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201. Power Systems Model Developments for Power Quality Monitoring: Application to Fundamental Frequency and Unbalance Estimation

Author

Phan, Anh Tuan, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Université de Haute Alsace, and Patrice Wira

Subjects
fundament frequency estimation, [SPI.NRJ]Engineering Sciences [physics]/Electric power, unbalanced power systems, state space, power distribution, power quality, voltage symmetrical components, filtre de Kalman, distribution de l’énergie électrique, online estimation, estimation en ligne, estimation de la fréquence fondamentale, modèle de système électrique, power system model, système électrique déséquilibré, electrical disturbances, Kalman filter, qualité de l’énergie électrique, Perturbation électrique, composantes symétriques de tension, espace d’état, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

This thesis investigates power system models and signal processing methods for estimating power quality parameters of electrical distribution systems. The fundamental frequency is supposed to be a constant but varies continuously according to the demand, to available power, to renewable energy generation and to nasty synchronization of some devices. Moreover, the power absorbed by loads or produced by sources is generally different from one phase to the other one. Identifying the symmetrical components is therefore an efficient way to quantify the imbalance between the phases of a grid. A first state‐space representation is developed by supposing the fundamental frequency to be known or to be calculated by another estimator. In return, it provides other parameters and characteristics from the power system. Another original state‐space model is introduced which does not require the fundamental frequency. Here, one state variable is a function of the frequency which can thus be deduced. Furthermore this new state‐space model is perfectly are able to represent a three‐phase power system in both balanced and unbalanced conditions. The advantage of the proposed state‐space representation is that it gives directly access to physical parameters of the system, like the frequency and the amplitude and phase values of the voltage symmetrical components. Power systems parameters can thus be estimated in real‐time by using the new statespace with an online estimation process like an Extended Kalman Filter. The methods have been implemented and validated through various tests respecting real technical constraints and various severe operating conditions.; Cette thèse étudie des modèles des systèmes électriques et des méthodes de traitement du signal pour estimer les paramètres représentant la qualité de l’énergie dans les réseaux électriques. La fréquence fondamentale est censée être une constante mais elle varie en permanence selon l’énergie disponible et demandée, selon la production d’énergie renouvelable et les mauvaises synchronisations de certains équipements. De plus, la puissance absorbée et produite est différente d’une phase à l’autre. Identifier les composantes symétriques de tension est un moyen pertinent pour quantifier le déséquilibre entre les phases. Un premier modèle d’espace d’état est proposé, il considère la fréquence fondamentale comme obtenue par un autre estimateur et fournit en échange d’autres paramètres caractérisant le système électrique. Un second modèle d’état‐espace est introduit, il ne nécessite aucune connaissance de la fréquence fondamentale. Une de ses variables d’état est directement reliée à la fréquence et permet donc de la déduire. En outre, ce nouvel espace d’état est parfaitement capable de représenter des systèmes électriques équilibrés et non équilibrés. L’avantage de l’espace d’état proposé réside dans le fait qu’il permet d’estimer directement les paramètres physiques du système électrique, tels que la fréquence, l’amplitude et la phase des composantes symétriques en tension. Les paramètres des systèmes électriques peuvent être estimés en temps réel en utilisant le nouvel espace d’état et un Filtre de Kalman Etendu. Les méthodes ont été mises en oeuvre et validées par le biais de différents tests proches des contraintes techniques et des conditions d’utilisation réelles.

Published
2016

202. Dynamic sensitivity analysis of a suspension model

Author

Hamza, Sabra, Anstett-Collin, Floriane, Li, Qiaochu, Denis-Vidal, Lilianne, Birouche, Abderazik, Basset, Michel, Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Mathématiques Appliquées de Compiègne (LMAC), Université de Technologie de Compiègne (UTC), Modélisation, Intelligence, Processus et Système (MIPS), and Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse

Subjects
0209 industrial biotechnology, 020901 industrial engineering & automation, 020209 energy, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience; A sensitivity analysis of a suspension model has been performed in order to highlight the most influential parameters on the sprung mass displacement. To analyse this dynamical model, a new global and bounded dynamic method is investigated. This method, based on the interval analysis, consists in determining lower and upper bounds including the dynamic sensitivity indices. It requires only the knowledge of the parameter variation ranges and not the joint probability density function of the parameters which is hard to estimate. The advantage of the proposed approach is that it takes into account the recursive behavior of the system dynamics.

Published
2016

203. Distinguishing surgical behavior by sequential pattern discovery

Author

Arnaud Huaulm, Sandrine Voros, Alexandre Moreau-Gaudry, Germain Forestier, Pierre Jannin, Laurent Riffaud, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Gestes Medico-chirurgicaux Assistés par Ordinateur (TIMC-IMAG-GMCAO), Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525 (TIMC-IMAG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Service de neurochirurgie [Rennes] = Neurosurgery [Rennes], CHU Pontchaillou [Rennes], Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Centre d'Investigation Clinique - Innovation Technologique - INSERM - CHU de Grenoble (CIC-IT Grenoble (CIT803)), Université Grenoble Alpes (UGA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Grenoble, Agence Nationale de la Recherche, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), CHU Grenoble-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), and Huaulmé, Arnaud

Subjects
0301 basic medicine, Models, Anatomic, Risk, Dynamic time warping, Similarity (geometry), Time Factors, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Health Informatics, Machine learning, computer.software_genre, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Surgical Process Model, Surgical skills, Medicine, Cluster Analysis, Humans, Pattern Discovery, Cluster analysis, Simulation, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM], Structure (mathematical logic), business.industry, Surgical training, Computer Science Applications, 030104 developmental biology, Surgical Procedure, General Surgery, Surgical Procedures, Operative, Metric (mathematics), Artificial intelligence, Clinical Competence, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], business, computer, Surgical Skills
Abstract

Display Omitted A new approach for distinguishing surgical behaviors based on pattern discovery.A new metric for defining the similarity between surgical processes.Classification of surgical processes according to sites, expertises and surgeons.This approach outperformed the results of the compared state-of-the-art method. ObjectiveEach surgical procedure is unique due to patients and also surgeons particularities. In this study, we propose a new approach to distinguish surgical behaviors between surgical sites, levels of expertise and individual surgeons thanks to a pattern discovery method. MethodsThe developed approach aims to distinguish surgical behaviors based on shared longest frequent sequential patterns between surgical process models. To allow clustering, we propose a new metric called SLFSP. The approach is validated by comparison with a clustering method using Dynamic Time Warping as a metric to characterize the similarity between surgical process models. ResultsOur method outperformed the existing approach. It was able to make a perfect distinction between surgical sites (accuracy of 100%). We reached an accuracy superior to 90% and 85% for distinguishing levels of expertise and individual surgeons. ConclusionClustering based on shared longest frequent sequential patterns outperformed the previous study based on time analysis. SignificanceThe proposed method shows the feasibility of comparing surgical process models, not only by their duration but also by their structure of activities. Furthermore, patterns may show risky behaviors, which could be an interesting information for surgical training to prevent adverse events.

Published
2016

204. An Android based new German eID solution for policy making processes

Author

Mateusz Khalil, Simon Hohberg, Yacine Rebahi, Pascal Lorenz, Fraunhofer Institute for Open Communication Systems (Fraunhofer FOKUS), Fraunhofer (Fraunhofer-Gesellschaft), Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, and Publica

Subjects
Computer Networks and Communications, Policy making, Computer science, media_common.quotation_subject, Internet privacy, NFC, 02 engineering and technology, security, Computer security, computer.software_genre, privacy, German, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Android, Voting, eID cards, 0202 electrical engineering, electronic engineering, information engineering, Architecture, Android (operating system), media_common, anonymity, UbiPOL, business.industry, Privacy protection, 020206 networking & telecommunications, 020207 software engineering, 16. Peace & justice, language.human_language, language, Electronic identity, business, mParticipation, computer, Information Systems, Anonymity
Abstract

In the current paper, we propose a novel mobile-based architecture that enforces security and privacy protection in the context of mParticipation. This architecture enables the citizens to cast their opinions anonymously and without limitation in time and space. It also removes the burden of preceding registration before any voting process. As the new electronic identity (eID) Cards are replacing the conventional identity cards in most European countries, we also discussed, in this paper, how the new German eID cards can be utilized for mobile participation. The use of the eID cards offers better flexibility and stronger security. A prototype implementation of this architecture is also described in this document, and the related performance is discussed. Copyright © 2016 John Wiley & Sons, Ltd.

Published
2016

205. Modeling, Identification and Control of a Guided Projectile in a Wind Tunnel

Author

Strub, Guillaume, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Université de Haute Alsace - Mulhouse, and Michel Basset

Subjects
[SPI.OTHER]Engineering Sciences [physics]/Other, Commande H∞ multi-objectifs, Commande robuste, Gain scheduling, Robust control, Identifiabilité, µ-analysis, Mécanique du vol, Systèmes temps-réel, Flight mechanics, µ-analyse, Identifiability, Séquencement de gains, Multi-objective H∞ control, Real-time systems
Abstract

This work presents a novel methodology for flight control law design and evaluation, using a functional prototype installed in a wind tunnel by the means of a support structure allowing multiple rotational degrees of freedom. This setup provides an environment allowing experimental characterization of the munition’s behavior, as well as for flight control law evaluation in realistic conditions. The design and validation of pitch and yaw autopilots for a fin-stabilized, canard-guided projectile is investigated, at fixed and variable airspeeds. Modeling such a system leads to a nonlinear model depending on numerous flight conditions such as the airspeed and incidence angles. Linearization-based gain scheduling techniques are widely employed in the industry for controlling this class of systems. To this end, the system is represented with a family of linear models whose parameters are directly estimated from experimentally collected data. Observation of the projectile’s behavior for different operating points indicates the airspeed can be considered as the only scheduling variable. Controller synthesis is performed using a multi-objective, fixed-order, fixed-structure H∞ technique in order to guarantee the stability and robustness of the closed-loop against operating point uncertainty. The obtained control laws are validated with robustness analysis techniques and are then implemented on the experimental setup, where wind-tunnel tests results correlate with numerical simulations and conform to the design specifications.; Cette thèse présente une méthodologie de conception et d’évaluation de lois de commande pour projectiles guidés, au moyen d’un prototype placé dans une soufflerie via un support autorisant plusieurs degrés de liberté en rotation. Ce dispositif procure un environnement permettant à la fois de caractériser expérimentalement le comportement de la munition et d’évaluer les performances des lois de commande dans des conditions réalistes, et est mis en œuvre pour l’étude d’autopilotes de tangage et de lacet, à vitesse fixe et à vitesse variable, pour un prototype de projectile empenné piloté par canards. La modélisation d’un tel système aboutit à un modèle non-linéaire dépendant de nombreuses conditions de vol telles que la vitesse et des angles d’incidence. Les méthodes de séquencement de gain basées sur des linéarisations d’un modèle non-linéaire sont couramment employées dans l’industrie pour la commande de ce type de systèmes. A cette fin, le système est représenté au moyen d’une famille de modèles linéaires dont les paramètres sont directement estimés à partir de données recueillies sur le dispositif expérimental. L’observation du comportement à différents points de vol permet de considérer la vitesse de l’air comme unique variable de séquencement. La synthèse des différents contrôleurs est réalisée au moyen d’une méthode H∞ multi-objectifs à ordre et structure fixes, afin de garantir la stabilité et la robustesse du système vis-à-vis d’incertitudes liées à la variation du point de fonctionnement. Ces lois de commande sont alors validées au moyen d’analyses de robustesse, puis par leur implémentation sur le dispositif expérimental. Les résultats obtenus lors d’essais en soufflerie correspondent aux simulations numériques et sont conformes aux spécifications attendues.

Published
2016

206. Digital Holographic Microscopy With High Numerical Aperture: Wide z Range Reconstruction

Author

Michel Gross, Gilles Tessier, Dario Donnarumma, Daniel Alexandre, Nicolas Verrier, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Laboratoire Charles Coulomb (L2C), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Neurophotonique (UMR 8250), Université Paris Descartes - Paris 5 (UPD5)-Centre National de la Recherche Scientifique (CNRS), Université Paris Descartes - Paris 5 (UPD5), Université Sorbonne Paris Cité (USPC), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Ecole Nationale Supérieure d'Ingénieur Sud Alsace, and Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)

Subjects
Physics, Wavefront, Afocal photography, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], business.industry, Holography, Physics::Optics, 02 engineering and technology, 021001 nanoscience & nanotechnology, 01 natural sciences, law.invention, 010309 optics, Optics, Computer Science::Graphics, law, 0103 physical sciences, Microscopy, Range (statistics), Digital holographic microscopy, 0210 nano-technology, business, Digital holography, Beam splitter
Abstract

International audience; A holographic microscopy algorithm is proposed enabling to deal with high numerical aperture holograms. Hologram reconstruction kernel performs under afocal conditions , which allows keeping the full NA over wide defocus range.

Published
2016

207. Performance optimization of synchronous reluctance machine : approaches by the design and by control

Author

Truong, Phuoc Hoa, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Université de Haute Alsace - Mulhouse, and Jean Mercklé

Subjects
[SPI.OTHER]Engineering Sciences [physics]/Other, Neural Networks, Synchronous Reluctance Machine (SynRM), Torque Ripple, Optimal Stator Currents, Saturation, Cross Coupling, Méthode Eléments Finis, Courants Optimaux Statoriques, Ondulations du Couple, Finite Element Method, Réseaux de Neurones, Machine Synchrone à Réluctance Variable (MSRV), Effet Croisée
Abstract

The main objective of our work is to develop the methods for performance optimization of the SynRM in terms of the design and control. The first part is devoted to control of the SynRM taking into account the saturation, cross coupling and iron losses. Two strategies control to improve the performances of the machine in steady-state are presented: optimal efficiency control and maximum torque per ampere control. The second part of this work focuses on the control of the non-sinusoidal SynRM to reduce torque ripple. Optimal stator currents were obtained with the objectives: a constant electromagnetic torque and minimum ohmic losses. An original formula was presented in the case where the homopolar current is considered. The torque and speed control based on artificial neural networks are then proposed to obtain optimal currents online in real time. The third part deals with the design optimization of SynRM by finite element method. With JMAG software, the barriers of the rotor SynRM were optimized to maximize the average torque, power factor and efficiency of the machine. Finally, all the approaches based on neural networks have been validated by experimental tests. Moreover, the comparisons with conventional methods demonstrate the validity of the proposed methods.; L'objectif principal de nos travaux consiste à développer des méthodes d’optimisation des performances de la MSRV sur le plan de la conception et de la commande. La première partie est consacrée à la commande de la MSRV avec prise en compte de la saturation, de l'effet croisé et des pertes-fer. Deux stratégies de commande permettant d’améliorer les performances de la machine en régime permanent sont présentées: commande à rendement optimal et commande à couple maximum par ampère. La deuxième partie de ce travail porte sur la commande de la MSRV en vue de réduire les ondulations de couple. L’optimisation des courants statoriques a été obtenue selon deux critères : un couple électromagnétique constant et des pertes par effet Joule minimales. Une formule originale a été présentée dans le cas où le courant homopolaire est pris en compte. Des schémas de commande neuronale en couple et en vitesse sont ensuite proposés. L’apprentissage, réalisé en ligne, fait que cette proposition est tout à fait adaptée aux applications en temps réel. La troisième partie traite de la conception au moyen de la méthode de calcul numérique par élément finis. Grâce au logiciel JMAG, les barrières du flux au rotor de la MSRV ont été optimisées permettant d’augmenter le couple moyen, le facteur de puissance et le rendement de la machine. Enfin, toutes les approches neuromimétiques ont été validées par de tests expérimentaux. De plus, des comparaisons avec les méthodes de commande classique démontrent la validité des méthodes proposées.

Published
2016

208. A multi-model with control increments for a nonlinear passive air-conditioning unit modeling

Author

Gilles Millérioux, R. Tawegoum, J. Guillet, Y. Benkacem, R. Riadi, Unité de Recherche Environnement Physique de la plante Horticole (EPHOR), Université d'Angers (UA)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), and Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)

Subjects
0209 industrial biotechnology, Nonlinear system identification, business.industry, MIMO, General Engineering, 02 engineering and technology, Computer Science Applications, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Nonlinear system, Identification (information), 020901 industrial engineering & automation, Discrete time and continuous time, Artificial Intelligence, Control theory, Air conditioning, 0202 electrical engineering, electronic engineering, information engineering, Range (statistics), Nonlinear system Identification, 020201 artificial intelligence & image processing, Relative humidity, Takagi–Sugeno structure, Air-conditioning unit, business, Physics::Atmospheric and Oceanic Physics, Mathematics
Abstract

The analytical model of a nonlinear passive air-conditioning unit was defined.Pseudo-Random Multi-level Signals used to capture the dynamics and nonlinearities.Control increments included in relative humidity output for accurate prediction.Results with two-level algorithm showed good prediction performance. This paper defines a discrete time dynamic model of a passive air-conditioning unit with respect of environmental conditions, for micro-climate in growth chambers and greenhouses, where temperature and relative humidity evolve and should be controlled independently. As the analytical model developed turned out to be complex, highly nonlinear and difficult to use for control objectives, especially with respect to relative humidity, a Takagi-Sugeno MIMO structure was used to model nonlinearities of the unit. Two structures (a global and two levels) identification algorithms were implemented. Pseudo-Random Multi-level Signals were used as excitation input in order to capture the dynamics and nonlinearities and to cover a wide range of inputs in which the air-conditioning unit will operate. The consequent parts of the relative humidity contained additional inputs composed of the increments values of the control inputs. Identification and validation results using the two levels showed good prediction performance for the temperature and the relative humidity outputs despite their strong coupling.

Published
2016

209. Pitch-Axis Identification for a Guided Projectile Using a Wind-Tunnel-Based Experimental Setup

Author

Simona Dobre, Spilios Theodoulis, Guillaume Strub, Michel Basset, Vincent Gassmann, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Institut franco-allemand de recherches de Saint-Louis (ISL), DGA-Matériaux et nanosciences d'Alsace (FMNGE), and Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
0209 industrial biotechnology, Engineering, 02 engineering and technology, Gimbal, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Flight mechanics, symbols.namesake, 020901 industrial engineering & automation, 0203 mechanical engineering, Control theory, Taylor series, Subsonic and transonic wind tunnel, Electrical and Electronic Engineering, systems identification, Wind tunnel, Aircraft flight mechanics, 020301 aerospace & aeronautics, Projectile, business.industry, Computer Science Applications, Nonlinear system, uncertain systems, Control and Systems Engineering, symbols, Identifiability, guided projectiles, business
Abstract

International audience; This paper details the identification of a pitchaxis model for an 80-mm fin-stabilized canard-guided projectilethrough a hardware-in-the-loop experimental setup. This setup is based on an autonomous functional projectileprototype installed in a subsonic wind tunnel by the means of a three-degree-of-freedom gimbal mount. A nonlinear dynamical model is first derived from flight mechanics principles;then, a linearized model is obtained through Taylorseries expansion. The a priori and a posteriori identifiabilityof the proposed linear model are assessed, and the associatedexperimental input signals are accordingly designed.The model parameters are then estimated using a numericaloptimization procedure, and the associated uncertainty isobtained through a boostrapping method. The results andtheir implication on the projectile flight control design arefinally discussed.

Published
2016

210. A PEM Fuel Cells Control Approach Based on Differential Flatness Theory

Author

Pierluigi Siano, Vincenzo Loia, G. Rigatos, Patrice Wira, Industrial Systems Institute [Patras] (ISI), University of Patras [Greece], Department of Industrial Engineering [Salerno] ( ), Università degli Studi di Salerno (UNISA), Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, and Management & Innovation Systems, University of Salerno

Subjects
0301 basic medicine, 0209 industrial biotechnology, State variable, Flatness (systems theory), Nonlinear control, Differential flatness, Proton exchange membrane fuel cell, 02 engineering and technology, Kalman filter, PEM fuel cells, 03 medical and health sciences, 030104 developmental biology, 020901 industrial engineering & automation, Extended model, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Control theory, Linear form, Disturbances estimator, Differential flatness theory, Global linearization, Kalman filtering, Mathematics
Abstract

International audience; The article presents an approach to nonlinear controlof fuel cells using differential flatness theory and Kalmanfiltering. First, it is proven that the dynamic model of fuelcells is a differentially flat one which means that all itsstate variables and control inputs can be expressed as differentialfunctions of specific stare variables which are theso-called flat outputs of the system. By exploiting the differentialflatness properties of the model its transformation to anequivalent linear form (canonical Brunovsky form) becomespossible. For the latter description of the system’s dynamicsthe design of a state-feedback controller is achieved. Thiscontrol scheme should be also robust to model uncertaintiesand external perturbations. To cope with this problem thestate-space description of the PEM fuel cells is extended byconsidering as additional state variables the derivatives ofthe aggregate disturbance input. Next, a Kalman filter-baseddisturbance observer is applied to the linearized extendedmodel of the fuel cells. This estimation method enables toidentify the disturbance and model uncertainty terms thataffect the system and to introduce a complementary controlelement that compensates for the perturbations’ effects.The efficiency of the proposed control scheme is evaluatedthrough simulation experiments.

Published
2016

211. Optimisation de la durée de vie dans les réseaux de capteurs sans fil sous contraintes de couvertureet de connectivité réseau

Author

Ngom, Diery, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Université de Haute Alsace - Mulhouse, Université Cheikh Anta Diop (Dakar), and Pascal Lorenz

Subjects
Connectivity, Connectivité, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Coverage, Durée de vie du réseau, Réseaux de capteurs sans fil, Couverture, Network lifetime, Wireless sensor networks
Abstract

Since the past two decades, a new technology called Wireless Sensor Network (WSN) which result in a fusion of embedded systems and wireless communications has emerged. A WSN is Ad hoc network composed of many sensors nodes communicating via wireless links and which can be deployed randomly or deterministically over a given interest region. Theses sensors can also collect data from the environment, do local processing and transmit the data to a sink node or Base Station (BS) via multipath routing. Thereby, a wide range of potential applications have been envisioned using WSN such as environmental conditions monitoring, wildlife habitat monitoring, industrial diagnostic, agricultural, improve health care, etc. Nevertheless,WSN are not perfect. Indeed, given their small size, their low cost and their deployment generally in hostile or difficult access areas, sensor nodes have some weaknesses such as: a limited energy, so a network lifetime limited, limited bandwidth, limited computations and communications capabilities, etc. To overcome these limitations, several research issues from were created in recent years, and the main issues focus on the optimization of energy consumption in order to improve the network lifetime. Other important researches focus on issues of coverage areas, placement strategies of sensor nodes and network connectivity. However, most solutions proposed in recent years to resolve these issues do not take into account all these issues that we cited above in resolutions models; while in many WSN applications such as monitoring critical region, wildlife habitat monitoring, agricultural application, a full coverage of the monitoring region and network connectivity are mandatory as well an energy-awareness network lifetime. The objective of this thesis is thus to propose new scheduling mechanisms for optimizing the network lifetime in WSN, while ensuring at any time of the network lifetime a full coverage of the monitored region and network connectivity. To achieve our goals, we have study and done proposal in two axes which are placement strategy of sensor nodes and scheduling mechanism in the MAC layer. For these, we have implemented a Distributed Scheduling Medium Access Control algorithm (DSMAC) based on our placement method. Furthermore, DSMAC enables to cover 100% of the monitored region, to ensure optimal network connectivity and also allows sensors node to save up to 30% of their energy compared to other MAC protocols such as TunableMAC.; Depuis ces deux dernières décennies, une nouvelle technologie sans fil appelée Réseau de Capteur Sans Fil (RCSF) résultant d"une fusion entre les systèmes embarqués et les communications sans fil a vu le jour. Un RCSF ("WSN : Wireless Sensor Network" en Anglais) est un réseau Ad hoc composé d"un grand nombre de nœuds qui sont des micro-capteurs qui peuvent être déployés de façon aléatoire ou déterministe dans une zone d"intérêt donnée. Ces nœuds capteurs sont capables de récolter plusieurs paramètres physiques sur l"environnement qui les entoure, appelé généralement zone de captage (ou zone de surveillance). Ensuite, ils doivent si nécessaire traiter les données capturées et les transmettre à un (ou plusieurs) nœud de collecte appelé station de base, centre de traitement ("sink" en Anglais). Beaucoup de domaines d"applications tels que le contrôle et suivi environnemental, le contrôle de production dans l"industrie, la surveillance de zone, le monitoring de l"habitat, l"agriculture intelligente, etc. sont basés sur les RCSF. Toutefois, les RCSF ne sont pas parfaits. En effet, compte tenu de leur petite taille, leur faible coût et leurs déploiement dans des zones souvent hostiles ou difficiles d"accès, les nœuds capteurs présentent un certain nombre de faiblesses parmi lesquelles une durée de vie du réseau limitée, une bande passante faible, des capacités de capture et de communication réduites, etc. Afin de surmonter ces contraintes des RCSF, plusieurs problématiques de recherche sont nées ces dernières années, et les principales portent sur l"optimisation de la consommation énergétique en vue d"améliorer la durée de vie du réseau. D"autres recherches importantes menées dans le domaine de ces réseaux portent sur les stratégies de placement des nœuds, sur la couverture de zones et sur la connectivité du réseau. Cependant, la plupart des solutions proposées ces dernières années ne prennent pas en compte toutes ces problématiques dans leurs modèles de résolution ; alors que dans beaucoup d"applications des RCSF telles que la surveillance de zone critique, le monitoring de l"habitat, l"agriculture intelligente, il est nécessaire de garantir en même temps une couverture complète de la zone de surveillance, une bonne connectivité du réseau, tout en optimisant au mieux la durée de vie de celui-ci. Le but de cette thèse est donc de proposer de nouveaux mécanismes efficaces pour l"optimisation de la durée de vie dans les RCSF, tout en garantissant, à tout moment de cette durée de vie, une couverture totale de la zone de surveillance, ainsi qu"une bonne connectivité du réseau. Pour atteindre nos objectifs, nous avons étudié et fait des propositions dans deux axes qui sont le placement des nœuds et les mécanismes d"ordonnancement au niveau de la couche MAC. Pour ces derniers, nous avons mis en place un algorithme appelé DSMAC (Distributed Scheduling Medium Acces Control) qui est basé sur notre méthode de placement des nœuds. Par ailleurs, DSMAC permet de couvrir 100% de la zone de surveillance, assure une bonne connectivité du RCSF et permet également aux nœuds capteurs d"économiser jusqu"à 30% de leur énergie comparativement à d"autres protocoles MAC tels que TunableMAC.

Published
2016

212. Electromagnetic design of a disc rotor electric machine as integrated motor-generator for hybrid vehicles

Author

Kremer, Mickaël, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Université de Haute Alsace - Mulhouse, and Jean Mercklé

Subjects
[SPI.OTHER]Engineering Sciences [physics]/Other, Machine à flux axial, Elements finis, Finite elements, Optimisation multi-objectifs, Permanent magnet synchronous machine, Véhicule hybride, Hybrid vehicle, Machine à rotor disque, Machine électrique, Multi-objective optimization, Axial flow machine, Permanent magnet, Electrical machine, Disc rotor machine, Aimant permanent, Machine synchrone à aimant permanents
Abstract

This PhD presents the design of a disc rotor electric machine for the traction of hybrid vehicles. A complete state of the art enables the selection of the internal rotor axial flux machine which is the most suited to this application. Different geometries of the magnetic circuit are successively studied and compared with finite elements simulations. To maximize the efficiency of the machine losses generated in the magnetic circuit are studied. An analytic model on the skin effect in the copper conductors is proposed and validated with finite elements simulations. A second analytic model estimates the eddy current losses in the permanent magnets for every operating point of the machine based on only three finite element simulations enabling an important time-saving. Two dimensioning methods are compared: the manual dimensioning based on a tries/errors method and the multi-objectives optimization. This last method automates the dimensioning and enables a more refined optimization and a strong improvement of the performances. For example, the torque density has been improved by 29% in that case. The designed axial flux machine is compared to a state of the art radial flux machine for hybrid vehicle. This comparison shows the potential of the axial flux machine with an improvement of the torque density by more than 20%. Finally two prototypes have been built and measured to validate the simulations.; Cette thèse présente le dimensionnement d’une machine électrique à rotor disque pour la traction de véhicules hybrides. Un état de l’art complet sur les machines électriques à rotor disque permet de montrer que la machine à flux axial à rotor central est la plus adaptée. Différentes géométries du circuit magnétique sont successivement étudiées et comparées par simulations par éléments finis. Pour maximiser le rendement de la machine, les pertes d’origine électromagnétique sont étudiées. Un modèle analytique des pertes par effet de peau dans les conducteurs de cuivre est proposé et validé par éléments finis. Un second modèle analytique estime les pertes par courant induits dans les aimants permanents pour tous les points de travail de la machine se basant sur uniquement trois simulations par éléments finis permettant ainsi un gain de temps important lors du dimensionnement. Deux méthodes de dimensionnement sont comparées : le dimensionnement manuel par essais/erreurs et l’optimisation multi-objectifs. Cette dernière méthode automatise le dimensionnement et permet une optimisation plus pointue et une forte amélioration des performances. Dans ce cas, la densité de couple a par exemple été augmentée de 29%. La machine à flux axial dimensionnée est comparée avec une machine à flux radial pour véhicules hybrides. Cette comparaison révèle le potentiel de la machine à flux axial avec notamment une densité de couple augmentée de plus de 20%. Enfin, deux prototypes ont été construits et mesurés pour valider les simulations.

Published
2016

213. Adaptative optics with spatial light modulator for microscopy and holography

Author

Gemayel, Pierre, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Université de Haute Alsace - Mulhouse, and Pierre Ambs

Subjects
LCD, Modulateur spatiaux de lumière, Holographie, [SPI.OTHER]Engineering Sciences [physics]/Other, Microscopy, Algorithme itératif, Holography, Cross-talk, Spatial light modulator, Iterative algorithm, Optique adaptative, Phase retreival, Microscopie, Adaptive optics, Crosstalk
Abstract

Since the 50s, recovering the phase information of a diffracted beam has a major interest in several fields such as microscopy, astronomy and many others. Generally, the solutions fall into two broad categories: interferometric methods and iterative methods based on beam propagation. The advantage of the latter is that they are less sensitive to noise, and their experimental implementation is simpler. Also, the progress in computer technologies as well in digital imaging devices makes the application of this approach easier and more interesting. However, even if the effectiveness of these methods has been demonstrated in several fields, their use remained limited because of certain requirements on the experimental conditions and the non-convergence of their algorithm to a single solution in many cases. This is even more true for the so-called "complex objects", having an amplitude and a phase, which can greatly reduce their field of application. To overcome the convergence problems and improve the robustness of these methods, many experimental strategies have been employed. They are all based on the same principle, which consists of introducing new well-known constraints in the object plane. This increases the number of acquired spectrum, and therefore diversifies the sources of information about the starting object, which will help the iterative algorithm to converge more quickly towards the final solution. As examples of such experimental strategies, one can record several spectra from different areas of the object, or modulate the wavelength of the incident beam, or also acquire the spectrums across two or more parallel planes connected through Fresnel or Fourier transform.In this context, the present work aims to experimentally demonstrate a technique known as SSPR (Spread Spectrum Phase Retrieval), proposed in 2007 by Zhang, while modifying it in order to make it more flexible. The idea is to introduce, using a liquid crystal spatial light modulator M strong phase modulation into the object field, then record in the Fourier plane the M corresponding spectrums. These M acquisitions will then be used in an iterative algorithm what will allow us to recover the object wavefront by simulating the propagation of the light between spatial and frequency spaces. The first part of this thesis includes a complete study on spatial light modulators; in order to select which one will be best suited for our application. Once liquid crystal spatial light modulators are selected, we present their technical characteristics, as well as the calibration tests needed to ensure their linear and optimal functioning. Then we show several possible applications with this type of component, in various scientific fields, like holography, microscopy, adaptive optics and interferometric methods to reconstruct the phase of a beam.In the second part, we focus our work around the SSPR iterative method. We will show how to make the application of this method simpler by using a liquid crystal spatial light modulator, and by working in Fourier plane instead of Fresnel plane. However, after applying SSPR we have noticed that the quality of experimental results is very inferior to the quality of simulation results. Therefore, a detailed study of the noise sources is conducted. Each of these noise sources adds its own contribution, yet modulator cross-talk remains the factor that deteriorates the most the quality of reconstruction. In fact liquid crystal spatial light modulators are known to have a strong cross-talk between their pixels commonly recognized as fringing field effect. As the pixels are micrometric, each addressed one affects its neighbors, and thus, the phase retardation obtained from a pixel will not be uniform over its entire surface. This will result in a blurring effect of the desired sharp edge between the pixels; therefore, the real displayed phase map will be very different from the addressed one. [...]; Depuis les années 50, la récupération de la phase d’un faisceau optique diffracté par un objet quelconque, est un sujet important dans plusieurs domaines scientifiques, comme la microscopie, l’astronomie et bien d’autres. Généralement, les méthodes qui le permettent se divisent en deux grandes catégories : les méthodes interférométriques et les méthodes itératives basées sur la propagation du faisceau. L’intérêt de ces dernières, réside dans le fait qu’elles sont moins sensibles au bruit, et leur implémentation expérimentale est plus simple. Aussi, le développement des techniques informatiques a rendu cette approche plus rapide et plus intéressante. Cependant, même si l’efficacité de ces méthodes a été démontrée dans plusieurs domaines, leur utilisation est restée limitée à cause de certaines exigences sur les conditions expérimentales, et à la non-convergence de leur algorithme vers une solution unique dans un grand nombre de cas. Ceci est encore plus vrai pour les objets dits "objets complexes", possédant une amplitude et une phase, ce qui réduit fortement leur champ d’application. Afin de surmonter ces problèmes de convergence, diverses stratégies expérimentales ont été développées. Elles ont toutes comme principe d’introduire de nouvelles contraintes bien connues dans le plan de l’objet. Cela permet d’augmenter le nombre de spectres acquis, et donc accroitre et diversifier les sources d’informations sur l’objet de base, ce qui va aider l’algorithme itératif à converger plus rapidement vers une solution finale et unique. Comme exemple de ces stratégies expérimentales, on peut acquérir plusieurs spectres provenant de différentes zones de l’objet, ou moduler la longueur d’onde du faisceau incident, ou même enregistrer les spectres dans des plans parallèles, connectés entre eux par la transformée de Fresnel. Dans ce contexte, le présent travail vise à démontrer expérimentalement une technique connue sous SSPR (Spread Spectrum Phase Retrieval), proposé en 2007 par Zhang, tout en lui introduisant un certain nombre de modifications, afin de la rendre plus pratique. L’idée consiste à moduler le front d’onde de l’objet par M phases aléatoires, générées avec un modulateur spatial de lumière à base de cristaux liquides (LC-SLM), puis enregistrer dans le plan de Fourier les M spectres correspondants. Ces M spectres seront ensuite utilisés dans un algorithme itératif permettant de remonter au front d’onde de l’objet initial, en simulant la propagation du front d’onde entre les deux espaces, spatial et fréquentiel.La première partie de cette thèse comporte une étude détaillée sur les modulateurs spatiaux de lumière, afin de pouvoir choisir le mieux adapté à notre application. Une fois que le modulateur à base de cristaux liquides (LC-SLM) est sélectionné, on présentera ses caractéristiques techniques, ainsi que les tests et les étapes de calibrations nécessaires pour assurer son fonctionnement linéaire et optimal. Ensuite, on montrera plusieurs types d’applications possibles avec ce composant, et dans divers domaines scientifiques, comme l’holographie, la microscopie, l’optique adaptative ainsi que les méthodes interférométriques permettant de reconstruire la phase d’un faisceau lumineux. Dans la deuxième grande partie, on concentre notre travail autour de la méthode itérative SSPR. On montrera comment on peut rendre l’application de cette méthode plus simple en utilisant un modulateur spatial de lumière à base de cristaux liquides, et en travaillant dans le plan de Fourier à la place du plan de Fresnel. Cependant, après avoir appliqué expérimentalement cette méthode, on remarque que les résultats obtenus sont très mauvais par rapport aux résultats des simulations. On effectue donc, une étude détaillée concernant les sources de bruits pouvant être responsable de la dégradation de la qualité des reconstructions obtenues. [...]

Published
2016

214. Detection of lobular structures in normal breast tissue

Author

Germain Forestier, Benoît Naegel, Nadine S. Schaadt, Cédric Wemmert, Ralf Schönmeyer, Gregory Apou, Friedrich Feuerhake, Anne Grote, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Institute for Pathology, Hannover Medical School, Modélisation, Intelligence, Processus et Système (MIPS), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Definiens AG, Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse

Subjects
Computer science, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Health Informatics, 02 engineering and technology, Convolutional neural network, 03 medical and health sciences, 0302 clinical medicine, Immune infiltration, 0202 electrical engineering, electronic engineering, information engineering, Image Processing, Computer-Assisted, Humans, Computer vision, Breast, Analysis method, business.industry, Tissue level, Pattern recognition, Immunohistochemistry, Computer Science Applications, 030220 oncology & carcinogenesis, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Whole slide image, 020201 artificial intelligence & image processing, Female, Artificial intelligence, business, Human breast, Normal breast
Abstract

Background: Ongoing research into inflammatory conditions raises an increasing need to evaluate immune cells in histological sections in biologically relevant regions of interest (ROIs). Herein, we compare different approaches to automatically detect lobular structures in human normal breast tissue in digitized whole slide images (WSIs). This automation is required to perform objective and consistent quantitative studies on large data sets.Methods: In normal breast tissue from nine healthy patients immunohistochemically stained for different markers, we evaluated and compared three different image analysis methods to automatically detect lobular structures in WSIs: (1) a bottom-up approach using the cell-based data for subsequent tissue level classification, (2) a top-down method starting with texture classification at tissue level analysis of cell densities in specific ROIs, and (3) a direct texture classification using deep learning technology.Results: All three methods result in comparable overall quality allowing automated detection of lobular structures with minor advantage in sensitivity (approach 3), specificity (approach 2), or processing time (approach 1). Combining the outputs of the approaches further improved the precision.Conclusions: Different approaches of automated ROI detection are feasible and should be selected according to the individual needs of biomarker research. Additionally, detected ROIs could be used as a basis for quantification of immune infiltration in lobular structures. HighlightsThe detection of human breast lobular structures in whole slide images can be automated.Three analysis methods (bottom-up, top-down, CNN) are evaluated and compared.All three methods perform well according to quantitative and visual assessments.Precision can be improved by a combination scheme (pixel-level majority voting).

Published
2016

215. Highly Oriented Nanofibers Produced by Electrospinning

Author

SHAH HOSSEINI, Neda, Khenoussi, Nabyl, Schacher, Laurence, Adolphe, Dominique, Simon, Bertrand, hekmati, AMIR, Hietter, Yann, BEYER, Jean, Laboratoire de Physique et Mécanique Textiles (LPMT), ENSITM-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Modélisation, Intelligence, Processus et Système (MIPS), and Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse

Subjects
[SPI.MAT]Engineering Sciences [physics]/Materials
Abstract

La communication « Highly Oriented Nanofibers Produced by Electrospinning » a été présentée sous forme de POSTER à la Fiber Society Spring 2016 Conference (Mulhouse 2016); International audience; This project consists of production of Polyamide-6 (PA-6) nanofiber with patterned structure by using novel collectors in electrospinning. These collectors (under patent process) will allow producing both oriented and non-oriented nanofibers in one scaffold for biomedical applications. These static collectors make it possible to have different nanofibers' structure and produce tunable oriented electrospun nanofibers scaffolds.

Published
2016

216. Semi-supervised learning using multiple clusterings with limited labeled data

Author

Cédric Wemmert, Germain Forestier, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, and Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
semi-supervised learning, Information Systems and Management, Computer science, 02 engineering and technology, Semi-supervised learning, Machine learning, computer.software_genre, Theoretical Computer Science, remote sensing, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Leverage (statistics), [INFO]Computer Science [cs], Cluster analysis, business.industry, pattern recognition, 020206 networking & telecommunications, Pattern recognition, Computer Science Applications, ComputingMethodologies_PATTERNRECOGNITION, classification, Control and Systems Engineering, Unsupervised learning, Labeled data, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Software
Abstract

International audience; Supervised classification consists in learning a predictive model using a set of labeled samples. It is accepted that predictive models accuracy usually increases as more labeled samples are available. Labelled samples are generally difficult to obtain as the labelling step if often performed manually. On the contrary, unlabeled samples are easily available. As the labeling task is tedious and time consuming, users generally provide a very limited number of labeled objects. However, designing approaches able to work efficiently with a very limited number of labeled samples is highly challenging. In this context, semi-supervised approaches have been proposed to leverage from both labeled and unlabeled data. In this paper, we focus on cases where the number of labeled samples is very limited. We review and formalize eight semi-supervised learning algorithms and introduce a new method that combine supervised and unsupervised learning in order to use both labeled and unlabeled data. The main idea of this method is to produce new features derived from a first step of data clustering. These features are then used to enrich the description of the input data leading to a better use of the data distribution. The efficiency of all the methods is compared on various artificial, UCI datasets, and on the classification of a very high resolution remote sensing image. The experiments reveal that our method shows good results, especially when the number of labeled sample is very limited. It also confirms that combining labeled and unlabeled data is very useful in pattern recognition.

Published
2016

217. Stability analysis of a clutch system with multi-element generalized polynomial chaos

Author

Evelyne Aubry, Minh Hoang Trinh, Sébastien Berger, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), and Institut National des Sciences Appliquées (INSA)

Subjects
Clutch, Truncation, Monte Carlo method, 02 engineering and technology, 01 natural sciences, Stability (probability), Industrial and Manufacturing Engineering, friction system, [SPI.AUTO]Engineering Sciences [physics]/Automatic, 0203 mechanical engineering, Control theory, 0103 physical sciences, General Materials Science, 010301 acoustics, Mathematics, Polynomial chaos, Noise (signal processing), Mechanical Engineering, mode coupling, Transmission system, stability, uncertainties, multi-element generalized polynomial chaos, Vibration, 020303 mechanical engineering & transports
Abstract

International audience; In the transmission systems of vehicles, unforced vibrations can be observed during the slidingphase of clutch engagement. These vibrations are due to frictional forces and may generate noise. Severalstudies have shown that the stability of such friction systems is highly sensitive to parameters (friction law,damping) which lead to significant dispersions. Therefore, uncertain parameters must be considered in thestability analysis of a clutch system. This paper investigates the ability of the multi-element generalizedpolynomial chaos to take an increasing number of uncertain parameters into account in the stability analysisof a clutch system: it focuses on accuracy, on the criterion for the choice of the order of truncation, on thecriterion for the choice of the number of elements and on computation time. The objective is to propose alow-cost model of high accuracy, compared with the Monte Carlo method.

Published
2016

218. Modified null space strategy to solve consensus problem

Author

Sharma, Aman, Kurapati, Naga Ganesh, Jagannath, Ravi Prasad K., Wira, Patrice, Lal, Shyam, Narasimhadhan, Adapa V., JSW Jaigarh Port Ltd, JSW Infrastructure Ltd, Dept. of Electrical and Computer Engineering, University of Massachusetts, University of Massachusetts [Lowell] (UMass Lowell), University of Massachusetts System (UMASS)-University of Massachusetts System (UMASS), Dept. of Mathematics, National Institute of Technology Goa, National Institute of Technology Goa, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Dept. of Electronics and Communication Engineering, and National Institute of Technology Karnataka [Surathkal] (NITK)

Subjects
Multi robot system, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, null space control strategy, follow wall behaviour, modified null space control strategy
Abstract

International audience; In the domain of multi robot systems, several applications necessitate agreement of all the individual robots at consensus/rendezvous point. Such an agreement can only be achieved by means of a control strategy. However, presence ofobstacles in the navigation-environment makes the achievement of control objective floundering. This paper accentuatesthe failure of extant null space based control strategy to circumvent rectangular obstacles by means of mathematicalproofs and extensive simulation studies. To over-come these short-comings, a modified null space based control strategyis proposed to solve the consensus problem. Proposed control strategy is tested in a complex environment consistingof rectangular and concave obstacles by means of computer simulations. Finally, a qualitative comparative analysis ispresented to contrast the differences between conventional null space based strategy and the proposed modified nullspace strategy.

Published
2016

219. Harmonic vibration test for the analysis of the dynamic behaviour ofpolyurethane foams

Author

Duboeuf, Olivier, Dupuis, Raphaël, Aubry, Evelyne, Lauth, Marc, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Laboratoire R&D Foam Chemistry, and Faurecia Automotive Seating

Subjects
dynamic behavior, Bode plots, polyurethane foams, harmonic vibration, dynamic stiffness function, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience; The main goal of this paper is to describe experimental techniques and identification of dynamic properties offlexible polyurethane foam. Indeed, automotive seat comfort level is established with considering quasi-static -density core, hysteresis loss and compression set - and dynamic -transmissibility and damping - properties offlexible polyurethane foams. Our dynamic system, modeled as a single degree-of-freedom system, is composedof an experimental device with a free mass on the top and a shaker on the basement. The first one, a rigid block,is mounted on a 100x100x50 mm cube sample of foam material and the second one excites the device with harmonicvibration. The steady-state response of a polyurethane foam sample – after the same number of cycles –to harmonic vibration is analyzed for different excitation amplitude level and for different initial compression level,corresponding respectively to various road surface conditions and to various apparent-mass. The transmittedvibration between the shaker and the free mass is measured to determine the damping power and the filter bandof polyurethane foam, and enables to trace the Bode magnitude and phase plots of the dynamic stiffness functionof the system. The results presented here compare 3 types of OEM foams.

Published
2016

220. Identificarse al contenido del trabajo : factor decisivo en la voluntad de permanecer en un empleo

Author

Mainhagu, Sebastien, Castéran, Herbert, IUT de Colmar, Centre de Recherche en Gestion des Organisations ( CReGO ), Université de Franche-Comté ( UFC ) -Université de Bourgogne ( UB ), Hommes et management en société / Humans and management in society ( Humanis ), Université de Strasbourg ( UNISTRA ) -Ecole de Management de Strasbourg ( EM Strasbourg ), Centre de Recherche en Gestion des Organisations (EA 7317) (CREGO), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université de Bourgogne (UB)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Université Bourgogne Franche-Comté [COMUE] (UBFC), Hommes et management en société / Humans and management in society (Humanis), Ecole de Management de Strasbourg (EM Strasbourg)-Université de Strasbourg (UNISTRA), Centre de Recherche en Gestion des Organisations [Dijon] (CREGO), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Université de Bourgogne (UB)-Université de Franche-Comté (UFC), and Université Bourgogne Franche-Comté [COMUE] (UBFC)

Subjects
Identification, Deseo de permanecer en un empleo, Souhait de rester en emploi, Análisis de correspondencias múltiples, Mixed-method, Identificarse con el contenido del trabajo, Méthode mixte, Analyse des correspondances multiples, [SHS.GESTION]Humanities and Social Sciences/Business administration, Choice to remain in a job, Modelo mixto, [ SHS.GESTION ] Humanities and Social Sciences/Business administration, Multiple correspondence analysis
Abstract

International audience; Research on the choice to remain in a job is limited, and that which exists tends to be based on turnover models that consider that the determinants influencing the intent to remain or to leave a job are the same. Furthermore, with the exception of Cossette and Gosselin (2012), scholars have traditionally only dealt with the choice to remain within a company and have not made any distinction between variables that explain the choice of employees to remain in a particular job or to be intraorganizationally mobile. This research serves two purposes: 1- it identifies the concepts related to the desire to stay in a job; 2- it explores the interrelationships between identified variables and the desire to stay in a job. The contribution of this research is twofold: the first is theoretical in so far as we identify the variables associated with the desire to remain in a job. The findings make it possible to propose a theoretical model that describes the relationships between three groups of variables (identification, personal context, and work context) and the desire to stay. In particular, we show the likely influence of how people identify with work content upon the desire to remain in a job. Rarely taken into account in analyses on this topic, we define this influence as a condition where an employee establishes equivalence between what he/she is and what he/she does. This identification follows the success achieved by a person that attests to his/her range of skills and provides him/her with a feeling of efficacy. The person identifies with this source of pride. The second contribution of this research is methodological. It appears to be fruitful to associate interview analysis, applying the principles of grounded theory, with a statistical process, such as a Multiple Correspondence Analysis (MCA), an approach that is little known to Anglo-Saxon scholars.; Hay pocas investigaciones sobre el deseo de quedarse en un empleo y cuando las hay, se aborda el tema a través de modelos de la tasa de rotación del personal porque se considera que los mismos determinantes influyen el deseo de quedarse o, de manera opuesta, dejar el empleo. Además, con excepción de Cossette y Gosselin (2012), los investigadores solo estudian el deseo de quedarse en una empresa mezclando en la misma variable explicada la voluntad de quedarse en el empleo y la movilidad intraorganizacional (deseo de quedarse en la empresa). Esta investigación se propone: 1- identificar los conceptos asociados al deseo de quedarse en un empleo; 2- explorar las relaciones entre las variables identificadas y el deseo de permanecer en el empleo. La contribución de esta investigación es doble. Primero es teórica ya que hemos identificado las variables asociadas con el deseo de permanecer en un empleo. Los resultados permiten de proponer un modelo teórico que describe los vínculos entre tres grupos de variables (la identificación, el entorno privado y laboral) y el deseo de quedarse. Se hace resaltar la influencia muy pocas veces analizada, de la identificación al contenido del trabajo en el deseo de quedarse. Esta variable es definida como un estado en el que un trabajador establece una equivalencia entre lo que él es y lo que hace. Se obtiene esta identificación después de los éxitos logrados por el trabajador, los cuales le indican la amplitud de sus competencias y le procuran un sentido de eficacia, una fuente de orgullo. La segunda contribución de esta investigación es metodológica: se mostró el potencial del uso de un método mixto al asociar el análisis de las entrevistas siguiendo los principios de la “ground theory” con un tratamiento estadístico como el modelo de las correspondencias múltiples poco conocido de los anglosajones.; Les recherches sur le choix de demeurer dans un emploi sont peu nombreuses ou traitent ce sujet à travers des modèles sur le roulement de personnel (turnover), considérant que les mêmes déterminants influencent de manière opposée l'intention de rester ou de quitter. De plus, à l'exception notable de Cossette et Gosselin (2012), les chercheurs ne traitent que le choix de rester dans l'entreprise, mêlant dans la même variable expliquée le choix de rester dans un emploi et celui de la mobilité intra-organisationnelle. Cette recherche poursuit deux objectifs: 1- identifier des concepts associés au souhait de rester dans son emploi; 2- explorer les relations entre les variables identifiées et le désir de rester. L'apport de cette recherche est double. Il s'avère tout d'abord théorique puisque nous avons identifié les variables associées au souhait de rester dans un emploi. Les résultats obtenus permettent de proposer un modèle théorique décrivant les relations entre trois groupes de variables (identification, contextes personnel et au travail) et le souhait de rester. Nous montrons, en particulier, l'influence probable des variables d'identification au contenu du travail sur le souhait de rester dans l'emploi, réalité rarement prise en compte dans les analyses sur ce sujet, que nous définissons comme un état où un salarié établit une équivalence entre ce qu'il est et ce qu'il fait. Cette identification est obtenue suite aux succès obtenus par la personne, qui lui indiquent ses compétences et lui procurent un sentiment d'efficacité, source de fierté. Le second apport de cette recherche est méthodologique. Il semble fécond d'associer une analyse des entretiens, appliquant les principes de la théorie enracinée, à un traitement statistique de type analyse des correspondances multiples, peu connu des chercheurs anglosaxons.

Published
2016

221. Fouille de Données Complexes - FDC 2016

Author

Cleuziou, Guillaume, De Runz, Cyril, Forestier, Germain, Lebbah, Mustapha, Laboratoire d'Informatique Fondamentale d'Orléans (LIFO), Université d'Orléans (UO)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC), Université de Reims Champagne-Ardenne (URCA), Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Laboratoire d'Informatique de Paris-Nord (LIPN), and Université Sorbonne Paris Cité (USPC)-Institut Galilée-Université Paris 13 (UP13)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[INFO]Computer Science [cs], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2016

222. Fouille de Données Complexes - FDC 2016

Author

De Runz, Cyril, Favre, Cécile, Forestier, Germain, Kurtz, Camille, Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC), Université de Reims Champagne-Ardenne (URCA), Equipe de Recherche en Ingénierie des Connaissances (ERIC), Université Lumière - Lyon 2 (UL2), Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Laboratoire d'Informatique Paris Descartes (LIPADE - EA 2517), and Université Paris Descartes - Paris 5 (UPD5)

Subjects
[CHIM]Chemical Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2016

223. Characterization of Vibrational Mechanical Properties of Polyurethane Foam

Author

Dupuis, Raphaël, Duboeuf, Olivier, Kirtz, Bertrand, Aubry, Evelyne, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Laboratoire R&D Foam Chemistry, Faurecia Automotive Seating, and Accouvib

Subjects
dynamic behavior, Polyurethane foam, upholstery, filtration frequency, natural frequency, [SPI.AUTO]Engineering Sciences [physics]/Automatic
Abstract

International audience; Polyurethane foam (PU) is widely used in numerous comfort applications such as automotive seat cushioning and mattresses. The present paper is devoted to describe experimental techniques and identification of dynamic properties of thin flexible polyurethane foam used in automotive seats. In the experimental device, a free mass is mounted on a 0.1square meterof different foams used in car upholstery. The foam is the only flexible component. The device is excited with an electrodynamic shaker with frequencies varying between 10 and 200 Hz. The response of foam samples to sweep sine excitation is analyzed for different excitation acceleration amplitude (1 to 2,5 mm.s-2) and for different free masses.In order to answer the issue of replacement, different multilayer products and single foam samples have been characterized and comparisons have been carried out. The results of this study show interesting properties in terms of dynamic behavior of multilayer products when compared to the PU foams.

Published
2016

224. Constraints on the neutrino emission from the Galactic Ridge with the ANTARES telescope

Author

E. Nezri, J. J. Aubert, C. Tönnis, A. Mathieu, V. Giordano, T. Avgitas, Hans van Haren, A. Sánchez-Losa, S. Galatà, R. Bruijn, Luigi Antonio Fusco, I. El Bojaddaini, P. Coyle, Alexis Coleiro, M. Circella, C. Perrina, S.F. Biagi, Antonio Capone, S. Adrián-Martínez, M. Marcelin, D. Dornic, Maurizio Spurio, Michel André, A.J. Heijboer, G. De Bonis, Robert Lahmann, C. Hugon, Dominik Elsaesser, M. Ardid, A. Marinelli, A. Enzenhöfer, A. Moussa, D. Turpin, O. Kalekin, C. Vallée, F. Schüssler, A. Albert, J.J. Hernández-Rey, C. Mueller, K. Geyer, Bruny Baret, K. Roensch, Daniele Vivolo, J. Barrios-Martí, Hervé Glotin, S. Geisselsoeder, V. Van Elewyck, P. Migliozzi, M. Saldaña, L. Caramete, M.C. Bouwhuis, Jutta Schnabel, A. Creusot, I. Kreykenbohm, R. Coniglione, Yann Hello, R. Bormuth, C. Racca, Silvia Celli, V. Bertin, D. Kiessling, A. Gleixner, G.E. Păvălaş, Matthias Kadler, M. Kreter, Ivan Felis, Dominique Lefèvre, Kay Graf, C. Lachaud, Gisela Anton, T. Michael, Thomas Eberl, C. Donzaud, C. W. James, E. Visser, R. Gracia-Ruiz, V. Popa, Th. Stolarczyk, B. Vallage, J. Zunga, Steffen Hallmann, J. Jeffrey Carr, J.D. Zornoza, S. Loucatos, P. Piattelli, G. Illuminati, J.A. Martínez-Mora, M. Jong, Tommaso Chiarusi, Uli Katz, J. Hoessl, Annarita Margiotta, Anne Deschamps, Matteo Sanguineti, G. Riccobene, Paolo Sapienza, T. Seitz, Heide Costantini, Doriane Drouhin, Antoine Kouchner, J. Brunner, Emanuele Leonora, S. Basa, C. Pellegrino, Vladimir Kulikovskiy, Jörn Wilms, M. Anghinolfi, J. Busto, C. Sieger, S. Wagner, A. Trovato, Maria Tselengidou, C. Distefano, D. F. E. Samtleben, M. Taiuti, Thierry Pradier, K. Fehn, Jannik Hofestaedt, Institut d’Investigació per a la Gestió Integrada de Zones Costaneres (IGIC), Universitat Politècnica de València (UPV), Groupe de Recherche en Physique des Hautes Energies (GRPHE), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut Universitaire de Technologie de Colmar, Laboratory of Applied Bioacoustics (LAB-UPC), Universidad Polytecnica de Cataluña (UPC), Erlangen Centre for Astroparticle Physics (ECAP), Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Centre de Physique des Particules de Marseille (CPPM), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Aix Marseille Université (AMU), Laboratoire d'Astrophysique de Marseille (LAM), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Centre National d'Études Spatiales [Toulouse] (CNES), Enrico Fermi - Dipartimento di Fisica, University of Pisa - Università di Pisa, Department of Physics [Roma La Sapienza], Università degli Studi di Roma 'La Sapienza' [Rome], Géoazur (GEOAZUR 7329), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Université Paris-Sud - Paris 11 (UP11), Institut für Theoretische Physik und Astrophysik [Wurzburg], Julius-Maximilians-Universität Würzburg [Wurtzbourg, Allemagne] (JMU), Laboratoire de Physique Corpusculaire - Clermont-Ferrand (LPC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre d'Etudes Nucléaires de Bordeaux Gradignan (CENBG), Université Sciences et Technologies - Bordeaux 1-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut méditerranéen d'océanologie (MIO), Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN)-Aix Marseille Université (AMU)-Institut de Recherche pour le Développement (IRD), LTI, ENSA de Tanger, Département Recherches Subatomiques (DRS-IPHC), Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Département de Physique des Particules (ex SPP) (DPP), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Centre Tecnològic de Vilanova i la Geltrú, Universitat Politècnica de Catalunya. LAB - Laboratori d'Aplicacions Bioacústiques, Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Institut für Theoretische Physik und Astrophysik [Würzburg], Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire de Technologie de Colmar-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN), Laboratoire des technologies Innovantes [Tanger] (LTI), Ecole Nationale des Sciences Appliquées [Tanger] (ENSAT), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar, Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Dipartimento di Fisica [Roma La Sapienza], Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), Julius-Maximilians-Universität Würzburg (JMU), Université Sciences et Technologies - Bordeaux 1 (UB)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Département de Physique des Particules (ex SPP) (DPhP), ANTARES (IHEF, IoP, FNWI), Adrian-Martinez, S, Albert, A, Andre, M, Anghinolfi, M, Anton, G, Ardid, M, Aubert, Jj, Avgitas, T, Baret, B, Barrios-Marti, J, Basa, S, Bertin, V, Biagi, S, Bormuth, R, Bouwhuis, Mc, Bruijn, R, Brunner, J, Busto, J, Capone, A, Caramete, L, Carr, J, Celli, S, Chiarusi, T, Circella, M, Coleiro, A, Coniglione, R, Costantini, H, Coyle, P, Creusot, A, Deschamps, A, De Bonis, G, Distefano, C, Donzaud, C, Dornic, D, Drouhin, D, Eberl, T, El Bojaddaini, I, Elsasser, D, Enzenhofer, A, Fehn, K, Felis, I, Fusco, La, Galata, S, Gay, P, Geisselsoder, S, Geyer, K, Giordano, V, Gleixner, A, Glotin, H, Gracia-Ruiz, R, Graf, K, Hallmann, S, van Haren, H, Heijboer, Aj, Hello, Y, Hernandez-Rey, Jj, Hossl, J, Hofestadt, J, Hugon, C, Illuminati, G, James, Cw, de Jong, M, Kadler, M, Kalekin, O, Katz, U, Kiessling, D, Kouchner, A, Kreter, M, Kreykenbohm, I, Kulikovskiy, V, Lachaud, C, Lahmann, R, Lefevre, D, Leonora, E, Loucatos, S, Marcelin, M, Margiotta, A, Marinelli, A, Martinez-Mora, Ja, Mathieu, A, Michael, T, Migliozzi, P, Moussa, A, Mueller, C, Nezri, E, Pavalas, Ge, Pellegrino, C, Perrina, C, Piattelli, P, Popa, V, Pradier, T, Racca, C, Riccobene, G, Roensch, K, Saldana, M, Samtleben, Dfe, Sanchez-Losa, A, Sanguineti, M, Sapienza, P, Schnabel, J, Schussler, F, Seitz, T, Sieger, C, Spurio, M, Stolarczyk, T, Taiuti, M, Trovato, A, Tselengidou, M, Turpin, D, Tonnis, C, Vallage, B, Vallee, C, Van Elewyck, V, Visser, E, Vivolo, D, Wagner, S, Wilms, J, Zornoza, Jd, Zunga, J, Adrian-Martinez, S., Albert, A., Andre, M., Anghinolfi, M., Anton, G., Ardid, M., Aubert, J. -J., Avgitas, T., Baret, B., Barrios-Marti, J., Basa, S., Bertin, V., Biagi, S., Bormuth, R., Bouwhuis, M. C., Bruijn, R., Brunner, J., Busto, J., Capone, A., Caramete, L., Carr, J., Celli, S., Chiarusi, T., Circella, M., Coleiro, A., Coniglione, R., Costantini, H., Coyle, P., Creusot, A., Deschamps, A., De Bonis, G., Distefano, C., Donzaud, C., Dornic, D., Drouhin, D., Eberl, T., El Bojaddaini, I., Elsasser, D., Enzenhofer, A., Fehn, K., Felis, I., Fusco, L. A., Galata, S., Gay, P., Geisselsoder, S., Geyer, K., Giordano, V., Gleixner, A., Glotin, H., Gracia-Ruiz, R., Graf, K., Hallmann, S., van Haren, H., Heijboer, A. J., Hello, Y., Hernandez-Rey, J. J., Hossl, J., Hofestadt, J., Hugon, C., Illuminati, G., James, C. W., de Jong, M., Kadler, M., Kalekin, O., Katz, U., Kiessling, D., Kouchner, A., Kreter, M., Kreykenbohm, I., Kulikovskiy, V., Lachaud, C., Lahmann, R., Lefevre, D., Leonora, E., Loucatos, S., Marcelin, M., Margiotta, A., Marinelli, A., Martinez-Mora, J. A., Mathieu, A., Michael, T., Migliozzi, P., Moussa, A., Mueller, C., Nezri, E., Pavalas, G. E., Pellegrino, C., Perrina, C., Piattelli, P., Popa, V., Pradier, T., Racca, C., Riccobene, G., Roensch, K., Saldana, M., Samtleben, D. F. E., Sanchez-Losa, A., Sanguineti, M., Sapienza, P., Schnabel, J., Schussler, F., Seitz, T., Sieger, C., Spurio, M., Stolarczyk, T., Taiuti, M., Trovato, A., Tselengidou, M., Turpin, D., Tonnis, C., Vallage, B., Vallee, C., Van Elewyck, V., Visser, E., Vivolo, D., Wagner, S., Wilms, J., Zornoza, J. D., Zuniga, J., Adrián-Martínez, S., André, M., Aubert, J.-J., Barrios-Martí, J., Bouwhuis, M.C., Elsässer, D., Enzenhöfer, A., Fusco, L.A., Galatà, S., Geißelsöder, S., Heijboer, A.J., Hernández-Rey, J.J., Hößl, J., Hofestädt, J., James, C.W., Kießling, D., Lefèvre, D., Martínez-Mora, J.A., Păvălaş, G.E., Saldaña, M., Samtleben, D.F.E., Sánchez-Losa, A., Schüssler, F., Stolarczyk, Th., Tönnis, C., Vallée, C., Zornoza, J.D., and Zúñiga, J.

Subjects
Astrofísica, Nuclear and High Energy Physics, Solar neutrino, Astrophysics::High Energy Astrophysical Phenomena, FOS: Physical sciences, Cosmic ray, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Neutrino telescope, 01 natural sciences, 0103 physical sciences, ddc:530, 14. Life underwater, Neutrins, Neutrinos, 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, Physics, High Energy Astrophysical Phenomena (astro-ph.HE), ANTARES, 010308 nuclear & particles physics, Galactic ridge, Astrophysics::Instrumentation and Methods for Astrophysics, Astronomy, Diffuse muon neutrino flux, Solar neutrino problem, lcsh:QC1-999, Neutrino astrophysics, Neutrino detector, 13. Climate action, FISICA APLICADA, Física::Astronomia i astrofísica [Àrees temàtiques de la UPC], Measurements of neutrino speed, High Energy Physics::Experiment, Neutrino astronomy, Neutrino, Astrophysics - High Energy Astrophysical Phenomena, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], lcsh:Physics
Abstract

[EN] A highly significant excess of high-energy astrophysical neutrinos has been reported by the IceCube Collaboration. Some features of the energy and declination distributions of IceCube events hint at a North/South asymmetry of the neutrino flux. This could be due to the presence of the bulk of our Galaxy in the Southern hemisphere. The ANTARES neutrino telescope, located in the Mediterranean Sea, has been taking data since 2007. It offers the best sensitivity to muon neutrinos produced by galactic cosmic ray interactions in this region of the sky. In this letter a search for an extended neutrino flux from the Galactic Ridge region is presented. Different models of neutrino production by cosmic ray propagation are tested. No excess of events is observed and upper limits for different neutrino flux spectral indices gamma are set. For gamma=2.4 the 90% confidence level flux upper limit at 100 TeV for one neutrino flavour corresponds to Phi1f0 (100 TeV)=2.0 10-7; GeV cm-2 s-1 sr-1. Under this assumption, at most two events of the IceCube cosmic candidates can originate from the Galactic Ridge. A simple power-law extrapolation of the Fermi-LAT flux to account for IceCube High Energy Starting Events is excluded at 90% confidence level., We are indebted to D. Gaggero, D. Grasso, A. Urbano and M. Valli for the useful discussion, comments and suggestions. The authors acknowledge the financial support of the funding agencies: Centre National de la Recherche Scientifique (CNRS), Commissariat a l'Energie Atomique et aux Energies Alternatives (CEA), Commission Europeenne (FEDER fund and Marie Curie Program), Institut Universitaire de France (IUF), IdEx program and UnivEarthS Labex program at Sorbonne Paris Cite (ANR-10-LABX-0023 and ANR-11-IDEX-0005-02), Region Ile-de-France (DIM-ACAV), Region Alsace (contrat CPER), Region Provence-Alpes-Cote d'Azur, Departement du Var and Ville de La Seyne-sur-Mer, France; Bundesministerium fur Bildung und Forschung (BMBF), Germany; Istituto Nazionale di Fisica Nucleare (INFN), Italy; Stichting voor Fundamenteel Onderzoek der Materie (FOM), Nederlandse Organisatie voor Wetenschappelijk Onderzoek(NWO), the Netherlands; Council of the President of the Russian Federation for young scientists and leading scientific schools supporting grants, Russia; National Authority for Scientific Research (ANCS), Romania; Ministerio de Economia y Competitividad (MINECO), Prometeo and Grisolia programs of Generalitat Valenciana and MultiDark, Spain; Agence de l'Oriental and CNRST, Morocco. We also acknowledge the technical support of IFREMER, AIM and Foselev Marine for the sea operation and the CC-IN2P3 for the computing facilities.

Published
2016

225. FERMI-LAT OBSERVATIONS of the LIGO EVENT GW150914

Author

Denis Bastieri, G. A. Gomez-Vargas, Andrea Albert, J. L. Racusin, M. N. Mazziotta, Roger W. Romani, S. Maldera, James Chiang, Roger Blandford, Eric Charles, Gabrijela Zaharijas, Steven Ritz, R. J. Britto, D. J. Suson, P. M. Saz Parkinson, M. Marelli, Stephan Zimmer, Gudlaugur Johannesson, M. Caragiulo, M. Giomi, T. H. Burnett, T. J. Brandt, M. E. Monzani, Lucas Guillemot, David A. Smith, T. Ohsugi, Eleonora Troja, Liang Li, R. Bonino, Guido Barbiellini, A. Reimer, J. Becerra González, Nestor Mirabal, Dario Gasparrini, Elisabetta Bissaldi, G. Pivato, S. Kensei, Matteo Negro, N. Di Lalla, Luca Baldini, L. S. Rochester, A. Morselli, T. Glanzman, Seth Digel, P. Fusco, Eugenio Bottacini, Alberto Manfreda, A. Chekhtman, P. Lubrano, T. Reposeur, Matthew G. Baring, Sara Buson, Sylvain Guiriec, R. A. Cameron, Jean Ballet, E. Hays, A. Franckowiak, G. Godfrey, Brandon Anderson, J. G. Thayer, Stefano Ciprini, S. Cutini, A. A. Moiseev, Stefan Funk, T. A. Porter, D. Dumora, S. Rainò, J. D. Magill, Daniel Kocevski, Paolo Giommi, F. de Palma, Tsunefumi Mizuno, Marianne Lemoine-Goumard, M. Mayer, Elliott D. Bloom, G. Chiaro, F. Loparco, M. Orienti, F. Piron, G. M. Madejski, J. E. Grove, Yasushi Fukazawa, Marco Ajello, R. Dubois, J. B. Thayer, J. W. Hewitt, Manuel Meyer, Jonathan Granot, J. F. Ormes, Alice K. Harding, D. Horan, E. Orlando, E. Moretti, F. Costanza, T. Kamae, P. Spinelli, Melissa Pesce-Rollins, B. Condon, R. Desiante, Daniela Hadasch, Soebur Razzaque, Makoto Arimoto, Jingcheng Li, I. A. Grenier, K. S. Wood, L. Tibaldo, Francesco Giordano, Johan Bregeon, Nicola Omodei, Carmelo Sgrò, Riccardo Rando, A. B. Hill, E. Cavazzuti, Matthew Wood, Julie McEnery, D. Simone, E. Nuss, David Paneque, S. J. Fegan, M. Kuss, J. M. Casandjian, L. R. Cominsky, P. Bruel, Igor V. Moskalenko, Olaf Reimer, N. Gehrels, D. J. Thompson, C. Favuzzi, Tonia M. Venters, Giacomo Vianello, G. La Mura, Ronaldo Bellazzini, F. Gargano, Luca Latronico, Elizabeth C. Ferrara, E. J. Siskind, Magnus Axelsson, Markus Ackermann, Diego F. Torres, R. Buehler, Peter F. Michelson, Marcello Giroletti, F. Spada, R. Caputo, Hiroyasu Tajima, Stefan Larsson, Filippo D'Ammando, Alessandro Cuoco, W. B. Atwood, J. S. Perkins, Nicola Giglietto, M. N. Lovellette, P. A. Caraveo, Persis S. Drell, Francesco Longo, T. Jogler, Sylvia J. Zhu, Aaron Dominguez, Yasunobu Uchiyama, M. Di Mauro, David H. Green, Gloria Spandre, Johann Cohen-Tanugi, L. Di Venere, M.-H. Grondin, S. Murgia, G. A. Caliandro, Stanford University [Stanford], Groupe de Recherche en Physique des Hautes Energies (GRPHE), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut Universitaire de Technologie de Colmar, Los Alamos National Laboratory (LANL), Santa Cruz Institute for Particle Physics (SCIPP), University of California [Santa Cruz] (UCSC), University of California-University of California, Groupe de Recherche en Economie Théorique et Appliquée (GREThA), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Institut de Physique Théorique - UMR CNRS 3681 (IPHT), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Stanford Linear Accelerator Center (SLAC), UGC-DAE Consortium for Scientific Research, AUTRES, Department of Clinical and Molecular Medicine, Institut Pasteur, Fondation Cenci Bolognetti - Istituto Pasteur Italia, Fondazione Cenci Bolognetti, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Università degli Studi di Roma 'La Sapienza' [Rome], IHU-LIRYC, CHU Bordeaux [Bordeaux]-Université Bordeaux Segalen - Bordeaux 2, GLAST, Centre d'Etudes Nucléaires de Bordeaux Gradignan (CENBG), Université Sciences et Technologies - Bordeaux 1-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Istituto Nazionale di Ricerca Metrologica, Torino, London School of Hygiene and Tropical Medicine (LSHTM), Istituto Nazionale di Fisica Nucleare, sezione di Bari (INFN, sezione di Bari), National Institute for Nuclear Physics (INFN), Istituto Nazionale di Astrofisica (INAF), École nationale supérieure d'architecture de Nantes (ENSA Nantes), Unité Scientifique de la Station de Nançay (USN), Université d'Orléans (UO)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, PSL Research University (PSL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique et Chimie de l'Environnement et de l'Espace (LPC2E), Observatoire des Sciences de l'Univers en région Centre (OSUC), PSL Research University (PSL)-PSL Research University (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), GFSC Astrophysics Science Division, NASA Goddard Space Flight Center (GSFC), Laboratoire Leprince-Ringuet (LLR), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), Istituto Nazionale di Fisica Nucleare, Sezione di Pisa, DIEE, University of Cagliari, University of Gothenburg (GU), China Agricultural University (CAU), Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris)-École normale supérieure - Paris (ENS Paris), Laboratoire Univers et Particules de Montpellier (LUPM), Université de Montpellier (UM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Corpusculaire - Clermont-Ferrand (LPC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Hansen Experimental Physics Laboratory (HEPL), Institut Pasteur de Montevideo, Réseau International des Instituts Pasteur (RIIP), University of Botswana, Department of Animal and Avian Sciences, University of Maryland [College Park], University of Maryland System-University of Maryland System, Université Sciences et Technologies - Bordeaux 1-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Medical Sciences Division, Northern Ontario School of Medicine, Centre de Recherche Interdisciplinaire sur la Biologie, la Santé la Société, et l’Environnement, Université du Québec à Montréal (UQAM), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA), École normale supérieure - Paris (ENS Paris)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Centre National de la Recherche Scientifique (CNRS), Institute of Infection, Immunity and Inflammation, University of Glasgow, École nationale supérieure d'architecture de Versailles (ENSA-V), Department of Plant Sciences [Davis, CA], University of California [Davis] (UC Davis), Sea Mammal Research Unit, University of St Andrews [Scotland], Department of Physics [Tokyo], Rikkyo University [Tokyo], Naval Research Laboratory (NRL), Zhejiang University, Laboratoire de Conception Fabrication Commande (LCFC), Université de Lorraine (UL)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM), Stanford University, Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar, Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), University of California [Santa Cruz] (UC Santa Cruz), University of California (UC)-University of California (UC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université Sciences et Technologies - Bordeaux 1 (UB)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), SLAC National Accelerator Laboratory (SLAC), Department of Molecular Medicine, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), Université Bordeaux Segalen - Bordeaux 2-CHU Bordeaux [Bordeaux], Istituto Nazionale di Fisica Nucleare (INFN), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), GSFC Astrophysics Science Division, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Hansen Experimental Physics Lab [Stanford] (HEPL), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université de Cergy Pontoise (UCP), Department of Plant Sciences [Univ California Davis] (Plant - UC Davis), Université de Lorraine (UL)-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM), ITA, Institut Universitaire de Technologie de Colmar-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Université Montpellier 2 - Sciences et Techniques (UM2)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], Centre National de la Recherche Scientifique (CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université d'Orléans (UO), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National d’Études Spatiales [Paris] (CNES), Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École des Ponts ParisTech (ENPC)-École polytechnique (X)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Ackermann, M., Ajello, M., Albert, A., Anderson, B., Arimoto, M., Atwood, W. B., Axelsson, M., Baldini, L., Ballet, J., Barbiellini, G., Baring, M. G., Bastieri, D., Gonzalez, J. Becerra, Bellazzini, R., Bissaldi, E., Blandford, R. D., Bloom, E. D., Bonino, R., Bottacini, E., Brandt, T. J., Bregeon, J., Britto, R. J., Bruel, P., Buehler, R., Burnett, T. H., Buson, S., Caliandro, G. A., Cameron, R. A., Caputo, R., Caragiulo, M., Caraveo, P. A., Casandjian, J. M., Cavazzuti, E., Charles, E., Chekhtman, A., Chiang, J., Chiaro, G., Ciprini, S., Cohen Tanugi, J., Cominsky, L. R., Condon, B., Costanza, F., Cuoco, A., Cutini, S., D'Ammando, F., Palma, F. De, Desiante, R., Digel, S. W., Lalla, N. Di, Mauro, M. Di, Venere, L. Di, Domnguez, A., Drell, P. S., Dubois, R., Dumora, D., Favuzzi, C., Fegan, S. J., Ferrara, E. C., Franckowiak, A., Fukazawa, Y., Funk, S., Fusco, P., Gargano, F., Gasparrini, D., Gehrels, N., Giglietto, N., Giomi, M., Giommi, P., Giordano, F., Giroletti, M., Glanzman, T., Godfrey, G., Gomez Vargas, G. A., Granot, J., Green, D., Grenier, I. A., Grondin, M. H., Grove, J. E., Guillemot, L., Guiriec, S., Hadasch, D., Harding, A. K., Hays, E., Hewitt, J. W., Hill, A. B., Horan, D., Jogler, T., Jóhannesson, G., Kamae, T., Kensei, S., Kocevski, D., Kuss, M., Mura, G. La, Larsson, S., Latronico, L., Lemoine Goumard, M., Li, J., Li, L., Longo, Francesco, Loparco, F., Lovellette, M. N., Lubrano, P., Madejski, G. M., Magill, J., Maldera, S., Manfreda, A., Marelli, M., Mayer, M., Mazziotta, M. N., Mcenery, J. E., Meyer, M., Michelson, P. F., Mirabal, N., Mizuno, T., Moiseev, A. A., Monzani, M. E., Moretti, E., Morselli, A., Moskalenko, I. V., Murgia, S., Negro, M., Nuss, E., Ohsugi, T., Omodei, N., Orienti, M., Orlando, E., Ormes, J. F., Paneque, D., Perkins, J. S., Pesce Rollins, M., Piron, F., Pivato, G., Porter, T. A., Racusin, J. L., Rain, S., Rando, R., Razzaque, S., Reimer, A., Reimer, O., Reposeur, T., Ritz, S., Rochester, L. S., Romani, R. W., Parkinson, P. M. Saz, Sgr, C., Simone, D., Siskind, E. J., Smith, D. A., Spada, F., Spandre, G., Spinelli, P., Suson, D. J., Tajima, H., Thayer, J. G., Thayer, J. B., Thompson, D. J., Tibaldo, L., Torres, D. F., Troja, E., Uchiyama, Y., Venters, T. M., Vianello, G., Wood, K. S., Wood, M., Zaharijas, G., Zhu, S., Zimmer, S., Ackermann M, Ajello M, Albert A, Anderson B, Arimoto M, Atwood WB, Axelsson M, Baldini L, Ballet J, Barbiellini G, Baring MG, Bastieri D, Gonzalez JB, Bellazzini R, Bissaldi E, Blandford RD, Bloom ED, Bonino R, Bottacini E, Brandt TJ, Bregeon J, Britto RJ, Bruel P, Buehler R, Burnett TH, Buson S, Caliandro GA, Cameron RA, Caputo R, Caragiulo M, Caraveo PA, Casandjian JM, Cavazzuti E, Charles E, Chekhtman A, Chiang J, Chiaro G, Ciprini S, Cohen-Tanugi J, Cominsky LR, Condon B, Costanza F, Cuoco A, Cutini S, DAmmando F, de Palma F, Desiante R, Digel SW, Di Lalla N, Di Mauro M, Di Venere L, Dominguez A, Drell PS, Dubois R, Dumora D, Favuzzi C, Fegan SJ, Ferrara EC, Franckowiak A, Fukazawa Y, Funk S, Fusco P, Gargano F, Gasparrini D, Gehrels N, Giglietto N, Giomi M, Giommi P, Giordano F, Giroletti M, Glanzman T, Godfrey G, Gomez-Vargas GA, Granot J, Green D, Grenier IA, Grondin MH, Grove JE, Guillemot L, Guiriec S, Hadasch D, Harding AK, Hays E, Hewitt JW, Hill AB, Horan D, Jogler T, Johannesson G, Kamae T, Kensei S, Kocevski D, Kuss M, La Mura G, Larsson S, Latronico L, Lemoine-Goumard M, Li J, Li L, Longo F, Loparco F, Lovellette MN, Lubrano P, Madejski GM, Magill J, Maldera S, Manfreda A, Marelli M, Mayer M, Mazziotta MN, McEnery JE, Meyer M, Michelson PF, Mirabal N, Mizuno T, Moiseev AA, Monzani ME, Moretti E, Morselli A, Moskalenko IV, Murgia S, Negro M, Nuss E, Ohsugi T, Omodei N, Orienti M, Orlando E, Ormes JF, Paneque D, Perkins JS, Pesce-Rollins M, Piron F, Pivato G, Porter TA, Racusin JL, Raino S, Rando R, Razzaque S, Reimer A, Reimer O, Reposeur T, Ritz S, Rochester LS, Romani RW, Parkinson PMS, Sgro C, Simone D, Siskind EJ, Smith DA, Spada F, Spandre G, Spinelli P, Suson DJ, Tajima H, Thayer JG, Thayer JB, Thompson DJ, Tibaldo L, Torres DF, Troja E, Uchiyama Y, Venters TM, Vianello G, Wood KS, Wood M, Zaharijas G, Zhu S, Zimmer S, Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome]-Institut Pasteur, Fondation Cenci Bolognetti - Istituto Pasteur Italia, Fondazione Cenci Bolognetti, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO), Università degli Studi di Roma 'La Sapienza' [Rome]-Réseau International des Instituts Pasteur (RIIP)-Institut Pasteur, Fondation Cenci Bolognetti - Istituto Pasteur Italia, Fondazione Cenci Bolognetti, and École normale supérieure - Paris (ENS Paris)-École normale supérieure - Paris (ENS Paris)-Centre National de la Recherche Scientifique (CNRS)-École des Ponts ParisTech (ENPC)-École polytechnique (X)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)

Subjects
gamma-ray burst: general, gamma-rays: general, gravitational waves, methods: observational, [PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE], media_common.quotation_subject, Astrophysics::High Energy Astrophysical Phenomena, gamma-ray burst: general, observational [methods], FOS: Physical sciences, Astrophysics, general [gamma-ray burst], 01 natural sciences, law.invention, Telescope, ravitational waves, law, Observatory, gamma-ray burst: general – gamma-rays: general – gravitational waves – methods: observational, 0103 physical sciences, gravitational wave, 010303 astronomy & astrophysics, media_common, High Energy Astrophysical Phenomena (astro-ph.HE), Physics, 010308 nuclear & particles physics, Gravitational wave, gamma-rays: general, gravitational waves, methods: observational, Astronomy and Astrophysics, Space and Planetary Science, Astrophysics::Instrumentation and Methods for Astrophysics, Astronomy, gamma rays: general, Astronomy and Astrophysic, Gamma-ray burst: general, LIGO, Black hole, Interferometry, Sky, [SDU]Sciences of the Universe [physics], ddc:520, Astrophysics - High Energy Astrophysical Phenomena, general [gamma-rays], Fermi Gamma-ray Space Telescope
Abstract

The astrophysical journal / 2 823(1), L2(2016). doi:10.3847/2041-8205/823/1/L2, The Fermi Large Area Telescope (LAT) has an instantaneous field of view (FoV) covering $\sim 1/5$ of the sky and it completes a survey of the entire sky in high-energy gamma-rays every 3 hr. It enables searches for transient phenomena over timescales from milliseconds to years. Among these phenomena could be electromagnetic counterparts to gravitational wave (GW) sources. In this paper, we present a detailed study of the LAT observations relevant to Laser Interferometer Gravitational-wave Observatory (LIGO) event GW150914, which is the first direct detection of gravitational waves and has been interpreted as being due to the coalescence of two stellar-mass black holes. The localization region for GW150914 was outside the LAT FoV at the time of the GW signal. However, as part of routine survey observations, the LAT observed the entire LIGO localization region within ~70 minutes of the trigger and thus enabled a comprehensive search for a γ-ray counterpart to GW150914. The study of the LAT data presented here did not find any potential counterparts to GW150914, but it did provide limits on the presence of a transient counterpart above 100 MeV on timescales of hours to days over the entire GW150914 localization region., Published by Institute of Physics Publ., London

Published
2016

226. The first combined search for neutrino point-sources in the Southern Hemisphere with the ANTARES and IceCube neutrino telescopes

Author

ANTARES Collaboration, Adrián-Martínez, S., Bertin, V., Schüssler, F., Seitz, T., Sieger, C., Spurio, M., Steijger, J. J. M., Stolarczyk, Th., Taiuti, M., Tamburini, C., Trovato, A., Tselengidou, M., Biagi, S., Tönnis, C., Vallage, B., Vallée, C., Van Elewyck, V., Visser, E., Vivolo, D., Wagner, S., Wilms, J., Zornoza, J. D., Zúñiga, J., Bormuth, R., IceCube Collaboration, Aartsen, M. G., Abraham, K., Ackermann, Markus, Adams, J., Aguilar, J. A., Ahlers, M., Ahrens, M., Altmann, D., Bouwhuis, M. C., Anderson, T., Ansseau, I., Archinger, M., Arguelles, C., Arlen, T. C., Auffenberg, J., Bai, X., Barwick, S. W., Baum, V., Bay, R., Bruijn, R., Beatty, J. J., Tjus, J. Becker, Becker, K. -H., Beiser, E., Berghaus, P., Berley, D., Bernardini, E., Bernhard, A., Besson, D. Z., Binder, G., Brunner, J., Bindig, D., Bissok, M., Blaufuss, E., Blumenthal, J., Boersma, D. J., Bohm, C., Börner, M., Bos, F., Bose, D., Böser, S., Busto, J., Botner, O., Braun, J., Brayeur, L., Bretz, H. -P., Buzinsky, N., Casey, J., Casier, M., Cheung, E., Chirkin, D., Christov, A., Capone, A., Clark, K., Classen, L., Coenders, S., Cowen, D. F., Silva, A. H. Cruz, Daughhetee, J., Davis, J. C., Day, M., de André, J. P. A. M., De Clercq, C., Caramete, L., Rosendo, E. del Pino, Dembinski, H., De Ridder, S., Desiati, P., de Vries, K. D., de Wasseige, G., de With, M., DeYoung, T., D, di Lorenzo, V., Carr, J., Dumm, J. P., Dunkman, M., Eberhardt, B., Ehrhardt, T., Eichmann, B., Euler, S., Evenson, P. A., Fahey, S., Fazely, A. R., Feintzeig, J., Albert, A., Chiarusi, T., Felde, J., Filimonov, K., Finley, C., Fischer-Wasels, T., Flis, S., Fösig, C. -C., Fuchs, T., Gaisser, T. K., Gaior, R., Gallagher, J., Circella, M., Gerhardt, L., Ghorbani, K., Gier, D., Gladstone, L., Glagla, M., Glüsenkamp, T., Goldschmidt, A., Golup, G., Gonzalez, J. G., Góra, D., Coniglione, R., Grant, D., Griffith, Z., Groß, A., Ha, C., Haack, C., Ismail, A. Haj, Hallgren, A., Halzen, F., Hansen, E., Hansmann, B., Costantini, H., Hanson, K., Hebecker, D., Heereman, D., Helbing, K., Hellauer, R., Hickford, S., Hignight, J., Hill, G. C., Hoffman, K. D., Hoffmann, R., Coyle, P., Holzapfel, K., Homeier, A., Hoshina, K., Huang, F., Huber, M., Huelsnitz, W., Hulth, P. O., Hultqvist, K., In, S., Ishihara, A., Creusot, A., Jacobi, E., Japaridze, G. S., Jero, K., Jurkovic, M., Kappes, A., Karg, T., Karle, A., Kauer, M., Keivani, A., Kelley, J. L., Dekeyser, I., Kemp, J., Kheirandish, A., Kiryluk, J., Kläs, J., Klein, S. R., Kohnen, G., Koirala, R., Kolanoski, H., Konietz, R., Köpke, L., Deschamps, A., Kopper, C., Kopper, S., Koskinen, D. J., Kowalski, Marek, Krings, K., Kroll, G., Kroll, M., Krückl, G., Kunnen, J., Kurahashi, N., De Bonis, G., Kuwabara, T., Labare, M., Lanfranchi, J. L., Larson, M. J., Lesiak-Bzdak, M., Leuermann, M., Leuner, J., Lu, L., Lünemann, J., Madsen, J., Distefano, C., Maggi, G., Mahn, K. B. M., Mandelartz, M., Maruyama, R., Mase, K., Matis, H. S., Maunu, R., McNally, F., Meagher, K., Medici, M., André, M., Donzaud, C., Meli, A., Menne, T., Merino, G., Meures, T., Miarecki, S., Middell, E., Mohrmann, L., Montaruli, T., Morse, R., Nahnhauer, R., Dornic, D., Naumann, U., Neer, G., Niederhausen, H., Nowicki, S. C., Nygren, D. R., Obertacke, A., Pollmann, Olivas, A., Omairat, A., O'Murchadha, A., Drouhin, D., Palczewski, T., Pandya, H., Pankova, D. V., Paul, L., Pepper, J. A., Heros, C. Pérez de los, Pfendner, C., Pieloth, D., Pinat, E., Posselt, J., Dumas, A., Price, P. B., Przybylski, G. T., Pütz, J., Quinnan, M., Raab, C., Rädel, L., Rameez, M., Rawlins, K., Reimann, R., Relich, M., Eberl, T., Resconi, E., Rhode, W., Richman, M., Richter, S., Riedel, B., Robertson, S., Rongen, M., Rott, C., Ruhe, T., Ryckbosch, D., Elsässer, D., Sabbatini, L., Sander, H. -G., Sandrock, A., Sandroos, J., Sarkar, S., Schatto, K., Scheriau, F., Schimp, M., Schmidt, T., Schmitz, M., Enzenhöfer, A., Schoenen, S., Schöneberg, S., Schönwald, A., Schulte, L., Schumacher, L., Seckel, D., Seunarine, S., Soldin, D., Song, M., Spiczak, G. M., Fehn, K., Spiering, C., Stahlberg, M., Stamatikos, M., Stanev, T., Stasik, A., Steuer, A., Stezelberger, T., Stokstad, R. G., Stößl, A., Ström, R., Felis, I., Strotjohann, N. L., Sullivan, G. W., Sutherland, M., Taavola, H., Taboada, I., Tatar, J., Ter-Antonyan, S., Terliuk, A., Tilav, S., Fermani, P., Toale, P. A., Tobin, M. N., Toscano, S., Tosi, D., Turcati, A., Unger, E., Usner, M., Vallecorsa, S., Vandenbroucke, J., Anton, G., Folger, F., van Eijndhoven, N., Vanheule, S., van Santen, J., Veenkamp, J., Vehring, M., Voge, M., Vraeghe, M., Walck, C., Wallace, A., Wallraff, M., Fusco, L. A., Wandkowsky, N., Weaver, Ch., Wendt, C., Westerhoff, S., Whelan, B. J., Wiebe, K., Wiebusch, C. H., Wille, L., Williams, D. R., Wissing, H., Galatà, S., Wolf, M., Wood, T. R., Woschnagg, K., Xu, D. L., Xu, X. W., Xu, Y., Yanez, J. P., Yodh, G., Yoshida, S., Zoll, M., Gay, P., Geißelsöder, S., Geyer, K., Giordano, V., Gleixner, A., Gracia-Ruiz, R., Graf, K., Ardid, M., Hallmann, S., van Haren, H., Heijboer, A. J., Hello, Y., Hernández-Rey, J. J., Hößl, J., Hofestädt, J., Hugon, C., James, C. W, de Jong, M., Aubert, J. -J., Kadler, M., Kalekin, O., Katz, U., Kießling, D., Kooijman, P., Kouchner, A., Kreter, M., Kreykenbohm, I., Kulikovskiy, V., Lahmann, R., Baret, B., Lefèvre, D., Leonora, E., Loucatos, S., Marcelin, M., Margiotta, A., Marinelli, A., Martínez-Mora, J. A., Mathieu, A., Michael, T., Migliozzi, P., Barrios-Martí, J., Moussa, A., Mueller, C., Nezri, E., Păvălaş, G. E., Pellegrino, C., Perrina, C., Piattelli, P., Popa, V., Pradier, T., Racca, C., Basa, S., Riccobene, G., Richter, R., Roensch, K., Saldaña, M., Samtleben, D. F. E., Sánchez-Losa, A., Sanguineti, M., Sapienza, P., Schmid, J., Schnabel, J., Physics, Elementary Particle Physics, Institut d’Investigació per a la Gestió Integrada de Zones Costaneres (IGIC), Groupe de Recherche en Physique des Hautes Energies (GRPHE), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut Universitaire de Technologie de Colmar, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Instituto de Fisica Corpuscular (IFIC), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC)-Universitat de València (UV), Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), INFN Laboratori Nazionali del Sud, Huygens-Kamerlingh Onnes Laboratorium, Universiteit Leiden [Leiden], National Institute for Subatomic Physics [Amsterdam] (NIKHEF), Universiteit van Amsterdam (UvA), Istituto Nazionale di Fisica Nucleare, Sezione di Roma 3 (INFN, Sezione di Roma 3), Istituto Nazionale di Fisica Nucleare (INFN), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), Istituto Nazionale di Fisica Nucleare, Sezione di Bologna (INFN, Sezione di Bologna), Istituto Nazionale di Fisica Nucleare, sezione di Bari (INFN, sezione di Bari), Laboratori Nazionali del Sud (INFN), Institut méditerranéen d'océanologie (MIO), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Université du Sud Toulon-Var (USTV), Géoazur (GEOAZUR 7329), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Université Paris-Sud - Paris 11 (UP11), Laboratoire de Physique Corpusculaire - Clermont-Ferrand (LPC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut für Theoretische Physik und Astrophysik [Würzburg], Julius-Maximilians-Universität Würzburg (JMU), Dipartimento di Fisica e Astronomia [Bologna], Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Istituto Nazionale di Fisica Nucleare, Sezione di Catania (INFN), Università degli studi di Catania = University of Catania (Unict), Royal Netherlands Institute for Sea Research (NIOZ), Istituto Nazionale di Fisica Nucleare, Sezione di Genova (INFN, Sezione di Genova), Faculteit Betawetenschappen, Universiteit Utrecht, D.V. Skobeltsyn Institute of Nuclear Physics (SINP), Lomonosov Moscow State University (MSU), Dipartimento di Fisica e Astronomia [Catania], CEA-Direction des sciences de la matiere, Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Istituto Nazionale di Fisica Nucleare [Pisa] (INFN), Istituto Nazionale di Fisica Nucleare, Sezione di Napoli (INFN, Sezione di Napoli), Université Mohammed Premier [Oujda], Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Dipartimento di Matematica e Fisica, Seconda Università degli Studi di Napoli, Seconda Università degli Studi di Napoli = Second University of Naples, University of South Australia [Adelaide], Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Deutsches Elektronen-Synchrotron [Zeuthen] (DESY), Helmholtz-Gemeinschaft = Helmholtz Association, University of Canterbury [Christchurch], Université libre de Bruxelles (ULB), University of Wisconsin-Madison, Oskar Klein Centre, Department of Physics (OKC), Stockholm University, Erlangen Centre for Astroparticle Physics (ECAP), Pennsylvania State University (Penn State), Penn State System, Département d'économie appliquée de l'université libre de Bruxelles (Dulbéa), Institute of Physics, University of Mainz, I. Physikalisches Institut [Aachen], Rheinisch-Westfälische Technische Hochschule Aachen University (RWTH), South Dakota School of Mines and Technology (SDSM&T), University of California [Irvine] (UC Irvine), University of California (UC), University of California [Berkeley] (UC Berkeley), Ohio State University [Columbus] (OSU), Ruhr-Universität Bochum [Bochum], University of Wuppertal, University of Maryland [Baltimore County] (UMBC), University of Maryland System, University of Kansas [Lawrence] (KU), Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Uppsala University, TU Dortmund University, Faculty of Statistics, Technische Universität Dortmund [Dortmund] (TU), Sungkyunkwan University [Suwon] (SKKU), Vrije Universiteit Brussel (VUB), University of Alberta, Georgia Institute of Technology [Atlanta], Département de Physique Nucléaire et Corpusculaire [Genève] (DPNC), Université de Genève = University of Geneva (UNIGE), University of Toronto - Department of physics, Michigan State University [East Lansing], Michigan State University System, Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University (JGU), Department of Physics and Astronomy, University of Delaware, University of Delaware [Newark], Bartol Research Institute, Humboldt University Of Berlin, Southern University and A&M College [Baton Rouge, Louisiana], Departement of Physics, Chiba University, Department of Physics, Tokyo University of Science, Noda, Chiba, Niels Bohr Institute [Copenhagen] (NBI), Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Physikalisches Institut [Bonn], Rheinische Friedrich-Wilhelms-Universität Bonn, Earthquake Research Institute [Tokyo], The University of Tokyo (UTokyo), The Open University of Japan [Chiba] (OUJ), Clark Atlanta University, Yale University [New Haven], Stony Brook University [SUNY] (SBU), State University of New York (SUNY), Université de Mons (UMons), Institut fur Physik, Humboldt Universitat zu Berlin, Department of Physics - Drexel University, Drexel University, University of Alabama [Tuscaloosa] (UA), TU Dortmund University, Germany, University of Alaska [Anchorage], University of Oxford, Universitätsklinikum Bonn (UKB), NASA Goddard Space Flight Center (GSFC), Antares, Cristofol, Danielle, Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar, Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Universiteit Leiden, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), ANTARES (IHEF, IoP, FNWI), Adrián-Martínez, S., Albert, A., André, M., Anton, G., Ardid, M., Aubert, J.-J., Baret, B., Barrios-Martí, J., Basa, S., Bertin, V., Biagi, S., Bormuth, R., Bouwhuis, M.C., Bruijn, R., Brunner, J., Busto, J., Capone, A., Caramete, L., Carr, J., Chiarusi, T., Circella, M., Coniglione, R., Costantini, H., Coyle, P., Creusot, A., Dekeyser, I., Deschamps, A., De Bonis, G., Distefano, C., Donzaud, C., Dornic, D., Drouhin, D., Dumas, A., Eberl, T., Elsässer, D., Enzenhöfer, A., Fehn, K., Felis, I., Fermani, P., Folger, F., Fusco, L.A., Galatà, S., Gay, P., Geißelsöder, S., Geyer, K., Giordano, V., Gleixner, A., Gracia-Ruiz, R., Graf, K., Hallmann, S., Van Haren, H., Heijboer, A.J., Hello, Y., Hernández-Rey, J.J., Hößl, J., Hofestädt, J., Hugon, C., James, C.W., Jong, M. De, Kadler, M., Kalekin, O., Katz, U., Kießling, D., Kooijman, P., Kouchner, A., Kreter, M., Kreykenbohm, I., Kulikovskiy, V., Lahmann, R., Lefèvre, D., Leonora, E., Loucatos, S., Marcelin, M., Margiotta, A., Marinelli, A., Martínez-Mora, J.A., Mathieu, A., Michael, T., Migliozzi, P., Moussa, A., Mueller, C., Nezri, E., Pǎvǎlaş, G.E., Pellegrino, C., Perrina, C., Piattelli, P., Popa, V., Pradier, T., Racca, C., Riccobene, G., Richter, R., Roensch, K., Saldaña, M., Samtleben, D.F.E., Sánchez-Losa, A., Sanguineti, M., Sapienza, P., Schmid, J., Schnabel, J., Schüssler, F., Seitz, T., Sieger, C., Spurio, M., Steijger, J.J.M., Stolarczyk, Th., Taiuti, M., Tamburini, C., Trovato, A., Tselengidou, M., Tönnis, C., Vallage, B., Vallée, C., Van Elewyck, V., Visser, E., Vivolo, D., Wagner, S., Wilms, J., Zornoza, J.D., Zñiga, J., Aartsen, M.G., Abraham, K., Ackermann, M., Adams, J., Aguilar, J.A., Ahlers, M., Ahrens, M., Altmann, D., Anderson, T., Ansseau, I., Archinger, M., Arguelles, C., Arlen, T.C., Auffenberg, J., Bai, X., Barwick, S.W., Baum, V., Bay, R., Beatty, J.J., Tjus, J. Becker, Becker, K.-H., Beiser, E., Berghaus, P., Berley, D., Bernardini, E., Bernhard, A., Besson, D.Z., Binder, G., Bindig, D., Bissok, M., Blaufuss, E., Blumenthal, J., Boersma, D.J., Bohm, C., Börner, M., Bos, F., Bose, D., Böser, S., Botner, O., Braun, J., Brayeur, L., Bretz, H.-P., Buzinsky, N., Casey, J., Casier, M., Cheung, E., Chirkin, D., Christov, A., Clark, K., Classen, L., Coenders, S., Cowen, D.F., Cruz Silva, A.H., Daughhetee, J., Davis, J.C., Day, M., De André, J.P.A.M., De Clercq, C., Del Pino Rosendo, E., Dembinski, H., De Ridder, S., Desiati, P., De Vries, K.D., De Wasseige, G., De With, M., De Young, T., Díaz-Vélez, J.C., Di Lorenzo, V., Dumm, J.P., Dunkman, M., Eberhardt, B., Ehrhardt, T., Eichmann, B., Euler, S., Evenson, P.A., Fahey, S., Fazely, A.R., Feintzeig, J., Felde, J., Filimonov, K., Finley, C., Fischer-Wasels, T., Flis, S., Fösig, C.-C., Fuchs, T., Gaisser, T.K., Gaior, R., Gallagher, J., Gerhardt, L., Ghorbani, K., Gier, D., Gladstone, L., Glagla, M., Glüsenkamp, T., Goldschmidt, A., Golup, G., Gonzalez, J.G., Góra, D., Grant, D., Griffith, Z., Groß, A., Ha, C., Haack, C., Haj Ismail, A., Hallgren, A., Halzen, F., Hansen, E., Hansmann, B., Hanson, K., Hebecker, D., Heereman, D., Helbing, K., Hellauer, R., Hickford, S., Hignight, J., Hill, G.C., Hoffman, K.D., Hoffmann, R., Holzapfel, K., Homeier, A., Hoshina, K., Huang, F., Huber, M., Huelsnitz, W., Hulth, P.O., Hultqvist, K., In, S., Ishihara, A., Jacobi, E., Japaridze, G.S., Jeong, M., Jero, K., Jurkovic, M., Kappes, A., Karg, T., Karle, A., Kauer, M., Keivani, A., Kelley, J.L., Kemp, J., Kheirandish, A., Kiryluk, J., Kläs, J., Klein, S.R., Kohnen, G., Koirala, R., Kolanoski, H., Konietz, R., Köpke, L., Kopper, C., Kopper, S., Koskinen, D.J., Kowalski, M., Krings, K., Kroll, G., Kroll, M., Krückl, G., Kunnen, J., Kurahashi, N., Kuwabara, T., Labare, M., Lanfranchi, J.L., Larson, M.J., Lesiak-Bzdak, M., Leuermann, M., Leuner, J., Lu, L., Lünemann, J., Madsen, J., Maggi, G., Mahn, K.B.M., Mandelartz, M., Maruyama, R., Mase, K., Matis, H.S., Maunu, R., Mcnally, F., Meagher, K., Medici, M., Meli, A., Menne, T., Merino, G., Meures, T., Miarecki, S., Middell, E., Mohrmann, L., Montaruli, T., Morse, R., Nahnhauer, R., Naumann, U., Neer, G., Niederhausen, H., Nowicki, S.C., Nygren, D.R., Obertacke Pollmann, A., Olivas, A., Omairat, A., O'Murchadha, A., Palczewski, T., Pandya, H., Pankova, D.V., Paul, L., Pepper, J.A., Pérez De Los Heros, C., Pfendner, C., Pieloth, D., Pinat, E., Posselt, J., Price, P.B., Przybylski, G.T., Pütz, J., Quinnan, M., Raab, C., Rädel, L., Rameez, M., Rawlins, K., Reimann, R., Relich, M., Resconi, E., Rhode, W., Richman, M., Richter, S., Riedel, B., Robertson, S., Rongen, M., Rott, C., Ruhe, T., Ryckbosch, D., Sabbatini, L., Sander, H.-G., Sandrock, A., Sandroos, J., Sarkar, S., Schatto, K., Scheriau, F., Schimp, M., Schmidt, T., Schmitz, M., Schoenen, S., Schöneberg, S., Schönwald, A., Schulte, L., Schumacher, L., Seckel, D., Seunarine, S., Soldin, D., Song, M., Spiczak, G.M., Spiering, C., Stahlberg, M., Stamatikos, M., Stanev, T., Stasik, A., Steuer, A., Stezelberger, T., Stokstad, R.G., Stößl, A., Ström, R., Strotjohann, N.L., Sullivan, G.W., Sutherland, M., Taavola, H., Taboada, I., Tatar, J., Ter-Antonyan, S., Terliuk, A., Tešić, G., Tilav, S., Toale, P.A., Tobin, M.N., Toscano, S., Tosi, D., Turcati, A., Unger, E., Usner, M., Vallecorsa, S., Vandenbroucke, J., Van Eijndhoven, N., Vanheule, S., Van Santen, J., Veenkamp, J., Vehring, M., Voge, M., Vraeghe, M., Walck, C., Wallace, A., Wallraff, M., Wandkowsky, N., Weaver, Ch., Wendt, C., Westerhoff, S., Whelan, B.J., Wiebe, K., Wiebusch, C.H., Wille, L., Williams, D.R., Wissing, H., Wolf, M., Wood, T.R., Woschnagg, K., Xu, D.L., Xu, X.W., Xu, Y., Yanez, J.P., Yodh, G., Yoshida, S., Zoll, M., Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN), Julius-Maximilians-Universität Würzburg [Wurtzbourg, Allemagne] (JMU), Università degli studi di Catania [Catania], Seconda Università degli studi di Napoli, Rheinisch-Westfälische Technische Hochschule Aachen (RWTH), University of California [Irvine] (UCI), University of California, University of California [Berkeley], The Oskar Klein Centre for Cosmoparticle Physics and Department of Physics, Stockholm University, Department of Physics, University of Alberta, Edmonton, Alberta, Canada, Université de Genève (UNIGE), Johannes Gutenberg - Universität Mainz (JGU), Institut für Physik, Humboldt-Universität zu Berlin, Newtonstr. 15, D-12489 Berlin, Germany, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Humboldt-Universität zu Berlin, University of Oxford [Oxford], Adrian-Martinez, S, Albert, A, Andre, M, Anton, G, Ardid, M, Aubert, Jj, Baret, B, Barrios-Marti, J, Basa, S, Bertin, V, Biagi, S, Bormuth, R, Bouwhuis, Mc, Bruijn, R, Brunner, J, Busto, J, Capone, A, Caramete, L, Carr, J, Chiarusi, T, Circella, M, Coniglione, R, Costantini, H, Coyle, P, Creusot, A, Dekeyser, I, Deschamps, A, De Bonis, G, Distefano, C, Donzaud, C, Dornic, D, Drouhin, D, Dumas, A, Eberl, T, Elsasser, D, Enzenhofer, A, Fehn, K, Felis, I, Fermani, P, Folger, F, Fusco, La, Galata, S, Gay, P, Geisselsoder, S, Geyer, K, Giordano, V, Gleixner, A, Gracia-Ruiz, R, Graf, K, Hallmann, S, van Haren, H, Heijboer, Aj, Hello, Y, Hernandez-Rey, Jj, Hossl, J, Hofestadt, J, Hugon, C, James, Cw, de Jong, M, Kadler, M, Kalekin, O, Katz, U, Kiessling, D, Kooijman, P, Kouchner, A, Kreter, M, Kreykenbohm, I, Kulikovskiy, V, Lahmann, R, Lefevre, D, Leonora, E, Loucatos, S, Marcelin, M, Margiotta, A, Marinelli, A, Martinez-Mora, Ja, Mathieu, A, Michael, T, Migliozzi, P, Moussa, A, Mueller, C, Nezri, E, Pavalas, Ge, Pellegrino, C, Perrina, C, Piattelli, P, Popa, V, Pradier, T, Racca, C, Riccobene, G, Richter, R, Roensch, K, Saldana, M, Samtleben, Dfe, Sanchez-Losa, A, Sanguineti, M, Sapienza, P, Schmid, J, Schnabel, J, Schussler, F, Seitz, T, Sieger, C, Spurio, M, Steijger, Jjm, Stolarczyk, T, Taiuti, M, Tamburini, C, Trovato, A, Tselengidou, M, Tonnis, C, Vallage, B, Vallee, C, Van Elewyck, V, Visser, E, Vivolo, D, Wagner, S, Wilms, J, Zornoza, Jd, Zuniga, J, Aartsen, Mg, Abraham, K, Ackermann, M, Adams, J, Aguilar, Ja, Ahlers, M, Ahrens, M, Altmann, D, Anderson, T, Ansseau, I, Archinger, M, Arguelles, C, Arlen, Tc, Auffenberg, J, Bai, X, Barwick, Sw, Baum, V, Bay, R, Beatty, Jj, Tjus, Jb, Becker, Kh, Beiser, E, Berghaus, P, Berley, D, Bernardini, E, Bernhard, A, Besson, Dz, Binder, G, Bindig, D, Bissok, M, Blaufuss, E, Blumenthal, J, Boersma, Dj, Bohm, C, Borner, M, Bos, F, Bose, D, Boser, S, Botner, O, Braun, J, Brayeur, L, Bretz, Hp, Buzinsky, N, Casey, J, Casier, M, Cheung, E, Chirkin, D, Christov, A, Clark, K, Classen, L, Coenders, S, Cowen, Df, Silva, Ahc, Daughhetee, J, Davis, Jc, Day, M, de Andre, Jpam, De Clercq, C, Rosendo, Ed, Dembinski, H, De Ridder, S, Desiati, P, de Vries, Kd, de Wasseige, G, de With, M, De Young, T, Diaz-Velez, Jc, di Lorenzo, V, Dumm, Jp, Dunkman, M, Eberhardt, B, Ehrhardt, T, Eichmann, B, Euler, S, Evenson, Pa, Fahey, S, Fazely, Ar, Feintzeig, J, Felde, J, Filimonov, K, Finley, C, Fischer-Wasels, T, Flis, S, Fosig, Cc, Fuchs, T, Gaisser, Tk, Gaior, R, Gallagher, J, Gerhardt, L, Ghorbani, K, Gier, D, Gladstone, L, Glagla, M, Glusenkamp, T, Goldschmidt, A, Golup, G, Gonzalez, Jg, Gora, D, Grant, D, Griffith, Z, Gross, A, Ha, C, Haack, C, Ismail, Ah, Hallgren, A, Halzen, F, Hansen, E, Hansmann, B, Hanson, K, Hebecker, D, Heereman, D, Helbing, K, Hellauer, R, Hickford, S, Hignight, J, Hill, Gc, Hoffman, Kd, Hoffmann, R, Holzapfel, K, Homeier, A, Hoshina, K, Huang, F, Huber, M, Huelsnitz, W, Hulth, Po, Hultqvist, K, In, S, Ishihara, A, Jacobi, E, Japaridze, G, Jeong, M, Jero, K, Jurkovic, M, Kappes, A, Karg, T, Karle, A, Kauer, M, Keivani, A, Kelley, Jl, Kemp, J, Kheirandish, A, Kiryluk, J, Klas, J, Klein, Sr, Kohnen, G, Koirala, R, Kolanoski, H, Konietz, R, Kopke, L, Kopper, C, Kopper, S, Koskinen, Dj, Kowalski, M, Krings, K, Kroll, G, Kroll, M, Kruckl, G, Kunnen, J, Kurahashi, N, Kuwabara, T, Labare, M, Lanfranchi, Jl, Larson, Mj, Lesiak-Bzdak, M, Leuermann, M, Leuner, J, Lu, L, Lunemann, J, Madsen, J, Maggi, G, Mahn, Kbm, Mandelartz, M, Maruyama, R, Mase, K, Matis, H, Maunu, R, Mcnally, F, Meagher, K, Medici, M, Meli, A, Menne, T, Merino, G, Meures, T, Miarecki, S, Middell, E, Mohrmann, L, Montaruli, T, Morse, R, Nahnhauer, R, Naumann, U, Neer, G, Niederhausen, H, Nowicki, Sc, Nygren, Dr, Pollmann, Ao, Olivas, A, Omairat, A, O'Murchadha, A, Palczewski, T, Pandya, H, Pankova, Dv, Paul, L, Pepper, Ja, de los Heros, Cp, Pfendner, C, Pieloth, D, Pinat, E, Posselt, J, Price, Pb, Przybylski, Gt, Putz, J, Quinnan, M, Raab, C, Radel, L, Rameez, M, Rawlins, K, Reimann, R, Relich, M, Resconi, E, Rhode, W, Richman, M, Richter, S, Riedel, B, Robertson, S, Rongen, M, Rott, C, Ruhe, T, Ryckbosch, D, Sabbatini, L, Sander, Hg, Sandrock, A, Sandroos, J, Sarkar, S, Schatto, K, Scheriau, F, Schimp, M, Schmidt, T, Schmitz, M, Schoenen, S, Schoneberg, S, Schonwald, A, Schulte, L, Schumacher, L, Seckel, D, Seunarine, S, Soldin, D, Song, M, Spiczak, Gm, Spiering, C, Stahlberg, M, Stamatikos, M, Stanev, T, Stasik, A, Steuer, A, Stezelberger, T, Stokstad, Rg, Stossl, A, Strom, R, Strotjohann, Nl, Sullivan, Gw, Sutherland, M, Taavola, H, Taboada, I, Tatar, J, Ter-Antonyan, S, Terliuk, A, Tesic, G, Tilav, S, Toale, Pa, Tobin, Mn, Toscano, S, Tosi, D, Turcati, A, Unger, E, Usner, M, Vallecorsa, S, Vandenbroucke, J, van Eijndhoven, N, Vanheule, S, van Santen, J, Veenkamp, J, Vehring, M, Voge, M, Vraeghe, M, Walck, C, Wallace, A, Wallraff, M, Wandkowsky, N, Weaver, C, Wendt, C, Westerhoff, S, Whelan, Bj, Wiebe, K, Wiebusch, Ch, Wille, L, Williams, Dr, Wissing, H, Wolf, M, Wood, Tr, Woschnagg, K, Xu, Dl, Xu, Xw, Xu, Y, Yanez, Jp, Yodh, G, Yoshida, S, Zoll, M, Institut Universitaire de Technologie de Colmar-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Aix Marseille Université (AMU), PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Consejo Superior de Investigaciones Científicas [Spain] (CSIC)-Universitat de València (UV), National Institute for Subatomic Physics Nikhef [Amsterdam] (NIKHEF), National Institute for Nuclear Physics (INFN), Università degli Studi di Roma 'La Sapienza' [Rome], Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA), Institut für Theoretische Physik und Astrophysik [Wurzburg], Università di Bologna [Bologna] (UNIBO), University Mohammed First, Oujda, Morocco, Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Technische Universität München [München] (TUM), Helmholtz-Gemeinschaft, Université Libre de Bruxelles [Bruxelles] (ULB), Vrije Universiteit [Brussels] (VUB), Johannes Gutenberg - University of Mainz (JGU), The University of Tokyo, Humboldt Universität zu Berlin, Centre Tecnològic de Vilanova i la Geltrú, Universitat Politècnica de Catalunya. LAB - Laboratori d'Aplicacions Bioacústiques, Adrian-Martinez, S., Andre, M., Aubert, J. -J., Barrios-Marti, J., Bouwhuis, M. C., Elsasser, D., Enzenhofer, A., Fusco, L. A., Galata, S., Geisselsoder, S., Heijboer, A. J., Hernandez-Rey, J. J., Hossl, J., Hofestadt, J., James, C. W., Jong, M. D., Kiessling, D., Lefevre, D., Martinez-Mora, J. A., Pavalas, G. E., Saldana, M., Samtleben, D. F. E., Sanchez-Losa, A., Schussler, F., Steijger, J. J. M., Stolarczyk, T., Tonnis, C., Vallee, C., Zornoza, J. D., Zniga, J., Aartsen, M. G., Aguilar, J. A., Arlen, T. C., Barwick, S. W., Beatty, J. J., Tjus, J. B., Becker, K. -H., Besson, D. Z., Boersma, D. J., Borner, M., Boser, S., Bretz, H. -P., Cowen, D. F., Cruz Silva, A. H., Davis, J. C., De Andre, J. P. A. M., De Vries, K. D., Diaz-Velez, J. C., Dumm, J. P., Evenson, P. A., Fazely, A. R., Fosig, C. -C., Gaisser, T. K., Glusenkamp, T., Gonzalez, J. G., Gora, D., Gross, A., Hill, G. C., Hoffman, K. D., Hulth, P. O., Japaridze, G. S., Kelley, J. L., Klas, J., Klein, S. R., Kopke, L., Koskinen, D. J., Kruckl, G., Lanfranchi, J. L., Larson, M. J., Lunemann, J., Mahn, K. B. M., Matis, H. S., Nowicki, S. C., Nygren, D. R., Pankova, D. V., Pepper, J. A., Perez De Los Heros, C., Price, P. B., Przybylski, G. T., Putz, J., Radel, L., Sander, H. -G., Schoneberg, S., Schonwald, A., Spiczak, G. M., Stokstad, R. G., Stossl, A., Strom, R., Strotjohann, N. L., Sullivan, G. W., Tesic, G., Toale, P. A., Tobin, M. N., Weaver, C., Whelan, B. J., Wiebusch, C. H., Williams, D. R., Wood, T. R., Xu, D. L., Xu, X. W., and Yanez, J. P.

Subjects
HIGH-ENERGY NEUTRINOS, Astrofísica, [SDU.ASTR.HE] Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE], astroparticle physics, neutrinos, Ciencias Físicas, Astronomy, Performance, NEUTRINO ASTRONOMY, Flux, Astrophysics, 01 natural sciences, 7. Clean energy, High Energy Physics - Experiment, purl.org/becyt/ford/1 [https], High Energy Physics - Experiment (hep-ex), neutrino, Microquasars, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], 010303 astronomy & astrophysics, Space and Planetary Science, Astronomy and Astrophysics, media_common, High Energy Astrophysical Phenomena (astro-ph.HE), Physics, SUPERNOVA-REMNANTS, [SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE], Astrophysics::Instrumentation and Methods for Astrophysics, astroparticle physic, Data analysis, Neutrino, Astrophysics - High Energy Astrophysical Phenomena, CIENCIAS NATURALES Y EXACTAS, Southern sky, Particle physics, [PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex], media_common.quotation_subject, Astrophysics::High Energy Astrophysical Phenomena, Flux predictions, FOS: Physical sciences, Emission, 0103 physical sciences, Hight-energy neutrinos, Point (geometry), Neutrins, Neutrinos, Southern Hemisphere, Telescopis, 010308 nuclear & particles physics, Detector, purl.org/becyt/ford/1.3 [https], Astronomía, Physics and Astronomy, Sky, FISICA APLICADA, Física::Astronomia i astrofísica [Àrees temàtiques de la UPC], Tev, Neutrino telescopes, Astroparticle physics, Supernova-remmants, Energy (signal processing), Telescopes
Abstract

We present the results of searches for point-like sources of neutrinos based on the first combined analysis of data from both the ANTARES and IceCube neutrino telescopes. The combination of both detectors, which differ in size and location, forms a window in the southern sky where the sensitivity to point sources improves by up to a factor of 2 compared with individual analyses. Using data recorded by ANTARES from 2007 to 2012, and by IceCube from 2008 to 2011, we search for sources of neutrino emission both across the southern sky and from a preselected list of candidate objects. No signicant excess over background has been found in these searches, and flux upper limits for the candidate sources are presented for E-2.5 and E-2 power-law spectra with different energy cut-offs., The authors of the IceCube collaboration acknowledge the support from the following agencies: U.S. National Science Foundation-Office of Polar Programs, U.S. National Science Foundation-Physics Division, University of Wisconsin Alumni Research Foundation, the Grid Laboratory Of Wisconsin (GLOW) grid infrastructure at the University of Wisconsin-Madison, the Open Science Grid (OSG) grid infrastructure; U.S. Department of Energy, and National Energy Research Scientific Computing Center, the Louisiana Optical Network Initiative (LONI) grid computing resources; Natural Sciences and Engineering Research Council of Canada, WestGrid and Compute/Calcul Canada; Swedish Research Council, Swedish Polar Research Secretariat, Swedish National Infrastructure for Computing (SNIC), and Knut and Alice Wallenberg Foundation, Sweden; German Ministry for Education and Research (BMBF), Deutsche Forschungsgemeinschaft (DFG), Helmholtz Alliance for Astroparticle Physics (HAP), Research Department of Plasmas with Complex Interactions (Bochum), Germany; Fund for Scientific Research (FNRS-FWO), FWO Odysseus programme, Flanders Institute to encourage scientific and technological research in industry (IWT), Belgian Federal Science Policy Office (Belspo); University of Oxford, United Kingdom; Marsden Fund, New Zealand; Australian Research Council; Japan Society for Promotion of Science (JSPS); the Swiss National Science Foundation (SNSF), Switzerland; National Research Foundation of Korea (NRF); Danish National Research Foundation, Denmark (DNRF).

Published
2016

227. Optimization of automated online fabric inspection by fast Fourier transform (FFT) and cross-correlation

Author

Jean-Yves Drean, Jean-François Osselin, Abdel Salam Malek, Laurent Bigue, Laboratoire de Physique et Mécanique Textiles (LPMT), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-ENSITM-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Faculty of Industrial Education, Suez Canal University, Modélisation, Intelligence, Processus et Système (MIPS), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Université de Haute Alsace, SCD, ENSITM-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse

Subjects
010407 polymers, Engineering, Polymers and Plastics, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Cross-correlation, Fast Fourier transform, 02 engineering and technology, 01 natural sciences, Image (mathematics), [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Fabric defects, Chemical Engineering (miscellaneous), Computer vision, MATLAB, Fabric inspection, Fast Fourier transforms, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, computer.programming_language, business.industry, Process (computing), Filter (signal processing), 021001 nanoscience & nanotechnology, Thresholding, 0104 chemical sciences, Artificial intelligence, Defect detection parameters, 0210 nano-technology, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, computer, Computer technology
Abstract

International audience; Fabric inspection has an importance to prevent the risk of delivering inferior quality product. Until recently, the process was still undertaken offline and manually by humans, which has many drawbacks. The continuous development in computer technology introduces the automated fabric inspection as an effective alternative. In our work, Fast Fourier Transform and Cross-correlation techniques, i.e. linear operations, are first implemented to examine the structure regularity features of the fabric image in the spatial domain. To improve the efficiency of the technique and overcome the problem of detection errors, further thresholding operation is implemented using a level selection filter. Through this filter, the technique is able to detect only the actual or real defects and highlight its exact dimensions. A software package such as Matlab or Scilab is used for this procedure. It is implemented firstly on a simulated plain fabric to determine the most important parameters during the process of defect detection and then to optimize each of them even considering noise. To verify the success of the technique, it is implemented on real plain fabric samples with different colors containing various defects. Several results of the proposed technique for the simulated and real plain fabric structures with the most common defects are presented. Finally, a vision-based fabric inspection prototype that could be accomplished on-loom to inspect the fabric under construction with 100% coverage is proposed.

Published
2012

228. Model order-reduction for discrete-time switched linear systems

Author

Abderazik Birouche, Michel Basset, Benjamin Mourllion, Modélisation, Intelligence, Processus et Système (MIPS), and Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse

Subjects
Model order reduction, balanced truncation, Linear system, robust stability, hybrid systems, Balanced truncation, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Computer Science Applications, Theoretical Computer Science, switched linear systems, Discrete time and continuous time, Control and Systems Engineering, Control theory, Reachability, Hybrid system, Observability, model order-reduction, Invariant (mathematics), Gramians, Mathematics
Abstract

International audience; This article describes the problem of model order-reduction for a class of hybrid discrete-time switched linear systems composed of linear discrete-time invariant subsystems with a switching rule. This article investigates two novel approaches to model order-reduction. The first approach consists in evaluating the error approximation performance; the problems are solved using the robust stability results of the switched systems. The second approach presents the reachability and observability Gramians of the switched systems, which allows a balanced truncation model reduction procedure. A numerical example shows the effectiveness of the proposed approaches.

Published
2012

229. Search for relativistic magnetic monopoles with the ANTARES neutrino telescope

Author

ANTARES Collaboration, Adrián-Martínez, S., Aguilar, J. A., Samarai, I. Al, Albert, A., André, M., Anghinolfi, M., Anton, G., Anvar, S., Ardid, M., Jesus, A. C. Assis, Astraatmadja, T., Aubert, J-J., Baret, B., Basa, S., Bertin, V., Biagi, S., Bigongiari, C., Bogazzi, C., Bou-Cabo, M., Bouhou, B., Bouwhuis, M. C., Brunner, J., Busto, J., Camarena, F., Capone, A., Cârloganu, C., Carminati, G., Carr, J., Cecchini, S., Charif, Z., Charvis, Ph., Chiarusi, T., Circella, M., Costantini, H., Coyle, P., Curtil, C., Decowski, M. P., Dekeyser, I., Deschamps, A., Distefano, C., Donzaud, C., Dornic, D., Dorosti, Q., Drouhin, D., Eberl, T., Emanuele, U., Enzenhöfer, A., Ernenwein, J-P., Escoffier, S., Fermani, P., Ferri, M., Flaminio, V., Folger, F., Fritsch, U., Fuda, J-L., Galatà, S., Gay, P., Giacomelli, G., Giordano, V., Gómez-González, J. P., Graf, K., Guillard, G., Halladjian, G., Hallewell, G., van Haren, H., Hartman, J., Heijboer, A. J., Hello, Y., Hernández-Rey, J. J., Herold, B., Hößl, J., Hsu, C. C., de Jong, M., Kadler, M., Kalekin, O., Kappes, A., Katz, U., Kavatsyuk, O., Kooijman, P., Kopper, C., Kouchner, A., Kreykenbohm, I., Kulikovskiy, V., Lahmann, R., Lamare, P., Larosa, G., Lattuada, D., Lefèvre, D., Lim, G., Presti, D. Lo, Loehner, H., Loucatos, S., Mangano, S., Marcelin, M., Margiotta, A., Martínez-Mora, J. A., Meli, A., Montaruli, T., Morganti, M., Moscoso, L., Motz, H., Neff, M., Nezri, E., Palioselitis, D., Păvălaş, G. E., Payet, K., Payre, P., Petrovic, J., Piattelli, P., Picot-Clemente, N., Popa, V., Pradier, T., Presani, E., Racca, C., Reed, C., Riccobene, G., Richardt, C., Richter, R., Rivière, C., Robert, A., Roensch, K., Rostovtsev, A., Ruiz-Rivas, J., Rujoiu, M., Russo, G. V., Salesa, F., Sapienza, P., Schöck, F., Schuller, J-P., Schüssler, F., Seitz, T., Shanidze, R., Simeone, F., Spies, A., Spurio, M., Steijger, J. J. M., Stolarczyk, Th., Sánchez-Losa, A., Taiuti, M., Tamburini, C., Toscano, S., Vallage, B., Van Elewyck, V., Vannoni, G., Vecchi, M., Vernin, P., Wagner, S., Wijnker, G., Wilms, J., de Wolf, E., Yepes, H., Zaborov, D., Zornoza, J. D., Zúñiga, J., Centre Tecnològic de Vilanova i la Geltrú, Universitat Politècnica de Catalunya. LAB - Laboratori d'Aplicacions Bioacústiques, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Groupe de Recherche en Physique des Hautes Energies (GRPHE), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar, Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Département d'Electronique, des Détecteurs et d'Informatique pour la Physique (ex SEDI) (DEDIP), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Corpusculaire - Clermont-Ferrand (LPC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Géoazur (GEOAZUR 6526), Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Centre d'océanologie de Marseille (COM), Université de la Méditerranée - Aix-Marseille 2-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), ANTARES, S. ADRIÁN-MARTÍNEZ, J.A. AGUILAR, I. AL SAMARAI, A. ALBERT, M. ANDRÉ, M. ANGHINOLFI, G. ANTON, S. ANVAR, M. ARDID, A.C. ASSIS JESUS, T. ASTRAATMADJA, J-J. AUBERT, B. BARET, S. BASA, V. BERTIN, S. BIAGI, C. BIGONGIARI, C. BOGAZZI, M. BOU-CABO, B. BOUHOU, M.C. BOUWHUIS, J. BRUNNER, J. BUSTO, F. CAMARENA, A. CAPONE, C. CÂRLOGANU, G. CARMINATI, J. CARR, S. CECCHINI, Z. CHARIF, PH. CHARVIS, T. CHIARUSI, M. CIRCELLA, H. COSTANTINI, P. COYLE, C. CURTIL, M.P. DECOWSKI, I. DEKEYSER, A. DESCHAMPS, C. DISTEFANO, C. DONZAUD, D. DORNIC, Q. DOROSTI, D. DROUHIN, T. EBERL, U. EMANUELE, A. ENZENHÖFER, J.-P. ERNENWEIN, S. ESCOFFIER, P. FERMANI, M. FERRI, V. FLAMINIO, F. FOLGER, U. FRITSCH, J.-L. FUDA, S. GALATÀ, P. GAY, G. GIACOMELLI, V. GIORDANO, J.P. GÓMEZ-GONZÁLEZ, K. GRAF, G. GUILLARD, G. HALLADJIAN, G. HALLEWELL, H. VAN HAREN, J. HARTMAN, A.J. HEIJBOER, Y. HELLO, J.J. HERNÁNDEZ-REY, B. HEROLD, J. HÖßL, C.C. HSU, M. DE JONG, M. KADLER, O. KALEKIN, A. KAPPES, U. KATZ, O. KAVATSYUK, P. KOOIJMAN, C. KOPPER, A. KOUCHNER, I. KREYKENBOHM, V. KULIKOVSKIY, R. LAHMANN, P. LAMARE, G. LAROSA, D. LATTUADA, D. LEFÈVRE, G. LIM, D. LO PRESTI, H. LOEHNER, S. LOUCATOS, S. MANGANO, M. MARCELIN, A. MARGIOTTA, J.A. MARTÍNEZ-MORA, A. MELI, T. MONTARULI, M. MORGANTI, L. MOSCOSO, H. MOTZ, M. NEFF, E. NEZRI, D. PALIOSELITIS, G.E. PA˘VA˘LAS, K. PAYET, P. PAYRE, J. PETROVIC, P. PIATTELLI, N. PICOT-CLEMENTE, V. POPA, T. PRADIER, E. PRESANI, C. RACCA, C. REED, G. RICCOBENE, C. RICHARDT, R. RICHTER, C. RIVIÈRE, A. ROBERT, K. ROENSCH, A. ROSTOVTSEV, J. RUIZ-RIVAS, M. RUJOIU, G.V. RUSSO, F. SALESA, P. SAPIENZA, F. SCHÖCK, J-P. SCHULLER, F. SCHÜSSLER, T. SEITZ, R. SHANIDZE, F. SIMEONE, A. SPIES, M. SPURIO, J.J.M. STEIJGER, TH. STOLARCZYK, A. SÁNCHEZ-LOSA, M. TAIUTI, C. TAMBURINI, S. TOSCANO, B. VALLAGE, V. VAN ELEWYCK, G. VANNONI, M. VECCHI, P. VERNIN, S. WAGNER, G. WIJNKER, J. WILMS, E. DE WOLF, H. YEPES, D. ZABOROV, J.D. ZORNOZA, J. ZÚÑIGA, Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut Universitaire de Technologie de Colmar, Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Centre National d'Études Spatiales [Toulouse] (CNES), Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de la Méditerranée - Aix-Marseille 2, Université de Strasbourg (UNISTRA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), ANTARES (IHEF, IoP, FNWI), KVI - Center for Advanced Radiation Technology, Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Aix Marseille Université (AMU), Institut Universitaire de Technologie de Colmar-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Département d'Electronique, des Détecteurs et d'Informatique (ex SEDI) (DEDI), APC - Astrophysique des Hautes Energies (APC - AHE), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Dipartimento di Astronomia, Universita degli Studi di Bologna, Università di Bologna [Bologna] (UNIBO)-Università di Bologna [Bologna] (UNIBO), PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud - Paris 11 (UP11), and Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
FLUX, Muon background, Particle physics, Gauge model, Magnetic monopoles, Astrophysics::High Energy Astrophysical Phenomena, Magnetic monopole, neutrino telescopes, antares, magnetic monopole, FOS: Physical sciences, Cosmic ray, 01 natural sciences, Nuclear physics, 0103 physical sciences, Neutron, FIELD, 010306 general physics, DETECTOR, Cherenkov radiation, Zenith, High Energy Astrophysical Phenomena (astro-ph.HE), Neutrons, Physics, SPECTRUM, Atmospheric neutrinos, ANTARES, Física::Acústica [Àrees temàtiques de la UPC], Muon, Charged particles, 010308 nuclear & particles physics, Astronomy and Astrophysics, Monopols magnètics, Upper limits, Neutrino detector, Mass scale, FISICA APLICADA, [PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph], Física nuclear, Data sets, Neutrino telescopes, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - High Energy Astrophysical Phenomena, Event (particle physics), Telescopes
Abstract

Magnetic monopoles are predicted in various unified gauge models and could be produced at intermediate mass scales. Their detection in a neutrino telescope is facilitated by the large amount of light emitted compared to that from muons. This paper reports on a search for upgoing relativistic magnetic monopoles with the ANTARES neutrino telescope using a data set of 116 days of live time taken from December 2007 to December 2008. The one observed event is consistent with the expected atmospheric neutrino and muon background, leading to a 90% C.L. upper limit on the monopole flux between 1.3 ¿ 10¿17 and 8.9 ¿ 10¿17 cm¿2 s¿1 sr¿1 for monopoles with velocity ß ¿ 0.625., The authors acknowledge the financial support of the funding agencies: Centre National de la Recherche Scientifique (CNRS), Commissariat a l' energie atomique et aux energies alternatives (CEA), Agence Nationale de la Recherche (ANR), Commission Europeenne (FEDER fund and Marie Curie Program), Region Alsace (contrat CPER), Region Provence-Alpes-Cote d'Azur, Departement du Var and Ville de La Seyne-sur-Mer, France: Bundesministerium fur Bildung und Forschung (BMBF), Germany; Istituto Nazionale di Fisica Nucleare (INFN), Italy; Stichting voor Fundamenteel Onderzoek der Materie (FOM), Nederlandse organisatie voor Wetenschappelijk Onderzoek (NWO), The Netherlands; Council of the President of the Russian Federation for young scientists and leading scientific schools supporting grants, Russia; National Authority for Scientific Research (ANCS), Romania; Ministerio de Ciencia e Innovacion (MICINN), Prometeo of Generalitat Valenciana (GVA) and MultiDark, Spain. We also acknowledge the technical support of Ifremer, AIM and Foselev Marine for the sea operation and the CC- IN2P3 for the computing facilities

Published
2012

230. Memory integer model parameters based on polyurethane foam experimental compression tests

Author

Evelyne Aubry, Hamdi Jmal, Raphaël Dupuis, Modélisation, Intelligence, Processus et Système (MIPS), and Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse

Subjects
Materials science, Model parameters, linear viscoelasticity, [SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph], Compression (physics), thermodynamics conditions of model, chemistry.chemical_compound, chemistry, memory integer model, identification parameters, General Materials Science, Composite material, quasi-static behaviour, Flexible polyurethane foam, Integer (computer science), Polyurethane
Abstract

International audience; The polyurethane foam (PU) undergoing large compressive deformation exhibits highly nonlinear elasticity and viscoelastic behaviour. The principal aim of this paper is to modeling this behaviour using a memory integer model which describes the nonlinearity by polynomial function and the viscoelasticity by convolution function. A unidirectional compression tests are considered to identify experimentally the mechanical parameters of model. The difference between force responses of foam in load and unload phases constitute the base element of the identification methodology. Many precautions are taken into account to find accurate results that verify thermodynamics conditions. Finally, the reliability and also the limits of the memory integer model are discussed.

Published
2012

231. Measurement of atmospheric neutrino oscillations with the ANTARES neutrino telescope

Author

C. Vallée, V. Giordano, M. Taiuti, H. Loehner, M. Ferri, M. Circella, J.-P. Ernenwein, K. Fehn, Y. Hello, C. Richardt, R. Richter, Alexander Kappes, U. Emanuele, M. Neff, A. Rostovtsev, J. Carr, A. Sánchez-Losa, C. Donzaud, M. Morganti, S. Galatà, A. Spies, D. Zaborov, C. Carloganu, M. P. Decowski, M. de Jong, F. M. Schoeck, Miguel Ardid, U. Fritsch, I. Dekeyser, Anne Deschamps, P.M. Kooijman, C. Distefano, D. F. E. Samtleben, Anne Robert, G. De Bonis, Giuseppina Larosa, Dominique Lefèvre, H. Yepes, A. Trovato, J.P. Gómez-González, A. Kouchner, M. Anghinolfi, Jürgen Brunner, Q. Dorosti, Tri L. Astraatmadja, Z. Charif, C. M. Reed, P. Vernin, L. Core, A. Gleixner, L. Moscoso, K. Payet, S. Anvar, F. Schuessler, M. Marcelin, Vladimir Kulikovskiy, Athina Meli, S. Cecchini, Juan José Hernández-Rey, Manuel Bou-Cabo, Francesco Simeone, Jörn Wilms, D. Lo Presti, A. Capone, Jos Steijger, T. Seitz, Thomas Eberl, G. Guillard, I. Al Samarai, R. Coniglione, G.E. Păvălaş, F. Louis, Teresa Montaruli, C. Rivière, V. Bertin, S. Ferry, Th. Stolarczyk, D. Dornic, Gisela Anton, S. Mangano, Guillaume Lambard, I. Kreykenbohm, M. Vecchi, S. Loucatos, B. Baret, M. Hamal, E. Visser, H. van Haren, Oleg Kalekin, G. Lim, A. Creusot, C. Bogazzi, Matthias Kadler, Christian Tamburini, Ph. Charvis, C. C. Hsu, E. Nezri, B. Vallage, C. Curtil, K. Geyer, D. Lattuada, S. Adrián-Martínez, Holger Motz, Maurizio Spurio, F. Folger, Robert Lahmann, A.J. Heijboer, E. Presani, B. Herold, Gregory David Hallewell, Tommaso Chiarusi, C. Kopper, J. Schmid, K. Roensch, J.-L. Fuda, Paolo Fermani, S. Wagner, Michel André, O. Kavatsyuk, Arnauld Albert, S. Basa, V. Van Elewyck, J. P. Schuller, J. Petrovic, C. Racca, Rezo Shanidze, P. Coyle, G. Giacomelli, Uli Katz, D. Palioselitis, Doriane Drouhin, G.V. Russo, A. Enzenhoefer, E. A. De Wolf, Jose Busto, G. Wijnker, Annarita Margiotta, J. Zúñiga, S. Biagi, Heide Costantini, J. Ruiz-Rivas, M.C. Bouwhuis, J.A. Martínez-Mora, Piera Sapienza, V. Flaminio, B. Bouhou, V. Popa, M. Rujoiu, Stephanie Escoffier, J-J. Aubert, Giorgio Riccobene, J.D. Zornoza, Kay Graf, T. Pradier, Jutta Schnabel, J. Hoessl, Ciro Bigongiari, Paolo Piattelli, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Groupe de Recherche en Physique des Hautes Energies (GRPHE), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut Universitaire de Technologie de Colmar, Département d'Electronique, des Détecteurs et d'Informatique pour la Physique (ex SEDI) (DEDIP), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, AstroParticule et Cosmologie (APC (UMR_7164)), Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Laboratoire de Physique Corpusculaire - Clermont-Ferrand (LPC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre d'océanologie de Marseille (COM), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de la Méditerranée - Aix-Marseille 2, Département de Physique des Particules (ex SPP) (DPP), Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des technologies de la microélectronique (LTM), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS), ANTARES, Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar, Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université de la Méditerranée - Aix-Marseille 2-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Département de Physique des Particules (ex SPP) (DPhP), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université Joseph Fourier - Grenoble 1 (UJF)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS), Centre Tecnològic de Vilanova i la Geltrú, Universitat Politècnica de Catalunya. LAB - Laboratori d'Aplicacions Bioacústiques, Montaruli, Teresa, Antares, Collaboration, S., Adrián-Martínez, I., Al Samarai, A., Albert, M., André, M., Anghinolfi, G., Anton, S., Anvar, M., Ardid, T., Astraatmadja, Aubert, J. -J., B., Baret, S., Basa, V., Bertin, S., Biagi, C., Bigongiari, C., Bogazzi, M., Bou-Cabo, B., Bouhou, Bouwhuis, M. C., J., Brunner, J., Busto, A., Capone, C., Cârloganu, J., Carr, S., Cecchini, Z., Charif, Ph., Charvi, T., Chiarusi, M., Circella, R., Coniglione, L., Core, H., Costantini, P., Coyle, A., Creusot, C., Curtil, G., De Boni, Decowski, M. P., I., Dekeyser, A., Deschamp, C., Distefano, C., Donzaud, D., Dornic, Q., Dorosti, D., Drouhin, T., Eberl, U., Emanuele, A., Enzenhöfer, Ernenwein, J. -P., S., Escoffier, K., Fehn, P., Fermani, M., Ferri, S., Ferry, V., Flaminio, F., Folger, U., Fritsch, Fuda, J. -L., S., Galatà, P., Gay, K., Geyer, G., Giacomelli, V., Giordano, A., Gleixner, Gómez-González, J. P., K., Graf, G., Guillard, G., Hallewell, M., Hamal, H., van Haren, Heijboer, A. J., Y., Hello, Hernández-Rey, J. J., B., Herold, J., Hößl, Hsu, C. C., M., de Jong, M., Kadler, O., Kalekin, A., Kappe, U., Katz, O., Kavatsyuk, P., Kooijman, C., Kopper, A., Kouchner, I., Kreykenbohm, V., Kulikovskiy, R., Lahmann, G., Lambard, G., Larosa, D., Lattuada, D., Lefèvre, G., Lim, D., Lo Presti, H., Loehner, S., Loucato, F., Loui, S., Mangano, M., Marcelin, A., Margiotta, Martínez-Mora, J. A., A., Meli, T., Montaruli, M., Morganti, L., Moscoso, H., Motz, M., Neff, E., Nezri, D., Palioseliti, Păvălaş, G. E., K., Payet, J., Petrovic, P., Piattelli, V., Popa, T., Pradier, E., Presani, C., Racca, C., Reed, G., Riccobene, C., Richardt, R., Richter, C., Rivière, A., Robert, K., Roensch, A., Rostovtsev, J., Ruiz-Riva, M., Rujoiu, Russo, G. V., Samtleben, D. F. E., A., Sánchez-Losa, P., Sapienza, J., Schmid, J., Schnabel, F., Schöck, Schuller, J. -P., F., Schüssler, T., Seitz, R., Shanidze, F., Simeone, A., Spie, M., Spurio, Steijger, J. J. M., Th., Stolarczyk, M., Taiuti, C., Tamburini, Trovato, A, B., Vallage, C., Vallée, V., Van Elewyck, M., Vecchi, P., Vernin, E., Visser, S., Wagner, G., Wijnker, J., Wilm, E., de Wolf, H., Yepe, D., Zaborov, Zornoza, J. D., J., Zúñiga, Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Aix Marseille Université (AMU), Département d'Electronique, des Détecteurs et d'Informatique (ex SEDI) (DEDI), APC - Astrophysique des Hautes Energies (APC - AHE), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Dipartimento di Astronomia, Universita degli Studi di Bologna, Università di Bologna [Bologna] (UNIBO)-Università di Bologna [Bologna] (UNIBO), PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Université Joseph Fourier - Grenoble 1 (UJF)-Commissariat à l'Énergie Atomique et aux Énergies Alternatives (CEA) - Grenoble-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), ANTARES (IHEF, IoP, FNWI), S. Adrian-Martinez, I. Al Samarai, A. Albert, M. Andre, M. Anghinolfi, G. Anton, S. Anvar, M. Ardid, T. Astraatmadja, J.-J. Aubert, B. Baret, S. Basa, V. Bertin, S. Biagi, C. Bigongiari, C. Bogazzi, M. Bou-Cabo, B. Bouhou, M. C. Bouwhui, J. Brunner, J. Busto, A. Capone, C. Carloganu, J. Carr, S. Cecchini, Z. Charif, Ph. Charvi, T. Chiarusi, M. Circella, R. Coniglione, L. Core, H. Costantini, P. Coyle, A. Creusot, C. Curtil, G. De Boni, M. P. Decowski, I. Dekeyser, A. Deschamp, C. Distefano, C. Donzaud, D. Dornic, Q. Dorosti, D. Drouhin, T. Eberl, U. Emanuele, A. Enzenhoefer, J.-P. Ernenwein, S. Escoffier, K. Fehn, P. Fermani, M. Ferri, S. Ferry, V. Flaminio, F. Folger, U. Fritsch, J.-L. Fuda, S. Galata, P. Gay, K. Geyer, G. Giacomelli, V. Giordano, A. Gleixner, J. P. Gomez-Gonzalez, K. Graf, G. Guillard, G. Hallewell, M. Hamal, H. van Haren, A. J. Heijboer, Y. Hello, J. J. Hernandez-Rey, B. Herold, J. Hoessl, C. C. Hsu, M. de Jong, M. Kadler, O. Kalekin, A. Kappe, U. Katz, O. Kavatsyuk, P. Kooijman, C. Kopper, A. Kouchner, I. Kreykenbohm, V. Kulikovskiy, R. Lahmann, G. Lambard, G. Larosa, D. Lattuada, D. Lefevre, G. Lim, D. Lo Presti, H. Loehner, S. Loucato, F. Loui, S. Mangano, M. Marcelin, A. Margiotta, J. A. Martinez-Mora, A. Meli, T. Montaruli, M. Morganti, L. Moscoso, H. Motz, M. Neff, E. Nezri, D. Palioseliti, G. E. Pavala, K. Payet, J. Petrovic, P. Piattelli, V. Popa, T. Pradier, E. Presani, C. Racca, C. Reed, G. Riccobene, C. Richardt, R. Richter, C. Riviere, A. Robert, K. Roensch, A. Rostovtsev, J. Ruiz-Riva, M. Rujoiu, G. V. Russo, D. F. E. Samtleben, A. Sanchez-Losa, P. Sapienza, J. Schmid, J. Schnabel, F. Schoeck, J.-P. Schuller, F. Schuessler, T. Seitz, R. Shanidze, F. Simeone, A. Spie, M. Spurio, J. J. M. Steijger, Th. Stolarczyk, M. Taiuti, C. Tamburini, A. Trovato, B. Vallage, C. Vallee, V. Van Elewyck, M. Vecchi, P. Vernin, E. Visser, S. Wagner, G. Wijnker, J. Wilm, E. de Wolf, H. Yepe, D. Zaborov, J. D. Zornoza, and J. Zuniga

Subjects
Nuclear and High Energy Physics, Particle physics, [PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE], Physics::Instrumentation and Detectors, Solar neutrino, Astrophysics::High Energy Astrophysical Phenomena, FOS: Physical sciences, ddc:500.2, Neutrino telescope, 01 natural sciences, Partícules (Física nuclear), High Energy Physics - Experiment, Nuclear physics, High Energy Physics - Experiment (hep-ex), Experiment, 0103 physical sciences, Neutrins, High Energy Physics, Neutrinos, 010306 general physics, Neutrino oscillation, Physics, Muon, ANTARES, Física [Àrees temàtiques de la UPC], 010308 nuclear & particles physics, Neutrino oscillations, [SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE], High Energy Physics::Phenomenology, Solar neutrino problem, Neutrino astrophysics, Cosmic neutrino background, Neutrino detector, FISICA APLICADA, Measurements of neutrino speed, Física nuclear, High Energy Physics::Experiment, Neutrino, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
Abstract

The data taken with the ANTARES neutrino telescope from 2007 to 2010, a total live time of 863 days, are used to measure the oscillation parameters of atmospheric neutrinos. Muon tracks are reconstructed with energies as low as 20 GeV. Neutrino oscillations will cause a suppression of vertical upgoing muon neutrinos of such energies crossing the Earth. The parameters determining the oscillation of atmospheric neutrinos are extracted by fitting the event rate as a function of the ratio of the estimated neutrino energy and reconstructed flight path through the Earth. Measurement contours of the oscillation parameters in a two-flavour approximation are derived. Assuming maximal mixing, a mass difference of Delta m(32)(2) = (3.1 +/- 0.9) . 10(-3) eV(2) is obtained, in good agreement with the world average value. (C) 2012 Elsevier B.V. All rights reserved., The authors acknowledge the financial support of the funding agencies: Centre National de la Recherche Scientifique (CNRS), Commissariat a l'energie atomique et aux energies alternatives (CEA), Commission Europeenne (FEDER fund and Marie Curie Program), Region Alsace (contrat CPER), Region Provence-Alpes-Cote d'Azur, Departement du Var and Ville de La Seyne-sur-Mer, France; Bundesministerium fur Bildung und Forschung (BMBF), Germany; Istituto Nazionale di Fisica Nucleare (INFN), Italy; Stichting voor Fundamenteel Onderzoek der Materie (FOM), Nederlandse organisatie voor Wetenschappelijk Onderzoek (NWO), the Netherlands; Council of the President of the Russian Federation for young scientists and leading scientific schools supporting grants, Russia; National Authority for Scientific Research (ANCS-UEFISCDI), Romania; Ministerio de Ciencia e Innovacion (MICINN), Prometeo of Generalitat Valenciana and MultiDark, Spain; Agence de l'Oriental and CNRST, Morocco. We also acknowledge the technical support of Ifremer, AIM and Foselev Marine for the sea operation and the CC-IN2P3 for the computing facilities.

Published
2012

232. Multiscale modeling and parallel computations applied to the simulation of neuronal activity

Author

Bedez, Mathieu, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Université de Haute Alsace - Mulhouse, and Olivier Haeberlé

Subjects
Mathématiques appliquées, Pararéel, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH], Message Passing Interface, CUDA, Bidomaine, Applied mathematics, Bidomain, Finite Differences, MPI, Différences finies, Processeur graphique, Graphics Processing Unit, Neuroscience
Abstract

Computational Neuroscience helped develop mathematical and computational tools for the creation, then simulation models representing the behavior of certain components of our brain at the cellular level. These are helpful in understanding the physical and biochemical interactions between different neurons, instead of a faithful reproduction of various cognitive functions such as in the work on artificial intelligence. The construction of models describing the brain as a whole, using a homogenization microscopic data is newer, because it is necessary to take into account the geometric complexity of the various structures comprising the brain. There is therefore a long process of rebuilding to be done to achieve the simulations. From a mathematical point of view, the various models are described using ordinary differential equations, and partial differential equations. The major problem of these simulations is that the resolution time can become very important when important details on the solutions are required on time scales but also spatial. The purpose of this study is to investigate the various models describing the electrical activity of the brain, using innovative techniques of parallelization of computations, thereby saving time while obtaining highly accurate results. Four major themes will address this issue: description of the models, explaining parallelization tools, applications on both macroscopic models.; Les neurosciences computationnelles ont permis de développer des outils mathématiques et informatiques permettant la création, puis la simulation de modèles représentant le comportement de certaines composantes de notre cerveau à l’échelle cellulaire. Ces derniers sont utiles dans la compréhension des interactions physiques et biochimiques entre les différents neurones, au lieu d’une reproduction fidèle des différentes fonctions cognitives comme dans les travaux sur l’intelligence artificielle. La construction de modèles décrivant le cerveau dans sa globalité, en utilisant une homogénéisation des données microscopiques est plus récent, car il faut prendre en compte la complexité géométrique des différentes structures constituant le cerveau. Il y a donc un long travail de reconstitution à effectuer pour parvenir à des simulations. D’un point de vue mathématique, les différents modèles sont décrits à l’aide de systèmes d’équations différentielles ordinaires, et d’équations aux dérivées partielles. Le problème majeur de ces simulations vient du fait que le temps de résolution peut devenir très important, lorsque des précisions importantes sur les solutions sont requises sur les échelles temporelles mais également spatiales. L’objet de cette étude est d’étudier les différents modèles décrivant l’activité électrique du cerveau, en utilisant des techniques innovantes de parallélisation des calculs, permettant ainsi de gagner du temps, tout en obtenant des résultats très précis. Quatre axes majeurs permettront de répondre à cette problématique : description des modèles, explication des outils de parallélisation, applications sur deux modèles macroscopiques.

Published
2015

233. Search for muon-neutrino emission from GeV and TeV gamma-ray flaring blazars using five years of data of the ANTARES telescope

Author

Bertin, V., Biagi, S., Bogazzi, C., Bormuth, R., Bou-Cabo, M., Bouwhuis, M. C., Bruijn, R., Brunner, J., Busto, J., Capone, A., Caramete, L., Carr, J., Chiarusi, T., Circella, M., Coniglione, R., Costantini, H., Coyle, P., Creusot, A., Dekeyser, I., Deschamps, A., De Bonis, G., Distefano, C., Donzaud, C., Dornic, D., Drouhin, D., Dumas, A., Eberl, T., Elsaesser, D., Enzenhoefer, A., Fehn, K., Felis, I., Fermani, P., Folger, F., Fusco, L. A., Galata, S., Gay, P., Geisselsoeder, S., Geyer, K., Giordano, V., Gleixner, A., Gracia-Ruiz, R., Graf, K., Haren, H., Heijboer, A. J., Hello, Y., Hernandez-Rey, J. J., Herrero, A., Hoessl, J., Hofestaedt, J., Hugon, C., James, C. W., Jong, M., Kadler, M., Kalekin, O., Katz, U., Kiessling, D., Kooijman, P., Kouchner, A., Kreykenbohm, I., Kulikovskiy, V., Lahmann, R., Lambard, G., Lattuada, D., Lefèvre, Dominique, Leonora, E., Loucatos, S., Mangano, S., Marcelin, M., Margiotta, A., Martinez-Mora, J. A., Martini, S., Mathieu, A., Michael, T., Migliozzi, P., Moussa, A., Mueller, C., Neff, M., Nezri, E., Pavalas, G. E., Pellegrino, C., Perrina, C., Piattelli, P., Popa, V., Pradier, T., Racca, C., Riccobene, G., Richter, R., Roensch, K., Rostovtsev, A., Saldana, M., Samtleben, D. F. E., Sanguineti, M., Sapienza, P., Schmid, J., Schnabel, J., Schulte, S., Schuessler, F., Seitz, T., Sieger, C., Spurio, M., Steijger, J. J. M., Stolarczyk, Th., Sanchez-Losa, A., Taiuti, M., TAMBURINI, Christian, Trovato, A., Tselengidou, M., Toennis, C., Turpin, D., Vallage, B., Vallée, Corentin, Van Elewyck, V., Visser, E., Vivolo, D., Wagner, S., Wilms, J., Zornoza, J. D., Zúñiga, J., Collaboration, ANTARES, Adrián-Martínez, S., Albert, A., André, M., Anton, G., Ardid, M., Aubert, J. J., Baret, B., Barrios-Marti, J., Basa, S., Centre de Physique des Particules de Marseille (CPPM), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Aix Marseille Université (AMU), Enrico Fermi - Dipartimento di Fisica, University of Pisa - Università di Pisa, Universitat Politecnica de Valencia (UPV), Department of Physics [Roma La Sapienza], Università degli Studi di Roma 'La Sapienza' [Rome], AstroParticule et Cosmologie (APC (UMR_7164)), Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Domaines Océaniques (LDO), Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Observatoire des Sciences de l'Univers-Institut d'écologie et environnement-Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud - Paris 11 (UP11), Groupe de Recherche en Physique des Hautes Energies (GRPHE), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut Universitaire de Technologie de Colmar, Laboratoire de Physique Corpusculaire - Clermont-Ferrand (LPC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut für Theoretische Physik und Astrophysik [Wurzburg], Julius-Maximilians-Universität Würzburg [Wurtzbourg, Allemagne] (JMU), Géoazur (GEOAZUR 7329), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA), Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Centre d'Etudes Nucléaires de Bordeaux Gradignan (CENBG), Université Sciences et Technologies - Bordeaux 1-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Erlangen Centre for Astroparticle Physics (ECAP), Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), National Institute for Subatomic Physics Nikhef [Amsterdam] (NIKHEF), Faculteit Betawetenschappen, Universiteit Utrecht, Universiteit van Amsterdam (UvA), Institut méditerranéen d'océanologie (MIO), Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN)-Aix Marseille Université (AMU)-Institut de Recherche pour le Développement (IRD), Département de Physique des Particules (ex SPP) (DPP), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire d'Astrophysique de Marseille (LAM), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Centre National d'Études Spatiales [Toulouse] (CNES), LTI, ENSA de Tanger, Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Elettra Light source (ELETTRA), Sincrotrone Trieste S.C.p.A., Instituto de Fisica Corpuscular (IFIC), Consejo Superior de Investigaciones Científicas [Spain] (CSIC)-Universitat de València (UV), Institut d’Investigació per a la Gestió Integrada de Zones Costaneres (IGIC), Universitat Politècnica de València (UPV), Laboratory of Applied Bioacoustics (LAB-UPC), Universidad Polytecnica de Cataluña (UPC), KM3NeT (IHEF, IoP, FNWI), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Université de Strasbourg (UNISTRA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Antares, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Université Côte d'Azur (UCA), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar, Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Adrian-Martinez, S., Albert, A., Andre, M., Anton, G., Ardid, M., Aubert, J. -J., Baret, B., Barrios-Marti, J., Basa, S., Bertin, V., Biagi, S., Bogazzi, C., Bormuth, R., Bou-Cabo, M., Bouwhuis, M. C., Bruijn, R., Brunner, J., Busto, J., Capone, A., Caramete, L., Carr, J., Chiarusi, T., Circella, M., Coniglione, R., Costantini, H., Coyle, P., Creusot, A., Dekeyser, I., Deschamps, A., De Bonis, G., Distefano, C., Donzaud, C., Dornic, D., Drouhin, D., Dumas, A., Eberl, T., Elsasser, D., Enzenhofer, A., Fehn, K., Felis, I., Fermani, P., Folger, F., Fusco, L. A., Galata, S., Gay, P., Geisselsoder, S., Geyer, K., Giordano, V., Gleixner, A., Gracia-Ruiz, R., Graf, K., Van Haren, H., Heijboer, A. J., Hello, Y., Hernandez-Rey, J. J., Herrero, A., Hossl, J., Hofestadt, J., Hugon, C., James, C. W., De Jong, M., Kadler, M., Kalekin, O., Katz, U., Kiessling, D., Kooijman, P., Kouchner, A., Kreykenbohm, I., Kulikovskiy, V., Lahmann, R., Lambard, G., Lattuada, D., Lefevre, D., Leonora, E., Loucatos, S., Mangano, S., Marcelin, M., Margiotta, A., Martinez-Mora, J. A., Martini, S., Mathieu, A., Michael, T., Migliozzi, P., Moussa, A., Mueller, C., Neff, M., Nezri, E., Pevelas, G. E., Pellegrino, C., Perrina, C., Piattelli, P., Popa, V., Pradier, T., Racca, C., Riccobene, G., Richter, R., Roensch, K., Rostovtsev, A., Saldana, M., Samtleben, D. F. E., Sanguineti, M., Sapienza, P., Schmid, J., Schnabel, J., Schulte, S., Schussler, F., Seitz, T., Sieger, C., Spurio, M., Steijger, J. J. M., Stolarczyk, Th., Sanchez-Losa, A., Taiuti, M., Tamburini, C., Trovato, A., Tselengidou, M., Tonnis, C., Turpin, D., Vallage, B., Vallee, C., Van Elewyck, V., Visser, E., Vivolo, D., Wagner, S., Wilms, J., Zornoza, J. D., Zuniga, J., Adrián-Martínez, S., André, M., Aubert, J.-J., Barrios-Martí, J., Bouwhuis, M.C., Elsässer, D., Enzenhöfer, A., Fusco, L.A., Galatà, S., Geißelsöder, S., Heijboer, A.J., Hernández-Rey, J.J., Hößl, J., Hofestädt, J., James, C.W., Kießling, D., Lefèvre, D., Martínez-Mora, J.A., Pəvəlaş, G.E., Saldaña, M., Samtleben, D.F.E., Schüssler, F., Steijger, J.J.M., Sánchez-Losa, A., Tönnis, C., Vallée, C., Zornoza, J.D., Zúñiga, J., Centre National de la Recherche Scientifique (CNRS)-Institut d'écologie et environnement-Observatoire des Sciences de l'Univers-Université de Brest (UBO)-Institut national des sciences de l'Univers (INSU - CNRS), Adrian-Martinez, S, Albert, A, Andre, M, Anton, G, Ardid, M, Aubert, Jj, Baret, B, Barrios-Marti, J, Basa, S, Bertin, V, Biagi, S, Bogazzi, C, Bormuth, R, Bou-Cabo, M, Bouwhuis, Mc, Bruijn, R, Brunner, J, Busto, J, Capone, A, Caramete, L, Carr, J, Chiarusi, T, Circella, M, Coniglione, R, Costantini, H, Coyle, P, Creusot, A, Dekeyser, I, Deschamps, A, De Bonis, G, Distefano, C, Donzaud, C, Dornic, D, Drouhin, D, Dumas, A, Eberl, T, Elsasser, D, Enzenhofer, A, Fehn, K, Felis, I, Fermani, P, Folger, F, Fusco, La, Galata, S, Gay, P, Geisselsoder, S, Geyer, K, Giordano, V, Gleixner, A, Gracia-Ruiz, R, Graf, K, van Haren, H, Heijboer, Aj, Hello, Y, Hernandez-Rey, Jj, Herrero, A, Hossl, J, Hofestadt, J, Hugon, C, James, Cw, de Jong, M, Kadler, M, Kalekin, O, Katz, U, Kiessling, D, Kooijman, P, Kouchner, A, Kreykenbohm, I, Kulikovskiy, V, Lahmann, R, Lambard, G, Lattuada, D, Lefevre, D, Leonora, E, Loucatos, S, Mangano, S, Marcelin, M, Margiotta, A, Martinez-Mora, Ja, Martini, S, Mathieu, A, Michael, T, Migliozzi, P, Moussa, A, Mueller, C, Neff, M, Nezri, E, Pavalas, Ge, Pellegrino, C, Perrina, C, Piattelli, P, Popa, V, Pradier, T, Racca, C, Riccobene, G, Richter, R, Roensch, K, Rostovtsev, A, Saldana, M, Samtleben, Dfe, Sanguineti, M, Sapienza, P, Schmid, J, Schnabel, J, Schulte, S, Schuessler, F, Seitz, T, Sieger, C, Spurio, M, Steijger, Jjm, Stolarczyk, T, Sanchez-Losa, A, Taiuti, M, Tamburini, C, Trovato, A, Tselengidou, M, Tonnis, C, Turpin, D, Vallage, B, Vallee, C, Van Elewyck, V, Visser, E, Vivolo, D, Wagner, S, Wilms, J, Zornoza, Jd, and Zuniga, J

Subjects
neutrino astronomy, X-ray binaries, Astrophysics::High Energy Astrophysical Phenomena, Time series analysis, FOS: Physical sciences, Cosmic ray, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Fermi detected blazars, 7. Clean energy, law.invention, Telescope, Icecube, law, Connection, Muon neutrino, Variability, Blazar, Cherenkov radiation, Physics, High Energy Astrophysical Phenomena (astro-ph.HE), Active galactic nuclei, [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph], [SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE], Gamma ray, Astrophysics::Instrumentation and Methods for Astrophysics, Astronomy and Astrophysics, Neutrino astronomy, FISICA APLICADA, X-ray binarie, large area telescope, Neutrino, MATEMATICA APLICADA, Astrophysics - High Energy Astrophysical Phenomena, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Model, Fermi Gamma-ray Space Telescope
Abstract

The ANTARES telescope is well-suited for detecting astrophysical transient neutrino sources as it can observe a full hemisphere of the sky at all times with a high duty cycle. The background due to atmospheric particles can be drastically reduced, and the point-source sensitivity improved, by selecting a narrow time window around possible neutrino production periods. Blazars, being radio-loud active galactic nuclei with their jets pointing almost directly towards the observer, are particularly attractive potential neutrino point sources, since they are among the most likely sources of the very high-energy cosmic rays. Neutrinos and gamma rays may be produced in hadronic interactions with the surrounding medium. Moreover, blazars generally show high time variability in their light curves at different wavelengths and on various time scales. This paper presents a time-dependent analysis applied to a selection of flaring gamma-ray blazars observed by the FERMI/LAT experiment and by TeV Cherenkov telescopes using five years of ANTARES data taken from 2008 to 2012. The results are compatible with fluctuations of the background. Upper limits on the neutrino fluence have been produced and compared to the measured gamma-ray spectral energy distribution., Comment: 27 pages, 16 figures

Published
2015

234. Energy evaluation of AID protocol in Mobile Ad Hoc Networks

Author

Mohamed Bakhouya, Pascal Lorenz, Jaafar Gaber, Université Internationale de Rabat (UIR), Université de Technologie de Belfort-Montbeliard (UTBM), Modélisation, Intelligence, Processus et Système (MIPS), and Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse

Subjects
Vehicular ad hoc network, Computer Networks and Communications, business.industry, Computer science, 020206 networking & telecommunications, 02 engineering and technology, Mobile ad hoc network, Energy consumption, Broadcasting, MANETS: Mobile Ad Hoc Networks, AID algorithm, Telecommunications network, Computer Science Applications, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Energy efficiency, Optimized Link State Routing Protocol, Broadcasting protocols, Hardware and Architecture, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, business, Broadcast radiation, Dissemination, Computer network, Efficient energy use
Abstract

Mobile Ad Hoc Networks (MANETs) are communication networks formed on the fly by radio-equipped mobile nodes without relying on any fixed infrastructure. Flooding is the simplest technique for information dissemination in ad hoc based networks, in which nodes disseminate a received message to all their neighbors. This algorithm leads to the broadcast storm problem that severely affects the energy consumption due to redundant submissions. To regulate redundant submissions, which can cause more collisions and requires more energy, recently there have been developed numerous broadcasting techniques. These techniques have been mainly proposed to solve the storm problem by preventing certain nodes from rebroadcasting received messages and/or by differentiating the timing of rebroadcasts. In this paper, we have evaluated and compared an adaptive information dissemination (AID) algorithm with other MANETs broadcasting protocols with respect to the energy efficiency. In AID, each node can dynamically adjust the values of its local parameters using information from neighboring nodes without requiring any additional effort, such as distance measurements or exact location-determination of nodes. Simulation results are reported and show that adaptive broadcasting schemes are most efficient with respect to save broadcast, energy consumption, and reachability. We have classified and surveyed most broadcasting algorithms for MANETs.We have evaluated AID with respect to the energy efficiency.We have compared AID algorithm to other MANETs algorithms.AID provides a near-optimal solution in terms of SRB, energy consumption, and reachability.

Published
2015

235. ANIMATED-TEM: a toolbox for electron microscope automation based on image analysis

Author

Jean-Philippe Urban, Hervé-William Rémigy, Jean-Luc Buessler, Gilles Hermann, Nicolas Coudray, Daniel Caujolle-Bert, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, C-CINA - M.E. Mueller Institute for Structural Biology, University of Basel (Unibas), FEI Electron Optics, and BV, Eindhoven

Subjects
Microscope, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Target selection, Transmission electron microscope, law.invention, Software, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, law, Computer vision, business.industry, Fully automated electron microscope, Grid, Automation, Toolbox, Computer Science Applications, Hardware and Architecture, Automated image acquisition, Pattern recognition (psychology), Computer Vision and Pattern Recognition, Artificial intelligence, Specimen characterization, Electron microscope, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Microscope image processing
Abstract

International audience; To automate electron microscopy tasks, the main challenge is to integrate image interpretation. This article presents a first achievement in the domain of electron microscopy. ANalysis of IMages for Automatic Targeting and Extraction of Data in Transmission Electron Microscopy (ANIMATED-TEM) is a software toolbox composed of a set of image analysis algorithms and an examination scenario. Combined with microscope software, it runs all the microscope tasks and manages the exploration strategy of the carbon-coated grids on which the sample of interest (viruses, proteins, bi-dimensional crystal of membrane proteins, etc.) has been deposited. ANIMATED-TEM realizes the automatic examination of biological samples, working at several magnifications without human intervention. Online image analysis of micrographs is an essential part both to extract characteristic data and to manage automation, as interesting regions need to be identified to trigger new acquisitions at higher magnifications. This toolbox has been developed to perform high-throughput screening of 2D-crystallization experiments. It is operational on amicroscope equipped with an automatic grid loading system, allowing the continuous and automatic analysis of up to 96 samples. Intensive testing over a period of several months confirms that ANIMATEDTEM achieves full automation with an efficient target selection and in a suitable computational time.

Published
2011

236. Autoadaptive Algorithm for the Stacking-Level Estimation of Membranes in TEM Images

Author

Jean-Philippe Urban, Gilles Hermann, Nicolas Coudray, Argyro Karathanou, Jean-Luc Buessler, Modélisation, Intelligence, Processus et Système (MIPS), and Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse

Subjects
Article Subject, Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Stacking, Image (mathematics), Gray level, ComputingMethodologies_PATTERNRECOGNITION, Membrane, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Signal Processing, Computer vision, Noise (video), Artificial intelligence, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Algorithm
Abstract

International audience; This paper introduces an original algorithm for the labeling of the regions of a partitioned image according to the stacking level of membranes in transmission electron microscopy (TEM) images. Image analysis of membrane protein TEM images represents a particular challenging task because of the important noise and heterogeneity present in these images. The proposed algorithm adapts automatically to fluctuations and gray level ranges characterizing each membrane stacking level. Some information about the organization of the objects in the images is introduced as prior knowledge. Three types of qualitative and quantitative experiments have been specifically devised and implemented to assess the algorithm.

Published
2011

237. An adaptive approach for information dissemination in Vehicular Ad hoc Networks

Author

Jaafar Gaber, Mohamed Bakhouya, Pascal Lorenz, Laboratoire Systèmes et Transports (SET), Université de Technologie de Belfort-Montbeliard (UTBM)-Institut de Recherche sur les Transports, l'Energie et la Société - IRTES, Modélisation, Intelligence, Processus et Système (MIPS), and Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse

Subjects
Computer Networks and Communications, business.industry, Computer science, Wireless ad hoc network, Information dissemination, Distributed computing, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Simulations and performance evaluation, Information Dissemination, 020206 networking & telecommunications, 02 engineering and technology, MANETs/VANETs, broadcasting protocols, Broadcasting, Network topology, Computer Science Applications, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Hardware and Architecture, Reachability, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Network performance, business, Computer network
Abstract

International audience; Vehicular Ad hoc Networks (VANETs) appeared as a subclass of MANETs for inter-vehicle communication. However, VANETs have a relatively more dynamic nature as compared to MANETs concerning the network topology. The design and implementation of an efficient and scalable algorithm for information dissemination in VANETs constitutes a major issue that should be tackled. Indeed, in this dynamic environment, an increasing number of redundant broadcast messages will increase resource utilization, which would indirectly affect the network performance. In the past few years, several statistical-based broadcasting schemes, such as counter-based protocol, for information dissemination have been proposed in the context of MANETs. These schemes are based on various threshold parameters to help nodes to decide whether to rebroadcast or discard received messages. However, in dynamic networks, such as in VANETs, it is difficult even impossible to determine a priori these threshold values. Dynamically changing these values, to minimize the number of redundantly received messages while maintaining good latency and reachability, is a complex issue in the absence of centralized controllers or constant threshold parameters. This paper presents a decentralized and adaptive approach for information dissemination (AID) in VANETs. Simulations are conducted and results are presented to show that adaptive approaches have a better performance over statistical-based approaches.

Published
2011
Full Text
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238. Measurement and identification of dynamic properties of flexible polyurethane foam

Author

Lanzhu Zhang, Raphaël Dupuis, School of Mechanical and Power Engineering, University of Science and Technology, Shanghai, Modélisation, Intelligence, Processus et Système (MIPS), and Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse

Subjects
Rigid block, Materials science, business.industry, Mechanical Engineering, System identification, nonlinearity, Aerospace Engineering, Structural engineering, [SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph], Impulse (physics), Fixture, Foam, Viscoelasticity, Condensed Matter::Soft Condensed Matter, Nonlinear system, chemistry.chemical_compound, chemistry, Mechanics of Materials, Automotive Engineering, General Materials Science, Shaker, business, viscoelasticity, system identification, Polyurethane
Abstract

International audience; Experimental techniques and identification of dynamic properties of flexible polyurethane foam used in automotive seats are described here. In the experimental fixture a rigid block is mounted on a 3 inch cube of foam material, which serves as the only flexible component. The dynamic system is modeled as a single degree-of -freedom system. The experimental fixture is excited by a small impulse at the top of the block and by a shaker on the basement. For the first situation the foam is simplified as a linear viscoelastic material. By exciting with the shaker the nonlinear and viscoelastic properties of foam materials are considered. For these two different cases not only the model response and the impact of model parameters are analyzed but also the corresponding system parameters are identified during the experimental data.

Published
2010

239. Performance of the front-end electronics of the ANTARES neutrino telescope

Author

E. Delagnes, Francisco Camarena, R. Ostasch, C. Carloganu, D. Lo Presti, M. Ardid, Annarita Margiotta, Y. Hello, Antoine Kouchner, F. Lucarelli, J. J. Aubert, Vincent Bertin, F. Fehr, J. Poinsignon, G.V. Russo, Oleg Kalekin, Nasser Kalantar-Nayestanaki, G. Vannoni, M. Circella, M. Morganti, E. Castorina, J.-P. Ernenwein, Gisela Anton, T. Legou, C. Picq, E. Falchini, Dominique Lefèvre, C. Richardt, E. A. De Wolf, D. Dornic, J. Fopma, J. Petrovic, Juanan Aguilar, G. Wijnker, U. Emanuele, G. Giacomelli, C. Naumann, M. Rujoiu, Stephanie Escoffier, M.C. Bouwhuis, W. Kretschmer, Giorgio Riccobene, Paolo Piattelli, F. Rethore, G. Halladjian, Ciro Bigongiari, H. Lafoux, U. F. Katz, D. Palioselitis, Doriane Drouhin, J.D. Zornoza, Jürgen Brunner, A. Le Van Suu, K. Fratini, V. Van Elewyck, Thierry Pradier, H. Loehner, Teresa Montaruli, J. P. Schuller, C. Hoffmann, G. Guillard, Ch Olivetto, Holger Motz, G. E. Pavala, S. Mangano, H. Costantini, C. M. Reed, Manuel Bou-Cabo, Francesco Simeone, M. Neff, F. M. Schoeck, M. de Jong, R. Auer, A. Capone, J. Hoessl, Anne Deschamps, Alain Mazure, P. Payre, B. Baret, S. Basa, Alexander Kappes, S. Biagi, Manuela Vecchi, G. Carminati, H. Yepes, S. Loucatos, H. Le Provost, L. Tasca, V. Flaminio, [No Value] Charvis, Patrick Lamare, A. C.S. Assis Jesus, G. Lim, P. Vernin, Tri L. Astraatmadja, Th. Stolarczyk, J-P Pineau, J.A. Martínez-Mora, Th. Chaleil, N. Cottini, U. Fritsch, P.M. Kooijman, Guillaume Lambard, M. Marcelin, Robert Lahmann, S. Anvar, V. Popa, H. van Haren, E. Presani, B. Herold, C. Curtil, N. Chon Sen, F. Feinstein, A. Brown, Tommaso Chiarusi, I. Dekeyser, C. Kopper, A. Radu, Jos Steijger, G. De Bonis, Giuseppina Larosa, D. Zaborov, Christian Tamburini, J.-L. Fuda, J. Zúñiga, Gregory David Hallewell, C. Donzaud, J. P. Gómez-González, D. Lachartre, Vincenzo Cavasinni, C. Distefano, E. Monmarthe, L. Caponetto, Kay Graf, B. Vallage, Arnauld Albert, M. Anghinolfi, J. Busto, Piera Sapienza, M. Bazzotti, Thomas Eberl, L. Moscoso, G. Lelaizant, F. Salesa, S. Cecchini, J. Carr, F. Druillole, N. de Botton, H. Laschinsky, Simona Toscano, C. Racca, N. Picot-Clemente, Rezo Shanidze, P. Coyle, Maurizio Spurio, A.J. Heijboer, Juan José Hernández-Rey, I. Al Samarai, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Groupe de Recherche en Physique des Hautes Energies (GRPHE), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar, Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Département de Physique des Particules (ex SPP) (DPhP), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Centre d'océanologie de Marseille (COM), Université de la Méditerranée - Aix-Marseille 2-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Géoazur (GEOAZUR 6526), Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Corpusculaire - Clermont-Ferrand (LPC), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), APC - Astrophysique des Hautes Energies (APC - AHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), ANTARES, Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Aix Marseille Université (AMU), Institut Universitaire de Technologie de Colmar-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7), Département de Physique des Particules (ex SPP) (DPP), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de la Méditerranée - Aix-Marseille 2, Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Centre National d'Études Spatiales [Toulouse] (CNES), PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Dipartimento di Astronomia, Universita degli Studi di Bologna, Università di Bologna [Bologna] (UNIBO)-Università di Bologna [Bologna] (UNIBO), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut Universitaire de Technologie de Colmar, Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Dipartimento di Astronomia, Universita degli Studi di Bologna, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO)-Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), ANTARES (IHEF, IoP, FNWI), KVI - Center for Advanced Radiation Technology, J.A. Aguilar, A. Albert, G. Anton, S. Anvar, M. Ardid, A.C. Assis Jesus, T. Astraatmadja, J.-J. Aubert, R. Auer, B. Baret, S. Basa, M. Bazzotti, V. Bertin, S. Biagi, C. Bigongiari, M. Bou-Cabo, M.C. Bouwhuis, A.M. Brown, J. Brunner, J. Busto, F. Camarena, A. Capone, G. Carminati, J. Carr, D. Castel, E. Castorina, V. Cavasinni, S. Cecchini, Ph. Charvis, T. Chiarusi, M. Circella, R. Coniglione, H. Costantini, N. Cottini, P. Coyle, C. Curtil, G. De Boni, M.P. Decowski, I. Dekeyser, A. Deschamps, C. Distefano, C. Donzaud, D. Dornic, D. Drouhin, T. Eberl, U. Emanuele, J.-P. Ernenwein, S. Escoffier, F. Fehr, V. Flaminio, K. Fratini, U. Fritsch, J.-L. Fuda, G. Giacomelli, J.P. Gómez-González, K. Graf, G. Guillard, G. Halladjian, G. Hallewell, H. van Haren, A.J. Heijboer, Y. Hello, J.J. Hernández-Rey, J. Hößl, M. de Jong, N. Kalantar-Nayestanaki a, O. Kalekin, A. Kappes, U. Katz, P. Kooijman, C. Kopper, A. Kouchner, W. Kretschmer, R. Lahmann, P. Lamare, G. Lambard, G. Larosa, H. Laschinsky, D. Lefèvre, G. Lelaizant, G. Lim, D. Lo Presti a, H. Loehner a, S. Loucatos, F. Lucarelli, K. Lyons, S. Mangano, M. Marcelin, A. Margiotta, J.A. Martinez-Mora, G. Maurin, A. Mazure, M. Melissas, T. Montaruli, M. Morganti, L. Moscoso, H. Motz, C. Naumann, M. Neff, R. Ostasch, D. Palioselitis, G.E. Pa˘va˘las, P. Payre, J. Petrovic, P. Piattelli, N. Picot-Clemente, C. Picq, R. Pillet, V. Popa, T. Pradier, E. Presani, C. Racca, A. Radu, C. Reed, C. Richardt, M. Rujoiu a, G.V. Russo, F. Salesa, P. Sapienza, F. Schöck, J.-P. Schuller, R. Shanidze, F. Simeone, M. Spurio, J.J.M. Steijger, Th. Stolarczyk, M. Taiuti, C. Tamburini, L. Tasca, S. Toscano, B. Vallage, V. Van Elewyck, M. Vecchi, P. Vernin, G. Wijnker, E. de Wolf, H. Yepes, D. Zaborov a, J.D. Zornoza, and J. Zúñiga

Subjects
Nuclear and High Energy Physics, Photomultiplier, [PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM], Physics::Instrumentation and Detectors, Optical link, Digital data, FOS: Physical sciences, Analog-to-digital converter, Neutrino telescope, 01 natural sciences, Multiplexing, law.invention, Phototube, Application-specific integrated circuit, Photomultiplier tube, law, ASICs, 0103 physical sciences, 14. Life underwater, 010306 general physics, Instrumentation and Methods for Astrophysics (astro-ph.IM), Instrumentation, Physics, 010308 nuclear & particles physics, business.industry, ASIC, Astrophysics::Instrumentation and Methods for Astrophysics, Electrical engineering, CIRCUIT, Front-end electronics, Chip, [SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM], Física nuclear, UNDERWATER DETECTOR, asic, front-end electronics, neutrino telescope, photomultiplier tube, Astrophysics - Instrumentation and Methods for Astrophysics, business, SYSTEM
Abstract

ANTARES is a high-energy neutrino telescope installed in the Mediterranean Sea at a depth of 2475 m. It consists of a three-dimensional array of optical modules, each containing a large photomultiplier tube. A total of 2700 front-end ASICs named Analogue Ring Samplers (ARS) process the phototube signals, measure their arrival time, amplitude and shape as well as perform monitoring and calibration tasks. The ARS chip processes the analogue signals from the optical modules and converts information into digital data. All the information is transmitted to shore through further multiplexing electronics and an optical link. This paper describes the performance of the ARS chip; results from the functionality and characterization tests in the laboratory are summarized and the long-term performance in the apparatus is illustrated., Comment: 20 pages, 22 figures, published in Nuclear Instruments and Methods A

Published
2010

240. Network Life Time maximization of the AOMDV Protocol Using Nodes Energy Variation

Author

Marc Gilg, Sofiane Boukli Hacene, Amir Abdelkader Aouiz, Pascal Lorenz, Modélisation, Intelligence, Processus et Système (MIPS), and Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse

Subjects
[SPI.OTHER]Engineering Sciences [physics]/Other, Network packet, Computer science, business.industry, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 020208 electrical & electronic engineering, Quality of Service, 020206 networking & telecommunications, Throughput, 02 engineering and technology, Mobile ad hoc network, AOMDV Routing Protocol, Alternate Paths, Network Traffic History, Distance-vector routing protocol, Packet loss, Multipath routing, MENET, Computer Science::Networking and Internet Architecture, 0202 electrical engineering, electronic engineering, information engineering, Overhead (computing), Energy Variation Rate, business, Multipath propagation, Computer network
Abstract

International audience; Mobile ad hoc network presents generally several challenges such as high dynamic topology, packet loss and frequent routes discovering that result in low throughput and reduced packet delivery ratio. To reduce the number of route discovering process, multipath routing protocols makes use of alternate paths to continue packets transmission. Ad Hoc On-demand, multipath distance vector routing protocol or AOMDV, is one of the well-known multipath protocols that relays on the hop count metric to route packets. However maintaining disjoint active routes can reduce nodes life time and lead to more control messages like error and discovering packets. In this paper, a pre-emptive approach is proposed based on the historical values of nodes energy. Nodes that excessively consume energy in time are considered overloaded and are excluded from route discovering, hence nodes with reduced energy variation are selected to route packets. Simulation results show reduced number of dead nodes by 30 %, overhead by 16%.

Published
2018

241. A vision-based approach to wheel camber angle and tyre loaded radius measurement

Author

Christophe Lamy, Michel Basset, Modélisation, Intelligence, Processus et Système (MIPS), and Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse

Subjects
Camber angle, Engineering, Observational error, Vision based, business.industry, Metals and Alloys, Model parameters, Condensed Matter Physics, Automotive engineering, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Surfaces, Coatings and Films, Electronic, Optical and Magnetic Materials, Vehicle dynamics, Road surface, Camber (ship), Vehicle safety, Electrical and Electronic Engineering, business, Instrumentation
Abstract

International audience; The accurate determination of a vehicle's lateral behaviour is necessary in the domain of vehicle dynamics to improve vehicle safety. Its interaction with the road surface must be understood thoroughly, which requires the integration of a force model, representing the tyre-ground interface, into the global vehicle model. The validity of such a model directly depends on its nature and more particularly on the accurate determination of its inputs and outputs. This paper focuses on one input: the wheel camber angle. Studies in collaboration with a car maker have shown that a measurement error below 0.1◦ is necessary to identify the tyre model parameters from real data accurately. At the same time, measurement performance must be insensitive to the test conditions, and more particularly to the road surface (tyre-road grip). For these reasons, a novel vision-based method for direct camber determination has been developed and a measurement prototype has been designed. Its vision-based principle is mainly aimed at giving accurate measurement. Its precision is robust to the road's unevenness and the vehicle's velocity; the tyre loaded radius is determined at the same time. The novel method's feasibility and the measurement performance of the designed prototype have been studied from real vehicle-on-track measurements with a test car.

Published
2010

242. Saturated structured confocal microscopy with theoretically unlimited resolution

Author

Bertrand Simon, Olivier Haeberlé, Modélisation, Intelligence, Processus et Système (MIPS), and Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse

Subjects
Diffraction, Point spread function engineering, Materials science, Microscope, 02 engineering and technology, 01 natural sciences, law.invention, 010309 optics, Image formation, 020210 optoelectronics & photonics, Optics, law, Confocal microscopy, 0103 physical sciences, Microscopy, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Physical and Theoretical Chemistry, Image resolution, Fluorescence microscopy, Super-resolution microscopy, business.industry, Resolution (electron density), Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Light sheet fluorescence microscopy, [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic, business
Abstract

International audience; The resolution of fluorescence microscopes is limited by diffraction, which determines the extension of their point spread functions. We propose and study numerically a simple method, based on a combination of subtraction microscopy with regular and annular excitation beams, which permits to double the resolution compared to wide field microscopy. When combined with the fluorescence saturation phenomenon, this approach would be able to deliver a resolution of a few tens of nanometers

Published
2009

243. Density measurement of fine aerosol fractions from wood combustion sources using ELPI distributions and image processing techniques

Author

Alain Dieterlen, Estelle Roth, Nicolas Coudray, Gwenaëlle Trouvé, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Groupe de spectrométrie moléculaire et atmosphérique (GSMA), Université de Reims Champagne-Ardenne (URCA)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Gestion des Risques et Environnement (GRE), and Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))

Subjects
010504 meteorology & atmospheric sciences, Scanning electron microscope, General Chemical Engineering, Analytical chemistry, Density, Energy Engineering and Power Technology, Mineralogy, Image processing, 010501 environmental sciences, Combustion, 01 natural sciences, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Hydraulic diameter, ELPI, Aerosol, 0105 earth and related environmental sciences, Chemistry, Organic Chemistry, Fuel Technology, 13. Climate action, Fly ash, Particle-size distribution, Particle size, Scanning electron microscopy, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; Aerosols from combustion sources are of high concern since they present a risk for health and environment. Particle size distribution of aerosols and in particular number size distribution are easily and quickly obtained using an Electrical Low Pressure Impactor (ELPI). However, this technique is depending of aerosol density; q, which may lead to biased particle size distributions. Aerosol density from combustion sources is usually not well known and depends on several parameters. Aerosol density cannot be measured with usual methods since there is generally not enough matter collected on each stage of the ELPI. Our approach uses electronic microscopy to evaluate q at each impaction stage in order to increase the accuracy of the number size distributions resulting from the ELPI measurements. Particles were collected on glass substrates deposited on each impaction stages. Images were obtained using a scanning electron microscope and image processing tools were applied. This method was first tested with silica particles resulting from a combustion process which have a constant density found to be comprised between 2.2 and 2.4 g cm 3 for stages 2 (57 and 95 nm) and 3 (95 and 158 nm), respectively. Once validated, this method was used to determine the density of wood combustion aerosols. The results match well for fly ashes from wood combustion with densities varying from 1.1 to 3.0 g cm 3 for particles of mean equivalent diameter ranging from 69 to 157 nm, respectively.

Published
2009

244. Multi-Reference Shape Priors for Active Contours

Author

Fabrice Heitz, Alban Foulonneau, Pierre Charbonnier, Centre d'études techniques de l'équipement Est (CETE Est), Avant création Cerema, Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection, UMR 7005 CNRS, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Equipe de Recherche Associée n°27 (ERA 27), Laboratoire Central des Ponts et Chaussées (LCPC), Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection (LSIIT), and Centre National de la Recherche Scientifique (CNRS)

Subjects
IMAGE, SEGMENTATION, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, Geometric shape, Topology, 030218 nuclear medicine & medical imaging, Shape constraint, 03 medical and health sciences, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Artificial Intelligence, Shape derivative, Active shape model, Prior probability, 0202 electrical engineering, electronic engineering, information engineering, Region-based approach, Reference model, ComputingMethodologies_COMPUTERGRAPHICS, Mathematics, Active contour model, Geometric invariance, Active contours, Geometric flow, Image segmentation, Multi-reference model, Legendre moments, Computer Science::Computer Vision and Pattern Recognition, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Algorithm, Software, Shape analysis (digital geometry)
Abstract

International audience; In this paper, we present a new way of constraining the evolution of an active contour with respect to a set of fixed reference shapes. This approach is based on a description of shapes by the Legendre moments computed from their characteristic function. This provides a region-based representation that can handle arbitrary shape topologies. Moreover, exploiting the properties of moments, it is possible to include intrinsic affine invariance in the descriptor, which solves the issue of shape alignment without increasing the number of d.o.f. of the initial problem and allows introducing geometric shape variabilities. Our new shape prior is based on a distance, in terms of descriptors, between the evolving curve and the reference shapes.Minimizing the corresponding shape energy leads to a geometric flow that does not rely on any particular representation of the contour and can be implemented with any contour evolution algorithm. We introduce our prior into a two-class segmentation functional, showing its benefits on segmentation results in presence of severe occlusions and clutter. Examples illustrate the ability of the model to deal with large affine deformation and to take into account a set of reference shapes of different topologies.

Published
2008

245. Model-driven analysis and synthesis of textual concrete syntax

Author

Sébastien Gérard, Franck Fleurey, Rémi Schnekenburger, Pierre-Alain Muller, Jean-Marc Jézéquel, Michel Hassenforder, Frédéric Fondement, Reliable and efficient component based software engineering (TRISKELL), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria), Modélisation, Intelligence, Processus et Système (MIPS), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Stiftelsen for INdustriell og TEknisk Forskning Digital [Trondheim] (SINTEF Digital), Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Inria Rennes – Bretagne Atlantique, Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, and Laboratoire d'Intégration des Systèmes et des Technologies (LIST)

Subjects
MDD, MDE, Computer science, Language engineering, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], 02 engineering and technology, Meta-modeling, computer.software_genre, Field (computer science), Rule-based machine translation, 020204 information systems, Abstract syntax, 0202 electrical engineering, electronic engineering, information engineering, Parsing, business.industry, Programming language, 020207 software engineering, Raising (linguistics), TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES, Concrete syntax, Modeling and Simulation, Artificial intelligence, Compiler, Software_PROGRAMMINGLANGUAGES, business, computer, Software, Natural language processing
Abstract

International audience; Meta-modeling is raising more and more interest in the field of language engineering. While this approach is now well understood for defining abstract syntaxes, formally defining textual concrete syntaxes with meta-models is still a challenge. Textual concrete syntaxes are traditionally expressed with rules, conforming to EBNF-like grammars, which can be processed by compiler compilers to generate parsers. Unfortunately, these generated parsers produce concrete syntax trees, leaving a gap with the abstract syntax defined by meta-models, and further ad-hoc hand-coding is required. In this paper we propose a new kind of specification for concrete syntaxes, which takes advantage of meta-models to generate fully operational tools (such as parsers or text generators). The principle is to map abstract syntaxes to textual concrete syntaxes via bidirectional mapping-models with support for both model-to-text, and text-to-model transformations.

Published
2008

246. Chemical analysis and aqueous solution properties of charged amphiphilic block copolymers PBA-b-PAA synthesized by MADIX®

Author

M. Jacquin, Ruela Talingting-Pabalan, T. Futterer, Hervé Cottet, Olivier Theodoly, Pierre Muller, Jean-François Berret, IFP Energies nouvelles (IFPEN), Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Institut des Biomolécules Max Mousseron [Pôle Chimie Balard] (IBMM), Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Montpellier (UM)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM), Matière et Systèmes Complexes (MSC (UMR_7057)), Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), Adhésion et Inflammation (LAI), Assistance Publique - Hôpitaux de Marseille (APHM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut Charles Sadron (ICS), Université de Strasbourg (UNISTRA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Ecole Nationale Supérieure d'Ingénieur Sud Alsace, Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Université de Strasbourg (UNISTRA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), RHODIA, Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Institut de Chimie du CNRS (INC)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Organisation moléculaire (évolution et matériaux fluores) (OMEMF), Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS), Matière et Systèmes Complexes (MSC), and Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Diblock copolymer, Chemical Phenomena, Polymers, Butyl acrylate, Radical polymerization, Population, FOS: Physical sciences, 02 engineering and technology, Condensed Matter - Soft Condensed Matter, 010402 general chemistry, 01 natural sciences, Micelle, Biomaterials, chemistry.chemical_compound, Colloid and Surface Chemistry, Exchange kinetics, Polymer chemistry, Copolymer, Fractionation, Particle Size, [PHYS.COND]Physics [physics]/Condensed Matter [cond-mat], [PHYS.MECA.BIOM]Physics [physics]/Mechanics [physics]/Biomechanics [physics.med-ph], education, Micelles, education.field_of_study, Aqueous solution, Chemistry, Physical, Water, Self-assembly, Polyelectrolyte, 021001 nanoscience & nanotechnology, 6. Clean water, 0104 chemical sciences, Surfaces, Coatings and Films, Electronic, Optical and Magnetic Materials, Solutions, [CHIM.POLY]Chemical Sciences/Polymers, Acrylates, Polymerization, chemistry, Soft Condensed Matter (cond-mat.soft), 0210 nano-technology, Interfacial tension, [PHYS.COND.CM-SCM]Physics [physics]/Condensed Matter [cond-mat]/Soft Condensed Matter [cond-mat.soft]
Abstract

We have linked the structural and dynamic properties in aqueous solution of amphiphilic charged diblock copolymers poly(butyl acrylate)-b-poly(acrylic acid), PBA-b-PAA, synthesized by controlled radical polymerization, with the physico-chemical characteristics of the samples. Despite product imperfections, the samples self-assemble in melt and aqueous solutions as predicted by monodisperse microphase separation theory. However, the PBA core are abnormally large; the swelling of PBA cores is not due to AA (the Flory parameter chiPBA/PAA, determined at 0.25, means strong segregation), but to h-PBA homopolymers (content determined by Liquid Chromatography at the Point of Exclusion and Adsorption Transition LC-PEAT). Beside the dominant population of micelles detected by scattering experiments, capillary electrophoresis CE analysis permitted detection of two other populations, one of h-PAA, and the other of free PBA-b-PAA chains, that have very short PBA blocks and never self-assemble. Despite the presence of these free unimers, the self-assembly in solution was found out of equilibrium: the aggregation state is history dependant and no unimer exchange between micelles occurs over months (time-evolution SANS). The high PBA/water interfacial tension, measured at 20 mN/m, prohibits unimer exchange between micelles. PBA-b-PAA solution systems are neither at thermal equilibrium nor completely frozen systems: internal fractionation of individual aggregates can occur., Comment: 32 pages, 16 figures and 4 tables submitted to Journal of Interface and Colloidal Science

Published
2007

247. Active vibration control of flexible materials found within printing machines

Author

Philippe Blanc, Daniel Greco, Ivan Vaclavik, Evelyne Aubry, Haute Ecole d'Ingénierie et de Gestion du Canton de Vaud [Yverdon-les-Bains] (HEIG-VD), Modélisation, Intelligence, Processus et Système (MIPS), and Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse

Subjects
Engineering, Acoustics and Ultrasonics, business.industry, Mechanical Engineering, Vibration control, Equations of motion, [SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph], Condensed Matter Physics, Transfer function, Vibration, Nonlinear system, Mechanics of Materials, Control theory, Robustness (computer science), Active vibration control, business
Abstract

International audience; The dynamic characteristics of out-of-plane vibrations of web materials on printing machines are investigated in this study. The solution of the nonlinear equation which describes this motion is computed and compared with the experimental results obtained on a test bed. The proposed controller is based on the travelling wave theory and on the transfer functions identified from the measurement data. Good experimental results are obtained by implementing the controller on a test bed. The measurements of two printing materials under different excitation frequencies show the effectiveness and robustness of the controller cancelling out vibrations.

Published
2007

248. Flexible Wiper System Dynamic Instabilities: Modelling and Experimental Validation

Author

Evelyne Aubry, Patrick Alliot, Louis Jezequel, Thomas Dreher, C. Chevennement-Roux, J. P. Laine, Valeo Wiper System, Ecole Nationale Supérieure d'Ingénieurs Sud Alsace (ENSISA), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Laboratoire de Tribologie et Dynamique des Systèmes (LTDS), École Centrale de Lyon (ECL), and Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Ecole Nationale d'Ingénieurs de Saint Etienne-Centre National de la Recherche Scientifique (CNRS)

Subjects
Test bench, Engineering, Friction, Hopf Bifurcation, Blade (geometry), Computation, Modal analysis, Aerospace Engineering, Mechanical engineering, 02 engineering and technology, Vibration, 01 natural sciences, Modelling, 0203 mechanical engineering, 0103 physical sciences, 010301 acoustics, Simulation, business.industry, Mechanical Engineering, [SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph], Systems modeling, 020303 mechanical engineering & transports, Mechanics of Materials, Instabilities, Solid mechanics, Engineering design process, business, Wiper systems
Abstract

International audience; The optimization of wiper systems under various conditions and the creation of a product which is as robust as possible are the main objectives for an equipment supplier. However, in certain conditions, instabilities can appear and generate wiping defects due to the rubber-glass contact. To improve wiping quality and to reduce the number of test stages for design, this study proposes a wiper system modeling method. The wiper system is represented by a rigid blade holder on which a rubber blade is fitted. This rigid blade system is used on a flat test bench at constant wiping velocity. The model is based on modal synthesis methods and will be validated through comparison with experimental tests under various conditions. The right correlation obtained allows the same modelling method to be applied to the new generation of flexible wiper blades which take account of the degree of freedom of the wiper blade flexions. So, a new computation tool will be developed and validated through experimentation on a specific test bench.

Published
2007

249. Synthesis of mono-and bi-layer zeolite films on macroporous alumina tubular supports : Application to nanofiltration

Author

Said, Ali, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Université de Haute Alsace - Mulhouse, Université Libanaise, and Toufic Jean Daou

Subjects
Traitement de l'eau, Zeolite, Mobile FIve, MFI, Zéolithe, Nanofiltration, Seeding and secondary growth, Ensemencement et croissance secondaire, Water treatment, Membrane tubulaire, Tubular membrane, [CHIM.OTHE]Chemical Sciences/Other, Filtration, Films
Abstract

Zeolites are very well-known materials especially for their controlled porosity, their crystalline structures, but also for the different applications where they can be used (catalysis, air treatment,...) . During the past ten years, a lot of developments have been done on the preparation of zeolite membranes for pervaporation applications. The present work explores new developments in the preparation zeolite membranes dedicated to the filtration of salty water. More particularly, we prepared MFI films on specific macroporous alumina tubular supports used for nanofiltration applications. There are different key steps which influence the formation of the MFI films: the cleaning procedure of the substrats, the hydrothermal synthesis conditions, the use of a secondary growth method for when preparing a bi-layered membrane. A complete characterization of the mono and the bi-layered membranes was carried out using various techniques, such as X-ray diffraction, scanning electron microscopy, X-ray fluorescence, energy dispersive X-ray spectroscopy, mercury porosimetry and nitrogen sorption measurements. Results show that a dense, continuous and highly crystallized thin film of MFI bas been obtained on the u-alumina support after the secondary growth experiment. The weight of zeolite deposited on the support was also estimated by nitrogen sorption measurement using the method of mass assessment. The MFI membrane was stabilized by pure water filtration tests until the hydraulic permeability reached a plateau. This conditioning step was necessary to reach an equilibrium state of the hydraulic membrane performances. Particularly, hydration of the MFI layer was a crucial step of the conditioning process, which leads to the modification of the MFI surface properties. The hydraulic permeability of the mono and bi-layer MFI membrane decreased rapidly at the beginning of the conditioning process, and stabilized alter 15 hours to reach 1.08 x 10.141113.m.2 and 1.02 x 10-15 m3.m-2 respectively. Filtration tests were then carried out with a neutral molecule (VB 12) in order to evaluate the mean pore radius of the mono and the bi-layered membranes. A rejection rate of 5% was obtained with the monolayer MFI membrane, while it reaches a value of 50% with the bi-layered one. These results lead to mean pore radius corresponding to 6.4 and 1.7 mn respectively. It menus that even alter the synthesis of the second MFI layer, the membrane porosity remains higher than the porous diameter of the zeolite. Filtration may occur at the interface of the MFI crystals.; Un des enjeux majeurs des procédés membranaires concerne le développement de nouveaux matériaux de filtration stables dont les propriétés texturales et structurales permettent d'orienter la sélectivité des membranes de nanofiltration. En particulier, l'utilisation de matériaux zéoliihiques comme couche filtrante a montré qu'après un traitement chimique adéquat, ces matériaux pouvaient acquérir des propriétés de sélectivité très particulières. Ce travail de thèse propose la synthèse, la caractérisation et l'optimisation de membranes de nanofiltration tubulaires en utilisant une zéolithe de type MFI. Plus particulièrement, des films mono et bicouches de zéolithes de type MFI ont été préparés sur un support tubulaire macroporeux asymétrique en alumine. La diffraction de rayons X et la microscopie électronique à balayage ont permis de déterminer la cristallinité, l'homogénéité et l'épaisseur des filins déposés (7 à 15 i_trn). La manométrie d'adsorption d'azote a été utilisée pour vérifier si la porosité après mise en forme restait accessible, ainsi qu'à déterminer la niasse de zéolithe déposée sur le support tubulaire en alumine. La perméabilité hydraulique, qui caractérise l'hydrodynamique d'une membrane, a été déterminée par filtration d'eau déminéralisée. Cette étape dite « de conditionnement » est nécessaire pour parvenir à un état de performance stable de la membrane (état d'équilibre), La perméabilité hydraulique de la membrane mono et bicouche MFI diminue rapidement au début de la phase de conditionnement, et finit par se stabiliser au bout de 15 heures de filtration pour atteindre une valeur minimale de 1,08 x tem-2 et 1,02 x 10-15 m3.ni-2 respectivement. La sélectivité et les performances de filtration de ces membranes vis-à-vis de différents types de solutés (ioniques, molécules organiques, mélanges) ont été analysées à l'issue de la phase de conditionnement. Les résultats obtenus sont très encourageants, ils ont fait l'objet de plusieurs articles de recherche.

Published
2015

250. Synthèse de membranes minérales de nanofiltration par formation de films minces de zéolithes sur un support tubulaire en alumine : étude de l'évolution des propriétés de surface et des caractéristiques de filtration en milieu aqueux

Author

Said, Ali, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Université de Haute Alsace - Mulhouse, Université Libanaise, and Toufic Jean Daou

Subjects
Traitement de l'eau, Zeolite, Mobile FIve, MFI, Zéolithe, Nanofiltration, Seeding and secondary growth, Ensemencement et croissance secondaire, Water treatment, Membrane tubulaire, Tubular membrane, [CHIM.OTHE]Chemical Sciences/Other, Filtration, Films
Abstract

Zeolites are very well-known materials especially for their controlled porosity, their crystalline structures, but also for the different applications where they can be used (catalysis, air treatment,...) . During the past ten years, a lot of developments have been done on the preparation of zeolite membranes for pervaporation applications. The present work explores new developments in the preparation zeolite membranes dedicated to the filtration of salty water. More particularly, we prepared MFI films on specific macroporous alumina tubular supports used for nanofiltration applications. There are different key steps which influence the formation of the MFI films: the cleaning procedure of the substrats, the hydrothermal synthesis conditions, the use of a secondary growth method for when preparing a bi-layered membrane. A complete characterization of the mono and the bi-layered membranes was carried out using various techniques, such as X-ray diffraction, scanning electron microscopy, X-ray fluorescence, energy dispersive X-ray spectroscopy, mercury porosimetry and nitrogen sorption measurements. Results show that a dense, continuous and highly crystallized thin film of MFI bas been obtained on the u-alumina support after the secondary growth experiment. The weight of zeolite deposited on the support was also estimated by nitrogen sorption measurement using the method of mass assessment. The MFI membrane was stabilized by pure water filtration tests until the hydraulic permeability reached a plateau. This conditioning step was necessary to reach an equilibrium state of the hydraulic membrane performances. Particularly, hydration of the MFI layer was a crucial step of the conditioning process, which leads to the modification of the MFI surface properties. The hydraulic permeability of the mono and bi-layer MFI membrane decreased rapidly at the beginning of the conditioning process, and stabilized alter 15 hours to reach 1.08 x 10.141113.m.2 and 1.02 x 10-15 m3.m-2 respectively. Filtration tests were then carried out with a neutral molecule (VB 12) in order to evaluate the mean pore radius of the mono and the bi-layered membranes. A rejection rate of 5% was obtained with the monolayer MFI membrane, while it reaches a value of 50% with the bi-layered one. These results lead to mean pore radius corresponding to 6.4 and 1.7 mn respectively. It menus that even alter the synthesis of the second MFI layer, the membrane porosity remains higher than the porous diameter of the zeolite. Filtration may occur at the interface of the MFI crystals.; Un des enjeux majeurs des procédés membranaires concerne le développement de nouveaux matériaux de filtration stables dont les propriétés texturales et structurales permettent d'orienter la sélectivité des membranes de nanofiltration. En particulier, l'utilisation de matériaux zéoliihiques comme couche filtrante a montré qu'après un traitement chimique adéquat, ces matériaux pouvaient acquérir des propriétés de sélectivité très particulières. Ce travail de thèse propose la synthèse, la caractérisation et l'optimisation de membranes de nanofiltration tubulaires en utilisant une zéolithe de type MFI. Plus particulièrement, des films mono et bicouches de zéolithes de type MFI ont été préparés sur un support tubulaire macroporeux asymétrique en alumine. La diffraction de rayons X et la microscopie électronique à balayage ont permis de déterminer la cristallinité, l'homogénéité et l'épaisseur des filins déposés (7 à 15 i_trn). La manométrie d'adsorption d'azote a été utilisée pour vérifier si la porosité après mise en forme restait accessible, ainsi qu'à déterminer la niasse de zéolithe déposée sur le support tubulaire en alumine. La perméabilité hydraulique, qui caractérise l'hydrodynamique d'une membrane, a été déterminée par filtration d'eau déminéralisée. Cette étape dite « de conditionnement » est nécessaire pour parvenir à un état de performance stable de la membrane (état d'équilibre), La perméabilité hydraulique de la membrane mono et bicouche MFI diminue rapidement au début de la phase de conditionnement, et finit par se stabiliser au bout de 15 heures de filtration pour atteindre une valeur minimale de 1,08 x tem-2 et 1,02 x 10-15 m3.ni-2 respectivement. La sélectivité et les performances de filtration de ces membranes vis-à-vis de différents types de solutés (ioniques, molécules organiques, mélanges) ont été analysées à l'issue de la phase de conditionnement. Les résultats obtenus sont très encourageants, ils ont fait l'objet de plusieurs articles de recherche.

Published
2015

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