Ignacio Raúl Matías Maestro
University of Navarra
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Ignacio Raúl Matías Maestro.
Optics Express | 2017
Ignacio Del Villar; Pablo Zubiate; Carlos R. Zamarreño; Francisco Javier Arregui San Martín; Ignacio Raúl Matías Maestro
Nanocoated D-shaped optical fibers have been proven as effective sensors. Here, we show that the full width at half minimum (FWHM) of lossy mode resonance can be reduced by optimizing the nanocoating width, thickness and refractive index. As a counterpart, several resonances are observed in the optical spectrum for specific conditions. These resonances are caused by multiple modes guided in the nanocoating. By optimizing the width of the coating and the imaginary part of its refractive index, it is possible to isolate one of these resonances, which allows one to reduce the full width at half minimum of the device and, hence, to increase the figure of merit. Moreover, it is even possible to avoid the need of a polarizer by designing a device where the resonance bands for TE and TM polarization are centered at the same wavelength. This is interesting for the development of optical filters and sensors with a high figure of merit.
Optica Pura y Aplicada | 2013
A.J. Rodríguez Rodríguez; D.G. Martínez Camacho; K. González Gutiérrez; Daniel A. May-Arrioja; R.F. Domínguez Cruz; Ignacio Raúl Matías Maestro; Carlos R. Zamarreño
In this work, we propose and demonstrate the fabrication of an optical fiber sensor based on multimode interference effects (MMI) for rum quality control. The operation of the sensor relies on the fact that when rum is adulterated, which can be done either with ethanol or ethylene glycol, the refractive index (RI) of the adulterated rum will be different as compared to the original rum. Since the white rum (Bacardi®) has a RI close to 1.345 and the highest RI of the contaminant is 1.412 (ethylene glycol), the RI of the adulterated rum will increase as the volume of the contaminant is increased. Therefore, considering that the MMI sensor exhibits a sensitivity of 258.06 nm/RIU for liquids with RI ranging from 1.318 to 1.4203, we can accurately determine if a rum sample is free of contaminants or adulterated with other liquid, which is typically performed using ethanol or toxic elements like ethylene glycol. Although the sensor cannot determine which kind of liquid is altering the rum, it can easily detect when the original rum has been adulterated, even with small amounts of liquid. The sensor also provides high repeatability and reversibility while using a fast and simple fabrication process.
Journal of Universal Computer Science | 2010
Susana Alcalde Bagüés; Andreas Zeidler; Cornel Klein; Carlos Fernández Valdivielso; Ignacio Raúl Matías Maestro
Archive | 2005
Ignacio Raúl Matías Maestro; Carlos Fernández
Optica pura y aplicada | 2012
S. López; Carlos R. Zamarreño; Miguel Hernáez Sáenz De Záitigui; Ignacio Del Villar Fernández; Ignacio Raúl Matías Maestro; Francisco Javier Arregui San Martín
Actas del I Encuentro de Investigadores en Infraestructuras Inteligentes (EI3 2011): Edificio Multidepartamental Guadalajara. 17 de marzo de 2011, 2011, ISBN 978-84-8138-911-1, págs. 17-20 | 2011
J. A. Nazabal; V. Torres; Francisco Falcone; Carlos Fernández Valdivielso; Ignacio Raúl Matías Maestro
Mundo electrónico | 2008
Alberto Yoldi; Susana Alcalde Bagüés; Ignacio Raúl Matías Maestro; Carlos Fernández Valdivielso
Simposio de Informática y Telecomunicaciones, 2002, ISBN 8469994174, págs. 73-85 | 2002
José Javier Astrain Escola; Ignacio Raúl Matías Maestro; Sonia Echeverría; Susana Alcalde
Archive | 2002
Carlos Fernández Valdivielso; Ignacio Raúl Matías Maestro; Francisco Javier Arregui-San-Martín; Manuel Jiménez Buendía; José Alfonso Vera Repullo; Joaquín Roca Dorda
Mundo de la domótica: nuevas tecnologías para el hogar, la oficina y la industria. | 2002
Carlos Fernández Valdivielso; Roberto Ochoa; Ignacio Raúl Matías Maestro