams that vary according to the temperature. These data have been obtained by simulation using the finite ele- ment method (FEM) through the COMSOL multiphysics plat- form. In the simulation, the vector wave equation is solved, and the refractive index of the fiber is recalculated due to the temperature change. We simulated a 1490 nm wavelengthAbstract Keywords Value of the Data 1. Objective 2. Data Description 3. Experimental Design, Materials and Methods 4. Use of Dataset in a Deep Learning Interrogation Scheme Ethics Statements CRediT authorship contribution statement Declaration of Competing Interest Acknowledgments Data Availability Referenceshttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000448222https://orcid.org/0000-0002-4267-042Xhttps://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000005961fjvelezh@gmail.comhttps://scholar.google.com/citations?user=CLkAM5AAAAAJ&hl=es1-8Universidad Cooperativa de ColombiaelsevierIngeniería CivilMedellínhttps://www.sciencedirect.com/science/article/pii/S2352340923002536?via%3DihubData in Brief[1] J.D. Arango, et al., Synthetic dataset of fiber specklegram sensor with changes of temperature, OSF Registries (2022), doi: 10.17605/OSF.IO/ZFMP5 .[2] A. Hoyos, N. D. Gómez, and J. A. Gómez, Fiber specklegram sensors (FSS) for measuring high frequency mechanical perturbations 2013, 8785BH, doi: 10.1117/12.2026075 .[3] Y. Liu, G. Li, Q. Qin, Z. Tan, M. Wang, F. Yan, Bending recognition based on the analysis of fiber specklegrams using deep learning, Opt. Laser Technol. 131 (2020), doi: 10.1016/j.optlastec.2020.106424 .[4] J.D. Arango, et al., Numerical study using finite element method for the thermal response of fiber specklegram sensors with changes in the length of the sensing zone, Comput. Opt. 45 (4) (2021) 534–540, doi: 10.18287/ 2412- 6179- CO- 852 .[5] V.H. Arístizabal, F.J. Vélez, E. Rueda, N.D. Gómez, J.A. Gómez, Numerical modeling of fiber specklegram sensors by using finite element method (FEM), Opt. Express 24 (24) (2016) 27225, doi: 10.1364/oe.24.027225 .[6] P. Dragic, M. Cavillon, J. Ballato, On the thermo-optic coefficient of P_2O_5 in SiO_2, Opt. Mater. Express 7 (10) (2017) 3654, doi: 10.1364/OME.7.003654 .[7] V.H. Aristizabal, F.J. Vélez, P. Torres, Analysis of photonic crystal fibers: Scalar solution and polarization correction, Opt. Express 14 (24) (2006), doi: 10.1364/OE.14.011848 .[8] P. Torres, V.H. Aristizábal, M.V. Andrés, Modeling of photonic crystal fibers from the scalar wave equation with a purely transverse linearly polarized vector potential, J. Opt. Soc. Am. B 28 (4) (2011) 787–791, doi: 10.1364/JOSAB.28. 0 0 0787 .Sensor óptico Interferencia modal Specklegram Fibra moteadaOptical sensor Modal interference Specklegram Fiber speckleSynthetic dataset of speckle images for fiber optic temperature sensorArtículos Científicoshttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionAtribución – No comercialinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2PublicationORIGINAL2023-Synthetic dataset of Speckle images_Data in Brief.pdf2023-Synthetic dataset of Speckle images_Data in Brief.pdfapplication/pdf851826https://repository.ucc.edu.co/bitstreams/caab17bd-6406-4955-bc7e-e1a57c012270/downloadd05ea2c5474d5bebf61cff3cf56e4fb7MD51LICENSElicense.txtlicense.txttext/plain; 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