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1.
Machine Learning Estimation of the Phase at the Fading Points of an OFDR-Based Distributed Sensor / Aitkulov, Arman (Padua U.) ; Marcon, Leonardo (CERN) ; Chiuso, Alessandro (Padua U.) ; Palmieri, Luca (Padua U.) ; Galtarossa, Andrea (Padua U.)
The paper reports a machine learning approach for estimating the phase in a distributed acoustic sensor implemented using optical frequency domain reflectometry, with enhanced robustness at the fading points. A neural network configuration was trained using a simulated set of optical signals that were modeled after the Rayleigh scattering pattern of a perturbed fiber. [...]
2023 - 11 p. - Published in : Sensors 23 (2023) 262 Fulltext: PDF;
2.
Ionizing Radiation Effects in Silicon Photonics Modulators / Lalovic, Milana (CERN ; Belgrade U.) ; Scarcella, Carmelo (CERN) ; Bulling, Anthony (CERN) ; Detraz, Stephane (CERN) ; Marcon, Leonardo (CERN) ; Olantera, Lauri (CERN) ; Prousalidi, Theoni (CERN ; Natl. Tech. U., Athens) ; Sandven, Ulrik (CERN) ; Sigaud, Christophe (CERN) ; Soos, Csaba (CERN) et al.
Silicon photonics (SiPh) shows considerable potential as a radiation-hard technology for building the optical data transmission links for future high-energy physics (HEP) experiments at CERN. Optical modulators are a key component of optical links, which will need to withstand radiation doses in excess of 10 MGy. [...]
2022 - 6 p. - Published in : IEEE Trans. Nucl. Sci. 69 (2022) 1521-1526 Fulltext: PDF;
3.
The Characterization of Optical Fibers for Distributed Cryogenic Temperature Monitoring / Marcon, Leonardo (CERN ; U. Padua (main)) ; Chiuchiolo, Antonella (Darmstadt, GSI) ; Castaldo, Bernardo (CERN) ; Bajas, Hugues (CERN) ; Galtarossa, Andrea (U. Padua (main)) ; Bajko, Marta (CERN) ; Palmieri, Luca (U. Padua (main))
Thanks to their characteristics, optical fiber sensors are an ideal solution for sensing applications at cryogenic temperatures, such as the monitoring of superconducting devices. Their applicability at such temperatures, however, is not immediate as optical fibers exhibit a non-linear thermal response which becomes rapidly negligible below 50 K. [...]
2022 - 13 p. - Published in : Sensors 22 (2022) 4009 Fulltext: PDF;

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5 Marcon, L
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