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B L Swinkels - One of the best experts on this subject based on the ideXlab platform.
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new algorithm for the guided lock Technique for a high finesse optical cavity
Astroparticle Physics, 2020Co-Authors: D Bersanetti, Casanueva J Diaz, Annalisa Allocca, H Heitmann, D Hoak, M Mantovani, P Ruggi, B L SwinkelsAbstract:Abstract A known criticality of optical cavities such as Fabry–Perot resonant cavities is the presence of non-Linear effects in the build-up of the laser fields inside the cavity itself, which can spoil the characteristics of the error signal used to control the cavity length, usually obtained with the Pound–Drever–Hall phase modulation–demodulation Technique. The non-Linear effects are primarily caused by high cavity speeds prior to acquiring longitudinal control of the cavity (or “lock”), and they are due to the frequency fluctuations of the laser and to the residual seismic motion affecting the system; such effects are amplified with the increasing of the Finesse of the cavity. In order to overcome this limitation, the cavity speed is effectively slowed down before engaging the lock using a non-Linear Technique, known as “Guided Lock”; here an optimized version of the algorithm will be presented, which relies on a better estimation of the cavity speed based only on optical signals. The application of this Technique to the high-Finesse Fabry–Perot arm cavities of the Advanced Virgo gravitational wave detector will be described. The novel algorithm was applied for the lock acquisition of the Advanced Virgo detector during the O2 Observing Run, in August 2017; the improved algorithm, by dynamically measuring the cavity speed, allowed to implement a predictive capability in slowing down the mirrors, thus improving the efficiency of the lock acquisition procedure for the arm cavities.
D Bersanetti - One of the best experts on this subject based on the ideXlab platform.
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new algorithm for the guided lock Technique for a high finesse optical cavity
Astroparticle Physics, 2020Co-Authors: D Bersanetti, Casanueva J Diaz, Annalisa Allocca, H Heitmann, D Hoak, M Mantovani, P Ruggi, B L SwinkelsAbstract:Abstract A known criticality of optical cavities such as Fabry–Perot resonant cavities is the presence of non-Linear effects in the build-up of the laser fields inside the cavity itself, which can spoil the characteristics of the error signal used to control the cavity length, usually obtained with the Pound–Drever–Hall phase modulation–demodulation Technique. The non-Linear effects are primarily caused by high cavity speeds prior to acquiring longitudinal control of the cavity (or “lock”), and they are due to the frequency fluctuations of the laser and to the residual seismic motion affecting the system; such effects are amplified with the increasing of the Finesse of the cavity. In order to overcome this limitation, the cavity speed is effectively slowed down before engaging the lock using a non-Linear Technique, known as “Guided Lock”; here an optimized version of the algorithm will be presented, which relies on a better estimation of the cavity speed based only on optical signals. The application of this Technique to the high-Finesse Fabry–Perot arm cavities of the Advanced Virgo gravitational wave detector will be described. The novel algorithm was applied for the lock acquisition of the Advanced Virgo detector during the O2 Observing Run, in August 2017; the improved algorithm, by dynamically measuring the cavity speed, allowed to implement a predictive capability in slowing down the mirrors, thus improving the efficiency of the lock acquisition procedure for the arm cavities.
Gallina Toschi Tullia - One of the best experts on this subject based on the ideXlab platform.
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Flash Gas Chromatography in Tandem with Chemometrics: A Rapid Screening Tool for Quality Grades of Virgin Olive Oils
'Japanese Society of Applied Entomology & Zoology', 2020Co-Authors: Barbieri Sara, Cevoli Chiara, Bendini Alessandra, Quintanilla-casas Beatriz, García-gonzález, Diego L., Gallina Toschi TulliaAbstract:11 Páginas.-- 3 Tablas.-- 2 FigurasThis research aims to develop a classification model based on untargeted elaboration of volatile fraction fingerprints of virgin olive oils (n = 331) analyzed by flash gas chromatography to predict the commercial category of samples (extra virgin olive oil, EVOO; virgin olive oil, VOO; lampante olive oil, LOO). The raw data related to volatile profiles were considered as independent variables, while the quality grades provided by sensory assessment were defined as a reference parameter. This data matrix was elaborated using the Linear Technique partial least squares-discriminant analysis (PLS-DA), applying, in sequence, two sequential classification models with two categories (EVOO vs. no-EVOO followed by VOO vs. LOO and LOO vs. no-LOO followed by VOO vs. EVOO). The results from this large set of samples provide satisfactory percentages of correctly classified samples, ranging from 72% to 85%, in external validation. This confirms the reliability of this approach in rapid screening of quality grades and that it represents a valid solution for supporting sensory panels, increasing the efficiency of the controls, and also applicable to the industrial sector.This work is supported by the Horizon 2020 European Research project OLEUM “Advanced solutions for assuring the authenticity and quality of olive oil at a global scale”, which received funding from the European Commission within the Horizon 2020 Programme (2014–2020), grant agreement No. 635690.Peer reviewe
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OLEUM project. Rapid screening tool of quality grades of virgin olive oils. FGC in tandem with chemometrics
Università di Bologna, 2020Co-Authors: Barbieri Sara, Cevoli Chiara, Bendini Alessandra, Quintanilla-casas Beatriz, García-gonzález, Diego Luis, Gallina Toschi TulliaAbstract:This data set contains the underlying data of the scientific publication: Barbieri S. et al., 2020. FGC in tandem with chemometrics: a rapid screening tool of quality grades of virgin olive oils. This publication will be submitted to a scientific journal. This research aims to develop a classification model based on an untargeted elaboration of volatile fraction fingerprints of virgin olive oils (n=331) analyzed by Flash Gas-Chromatography in order to predict the commercial category of samples (extra virgin olive oil, EVOO; virgin olive oil, VOO; lampante olive oil, LOO). The raw data related to volatile profiles were considered as independent variables, while the quality grades provided by the sensory assessment were defined as reference parameter. This data matrix was elaborated using a Linear Technique, Partial Least Squares-Discriminant Analysis (PLS-DA), applying, in sequence, two classification models with two categories (EVOO vs noEVOO followed by VOO vs LOO and LOO vs noLOO followed by VOO vs EVOO). Results from this large set of samples provide satisfactory results in terms of percentages of correctly classified samples, ranging from 72 to 85%, in external validation. This confirms the reliability of this approach as rapid screening of quality grades and that it represents a solution for supporting the sensory panels, increasing the efficiency of the controls, applicable also to the industrial sector. This data set contains the raw data obtained from the analysis of all the sample by Flash Gas-Chromatography and used for the building of the PLS-DA data matrix
P Ruggi - One of the best experts on this subject based on the ideXlab platform.
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new algorithm for the guided lock Technique for a high finesse optical cavity
Astroparticle Physics, 2020Co-Authors: D Bersanetti, Casanueva J Diaz, Annalisa Allocca, H Heitmann, D Hoak, M Mantovani, P Ruggi, B L SwinkelsAbstract:Abstract A known criticality of optical cavities such as Fabry–Perot resonant cavities is the presence of non-Linear effects in the build-up of the laser fields inside the cavity itself, which can spoil the characteristics of the error signal used to control the cavity length, usually obtained with the Pound–Drever–Hall phase modulation–demodulation Technique. The non-Linear effects are primarily caused by high cavity speeds prior to acquiring longitudinal control of the cavity (or “lock”), and they are due to the frequency fluctuations of the laser and to the residual seismic motion affecting the system; such effects are amplified with the increasing of the Finesse of the cavity. In order to overcome this limitation, the cavity speed is effectively slowed down before engaging the lock using a non-Linear Technique, known as “Guided Lock”; here an optimized version of the algorithm will be presented, which relies on a better estimation of the cavity speed based only on optical signals. The application of this Technique to the high-Finesse Fabry–Perot arm cavities of the Advanced Virgo gravitational wave detector will be described. The novel algorithm was applied for the lock acquisition of the Advanced Virgo detector during the O2 Observing Run, in August 2017; the improved algorithm, by dynamically measuring the cavity speed, allowed to implement a predictive capability in slowing down the mirrors, thus improving the efficiency of the lock acquisition procedure for the arm cavities.
M Mantovani - One of the best experts on this subject based on the ideXlab platform.
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new algorithm for the guided lock Technique for a high finesse optical cavity
Astroparticle Physics, 2020Co-Authors: D Bersanetti, Casanueva J Diaz, Annalisa Allocca, H Heitmann, D Hoak, M Mantovani, P Ruggi, B L SwinkelsAbstract:Abstract A known criticality of optical cavities such as Fabry–Perot resonant cavities is the presence of non-Linear effects in the build-up of the laser fields inside the cavity itself, which can spoil the characteristics of the error signal used to control the cavity length, usually obtained with the Pound–Drever–Hall phase modulation–demodulation Technique. The non-Linear effects are primarily caused by high cavity speeds prior to acquiring longitudinal control of the cavity (or “lock”), and they are due to the frequency fluctuations of the laser and to the residual seismic motion affecting the system; such effects are amplified with the increasing of the Finesse of the cavity. In order to overcome this limitation, the cavity speed is effectively slowed down before engaging the lock using a non-Linear Technique, known as “Guided Lock”; here an optimized version of the algorithm will be presented, which relies on a better estimation of the cavity speed based only on optical signals. The application of this Technique to the high-Finesse Fabry–Perot arm cavities of the Advanced Virgo gravitational wave detector will be described. The novel algorithm was applied for the lock acquisition of the Advanced Virgo detector during the O2 Observing Run, in August 2017; the improved algorithm, by dynamically measuring the cavity speed, allowed to implement a predictive capability in slowing down the mirrors, thus improving the efficiency of the lock acquisition procedure for the arm cavities.