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1. Superactivating Bound Entanglement in Quantum Networks via Quantum Zeno Dynamics and a Novel Algorithm for Optimized Zeno Evolution

Author

Fatih Ozaydin, Veysel Bayrakci, Azmi Ali Altintas, and Cihan Bayindir

Subjects
quantum networks, quantum communication, quantum entanglement, bound entanglement, superactivation, quantum Zeno dynamics, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Abstract

An arbitrary amount of entanglement shared among nodes of a quantum network might be nondistillable if the nodes lack the information on the entangled Bell pairs they share. Making such a system distillable, which is called the superactivation of bound entanglement (BE), was shown to be possible through systematic quantum teleportation between the nodes, requiring the implementation of controlled-gates scaling with the number of nodes. In this work, we show in two scenarios that the superactivation of BE is possible if nodes implement the proposed local quantum Zeno strategies based on only single qubit rotations and simple threshold measurements. In the first scenario we consider, we obtain a two-qubit distillable entanglement system as in the original superactivation proposal. In the second scenario, we show that superactivation can be achieved among the entire network of eight qubits in five nodes. In addition to obtaining all-particle distillable entanglement, the overall entanglement of the system in terms of the sum of bipartite cuts is increased. We also design a general algorithm with variable greediness for optimizing the QZD evolution tasks. Implementing our algorithm for the second scenario, we show that a significant improvement can be obtained by driving the initial BE system into a maximally entangled state. We believe our work contributes to quantum technologies from both practical and fundamental perspectives bridging nonlocality, bound entanglement and the quantum Zeno dynamics among a quantum network.

Published
2023
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2. Prisoners’ Dilemma in a Spatially Separated System Based on Spin–Photon Interactions

Author

Azmi Ali Altintas, Fatih Ozaydin, Cihan Bayindir, and Veysel Bayrakci

Subjects
quantum game theory, prisoners’ dilemma, spin–photon interactions, Applied optics. Photonics, TA1501-1820
Abstract

Having access to ideal quantum mechanical resources, the prisoners’ dilemma can be ceased. Here, we propose a distributed quantum circuit to allow spatially separated prisoners to play the prisoners’ dilemma game. Decomposing the circuit into controlled-Z and single-qubit gates only, we design a corresponding spin–photon-interaction-based physical setup within the reach of current technology. In our setup, spins are considered to be the players’ logical qubits, which can be realized via nitrogen-vacancy centers in diamond or quantum dots coupled to optical cavities, and the game is played via a flying photon realizing logic operations by interacting with the spatially separated optical cavities to which the spin qubits are coupled. We also analyze the effect of the imperfect realization of two-qubit gates on the game, and discuss the revival of the dilemma and the emergence of new Nash equilibria.

Published
2022
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6. Danger level ranking of possible dam failures in Turkey by grey relational analysis

Author

Halid Akdemir, Cihan Bayindir, Akdemir, Halid, 312019 [Akdemir, Halid], and 57218310564 [Akdemir, Halid]

Subjects
Baraj arızaları, Grey relational analysis, Gri ilişkisel analiz, Dam failures, Tehlike seviyesi sıralaması, Danger level ranking, Turkey’s dams, Türkiye'nin barajları
Abstract

Although dam failures are not very common in the course of engineering history, they can be catastrophic disasters causing many life losses, so they need to be investigated. Dam failures are difficult problems to analyze due to the complexity of the associated parameters which can be very hard to determine. With this motivation, in this study, grey relational analysis (GRA) was used to rank the danger levels of Turkey's aging 15 dams in case of a possible collapse. The failure mode of each dam was assumed to be a sudden collapse, thus breach development is not considered. This type of failure mode is more commonly observed during major earthquakes. The dams chosen for this study have been selected from the engineering point of view as they have the highest hazard potential in case of failure across the country. Accordingly, the important involved attributes of the model were determined as follows: surrounding population, distance from that population, elevation relative to that population and reservoir size. The weights of these involved attributes were preferred as 0.40, 0.30, 0.10 and 0.20, respectively. In conjunction with the literature on the subject, the distinguished coefficient was selected as 0.5. The risk assessment based on the GRA results is performed for Turkey's 15 dams involved in the study. The output of this study will contribute to the disaster and risk management policies of Turkey's dams and will have similar applications worldwide. No sponsor

Published
2022

7. Fuzzy predictor of daily average water consumption per capita for Turkey

Author

Halid Akdemir, Cihan Bayindir, Akdemir, Halid, 312019 [Akdemir, Halid], and 57218310564 [Akdemir, Halid]

Subjects
Fuzzy logic, Water consumption of Turkey, Daily average water consumption per capita, Kişi başına günlük ortalama su tüketimi, Bulanık mantık, Türkiye'nin su tüketimi
Abstract

The amount of daily water demanded by individuals is used as a basic parameter in the design of infrastructure systems. The purpose of this study is to examine the daily average water consumption per capita (WCPC) values used as infrastructure basic design parameters and suggested by Turkish Standards across Turkey. Accordingly, one of the aims of this study is to reveal how accurately these standards predict WCPC values, the other one is to create a model predicting better with low error rate and trend-reflecting values. WCPC belonging to 2018 for 30 Turkish cities was introduced. According to this research study, the average WCPC was found out to be 126.6 liters across the country and it ranges from 67.7 to 208 liters. The average loss percent of discharge of the cities across the country is 42% while it ranges from 23% to 71%. 10 parameters for each city that had the potential to influence water consumption are following; average temperature, maximum temperature, average precipitation, humidity, water price, population, population density, sunshine duration, tourism intensity, and industry level. Since the problem is complex, the fuzzy logic method, which is a rule-based algorithm from the soft computing methods, was preferred and found suitable on the stage of creating the predictor model. The fuzzy model was formed with an expert perspective approach. The accuracy of the values proposed by the fuzzy model and the standards were measured and compared with R2 and RMSE parameters. The coefficient of determination of Altınbilek’s values, 2013 Provincial Bank, which are Turkish Standards, and the fuzzy model were found out as -4.77, -0.55, and 0.41, respectively. The poor estimation ability of the standards has revealed the need for the model that is able to make better estimation and measurement results proved the necessity of future examination of the predictions. No sponsor

Published
2022

9. Prediction of the Spatiotemporal Dynamics of von Kármán Vortices by ANFIS

Author

Cihan Bayindir, Halid Akdemir, Akdemir, Halid, 312019 [Akdemir, Halid], and 57218310564 [Akdemir, Halid]

Subjects
Ginzburg-Landau denklemi, Ginzburg-Landau equation, ANFIS, Von Kármán Vortices
Abstract

Wakes and vortices are commonly observed in fluid flows around bluff bodies, a phenomenon which is called vortex shedding. Such vortices are named as von Kármán vortices since their first investigation is performed by the leading fluid dynamicist Theodore von Kármán. Although initially observed in the studies of fluid flows, the same phenomenon can also be observed in different branches of mediums such as condensates. It is possible to model these vortices using numerical techniques that solve the Navier-Stokes equations, however, some dynamic equations such as the complex Ginzburg-Landau (GL) equation is another frequently used model for these purposes. In this paper, we solve the GL equation using a spectral scheme and Runge-Kutta time integrator to simulate the dynamics of von Kármán vortices around a cylinder. The prediction of temporal dynamics is of crucial importance to avoid excessive shedding, resonance, and structural damage of the engineering structures. With this motivation, here we examine the predictability of the von Kármán vortices using the adaptive neuro-fuzzy inference system (ANFIS) which relies on a rule-based relationship between input values and output values that are learned adaptively by being trained with the data set analyzed. We show that the temporal dynamics of the von Kármán vortices can be adequately performed by ANFIS and we report the prediction success of the ANFIS in the solution of this complex prediction problem measured by the coefficient of determination (𝑅) and the root mean square error (𝑅𝑀𝑆𝐸) values. Our results can be used for predicting, interpolating, and extrapolating vortex data to analyze fluid dynamics problems and to develop control strategies for avoiding structural failures. No sponsor

Published
2022
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10. INVESTIGATION OF THE EFFECTS OF THE ADDITION OF TITANIUM DIOXIDE (TiO2) NANOPARTICLE FUEL ADDITIVE IN COTTON BIODIESEL ON ENGINE PERFORMANCE

Author

MEHMET CELIK and CIHAN BAYINDIRLI

Subjects
combustion, biodiesel, titanium dioxide (TiO2), NPs, engine performance, Technology, Engineering (General). Civil engineering (General), TA1-2040
Abstract

The importance of renewable fuels as an alternative to fossil fuels is increasing due to environmental problems such as the decrease in the reserves of fossil fuels, their presence in certain regions, air pollution and global warming. Two important parameters of biodiesel fuel, which is one of these fuel types, such as high viscosity and density, negatively affect its use. One of the ways to overcome this negative situation is to improve the fuel properties by adding nano fuel additives into biodiesel. In this study, titanium dioxide nano fuel additive was added to biodiesel obtained from cottonseed oil at the rates of 50 ppm and 75 ppm. Specific fuel consumption, brake thermal efficiency and cylinder pressure values, which are the basic performance parameters of the fuel mixtures, were determined in a single cylinder engine at 1800 rpm at 4 different engine loads. According to C100 fuel SFC decreased by 5.03% and 6.29% at 10 Nm load, respectively in CTi-50 and CTi-75 fuels. This improvement rate was 8.73% and 12.58% at 40 Nm load. BTE increased by 8.97% and 13.17% with NPs additives. Thanks to the thermophysical properties of the titanium dioxide fuel additive, the combustion reaction has improved and cylinder pressure increased. It was determined in the study that it positively affected the engine performance and fuel economy.

Published
2024

11. STUDYING HOW DIESEL ENGINE ADDITIVES USING SILVER OXIDE (Ag2O) NANOPARTICLES AFFECT THE ENVIRONMENT

Author

CIHAN BAYINDIRLI and MEHMET CELIK

Subjects
exhaust emission, biodiesel, diesel engine, silver oxide (Ag2O), nanoparticles, Technology, Engineering (General). Civil engineering (General), TA1-2040
Abstract

Abstract: Biodiesel has been defined as an alternative fuel that has the potential to be used instead of diesel fuel for years. In case of complete combustion reaction in engines, the products released do not directly threaten human health. Compared to diesel fuel, biodiesel has worse combustion performance due to some fuel properties. Therefore, incomplete combustion products such as hydrocarbon (HC), carbon monoxide (CO), nitrogen oxide (NOx), smoke emission and complete combustion products such as CO2 are thrown into the atmosphere. In this study, the changes in exhaust emissions of 50 ppm and 75 ppm Ag2O NPs were experimentally examined to improve the adverse combustion performance and emission characteristics of cottonseed oil methyl ester. In experiments, nano additive improved the thermal conductivity, mass dissipation and heat transfer of the test fuels, and resulted in reducing of CO emissions as it provided a higher oxidation rate of hydrocarbon molecules. Due to the improvement in the combustion reaction, CO2 emission increased with product of complete combustion. The increase in CO2 emissions was 3.17% and 3.97% for CAg-50 and CAg-75 fuels, respectively, when compared to C0 fuel at 40 Nm load. The NPs additive increased the lower calorific value of the fuel and cylinder temperature. This situation caused increase of NOx emissions by 3.69% and 7.47% CAg-50 and CAg-75 fuels 40 Nm load. Adding of NPs in base fuel reduced to viscosity and density provided better atomization. So a reduction in smoke emission was obtained with NPs addition by 35.09% and 47.32% in CAg-50 and CAg-75 fuels, respectively, compared to C0 fuel at 10 Nm load, while 7.45% and 19.43% at 40 Nm load.

Published
2024

12. Petviashvili Method for the Fractional Schrödinger Equation

Author

Azmi Altintas, Fatih Ozaydin, Cihan BAYINDIR, and Sofi Farazande

Subjects
Statistics and Probability, harmonic-oscillator, fractional nonlinear Schrödinger equation, Petviashvili method, potential function, solitons, q-deformation, FOS: Physical sciences, Statistical and Nonlinear Physics, petviashvili method, Pattern Formation and Solitons (nlin.PS), self-localized solitons, quantum, Nonlinear Sciences::Exactly Solvable and Integrable Systems, fractional nonlinear schrodinger equation, Nonlinear Sciences::Pattern Formation and Solitons, Analysis
Abstract

In this paper, we extend the Petviashvili method (PM) to the fractional nonlinear Schrödinger equation (fNLSE) for the construction and analysis of its soliton solutions. We also investigate the temporal dynamics and stabilities of the soliton solutions of the fNLSE by implementing a spectral method, in which the fractional-order spectral derivatives are computed using FFT routines, and the time integration is performed by a $4^{th}$ order Runge-Kutta time-stepping algorithm. We discuss the effects of the order of the fractional derivative, $α$, on the properties, shapes, and temporal dynamics of the solitons solutions of the fNLSE. We also examine the interaction of those soliton solutions with zero, photorefractive and q-deformed Rosen-Morse potentials. We show that for all of these potentials the soliton solutions of the fNLSE exhibit a splitting and spreading behavior, yet their dynamics can be altered by the different forms of the potentials and noise considered., Typos are corrected and results and discussions are elaborated in v2 of the paper

Published
2021
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13. q-Deformed three-level quantum logic

Author

Cihan Bayindir, Azmi Ali Altintas, and Fatih Ozaydin

Subjects
Physics, Statistical and Nonlinear Physics, 01 natural sciences, Quantum logic, 010305 fluids & plasmas, Theoretical Computer Science, Electronic, Optical and Magnetic Materials, Theoretical physics, Quantum gate, Modeling and Simulation, 0103 physical sciences, Signal Processing, Quantum system, Electrical and Electronic Engineering, Qutrit, 010306 general physics, Quantum information science, Quantum, Harmonic oscillator, Quantum computer
Abstract

Three-level information plays an important role in the quantum domain. However, q-deformed three-level quantum logic is missing. Here, we address this problem and following Schwinger representation and using q-deformed harmonic oscillators, we construct three-level quantum system (qutrits), as well as one-, two- and three-qutrit q-deformed quantum logic gates. We believe our findings have a potential to contribute to q-deformed quantum science and technology.

Published
2020
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14. Self-localized Solitons of a q-Deformed Quantum System

Author

Fatih Ozaydin, Cihan Bayindir, and Azmi Ali Altintas

Subjects
nlin.PS, FOS: Physical sciences, Pattern Formation and Solitons (nlin.PS), 01 natural sciences, Noise (electronics), Instability, 010305 fluids & plasmas, symbols.namesake, quant-ph, 0103 physical sciences, Quantum system, Rogue wave, 010306 general physics, Nonlinear Schrödinger equation, Nonlinear Sciences::Pattern Formation and Solitons, General Theoretical Physics, Physics, Numerical Analysis, Quantum Physics, Applied Mathematics, Nonlinear Sciences - Pattern Formation and Solitons, Classical mechanics, Nonlinear Sciences::Exactly Solvable and Integrable Systems, Modeling and Simulation, symbols, Soliton, Spectral method, Quantum Physics (quant-ph), Monochromatic electromagnetic plane wave, Nonlinear Systems
Abstract

Beyond a pure mathematical interest, q-deformation is promising for the modeling and interpretation of various physical phenomena. In this paper, we numerically investigate the existence and properties of the self-localized soliton solutions of the nonlinear Schrodinger equation (NLSE) with a q-deformed Rosen–Morse potential. By implementing a Petviashvili method (PM), we obtain the self-localized one and two soliton solutions of the NLSE with a q-deformed Rosen–Morse potential. In order to investigate the temporal behavior and stabilities of these solitons, we implement a Fourier spectral method with a 4th order Runge–Kutta time integrator. We observe that the self-localized one and two solitons are stable and remain bounded with a pulsating behavior and minor changes in the sidelobes of the soliton waveform. Additionally, we investigate the stability and robustness of these solitons under noisy perturbations. A sinusoidal monochromatic wave field modeled within the frame of the NLSE with a q-deformed Rosen–Morse potential turns into a chaotic wavefield and exhibits rogue oscillations due to modulation instability triggered by noise, however, the self-localized solitons of the NLSE with a q-deformed Rosen–Morse potential are stable and robust under the effect of noise. We also show that soliton profiles can be reconstructed after a denoising process performed using a Savitzky–Golay filter.

Published
2020

15. A tomographic approach for the early detection of 2D rogue waves

Author

Cihan BAYINDIR

Subjects
Breathers, Early detection, Compressive sensing, Hirota method, Nonlinear Sciences::Pattern Formation and Solitons, 2D rogue waves, Tomography, Soliton solution
Abstract

In this paper we propose an efficient tomographic approach for the early detection of 2D rogue waves. The method relies on the principle of detecting conical spectral features before rogue wave becomes evident in time. More specifically, the proposed method is based on constructing the 1D Radon transforms of the emerging conical 2D spectra of the wavefield using compressive sampling (CS) and then constructing 2D spectra from those projections using filtered back projection (FBP) algorithm. For the 2D rogue wave models we use the radially symmetric Peregrine soliton and Akhmediev Peregrine soliton solutions of the nonlinear Schrödinger equation, which can model characteristics of the peaked structure of 2D rogue waves and their conical spectra which may be treated as a sparse signal. We show that emerging conical spectra of 2D rogue waves before they become evident in time can be acquired efficiently by the proposed method. Publisher's Version

Published
2020

16. HE-LHC: The High-Energy Large Hadron Collider Future Circular Collider Conceptual Design Report Volume 4

Author

Pushpalatha C Bhat, B. Seeber, C. Pagliarone, Marco Statera, Victor P. Goncalves, Daria Astapovych, W. Bartmann, S. Iwamoto, M. Mentink, Alessandro Tricoli, E. R. Bielert, Laurent Chevalier, Patrick Koppenburg, Marco Calviani, C. Montag, P. Spiller, Jan Uythoven, P. Di Nezza, G. Guillermo Canton, B. Sailer, Markus Elsing, Sara Khatibi, Luca Vecchi, Luigi Palumbo, J. P. Penttinen, T. Podzorny, Maneesh Kumar, J. M. Rifflet, C. Kotnig, Jean Zinn-Justin, Christopher B. Verhaaren, A. Chernoded, Alessandro Bertarelli, L. M. Tkachenko, C. Koeberl, P. J. Mallon, M. Takeuchi, W. Venturini Delsolaro, G. Lamanna, S. Weinzierl, J. Gao, W. Kaabi, David D'Enterria, D. Barna, Paolo Castelnovo, Rajat Gupta, Oliver Boine-Frankenheim, Adarsh Pyarelal, Andreas Salzburger, Tessa Charles, M.E. Biagini, O. Panella, M. Stuart, A. Kollegger, V. Garcia Diaz, Olcay Bolukbasi, Maurizio Pierini, H. Aksakal, Tord Riemann, Abhishek M. Iyer, V. Shiltsev, D. Buttazzo, J. Blümlein, Prateek Agrawal, L. Sestini, Martin Bauer, Felicitas Pauss, S. Fiorendi, F. Bossu, Marco Nardecchia, C. Leonidopoulos, Wojciech Kotlarski, A. Saba, I. Bautista-Guzmán, W. Hillert, Giorgio Ambrosio, T. Lehtinen, Michael Andrew Parker, Silvia Taroni, Gian F. Giudice, Ph. Lebrun, Johann A. Briffa, T. Risselada, Giuseppe Lerner, A. Lechner, L. S. Miralles, M. Kuze, J. M. Valet, P. S. B. Dev, S. Holleis, Ph. Schwemling, M. Biglietti, S. Banerjee, Thomas Schörner-Sadenius, A. Sanz Ull, V. Tikhomirov, S. Savelyeva, Jiayin Gu, D. Zhou, Federico Ravotti, S. A. Bogacz, Daniele Mirarchi, R. Tomás García, Yann Coadou, F. Yu, Y. Cai, T. Lari, F. Holdener, D. Shwartz, C. Bhat, Ramesh Gupta, Markus Klute, E. Palmieri, P. Collier, Branislav Sitar, Yves Sirois, Livio Fanò, S. Rojas-Torres, E. Locci, Ruben Garcia Alia, I. Božović Jelisavić, R. Chehab, J. A. Aguilar-Saavedra, M. Pasquali, A. Di Cicco, Bernhard Auchmann, Klaus Heinemann, Alessia Tricomi, D. Lucchesi, B. Haerer, M. Morrone, Paolo Giacomelli, Sonia Carra, A. Senol, Ivan Koop, Luca Silvestrini, Anna Stakia, Heather Gray, E. Skordis, A. D. Kovalenko, Paul Langacker, R. Li, Bernardo Bordini, R. Rata, Arjan Verweij, Shehu S. AbdusSalam, Andrey Karyukhin, U. van Rienen, Gianluigi Arduini, Bernhard Holzer, S. A. Nikitin, S. S. Kozub, Satoshi Mishima, B. Di Micco, S. Izquierdo Bermudez, N. Pukhaeva, Nigel Watson, F. Prino, Jean-Michel Sallese, Sotirios Vlachos, Alessandro Vicini, A. Valassi, Daniel Treille, F. Dordei, A. M. Fernandez Navarro, B. Dziewit, Marcello Abbrescia, J. M. Hauptman, I. Chaikovska, Paolo Giubellino, Michael J. Baker, V.V. Kashikhin, Friedrich Lackner, Filippo Sala, A. Langner, D. Pulikowski, H. Eriksson, Matteo Turri, Andrea Wulzer, M. Aiba, Lisa Borgonovi, I. Morozov, V. Haurylavets, J. F. Croteau, S. Boselli, L. A. Gonzalez Gomez, Claudia Tambasco, F. Mahmoudi, Sébastien Descotes-Genon, A. Luciani, Pavel Piminov, M. Varasteh, T. Herzig, Sandra Aumon, Cristina Bernini, Joseph Bramante, Roberta Arnaldi, G. Zick, Daniel Schulte, R. Santoro, Anna Kulesza, I. Turk Cakir, M. Nonis, Silvia Posada Arias, Livia Soffi, T. Wojtoń, E. Cennini, Florian Bauer, B. Rousset, J.-L. Grenard, C. Neubüser, Frederic Derue, Loukas Gouskos, Rainer Wallny, G. Calderini, M. Merk, M. Mühlegger, Roberto Cimino, M. Ramsey-Musolf, P. Rebello Teles, Mario Galanti, Mikhail Shaposhnikov, A. Andreazza, Maria Vittoria Garzelli, Masaya Ishino, José W. F. Valle, Colin Bernet, G. Velev, Cristina Botta, E. Fischer, J. Malclés, Giuseppe Montenero, Tripurari Srivastava, E. Renner, Shahnam Gorgi Zadeh, D. Cantore-Cavalli, Paul Laycock, J. Komppula, Simon C. Hopkins, Helmut Burkhardt, Eric Lancon, I. Aichinger, Andre Sznajder, F. Bordry, Massimo Giovannozzi, Aidan Robson, Anna Giunta, A. Carvalho, S. Farinon, Daniel Wollmann, M. Fouaidy, Martti Raidal, R. Gerard, Giovanni Volpini, U. Niedermayer, A. Alekou, Alexander J.G. Lunt, Vincenzo Cavasinni, Andrzej Siodmok, U. Kaya, Matthias Schott, Marumi Kado, S. A. Arsenyev, José Zurita, John Osborne, Patrick Meade, Gianmarco Bovone, G. Li, Klaus Schlenga, Antti Stenvall, D. Duellmann, Werner Riegler, I. Garzia, Yasuyuki Okumura, G. Pikurs, F. Maltoni, Massimo Sorbi, M. Arzeo, B. Strauss, Y. W. Baek, Mauro Chiesa, K. Ilyina-Brunner, Javier L. Albacete, R. Farinelli, C. Pes, Nicolas Morange, S. M. Zernov, U. Wagner, Emmanuelle Perez, G. G. Da Silveira, J. Neundorf, Néstor Armesto, T. Hahn, Roman N. Lee, Roderik Bruce, B. Y. Sharkov, T. du Pree, G. Cibinetto, Evelin Meoni, R. Rinaldesi, James A. Ellison, Radim Slovak, Silvia Franchino, Mikko Laine, T. Pugnat, S. P. Das, Yuji Enari, Emanuela Barzi, Cihan Bayindir, R. Boels, Jana Faltova, M. Moreno Llácer, Scott A. Yost, Michael Spannowsky, Florian Burkart, Marcin Chrzaszcz, K. Suzuki, Luca Trentadue, S. Masciocchi, Gilad Perez, Steve Peggs, K. Sugita, Eleonora Belli, Carmine Senatore, K. Y. Oyulmaz, Aldo Deandrea, Irakli Minashvili, Desmond P. Barber, M. I. Martínez-Hernández, A. Apyan, S. Petracca, Mikael Chala, Urs Achim Wiedemann, T. Sian, Olivier Deschamps, R. Monge, G. Avrillaud, Jan Kieseler, Hubert Spiesberger, J. Maitre, G. D. Shirkov, M. Hofer, Emanuela Sirtori, Sinan Kuday, Kirill Skovpen, Sara Casalbuoni, Johann Usovitsch, N. Chen, G. Tejeda-Muñoz, F. Bellini, E. Chyhyrynets, Michael Stöger-Pollach, M. Vogel, J. G. Mendes Saraiva, A. Rivetti, M. Podeur, Luc Poggioli, V. A. Gromov, R. Sirvinskaite, S. B. Leith, Giancarlo D'Ambrosio, Tony Price, Philippe Mermod, Rabindra N. Mohapatra, T. Mitshuhashi, Koji Terashi, Leonel Ferreira, L. Vale Silva, N. Muchnoi, J. L. Stanyard, Thomas Marriott-Dodington, A. Andriatis, Oleg Solovyanov, A. Daljevec, A. Butterworth, S. Myers, D. Chanal, Tatiana Pieloni, M. Rodríguez-Cahuantzi, G. Nardini, D. Boscherini, Kazuhito Ohmi, James Molson, S. Kowalski, Christoph Haberstroh, Martin Aleksa, K. Kershaw, M. Mulder, Leonid Rivkin, G. Vorotnikov, Luigi Salvatore Esposito, J. Kalinowski, Michele Cascella, Francesco Giffoni, Alessandro Polini, Georges Azuelos, M. Prioli, Wolfgang Altmannshofer, S. K. Patra, H. J. He, J. J. Aguilera-Verdugo, Hannu Paukkunen, P. Chomaz, Shoji Asai, Nicolas Magnin, Gavin P. Salam, R. Wang, F. Avino, Alexander Romanenko, A. Rossi, Steve Muanza, Richard Ruiz, Dmitry Teytelman, S. Klöppel, S. Atieh, M. Mohammadi Najafabadi, L. Apolinario, Andrea Tesi, M. Maggiora, A. Falkowski, Janusz Gluza, M. Sauvain, Hamzeh Khanpour, S. Chance, Ansgar Denner, Ma. Greco, Andreas Papaefstathiou, Manuela Boscolo, Joydeep Chakrabortty, E. Franco, R. R. Bosley, G. Peón, Fred Olness, Simone Alioli, Andrea Gaddi, M. K. Sullivan, M. Segreti, M. Panareo, Florian Goertz, Z. G. Zhao, H. Chanal, O. Martin, P. Azzurri, Agnieszka Chmielinska, M. Kordiaczyńska, O. Brunner, J. Von Ahnen, Jose Santiago, K. Foraz, Y. Alexahin, Marcello Mannelli, Christian Schwanenberger, S. Ganjour, Simone Marzani, T. M. Taylor, S. Di Vita, J. Womersley, I. Karpov, Valentina Morretta, Saverio D'Auria, Patrick Draper, B. Hacışahinoğlu, E. Gorini, Andrew J. Long, S. La Mendola, G. Zevi Dell Porta, I. Abdyukhanov, M. Cobal, Luca Marzola, E. Rochepault, A. Kusina, German Rodrigo, R. Schmidt, Jan Steggemann, E. Premat, P. Slavich, F. Gianotti, P. Jarry, Ram Krishna Dewanjee, L. Felsberger, T. Martinez, A. Niemi, Jürgen Reuter, P. A. Bruckman de Renstrom, Ryu Sawada, J. T. Childers, Gelsomina Catalano, P. Barjhoux, O. R. Blanco-García, Pilar Hernández, H. Correia-Rodrigues, V. Ippolito, S. De Curtis, Juan Rojo, Ayberk Yilmaz, S. Baird, Morteza Khatiri Yanehsari, Enrico Scomparin, Daniel Appelö, J. Kozaczuk, Matthew Jones, B. Caiffi, C. Del Bo, Susanna Guiducci, Giuliano Panico, M. Knecht, J. Coupard, M. Ciuchini, H. Kritscher, Claire Gwenlan, P. Costa Pinto, Thibaut Lefèvre, N. Bellegarde, Christian Scheuerlein, P. Ferreira da Silva, M. Verducci, X. Ruan, H. Pikhartova, Juan M. O'Callaghan, Kazuro Furukawa, D. Saez de Jauregui, Maria Rescigno, Stephan Eisenhardt, Andrea Dainese, Z. Drásal, G. H. Corral, J. M. Camalich, John Ellis, E. Gabrielli, L. Rumyantsev, A. Caliskan, K. Brunner, K. Tang, P. Sopicki, J. Fan, Marcin Kucharczyk, S. Gorgi Zadeh, Carlos A. Salgado, Simone Bologna, Y. Muttoni, A. Chancé, Patrick Jenny, Mark Boland, G. Yang, G. Wilkinson, Roger J. Hernández-Pinto, M. Novák, Gennady Stupakov, E. Jensen, Lance D. Cooley, Torbjörn Sjöstrand, S. Su, Matthew Luzum, J. Casas, Per Osland, T. Robens, Oscar A. Sampayo, Evgeny Levichev, P. N. Ratoff, G. Rolandi, M. A. Valdivia Garcia, Anthony Keith Morley, L. van Riesen-Haupt, A. Sublet, M. A. Mazzoni, J.L. Gutierrez, A. Abramov, Abbas Kenan Ciftci, A. Provino, L. Delle Rose, John Fox, Barry M. Dillon, V. Smirnov, G. N. Taylor, Anke-Susanne Müller, C. Pira, Fulvio Piccinini, A. Faus-Golfe, Pietro Antonioli, S. Sanfilippo, Julien Cogan, A. Ribon, Andrew Hutton, Frank Zimmermann, Lev Dudko, Erez Etzion, J. Polinski, G. Bencivenni, M. 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Gobbi, Michael Hance, A. J. Barr, V. Del Duca, V. Guzey, M. Pont, Michele Selvaggi, Oliver Brüning, J. Barreiro Guimarães da Costa, A. Drago, Y. Zhang, Giovanni Punzi, Viktor Matveev, Anadi Canepa, Clemens Lange, B. L. Militsyn, Martijn Mulders, Max Klein, V. D’Auria, M. Mylona, Valeria Braccini, S. DasBakshi, David Calvet, Sophia Borowka, David Marzocca, S. Jadach, A. A. Pankov, Christophe Ochando, A. A. Tudora, I. Masina, Jure Zupan, A. Preinerstorfer, Benjamin Fuks, H. K. Soltveit, G. Rolando, E.E. Perepelkin, T. G. Rizzo, Saleh Sultansoy, Federico Roncarolo, K. Elsener, R. Q. Pan, P. Zhuang, David Attié, Jac Perez, K. Kravalis, F. Anulli, V. Ruhlmann-Kleider, S. Malvezzi, Steffen A. Bass, E. La Francesca, Heinz Pernegger, K. Grzanka, M. T. Tiirakari, Alberto Ventura, Alessandro Cerri, Marco Peruzzi, Eric Montesinos, O. Etisken, F. Grancagnolo, S. Kartal, H. Humer, Oliver Fischer, M. Primavera, Marco Toliman Lucchini, P. Vedrine, Felix Kling, M. Altınlı, Sergio Calatroni, C. Han, Olivier Leroy, R. T. D’Agnolo, N. Klinkenberg, A. Audurier, Tatsushi Nakamoto, Ali Bozbey, Bernd A. Kniehl, Carl J. Debono, I. P. J. Shipsey, Gregorio Bernardi, Paolo Nason, William James Fawcett, J. M. Jiménez, D. Denisov, M. Serluca, David Curtin, Arif Akhundov, M. García Pérez, Iacopo Vivarelli, Emanuele Bacchiocchi, Markus Zerlauth, Julia Hrdinka, F. Butin, F. Müller, D. Tikhonov, Jorg Wenninger, A. Kilic, Fabrizio Ferro, J. Tanaka, S. A. Antipov, Miroslav Atanasov, S. Kuttimalai, A. Y. Starikov, F. R. Blánquez, S. V. Furuseth, G. Gaudio, L. Malgeri, J. Curti, B. Turbiarz, S. Li, A. Romanov, Costas G. Papadopoulos, Brennan Goddard, Frank Krauss, Lidija Zivkovic, Toms Torims, Michaela Lackner, D. A. Lyubimtsev, G. Borghello, J. F. Grosse-Oetringhaus, A. Bogomyagkov, H. Duran Yildiz, N. Foppiani, Arthur Schaffer, J. Zhou, D. Liberati, Vincenzo Guidi, Naeem A. Tahir, M. Besançon, Daniel Schoerling, Joe Incandela, Giacomo Polesello, O. Cakir, I. Ruehl, Ruggero Vaglio, Z. 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Zurita, J, Işık Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü, Işık University, Faculty of Engineering, Department of Civil Engineering, Bayındır, Cihan, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. RF&MW - Grup de Recerca de sistemes, dispositius i materials de RF i microones, Abada A., Abbrescia M., AbdusSalam S.S., Abdyukhanov I., Abelleira Fernandez J., Abramov A., Aburaia M., Acar A.O., Adzic P.R., Agrawal P., Aguilar-Saavedra J.A., Aguilera-Verdugo J.J., Aiba M., Aichinger I., Aielli G., Akay A., Akhundov A., Aksakal H., Albacete J.L., Albergo S., Alekou A., Aleksa M., Aleksan R., Alemany Fernandez R.M., Alexahin Y., Alia R.G., Alioli S., Alipour Tehrani N., Allanach B.C., Allport P.P., Altinli M., Altmannshofer W., Ambrosio G., Amorim D., Amstutz O., Anderlini L., Andreazza A., Andreini M., Andriatis A., Andris C., Andronic A., Angelucci M., Antinori F., Antipov S.A., Antonelli M., Antonello M., Antonioli P., Antusch S., Anulli F., Apolinario L., Apollinari G., Apollonio A., Appelo D., Appleby R.B., Apyan A., Arbey A., Arbuzov A., Arduini G., Ari V., Arias S., Armesto N., Arnaldi R., Arsenyev S.A., Arzeo M., Asai S., Aslanides E., Assmann R.W., Astapovych D., Atanasov M., Atieh S., Attie D., Auchmann B., Audurier A., Aull S., Aumon S., Aune S., Avino F., Avrillaud G., Aydin G., Azatov A., Azuelos G., Azzi P., Azzolini O., Azzurri P., Bacchetta N., Bacchiocchi E., Bachacou H., Baek Y.W., Baglin V., Bai Y., Baird S., Baker M.J., Baldwin M.J., Ball A.H., Ballarino A., Banerjee S., Barber D.P., Barducci D., Barjhoux P., Barna D., Barnafoldi G.G., Barnes M.J., Barr A., Barranco Garcia J., Barreiro Guimaraes da Costa J., Bartmann W., Baryshevsky V., Barzi E., Bass S.A., Bastianin A., Baudouy B., Bauer F., Bauer M., Baumgartner T., Bautista-Guzman I., Bayindir C., Beaudette F., Bedeschi F., Beguin M., Bellafont I., Bellagamba L., Bellegarde N., Belli E., Bellingeri E., Bellini F., Bellomo G., Belomestnykh S., Bencivenni G., Benedikt M., Bernardi G., Bernardi J., Bernet C., Bernhardt J.M., Bernini C., Berriaud C., Bertarelli A., Bertolucci S., Besana M.I., Besancon M., Beznosov O., Bhat P., Bhat C., Biagini M.E., Biarrotte J.-L., Bibet Chevalier A., Bielert E.R., Biglietti M., Bilei G.M., Bilki B., Biscari C., Bishara F., Blanco-Garcia O.R., Blanquez F.R., Blekman F., Blondel A., Blumlein J., Boccali T., Boels R., Bogacz S.A., Bogomyagkov A., Boine-Frankenheim O., Boland M.J., Bologna S., Bolukbasi O., Bomben M., Bondarenko S., Bonvini M., Boos E., Bordini B., Bordry F., Borghello G., Borgonovi L., Borowka S., Bortoletto D., Boscherini D., Boscolo M., Boselli S., Bosley R.R., Bossu F., Botta C., Bottura L., Boughezal R., Boutin D., Bovone G., Bozovic Jelisavic I., Bozbey A., Bozzi C., Bozzini D., Braccini V., Braibant-Giacomelli S., Bramante J., Braun-Munzinger P., Briffa J.A., Britzger D., Brodsky S.J., Brooke J.J., Bruce R., Bruckman De Renstrom P., Bruna E., Bruning O., Brunner O., Brunner K., Bruzzone P., Buffat X., Bulyak E., Burkart F., Burkhardt H., Burnet J.-P., Butin F., Buttazzo D., Butterworth A., Caccia M., Cai Y., Caiffi B., Cairo V., Cakir O., Calaga R., Calatroni S., Calderini G., Calderola G., Caliskan A., Calvet D., Calviani M., Camalich J.M., Camarri P., Campanelli M., Camporesi T., Canbay A.C., Canepa A., Cantergiani E., Cantore-Cavalli D., Capeans M., Cardarelli R., Cardella U., Cardini A., Carloni Calame C.M., Carra F., Carra S., Carvalho A., Casalbuoni S., Casas J., Cascella M., Castelnovo P., Castorina G., Catalano G., Cavasinni V., Cazzato E., Cennini E., Cerri A., Cerutti F., Cervantes J., Chaikovska I., Chakrabortty J., Chala M., Chamizo-Llatas M., Chanal H., Chanal D., Chance S., Chance A., Charitos P., Charles J., Charles T.K., Chattopadhyay S., Chehab R., Chekanov S.V., Chen N., Chernoded A., Chetvertkova V., Chevalier L., Chiarelli G., Chiarello G., Chiesa M., Chiggiato P., Childers J.T., Chmielinska A., Cholakian A., Chomaz P., Chorowski M., Chou W., Chrzaszcz M., Chyhyrynets E., Cibinetto G., Ciftci A.K., Ciftci R., Cimino R., Ciuchini M., Clark P.J., Coadou Y., Cobal M., Coccaro A., Cogan J., Cogneras E., Collamati F., Colldelram C., Collier P., Collot J., Contino R., Conventi F., Cook C.T.A., Cooley L., Corcella G., Cornell A.S., Corral G.H., Correia-Rodrigues H., Costanza F., Costa Pinto P., Couderc F., Coupard J., Craig N., Crespo Garrido I., Crivellin A., Croteau J.F., Crouch M., Cruz Alaniz E., Cure B., Curti J., Curtin D., Czech M., Dachauer C., D'Agnolo R.T., Daibo M., Dainese A., Dalena B., Daljevec A., Dallapiazza W., D'Aloia Schwartzentruber L., Dam M., D'Ambrosio G., Das S.P., DasBakshi S., da Silva W., da Silveira G.G., D'Auria V., D'Auria S., David A., Davidek T., Deandrea A., de Blas J., Debono C.J., De Curtis S., De Filippis N., de Florian D., Deghaye S., de Jong S.J., Del Bo C., Del Duca V., Delikaris D., Deliot F., Dell'Acqua A., Delle Rose L., Delmastro M., De Lucia E., Demarteau M., Denegri D., Deniau L., Denisov D., Denizli H., Denner A., d'Enterria D., de Rijk G., De Roeck A., Derue F., Deschamps O., Descotes-Genon S., Dev P.S.B., de Vivie de Regie J.B., Dewanjee R.K., Di Ciaccio A., Di Cicco A., Dillon B.M., Di Micco B., Di Nezza P., Di Vita S., Doblhammer A., Dominjon A., D'Onofrio M., Dordei F., Drago A., Draper P., Drasal Z., Drewes M., Duarte L., Dubovyk I., Duda P., Dudarev A., Dudko L., Duellmann D., Dunser M., du Pree T., Durante M., Duran Yildiz H., Dutta S., Duval F., Duval J.M., Dydyshka Y., Dziewit B., Eisenhardt S., Eisterer M., Ekelof T., El Khechen D., Ellis S.A., Ellis J., Ellison J.A., Elsener K., Elsing M., Enari Y., Englert C., Eriksson H., Eskola K.J., Esposito L.S., Etisken O., Etzion E., Fabbricatore P., Falkowski A., Falou A., Faltova J., Fan J., Fano L., Farilla A., Farinelli R., Farinon S., Faroughy D.A., Fartoukh S.D., Faus-Golfe A., Fawcett W.J., Felici G., Felsberger L., Ferdeghini C., Fernandez Navarro A.M., Fernandez-Tellez A., Ferradas Troitino J., Ferrara G., Ferrari R., Ferreira L., Ferreira da Silva P., Ferrera G., Ferro F., Fiascaris M., Fiorendi S., Fiorio C., Fischer O., Fischer E., Flieger W., Florio M., Fonnesu D., Fontanesi E., Foppiani N., Foraz K., Forkel-Wirth D., Forte S., Fouaidy M., Fournier D., Fowler T., Fox J., Francavilla P., Franceschini R., Franchino S., Franco E., Freitas A., Fuks B., Furukawa K., Furuseth S.V., Gabrielli E., Gaddi A., Galanti M., Gallo E., Ganjour S., Gao J., Garcia Diaz V., Garcia Perez M., Garcia Tabares L., Garion C., Garzelli M.V., Garzia I., Gascon-Shotkin S.M., Gaudio G., Gay P., Ge S.-F., Gehrmann T., Genest M.H., Gerard R., Gerigk F., Gerwig H., Giacomelli P., Giagu S., Gianfelice-Wendt E., Gianotti F., Giffoni F., Gilardoni S.S., Gil Costa M., Giovannetti M., Giovannozzi M., Giubellino P., Giudice G.F., Giunta A., Gladilin L.K., Glukhov S., Gluza J., Gobbi G., Goddard B., Goertz F., Golling T., Goncalves V.P., Goncalo R., Gonzalez Gomez L.A., Gorgi Zadeh S., Gorine G., Gorini E., Gourlay S.A., Gouskos L., Grancagnolo F., Grassellino A., Grau A., Graverini E., Gray H.M., Greco M., Grenard J.-L., Grimm O., Grojean C., Gromov V.A., Grosse-Oetringhaus J.F., Grudiev A., Grzanka K., Gu J., Guadagnoli D., Guidi V., Guiducci S., Guillermo Canton G., Gunaydin Y.O., Gupta R., Gupta R.S., Gutierrez J., Gutleber J., Guyot C., Guzey V., Gwenlan C., Haberstroh C., Hacisahinoglu B., Haerer B., Hahn K., Hahn T., Hammad A., Han C., Hance M., Hannah A., Harris P.C., Hati C., Haug S., Hauptman J., Haurylavets V., He H.-J., Hegglin A., Hegner B., Heinemann K., Heinemeyer S., Helsens C., Henriques A., Hernandez P., Hernandez-Pinto R.J., Hernandez-Sanchez J., Herzig T., Hiekkanen I., Hillert W., Hoehn T., Hofer M., Hofle W., Holdener F., Holleis S., Holzer B., Hong D.K., Honorato C.G., Hopkins S.C., Hrdinka J., Hug F., Humann B., Humer H., Hurth T., Hutton A., Iacobucci G., Ibarrola N., Iconomidou-Fayard L., Ilyina-Brunner K., Incandela J., Infantino A., Ippolito V., Ishino M., Islam R., Ita H., Ivanovs A., Iwamoto S., Iyer A., Izquierdo Bermudez S., Jadach S., Jamin D.O., Janot P., Jarry P., Jeff A., Jenny P., Jensen E., Jensen M., Jiang X., Jimenez J.M., Jones M.A., Jones O.R., Jowett J.M., Jung S., Kaabi W., Kado M., Kahle K., Kalinovskaya L., Kalinowski J., Kamenik J.F., Kannike K., Kara S.O., Karadeniz H., Karaventzas V., Karpov I., Kartal S., Karyukhin A., Kashikhin V., Katharina Behr J., Kaya U., Keintzel J., Keinz P.A., Keppel K., Kersevan R., Kershaw K., Khanpour H., Khatibi S., Khatiri Yanehsari M., Khoze V.V., Kieseler J., Kilic A., Kilpinen A., Kim Y.-K., Kim D.W., Klein U., Klein M., Kling F., Klinkenberg N., Kloppel S., Klute M., Klyukhin V.I., Knecht M., Kniehl B., Kocak F., Koeberl C., Kolano A.M., Kollegger A., Kolodziej K., Kolomiets A.A., Komppula J., Koop I., Koppenburg P., Koratzinos M., Kordiaczynska M., Korjik M., Kortner O., Kostka P., Kotlarski W., Kotnig C., Kottig T., Kotwal A.V., Kovalenko A.D., Kowalski S., Kozaczuk J., Kozlov G.A., Kozub S.S., Krainer A.M., Kramer T., Kramer M., Krammer M., Krasnov A.A., Krauss F., Kravalis K., Kretzschmar L., Kriske R.M., Kritscher H., Krkotic P., Kroha H., Kucharczyk M., Kuday S., Kuendig A., Kuhlmann G., Kulesza A., Kumar M., Kusina A., Kuttimalai S., Kuze M., Kwon T., Lackner F., Lackner M., La Francesca E., Laine M., Lamanna G., La Mendola S., Lancon E., Landsberg G., Langacker P., Lange C., Langner A., Lankford A.J., Lansberg J.P., Lari T., Laycock P.J., Lebrun P., Lechner A., Lee K., Lee S., Lee R., Lefevre T., Le Guen P., Lehtinen T., Leith S.B., Lenzi P., Leogrande E., Leonidopoulos C., Leon-Monzon I., Lerner G., Leroy O., Lesiak T., Levai P., Leveratto A., Levichev E., Li G., Li S., Li R., Liberati D., Liepe M., Lissauer D.A., Liu Z., Lobko A., Locci E., Logothetis Agaliotis E., Lombardo M.P., Long A.J., Lorin C., Losito R., Louzguiti A., Low I., Lucchesi D., Lucchini M.T., Luciani A., Lueckhof M., Lunt A.J.G., Luzum M., Lyubimtsev D.A., Maggiora M., Magnin N., Mahmoud M.A., Mahmoudi F., Maitre J., Makarenko V., Malagoli A., Malcles J., Malgeri L., Mallon P.J., Maltoni F., Malvezzi S., Malyshev O.B., Mancinelli G., Mandrik P., Manfrinetti P., Mangano M., Manil P., Mannelli M., Marchiori G., Marhauser F., Mariani V., Marinozzi V., Mariotto S., Marquard P., Marquet C., Marriott-Dodington T., Martin R., Martin O., Martin Camalich J., Martinez T., Martinez Bruzual H., Martinez-Hernandez M.I., Martins D.E., Marzani S., Marzocca D., Marzola L., Masciocchi S., Masina I., Massimiliano A., Massironi A., Masubuchi T., Matveev V.A., Mazzoni M.A., McCullough M., McIntosh P.A., Meade P., Medina L., Meier A., Meignan J., Mele B., Mendes Saraiva J.G., Menez F., Mentink M., Meoni E., Meridiani P., Merk M., Mermod P., Mertens V., Mether L., Metral E., Migliorati M., Milanese A., Milardi C., Milhano G., Militsyn B.L., Millet F., Minashvili I., Minervini J.V., Miralles L.S., Mirarchi D., Mishima S., Missiaen D.P., Mitselmakher G., Mitshuhashi T., Mnich J., Mohammadi Najafabadi M., Mohapatra R.N., Mokhov N., Molson J.G., Monge R., Montag C., Montagna G., Monteil S., Montenero G., Montesinos E., Moortgat F., Morange N., Morello G., Moreno Llacer M., Moretti M., Moretti S., Morley A.K., Moros A., Morozov I., Morretta V., Morrone M., Mostacci A., Muanza S., Muchnoi N., Muhlegger M., Mulder M., Mulders M., Muller B., Muller F., Muller A.-S., Munilla J., Murray M.J., Muttoni Y., Myers S., Mylona M., Nachtman J., Nakamoto T., Nardecchia M., Nardini G., Nason P., Nergiz Z., Nesterenko A.V., Netto J.A., Nettstrater A., Neubuser C., Neundorf J., Niccoli F., Nicrosini O., Nie Y., Niedermayer U., Niedziela J., Niemi A., Nikitin S.A., Nisati A., No J.M., Nonis M., Nosochkov Y., Novak M., Novokhatski A., O'Callaghan J.M., Ochando C., Ogur S., Ohmi K., Oide K., Okorokov V.A., Okumura Y., Oleari C., Olness F.I., Onel Y., Ortino M., Osborne J., Osland P., Otto T., Oyulmaz K.Y., Ozansoy A., Ozcan V., Ozdemir K., Pagliarone C.E., Pais da Silva H.F., Palmieri E., Palumbo L., Pampaloni A., Pan R.-Q., Panareo M., Panella O., Panico G., Panizzo G., Pankov A.A., Pantsyrny V., Papadopoulos C.G., Papaefstathiou A., Papaphilippou Y., Parker M.A., Parma V., Pasquali M., Patra S.K., Patterson R., Paukkunen H., Pauss F., Peggs S., Penttinen J.-P., Peon G., Perepelkin E.E., Perez E., Perez J.C., Perez G., Perez F., Perez Codina E., Perez Morales J., Perfilov M., Pernegger H., Peruzzi M., Pes C., Peters K., Petracca S., Petriello F., Pezzotti L., Pfeiffer S., Piccinini F., Pieloni T., Pierini M., Pikhartova H., Pikurs G., Pilicer E., Piminov P., Pira C., Pittau R., Placzek W., Plagge M., Plehn T., Pleier M.-A., Ploskon M., Podeur M., Podlech H., Podzorny T., Poggioli L., Poiron A., Polesello G., Poli Lener M., Polini A., Polinski J., Polozov S.M., Ponce L., Pont M., Pontecorvo L., Portaluri T., Potamianos K., Prasse C., Prausa M., Preinerstorfer A., Premat E., Price T., Primavera M., Prino F., Prioli M., Proudfoot J., Provino A., Pugnat T., Pukhaeva N., Pulawski S., Pulikowski D., Punzi G., Putti M., Pyarelal A., Quack H., Quispe M., Racioppi A., Rafique H., Raginel V., Raidal M., Ramirez-Uribe N.S., Ramsey-Musolf M.J., Rata R., Ratoff P., Ravotti F., Rebello Teles P., Reboud M., Redaelli S., Renner E., Renteria-Olivo A.E., Rescigno M., Reuter J., Ribon A., Ricci A.M., Riegler W., Riemann S., Riemann B., Riemann T., Rifflet J.M., Rimmer R.A., Rinaldesi R., Rinolfi L., Rios Rubiras O., Risselada T., Rivetti A., Rivkin L., Rizzo T., Robens T., Robert F., Robson A.J., Rochepault E., Roda C., Rodrigo G., Rodriguez-Cahuantzi M., Rogan C., Roig M., Rojas-Torres S., Rojo J., Rolandi G., Rolando G., Roloff P., Romanenko A., Romanov A., Roncarolo F., Rosado Sanchez A., Rosaz G., Rossi L., Rossi A., Rossmanith R., Rousset B., Royon C., Ruan X., Ruehl I., Ruhlmann-Kleider V., Ruiz R., Rumyantsev L., Ruprecht R., Ryazanov A.I., Saba A., Sadykov R., Saez de Jauregui D., Sahin M., Sailer B., Saito M., Sala F., Salam G.P., Salfeld-Nebgen J., Salgado C.A., Salini S., Sallese J.M., Salmi T., Salzburger A., Sampayo O.A., Sanfilippo S., Santiago J., Santopinto E., Santoro R., Sanz Ull A., Sarasola X., Sarpun I.H., Sauvain M., Savelyeva S., Sawada R., Sborlini G.F.R., Schaffer A., Schaumann M., Schenk M., Scheuerlein C., Schienbein I., Schlenga K., Schmickler H., Schmidt R., Schoerling D., Schoning A., Schorner-Sadenius T., Schott M., Schulte D., Schwaller P., Schwanenberger C., Schwemling P., Schwerg N., Scibile L., Sciuto A., Scomparin E., Sebastiani C., Seeber B., Segreti M., Selva P., Selvaggi M., Senatore C., Senol A., Serin L., Serluca M., Serra N., Seryi A., Sestini L., Sfyrla A., Shaposhnikov M., Shaposhnikova E., Sharkov B.Y., Shatilov D., Shelton J., Shiltsev V., Shipsey I.P., Shirkov G.D., Shivaji A., Shwartz D., Sian T., Sidorov S., Siemko A., Silvestrini L., Simand N., Simon F., Singh B.K., Siodmok A., Sirois Y., Sirtori E., Sirvinskaite R., Sitar B., Sjostrand T., Skands P., Skordis E., Skovpen K., Skrzypek M., Slade E., Slavich P., Slovak R., Smaluk V., Smirnov V., Snoeys W., Soffi L., Sollander P., Solovyanov O., Soltveit H.K., Song H., Sopicki P., Sorbi M., Spallino L., Spannowsky M., Spataro B., Sphicas P., Spiesberger H., Spiller P., Spira M., Srivastava T., Stachel J., Stakia A., Stanyard J.L., Starchenko E., Starikov A.Y., Stasto A.M., Statera M., Steerenberg R., Steggemann J., Stenvall A., Stivanello F., Stockinger D., Stoel L.S., Stoger-Pollach M., Strauss B., Stuart M., Stupakov G., Su S., Sublet A., Sugita K., Sulak L., Sullivan M.K., Sultansoy S., Sumida T., Suzuki K., Sylva G., Syphers M.J., Sznajder A., Taborelli M., Tahir N.A., Takeuchi M., Tal Hod E., Tambasco C., Tanaka J., Tang K., Tapan I., Taroni S., Tartarelli G.F., Tassielli G., Tavian L., Taylor T.M., Taylor G.N., Teixeira A.M., Tejeda-Munoz G., Telnov V.I., Tenchini R., ten Kate H.H.J., Terashi K., Tesi A., Testa M., Tetrel C., Teytelman D., Thaler J., Thamm A., Thomas S., Tiirakari M.T., Tikhomirov V., Tikhonov D., Timko H., Tisserand V., Tkachenko L.M., Tkaczuk J., Tock J.P., Todd B., Todesco E., Tomas Garcia R., Tommasini D., Tonelli G., Toral F., Torims T., Torre R., Townsend Z., Trant R., Treille D., Trentadue L., Tricoli A., Tricomi A., Trischuk W., Tropin I.S., Tuchming B., Tudora A.A., Turbiarz B., Turk Cakir I., Turri M., Tydecks T., Usovitsch J., Uythoven J., Vaglio R., Valassi A., Valchkova F., Valdivia Garcia M.A., Valente P., Valente R.U., Valente-Feliciano A.-M., Valentino G., Vale Silva L., Valet J.M., Valizadeh R., Valle J.W.F., Vallecorsa S., Vallone G., van Leeuwen M., van Rienen U.H., van Riesen-Haupt L., Varasteh M., Vecchi L., Vedrine P., Velev G., Veness R., Ventura A., Venturini Delsolaro W., Verducci M., Verhaaren C.B., Vernieri C., Verweij A.P., Verwilligen O., Viazlo O., Vicini A., Viehhauser G., Vignaroli N., Vignolo M., Vitrano A., Vivarelli I., Vlachos S., Vogel M., Vogt D.M., Volkl V., Volkov P., Volpini G., von Ahnen J., Vorotnikov G., Voutsinas G.G., Vysotsky V., Wagner U., Wallny R., Wang L.-T., Wang R., Wang K., Ward B.F.L., Watson T.P., Watson N.K., Ws Z., Weiland C., Weinzierl S., Welsch C.P., Wenninger J., Widorski M., Wiedemann U.A., Wienands H.-U., Wilkinson G., Williams P.H., Winter A., Wohlfahrt A., Wojton T., Wollmann D., Womersley J., Woog D., Wu X., Wulzer A., Yanehsari M.K., Yang G., Yang H.J., Yao W.-M., Yazgan E., Yermolchik V., Yilmaz A., Yoo H.-D., Yost S.A., You T., Young C., Yu T.-T., Yu F., Zaborowska A., Zadeh S.G., Zahnd M., Zanetti M., Zanotto L., Zawiejski L., Zeiler P., Zerlauth M., Zernov S.M., Zevi Dell Porta G., Zhang Z., Zhang Y., Zhang C., Zhang H., Zhao Z., Zhong Y.-M., Zhou J., Zhou D., Zhuang P., Zick G., Zimmermann F., Zinn-Justin J., Zivkovic L., Zlobin A.V., Zobov M., Zupan J., Zurita J., BAİBÜ, Fen Edebiyat Fakültesi, Fizik Bölümü, Denizli, Haluk, TOBB ETU, Faculty of Engineering, Department of Electrical & Electronics Engineering, TOBB ETU, Faculty of Engineering, Department of Material Science & Nanotechnology Engineering, TOBB ETÜ, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü, TOBB ETÜ, Mühendislik Fakültesi, Malzeme Bilimi ve Nanoteknoloji Mühendisliği Bölümü, Bozbey, Ali, Sultansoy, Saleh, Özdemir, Kadri, Giresun Üniversitesi, UCL - SST/IRMP - Institut de recherche en mathématique et physique, and Ege Üniversitesi

Subjects
Beam losses, IMPACT, Physics::Instrumentation and Detectors, Physics beyond the Standard Model, EVENT BUILDER, hadron collider, General Physics and Astronomy, Mathematics and natural science: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP], 01 natural sciences, 7. Clean energy, law.invention, Subatomär fysik, chemistry.chemical_compound, Conceptual design, Colliding beam accelerators, law, HE-LHC, Subatomic Physics, General Materials Science, Hadron colliders, Física::Física de partícules::Hadrons [Àrees temàtiques de la UPC], Large Hadron Collider, Acceleradors de partícules, Physics, Settore FIS/01 - Fisica Sperimentale, Beams (radiation), Settore FIS/02 - Fisica Teorica, Modelli e Metodi Matematici, Upgrade, Impact, collimators, partikkelfysikk, Future Circular Collider, High-Energy, Systems engineering, HE-LHC: The High-Energy Large Hadron Collider, Col·lisionadors d'hadrons, Applied physics, Collimators, Socio-culturale, Fizik, Hadrons, Accelerator Physics and Instrumentation, HE-LHC physics, Condensed Matter::Materials Science, 0103 physical sciences, Physics::Atomic and Molecular Clusters, beam losses, ddc:530, High Energy Physics, partikkelakselerator, Physical and Theoretical Chemistry, Niobium-tin, 010306 general physics, Collider, Particle Physics, Beams (radiation) | Collimators | Beam losses, Energies::Energia nuclear [Àrees temàtiques de la UPC], Large Hadron Collider HE-LHC, 010308 nuclear & particles physics, High Energy Physics::Phenomenology, Colliders (Nuclear physics), Acceleratorfysik och instrumentering, Event builder, Accelerators and Storage Rings, Particle accelerators, chemistry, Experimental High Energy Physics, Physics::Accelerator Physics, High Energy Physics::Experiment, Future Colliders
Abstract

Authors: A. AbadaM. AbbresciaS. S. AbdusSalamI. AbdyukhanovJ. Abelleira FernandezA. AbramovM. AburaiaA. O. AcarP. R. AdzicP. AgrawalJ. A. Aguilar-SaavedraJ. J. Aguilera-VerdugoM. AibaI. AichingerG. AielliA. AkayA. AkhundovH. AksakalJ. L. AlbaceteS. AlbergoA. AlekouM. AleksaR. AleksanR. M. Alemany FernandezY. AlexahinR. G. AlíaS. AlioliN. Alipour TehraniB. C. AllanachP. P. AllportM. AltınlıW. AltmannshoferG. AmbrosioD. AmorimO. AmstutzL. AnderliniA. AndreazzaM. AndreiniA. AndriatisC. AndrisA. AndronicM. AngelucciF. AntinoriS. A. AntipovM. AntonelliM. AntonelloP. AntonioliS. AntuschF. AnulliL. ApolinárioG. ApollinariA. ApollonioD. AppelöR. B. ApplebyA. ApyanA. ApyanA. ArbeyA. ArbuzovG. ArduiniV. ArıS. AriasN. ArmestoR. ArnaldiS. A. ArsenyevM. ArzeoS. AsaiE. AslanidesR. W. AßmannD. AstapovychM. AtanasovS. AtiehD. AttiéB. AuchmannA. AudurierS. AullS. AumonS. AuneF. AvinoG. AvrillaudG. AydınA. AzatovG. AzuelosP. AzziO. AzzoliniP. AzzurriN. BacchettaE. BacchiocchiH. BachacouY. W. BaekV. BaglinY. BaiS. BairdM. J. BakerM. J. BaldwinA. H. BallA. BallarinoS. BanerjeeD. P. BarberD. BarducciP. BarjhouxD. BarnaG. G. BarnaföldiM. J. BarnesA. BarrJ. Barranco GarcíaJ. Barreiro Guimarães da CostaW. BartmannV. BaryshevskyE. BarziS. A. BassA. BastianinB. BaudouyF. BauerM. BauerT. BaumgartnerI. Bautista-GuzmánC. BayındırF. BeaudetteF. BedeschiM. BéguinI. BellafontL. BellagambaN. BellegardeE. BelliE. BellingeriF. BelliniG. BellomoS. BelomestnykhG. BencivenniM. BenediktG. BernardiJ. BernardiC. BernetJ. M. BernhardtC. BerniniC. BerriaudA. BertarelliS. BertolucciM. I. BesanaM. BesançonO. BeznosovP. BhatC. BhatM. E. BiaginiJ. -L. BiarrotteA. Bibet ChevalierE. R. BielertM. BigliettiG. M. BileiB. BilkiC. BiscariF. BisharaO. R. Blanco-GarcíaF. R. BlánquezF. BlekmanA. BlondelJ. BlümleinT. BoccaliR. BoelsS. A. BogaczA. BogomyagkovO. Boine-FrankenheimM. J. BolandS. BolognaO. BolukbasiM. BombenS. BondarenkoM. BonviniE. BoosB. BordiniF. BordryG. BorghelloL. BorgonoviS. BorowkaD. BortolettoD. BoscheriniM. BoscoloS. BoselliR. R. BosleyF. BossuC. BottaL. BotturaR. BoughezalD. BoutinG. BovoneI. Božović JelisavićA. BozbeyC. BozziD. BozziniV. BracciniS. Braibant-GiacomelliJ. BramanteP. Braun-MunzingerJ. A. BriffaD. BritzgerS. J. BrodskyJ. J. BrookeR. BruceP. Brückman De RenstromE. BrunaO. BrüningO. BrunnerK. BrunnerP. BruzzoneX. BuffatE. BulyakF. BurkartH. BurkhardtJ. -P. BurnetF. ButinD. ButtazzoA. ButterworthM. CacciaY. CaiB. CaiffiV. CairoO. CakirR. CalagaS. CalatroniG. CalderiniG. CalderolaA. CaliskanD. CalvetM. CalvianiJ. M. CamalichP. CamarriM. CampanelliT. CamporesiA. C. CanbayA. CanepaE. CantergianiD. Cantore-CavalliM. CapeansR. CardarelliU. CardellaA. CardiniC. M. Carloni CalameF. CarraS. CarraA. CarvalhoS. CasalbuoniJ. CasasM. CascellaP. CastelnovoG. CastorinaG. CatalanoV. CavasinniE. CazzatoE. CenniniA. CerriF. CeruttiJ. CervantesI. ChaikovskaJ. ChakraborttyM. ChalaM. Chamizo-LlatasH. ChanalD. ChanalS. ChanceA. ChancéP. CharitosJ. CharlesT. K. CharlesS. 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DelmastroE. De LuciaM. DemarteauD. DenegriL. DeniauD. DenisovH. DenizliA. DennerD. d’EnterriaG. de RijkA. De RoeckF. DerueO. DeschampsS. Descotes-GenonP. S. B. DevJ. B. de Vivie de RégieR. K. DewanjeeA. Di CiaccioA. Di CiccoB. M. DillonB. Di MiccoP. Di NezzaS. Di VitaA. DoblhammerA. DominjonM. D’OnofrioF. DordeiA. DragoP. DraperZ. DrasalM. DrewesL. DuarteI. DubovykP. DudaA. DudarevL. DudkoD. DuellmannM. DünserT. du PreeM. DuranteH. Duran YildizS. DuttaF. DuvalJ. M. DuvalY. DydyshkaB. DziewitS. EisenhardtM. EistererT. EkelofD. El KhechenS. A. EllisJ. EllisJ. A. EllisonK. ElsenerM. ElsingY. EnariC. EnglertH. ErikssonK. J. EskolaL. S. EspositoO. EtiskenE. EtzionP. FabbricatoreA. FalkowskiA. FalouJ. FaltovaJ. FanL. FanòA. FarillaR. FarinelliS. FarinonD. A. FaroughyS. D. FartoukhA. Faus-GolfeW. J. FawcettG. FeliciL. FelsbergerC. FerdeghiniA. M. Fernandez NavarroA. Fernández-TéllezJ. Ferradas TroitinoG. FerraraR. FerrariL. FerreiraP. Ferreira da SilvaG. FerreraF. FerroM. FiascarisS. FiorendiC. FiorioO. FischerE. FischerW. FliegerM. FlorioD. FonnesuE. FontanesiN. FoppianiK. ForazD. Forkel-WirthS. ForteM. FouaidyD. FournierT. FowlerJ. FoxP. FrancavillaR. FranceschiniS. FranchinoE. FrancoA. FreitasB. FuksK. FurukawaS. V. FurusethE. GabrielliA. GaddiM. GalantiE. GalloS. GanjourJ. GaoJ. GaoV. Garcia DiazM. García PérezL. García TabarésC. GarionM. V. GarzelliI. GarziaS. M. Gascon-ShotkinG. GaudioP. GayS. -F. GeT. GehrmannM. H. GenestR. GerardF. GerigkH. GerwigP. GiacomelliS. GiaguE. Gianfelice-WendtF. GianottiF. GiffoniS. S. GilardoniM. Gil CostaM. GiovannettiM. GiovannozziP. GiubellinoG. F. GiudiceA. GiuntaL. K. GladilinS. GlukhovJ. GluzaG. GobbiB. GoddardF. GoertzT. GollingV. P. GoncalvesR. GonçaloL. A. Gonzalez GomezS. Gorgi ZadehG. GorineE. GoriniS. A. GourlayL. GouskosF. GrancagnoloA. GrassellinoA. GrauE. GraveriniH. M. GrayMa. GrecoMi. GrecoJ. -L. GrenardO. GrimmC. GrojeanV. A. GromovJ. F. Grosse-OetringhausA. GrudievK. GrzankaJ. GuD. GuadagnoliV. GuidiS. GuiducciG. Guillermo CantonY. O. GünaydinR. GuptaR. S. GuptaJ. GutierrezJ. GutleberC. GuyotV. GuzeyC. GwenlanC. HaberstrohB. HacışahinoğluB. HaererK. HahnT. HahnA. HammadC. HanM. HanceA. HannahP. C. HarrisC. HatiS. HaugJ. HauptmanV. HaurylavetsH. -J. HeA. HegglinB. HegnerK. HeinemannS. HeinemeyerC. HelsensA. HenriquesA. HenriquesP. HernandezR. J. Hernández-PintoJ. Hernandez-SanchezT. HerzigI. HiekkanenW. HillertT. HoehnM. HoferW. HöfleF. HoldenerS. HolleisB. HolzerD. K. HongC. G. HonoratoS. C. HopkinsJ. HrdinkaF. HugB. HumannH. HumerT. HurthA. HuttonG. IacobucciN. IbarrolaL. Iconomidou-FayardK. Ilyina-BrunnerJ. IncandelaA. InfantinoV. IppolitoM. IshinoR. IslamH. ItaA. IvanovsS. IwamotoA. IyerS. Izquierdo BermudezS. JadachD. O. JaminP. JanotP. JarryA. JeffP. JennyE. JensenM. JensenX. JiangJ. M. JiménezM. A. JonesO. R. JonesJ. M. JowettS. JungW. KaabiM. KadoK. KahleL. KalinovskayaJ. KalinowskiJ. F. KamenikK. KannikeS. O. KaraH. KaradenizV. KaraventzasI. KarpovS. KartalA. KaryukhinV. 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LehtinenS. B. LeithP. LenziE. LeograndeC. LeonidopoulosI. Leon-MonzonG. LernerO. LeroyT. LesiakP. LévaiA. LeverattoE. LevichevG. LiS. LiR. LiD. LiberatiM. LiepeD. A. LissauerZ. LiuA. LobkoE. LocciE. Logothetis AgaliotisM. P. LombardoA. J. LongC. LorinR. LositoA. LouzguitiI. LowD. LucchesiM. T. LucchiniA. LucianiM. LueckhofA. J. G. LuntM. LuzumD. A. LyubimtsevM. MaggioraN. MagninM. A. MahmoudF. MahmoudiJ. MaitreV. MakarenkoA. MalagoliJ. MalclésL. MalgeriP. J. MallonF. MaltoniS. MalvezziO. B. MalyshevG. MancinelliP. MandrikP. ManfrinettiM. ManganoP. ManilM. MannelliG. MarchioriF. MarhauserV. MarianiV. MarinozziS. MariottoP. MarquardC. MarquetT. Marriott-DodingtonR. MartinO. MartinJ. Martin CamalichT. MartinezH. Martinez BruzualM. I. Martínez-HernándezD. E. MartinsS. MarzaniD. MarzoccaL. MarzolaS. MasciocchiI. MasinaA. MassimilianoA. MassironiT. MasubuchiV. A. MatveevM. A. MazzoniM. McCulloughP. A. McIntoshP. MeadeL. MedinaA. MeierJ. MeignanB. MeleJ. G. Mendes SaraivaF. MenezM. MentinkE. 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ZimmermannEmail authorJ. Zinn-JustinL. ZivkovicA. V. ZlobinM. ZobovJ. ZupanJ. Zuritathe FCC Collaboration, In response to the 2013 Update of the European Strategy for Particle Physics (EPPSU), the Future Circular Collider (FCC) study was launched as a world-wide international collaboration hosted by CERN. The FCC study covered an energy-frontier hadron collider (FCC-hh), a highest-luminosity high-energy lepton collider (FCC-ee), the corresponding 100km tunnel infrastructure, as well as the physics opportunities of these two colliders, and a high-energy LHC, based on FCC-hh technology. This document constitutes the fourth volume of the FCC Conceptual Design Report, devoted to the High-Energy Large Hadron Collider HE-LHC. It summarizes the HE-LHC physics discovery opportunities, presents the HE-LHC accelerator design, performance reach, and operation plan, discusses the underlying technologies, the civil engineering and technical infrastructure, and also sketches a possible implementation. Combining ingredients from the Large Hadron Collider (LHC), the high-luminosity LHC upgrade and adding novel technologies and approaches, the HE-LHC design aims at a hadron collider with about twice the centre-of-mass collision energy that the LHC can reach. Its performance aims at exploring physics beyond the Standard Model, signi cantly extending the LHC's direct and indirect sensitivity to new physics and discoveries.

Published
2020
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17. Efficient Measurement of the Vibrational Rogue Waves by Compressive Sampling Based Wavelet Analysis

Author

Cihan Bayindir

Subjects
Physics, symbols.namesake, Nonlinear system, Wavelet, Fourier transform, Fourier analysis, Wave packet, Acoustics, symbols, Wavenumber, Rogue wave, Nonlinear Sciences::Pattern Formation and Solitons, Nonlinear Schrödinger equation
Abstract

Nonlinear rogue waves appear as a result of spectral stochastic supercontinuum generation in nonlinear dynamical models, such as the nonlinear Schrodinger equation (NLSE). They are observed in the fields including but are not limited to fluid mechanics and optics. Rogue wave phenomena can also be observed in solid mechanics, where the envelope of a surface vibrational wave packet of an Euler–Bernoulli beam or Kirchhoff–Love plate can be modeled in the frame of the NLSE. Their efficient measurement and early detection is important to analyze critical displacements, stresses, and resonance. One of the possible techniques for their measurement and detection is to measure the triangular wavenumber (Fourier) spectra that become evident at the early stages of their development. One can treat such a spectra as a sparse signal due to energy located at the few central modes. Therefore compressive sensing can be used as an efficient tool for the measurement and prediction of vibrational rogue waves. However, Fourier analysis can only detect whether a vibrational rogue wave will develop or not in the vibrating medium. In order to locate its occurrence location, wavelet analysis deems necessary if a spectral analysis approach is utilized. In this paper, we discuss the possible usage of the compressive sampling based wavelet analysis for the efficient measurement and for the early detection of one-dimensional (1D) vibrational rogue waves. We study the construction of the triangular (V-shaped) wavelet spectra using compressive samples of rogue waves that can be modeled as Peregrine and Akhmediev–Peregrine solitons. We show that triangular wavelet spectra can be acquired by compressive sampling at the early stages of the emerging vibrational rogue waves. Our results may lead to development of the efficient vibrational rogue wave measurement and early sensing systems with reduced memory requirements which use the compressive sampling algorithms. In typical solid mechanics applications, compressed measurements can be acquired by randomly positioning single sensor and multi-sensors.

Published
2020
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18. Assessment and Enhancement of SAR Noncoherent Change Detection of Sea-Surface Oil Spills

Author

Cihan Bayindir, J. David Frost, Christopher F. Barnes, Işık Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü, Işık University, Faculty of Engineering, Department of Civil Engineering, and Bayındır, Cihan

Subjects
Synthetic aperture radar, Correlation coefficient, Errors, Temporal image sequences, 0507 social and economic geography, Ocean Engineering, Marine pollution, Change detection (CD), 01 natural sciences, Remote sensing of ocean, Synthetic aperture radar (SAR) imaging, Remote sensing techniques, Remote sensing of oceans, Electrical and Electronic Engineering, skin and connective tissue diseases, Statistic, 0105 earth and related environmental sciences, Remote sensing, Radar, 010505 oceanography, Mechanical Engineering, 05 social sciences, Oil spill, Probabilistic logic, Oil spills, Change detection algorithms, Radar imaging, Identification (information), Probability of false alarm, Change detection, Environmental science, sense organs, False alarm, 050703 geography, Signal detection
Abstract

Oil spills are one of the most dangerous catastrophes that threaten the oceans. Therefore, detecting and monitoring oil spills by means of remote sensing techniques that provide large-scale assessments is of critical importance to predict, prevent, and clean oil contamination. In this study, the detection of an oil spill using synthetic aperture radar (SAR) imagery is considered. Detection of the oil spill is performed using change detection algorithms between imagery acquired at different times. The specific algorithms used are the correlation coefficient change statistic and the intensity ratio change statistic algorithms. These algorithms and the probabilistic selection of threshold criteria are reviewed and discussed. A recently offered change detection method that depends on generating change maps of two images in a temporal sequence is used. An initial change map is obtained by cumulatively adding sequences in such a manner that common change areas are excluded and uncommon change areas are included. A final change map is obtained by comparing the first and the last images in the temporal sequence. This method requires at least three images to be employed and can be generalized to longer temporal image sequences. The purpose of this approach is to provide a double-check mechanism to the conventional approach and, thus, reduce the probability of false alarm while enhancing change detection. The algorithms are tested on 2010 Gulf of Mexico oil spill imagery. It is shown that the intensity ratio change statistic is a better tool for identification of the changes due to the oil spill compared to the correlation coefficient change statistic. It is also shown that the proposed method can reduce the probability of false alarm. Publisher's Version

Published
2018
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19. The solution of the long-wave equation for various nonlinear depth and breadth profiles in the power-law form

Author

Sofi Farazande and Cihan Bayindir

Subjects
Atmospheric Science, Series (mathematics), Mathematical analysis, Geology, Oceanography, Wave equation, Resonance (particle physics), Power law, symbols.namesake, Nonlinear system, Seawall, symbols, Computers in Earth Sciences, Envelope (mathematics), Bessel function
Abstract

Long waves bring many important challenges in the ocean and coastal engineering, including but are not limited to harbor resonance and run-up. Therefore, understanding and modeling their dynamics is crucially important. Although their dynamics over various types of geometries are well-studied in the literature, the study of the geometries with power-law variations remains an open problem in this setting. With this motivation, in this paper, we derive the exact analytical solutions of the long-wave equation over nonlinear depth and breadth profiles having power-law forms given by h ( x ) = c 1 x a and b ( x ) = c 2 x c , where the parameters c 1 , c 2 , a , c are some constants. We show that for these types of power-law forms of depth and breadth profiles, the long-wave equation admits solutions in terms of Bessel functions and Cauchy–Euler series. We also derive the seiching periods and resonance conditions for these forms of depth and breadth variations. Our results can be used to investigate the long-wave dynamics and their envelope characteristics over equilibrium beach profiles, the effects of nonlinear harbor entrances and angled nonlinear seawall breadth variations in the power-law forms on these dynamics, and the effects of reconstruction, geomorphological changes, sedimentation, and dredging to harbor resonance, to the shift in resonance periods and to the seiching characteristics in lakes and barrages.

Published
2021
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20. Efficient sensing of von Kármán vortices using compressive sensing

Author

Cihan Bayindir and Baris Namli

Subjects
Physics, General Computer Science, Mathematical analysis, General Engineering, Sampling (statistics), Aerodynamics, Ellipse, 01 natural sciences, Flow measurement, 010305 fluids & plasmas, Vortex, Physics::Fluid Dynamics, 010101 applied mathematics, Lift (force), Flow (mathematics), Drag, 0103 physical sciences, 0101 mathematics
Abstract

In this paper, we discuss the usage and implementation of the compressive sensing (CS) for the efficient measurement and analysis of the von Karman vortices. We consider two different flow fields, the flow fields around a circle and an ellipse. We solve the governing k − ϵ transport equations numerically in order to model the flow fields around these bodies. Using the time series of the drag, C D , and the lift, C L , coefficients, and their Fourier spectra, we show that compressive sampling can be effectively used to measure and analyze Von Karman vortices. We discuss the effects of the number of samples on reconstruction and the benefits of using compressive sampling over the classical Shannon sampling in the flow measurement and analysis where Von Karman vortices are present. We comment on our findings and indicate their possible usage areas and extensions. Our results can find many important applications including but are not limited to measure, control, and analyze vibrations around coastal and offshore structures, bridges, aerodynamics, and Bose-Einstein condensation, just to name a few.

Published
2021
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21. Rogue Heat and Diffusion Waves

Author

Cihan Bayindir

Subjects
Physics, Consolidation (soil), Turbulence, General Mathematics, Applied Mathematics, Mathematical finance, Fluid Dynamics (physics.flu-dyn), General Physics and Astronomy, FOS: Physical sciences, Statistical and Nonlinear Physics, Mechanics, Pattern Formation and Solitons (nlin.PS), Physics - Fluid Dynamics, Instability, Nonlinear Sciences - Pattern Formation and Solitons, Nonlinear system, Pore water pressure, Rogue wave, Terzaghi's principle
Abstract

In this paper, we numerically show and discuss the existence and characteristics of rogue heat and diffusion waves. More specifically, we use two different nonlinear heat (diffusion) models and show that modulation instability leads to the generation of unexpected and large fluctuations in the frame of these models. These fluctuations can be named as rogue heat (diffusion) waves. We discuss the properties and statistics of such rogue waves. Our results can find many important applications in many branches such as the nonlinear heat transfer, turbulence, financial mathematics, chemical or biological diffusion, nuclear reactions, subsurface water infiltration, and pore water pressure diffusion modeled in the frame of nonlinear Terzaghi consolidation models, just to name a few.

Published
2019

22. Rogue Quantum Harmonic Oscillations

Author

Cihan Bayindir

Subjects
nlin.PS, Statistics and Probability, FOS: Physical sciences, Pattern Formation and Solitons (nlin.PS), 01 natural sciences, 010305 fluids & plasmas, Standing wave, quant-ph, 0103 physical sciences, Rogue wave, 010306 general physics, Nonlinear Sciences::Pattern Formation and Solitons, Quantum, General Theoretical Physics, Condensed Matter::Quantum Gases, Physics, Quantum Physics, Oscillation, Condensed Matter Physics, Nonlinear Sciences - Pattern Formation and Solitons, Gross–Pitaevskii equation, Nonlinear system, Amplitude, Quantum harmonic oscillator, Quantum electrodynamics, Quantum Physics (quant-ph), Nonlinear Systems
Abstract

We show the existence and investigate the dynamics and statistics of rogue oscillations (standing waves) generated in the frame of the nonlinear quantum harmonic oscillator (NQHO). With this motivation, in this paper, we develop a split-step Fourier scheme for the computational analysis of NQHO. We show that modulation instability excites the generation of rogue oscillations in the frame of the NQHO. We also discuss the effects of various parameters such as the strength of trapping well potential, nonlinearity, dissipation, fundamental wave number and perturbation amplitude on rogue oscillation formation probabilities. We show the existence and investigate the dynamics and statistics of rogue oscillations (standing waves) generated in the frame of the nonlinear quantum harmonic oscillator (NQHO), also known as the Gross–Pitaevskii equation (GPE). With this motivation, in this paper we develop a split-step Fourier scheme for the computational analysis of NQHO. We show that modulation instability excites the generation of rogue oscillations in the frame of the NQHO. We also discuss the effects of various parameters such as the strength of trapping well potential, nonlinearity, dissipation, fundamental wave number and perturbation amplitude on rogue oscillation formation probabilities. We show the existence and investigate the dynamics and statistics of rogue oscillations (standing waves) generated in the frame of the nonlinear quantum harmonic oscillator (NQHO). With this motivation, in this paper, we develop a split-step Fourier scheme for the computational analysis of NQHO. We show that modulation instability excites the generation of rogue oscillations in the frame of the NQHO. We also discuss the effects of various parameters such as the strength of trapping well potential, nonlinearity, dissipation, fundamental wave number and perturbation amplitude on rogue oscillation formation probabilities.

Published
2019

23. Self-localized solitons of the nonlinear wave blocking problem

Author

Cihan Bayindir

Subjects
Physics, Atmospheric Science, Current (mathematics), 010504 meteorology & atmospheric sciences, 010505 oceanography, Sinusoidal current, Mathematical analysis, Geology, Oceanography, Blocking (statistics), 01 natural sciences, Renormalization, Nonlinear system, symbols.namesake, Integrator, symbols, Computers in Earth Sciences, Constant (mathematics), Nonlinear Sciences::Pattern Formation and Solitons, Nonlinear Schrödinger equation, 0105 earth and related environmental sciences
Abstract

In this paper, we propose a numerical framework to study the shapes, dynamics, and stabilities of the self-localized solutions of the nonlinear wave blocking problem. To our best knowledge, blocking of the solitons in the marine environment has not been studied before in the existing literature. With this motivation, we use the nonlinear Schrodinger equation (NLSE) derived by Smith as a model for the nonlinear wave blocking. We propose a spectral renormalization method (SRM) to find the self-localized solitons of this model. We show that for constant, linearly varying or sinusoidal current gradient, i.e. d U ∕ d x , the self-localized solitons of the Smith’s NLSE do exist. Additionally, we propose a spectral scheme with a 4th order Runge–Kutta time integrator to study the temporal dynamics and stabilities of such solitons. We observe that self-localized solitons are stable for the cases of constant or linearly varying current gradient however, they are unstable for sinusoidal current gradient, at least for the selected parameters. We comment on our findings and discuss the importance and applicability of the proposed approach.

Published
2021
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24. Zeno dynamics of quantum chirps

Author

Cihan Bayindir

Subjects
nlin.PS, Physics, Quantum Physics, Dynamics (mechanics), FOS: Physical sciences, Physics::Optics, General Physics and Astronomy, Jamming, Pattern Formation and Solitons (nlin.PS), Nonlinear Sciences - Pattern Formation and Solitons, Signal, symbols.namesake, quant-ph, symbols, Chirp, Quantum radar, Physics::Atomic Physics, Statistical physics, Quantum Physics (quant-ph), Zeno's paradoxes, Nonlinear Sciences::Pattern Formation and Solitons, Nonlinear Schrödinger equation, Quantum, Nonlinear Systems, General Theoretical Physics
Abstract

We investigate the Zeno dynamics of quantum chirps. More specifically, we analyze the Zeno dynamics of a chirped solitary wave solution of the non-dimensional nonlinear Schrödinger equation (NLSE) with a gain/loss term. We show that the motion of the quantum chirp can be inhibited by frequent measurements in the observation domain. In order to assess the effect of Zeno dynamics on the quantum chirp imaging resolution, we analyze and compare its point spread functions (PSF) under free evolution and under Zeno dynamics. Additionally, we investigate the effect of observation frequency on the quantum chirp profile as well as on its probability of lingering in the observation domain. Our results can be immediately used to investigate the signal properties of quantum chirps and their possible jamming properties by Zeno dynamics in quantum radar technology. Additionally, many potential applications in atomic physics and optics including nonlinear phenomena and chirps can be investigated using the approach presented in our paper. We investigate the Zeno dynamics of quantum chirps. More specifically, we analyze the Zeno dynamics of a chirped solitary wave solution of the non-dimensional nonlinear Schr\"odinger equation (NLSE) with a gain/loss term. We show that the motion of the quantum chirp can be inhibited by frequent measurements in the observation domain. In order to assess the effect of Zeno dynamics on the quantum chirp imaging resolution, we analyze and compare its point spread functions (PSF) under free evolution and under Zeno dynamics. Additionally, we investigate the effect of observation frequency on the quantum chirp profile as well as on its probability of lingering in the observation domain. Our results can be immediately used to investigate the signal properties of quantum chirps and their possible jamming properties by Zeno dynamics in quantum radar technology. Additionally, many potential applications in atomic physics and optics including nonlinear phenomena and chirps can be investigated using the approach presented in our paper.

Published
2021
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25. Early detection of rogue waves by the wavelet transforms

Author

Cihan Bayindir, Işık Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü, Işık University, Faculty of Engineering, Department of Civil Engineering, and Bayındır, Cihan

Subjects
Acoustics, Chaotic, FOS: Physical sciences, General Physics and Astronomy, Early detection, Fourier spectrum, 01 natural sciences, 010305 fluids & plasmas, Physics::Fluid Dynamics, Early detection of rogue waves, symbols.namesake, Optics, Wavelet, 0103 physical sciences, Nonlinear Schrödinger equation, Rogue wave, 010306 general physics, Nonlinear Sciences::Pattern Formation and Solitons, Physics, business.industry, Fluid Dynamics (physics.flu-dyn), Wavelet transform, Physics - Fluid Dynamics, Nonlinear Sciences::Exactly Solvable and Integrable Systems, Fourier transform, symbols, business
Abstract

We discuss the possible advantages of using the wavelet transform over the Fourier transform for the early detection of rogue waves. We show that the triangular wavelet spectra of the rogue waves can be detected at early stages of the development of rogue waves in a chaotic wave field. Compared to the Fourier spectra, the wavelet spectra are capable of detecting not only the emergence of a rogue wave but also its possible spatial (or temporal) location. Due to this fact, wavelet transform is also capable of predicting the characteristic distances between successive rogue waves. Therefore multiple simultaneous breaking of the successive rogue waves on ships or on the offshore structures can be predicted and avoided by smart designs and operations. Publisher's Version Author Post Print

Published
2016
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26. Freezing optical rogue waves by Zeno dynamics

Author

Cihan Bayindir, Fatih Ozaydin, Işık Üniversitesi, Fen Edebiyat Fakültesi, Enformasyon Teknolojileri Bölümü, Işık University, Faculty of Arts and Sciences, Department of Information Technologies, Bayındır, Cihan, and Özaydın, Fatih

Subjects
Nonlinear optics, Effects, Breather, Atomic Physics (physics.atom-ph), Dinger equation, Observation frequencies, Physics::Optics, Pattern Formation and Solitons (nlin.PS), 01 natural sciences, Solitons, 010305 fluids & plasmas, Physics - Atomic Physics, Soliton solutions, Quantum optics, Physics, Quantum Physics, Rogue waves, Optical rogue waves, Nonlinear equations, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Dynamics, Fibers, Gravity-waves, Classical mechanics, symbols, W states, Soliton, Nonlinear analysis, Zeno's paradoxes, Physics - Optics, Generation, FOS: Physical sciences, Measurements of, Non-linear phenomena, symbols.namesake, Optics, 0103 physical sciences, Electrical and Electronic Engineering, Physical and Theoretical Chemistry, Rogue wave, 010306 general physics, Nonlinear Schrödinger equation, Nonlinear Sciences::Pattern Formation and Solitons, Modulation instability, Nonlinear schrodinger-equation, business.industry, Gravitational wave, Decay, Nonlinear Sciences - Pattern Formation and Solitons, Nonlinear Sciences::Exactly Solvable and Integrable Systems, Quantum-theory, Survival probability, business, Quantum Physics (quant-ph), Optics (physics.optics)
Abstract

We investigate the Zeno dynamics of the optical rogue waves. Considering their usage in modeling rogue wave dynamics, we analyze the Zeno dynamics of the Akhmediev breathers, Peregrine and Akhmediev-Peregrine soliton solutions of the nonlinear Schrodinger equation. We show that frequent measurements of the wave inhibits its movement in the observation domain for each of these solutions. We analyze the spectra of the rogue waves under Zeno dynamics. We also analyze the effect of observation frequency on the rogue wave profile and on the probability of lingering of the wave in the observation domain. Our results can find potential applications in optics including nonlinear phenomena. Publisher's Version

Published
2018

27. synthetic aperture radar and sonar (SAR&SAS), signal processing, phase- coded signals, nonlinear frequency modulated chirps

Author

Cihan BAYINDIR

Subjects
lcsh:V, Yapay açıklıklı radar ve sonar (SAR&SAS), evre kodlu sinyaller, Physics::Optics, lineer olmayan sıklık değişimli sinyal, sinyal işleme, lcsh:Naval Science
Abstract

In order to maintain average power levels as well as high range resolution, phasecodedsignals are used in radar and sonar signal processing. One of the most commonlyused phase-coded signals is the linear frequency modulated chirp waveform. Variousnonlinear frequency-modulated chirps are offered as alternatives to linear frequencymodulated chirp. In this paper a new nonlinear frequency modulated chirp waveform isproposed. Properties like bandwidths, point spread functions and Fourier transforms aregiven for the proposed chirp signal. Synthetic imagery for spotlight imaging geometry isreconstructed by using the polar format and Stolt format processing techniques using thelinear frequency-modulated (LFM) and proposed nonlinear frequency modulated chirp.Comparisons are presented, and it is shown that proposed waveform can improve thesonar image resolution.

Published
2015

28. Self-localized solutions of the Kundu-Eckhaus equation in nonlinear waveguides

Author

Cihan Bayindir

Subjects
010302 applied physics, Physics, Zero (complex analysis), General Physics and Astronomy, Nonlinear optics, 02 engineering and technology, Photorefractive effect, 021001 nanoscience & nanotechnology, 01 natural sciences, lcsh:QC1-999, Renormalization, Nonlinear system, symbols.namesake, Quantum mechanics, 0103 physical sciences, symbols, Soliton, 0210 nano-technology, Nonlinear Sciences::Pattern Formation and Solitons, Nonlinear Schrödinger equation, lcsh:Physics, Raman scattering
Abstract

In this paper we numerically analyze the 1D self-localized solutions of the Kundu-Eckhaus equation (KEE) in nonlinear waveguides using the spectral renormalization method (SRM) and compare our findings with those solutions of the nonlinear Schrödinger equation (NLSE). For cubic-quintic nonlinearity with Raman effect, as a benchmark problem we numerically construct single, dual and N-soliton solutions for the zero optical potential, i.e. V=0, which are analytically derived before. We show that self-localized soliton solutions of the KEE with cubic-quintic nonlinearity and Raman effect do exist, at least for a range of parameters, for the photorefractive lattices with optical potentials in the form of V=Iocos2(x). Additionally, we also show that self-localized soliton solutions of the KEE with saturable cubic-quintic nonlinearity and Raman effect do also exist for some range of parameters. However, for all of the cases considered, these self-localized solitons are found to be unstable. We compare our findings for the KEE with their NLSE analogs and discuss our results. Keywords: Nonlinear optics, Kundu-Eckhaus equation, Spectral renormalization method

Published
2019
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29. Rogue wave spectra of the Kundu-Eckhaus equation

Author

Cihan Bayindir, Işık Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü, Işık University, Faculty of Engineering, Department of Civil Engineering, and Bayındır, Cihan

Subjects
media_common.quotation_subject, Dinger equation, Spectral components, Chaotic, Physics::Optics, FOS: Physical sciences, Fourier spectra, Pattern Formation and Solitons (nlin.PS), Skew angles, 01 natural sciences, Asymmetry, Instability, Spectral line, 010305 fluids & plasmas, symbols.namesake, Optics, 0103 physical sciences, Modulation (music), Rogue wave, 010306 general physics, Nonlinear Sciences::Pattern Formation and Solitons, Nonlinear Schrödinger equation, Mathematics, media_common, Early warning, business.industry, Gravitational wave, Physics, Rogue waves, Fluid Dynamics (physics.flu-dyn), Modulation instabilities, Physics - Fluid Dynamics, Nonlinear equations, Condensed matter physics, Nonlinear Sciences - Pattern Formation and Solitons, Gravity-waves, Physics - Atmospheric and Oceanic Physics, Nonlinear Sciences::Exactly Solvable and Integrable Systems, Quantum electrodynamics, Atmospheric and Oceanic Physics (physics.ao-ph), symbols, Chaotic waves, business, Physics - Optics, Optics (physics.optics)
Abstract

PubMed ID: 27415263 In this paper we analyze the rogue wave spectra of the Kundu-Eckhaus equation (KEE). We compare our findings with their nonlinear Schrodinger equation (NLSE) analogs and show that the spectra of the individual rogue waves significantly differ from their NLSE analogs. A remarkable difference is the one-sided development of the triangular spectrum before the rogue wave becomes evident in time. Also we show that increasing the skewness of the rogue wave results in increased asymmetry in the triangular Fourier spectra. Additionally, the triangular spectra of the rogue waves of the KEE begin to develop at earlier stages of their development compared to their NLSE analogs, especially for larger skew angles. This feature may be used to enhance the early warning times of the rogue waves. However, we show that in a chaotic wave field with many spectral components the triangular spectra remain as the main attribute as a universal feature of the typical wave fields produced through modulation instability and characteristic features of the KEE's analytical rogue wave spectra may be suppressed in a realistic chaotic wave field. Publisher's Version

Published
2016
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30. Rogue waves of the Kundu-Eckhaus equation in a chaotic wave field

Author

Cihan Bayindir, Işık Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü, Işık University, Faculty of Engineering, Department of Civil Engineering, and Bayındır, Cihan

Subjects
Raman scattering, Propagation constant, Average velocity, Chaotic, FOS: Physical sciences, 01 natural sciences, 010305 fluids & plasmas, Group velocities, Quantum mechanics, Dispersion relation, Free propagation, 0103 physical sciences, Rogue wave, 010306 general physics, Nonlinear Sciences::Pattern Formation and Solitons, Probability, Physics, Mathematical analysis, Fluid Dynamics (physics.flu-dyn), Physics - Fluid Dynamics, Modulation instabilities, Nonlinear Sciences - Chaotic Dynamics, Quintic function, Physics - Atmospheric and Oceanic Physics, Nonlinear system, Plane wave solutions, Atmospheric and Oceanic Physics (physics.ao-ph), Group velocity, Statistical comparisons, Chaotic Dynamics (nlin.CD), Constant (mathematics), Dispersion relations, Physics - Optics, Optics (physics.optics)
Abstract

PubMed ID: 27078338 In this paper we study the properties of the chaotic wave fields generated in the frame of the Kundu-Eckhaus equation (KEE). Modulation instability results in a chaotic wave field which exhibits small-scale filaments with a free propagation constant, k. The average velocity of the filaments is approximately given by the average group velocity calculated from the dispersion relation for the plane-wave solution; however, direction of propagation is controlled by the beta parameter, the constant in front of the Raman-effect term. We have also calculated the probabilities of the rogue wave occurrence for various values of propagation constant k and showed that the probability of rogue wave occurrence depends on k. Additionally, we have showed that the probability of rogue wave occurrence significantly depends on the quintic and the Raman-effect nonlinear terms of the KEE. Statistical comparisons between the KEE and the cubic nonlinear Schrodinger equation have also been presented. Publisher's Version Author Post Print

Published
2016

31. The Effects of Surface Gravity Waves on High-Frequency Acoustic Propagation in Shallow Water

Author

Mohsen Badiey, Entin A. Karjadi, James T. Kirby, and Cihan Bayindir

Subjects
Waves and shallow water, Sea surface temperature, Turbulence, Scattering, Mechanical Engineering, Acoustics, Surface roughness, Acoustic model, Ocean Engineering, Electrical and Electronic Engineering, Shallow water equations, Geology, Wind speed
Abstract

A realistic 2-D time-evolving ocean surface model has been combined with an existing acoustic ray-based model to simulate the effects of sea surface roughness on acoustic wave propagation in coastal regions. Rough sea surface realizations are generated and used as sea surface boundaries in the acoustic model. An approach to achieve high resolution and accurate results while maintaining computational efficiency of a ray-based model is applied. The results are then compared against a unique set of experimental data collected in 15-m water depth in Delaware Bay. These data include simultaneous environment and acoustic propagation (1-18 kHz) measurements. Modeled arrival time-angle fluctuations compare well with data and suggest that there are physical processes which need to be included to improve the model, such as bubbles and turbulence as well as 3-D scattering effects.

Published
2012
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32. Shapes and Statistics of the Rogue Waves Generated by Chaotic Ocean Current

Author

Cihan BAYINDIR, Işık Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü, Işık University, Faculty of Engineering, Department of Civil Engineering, and Bayındır, Cihan

Subjects
Monochromatic wave, Wavecurrent interaction, Rogue waves, Dinger equation, Fluid Dynamics (physics.flu-dyn), FOS: Physical sciences, Analytical results, Physics - Fluid Dynamics, Nonlinear equations, Oceanography, Nonlinear Sciences - Chaotic Dynamics, Chaotic perturbations, Ocean currents, Physics - Atmospheric and Oceanic Physics, Nonlinear Sciences::Exactly Solvable and Integrable Systems, Governing equations, Atmospheric and Oceanic Physics (physics.ao-ph), Nonlinear Schrödinger equation, Offshore operations, Phase shift, Chaotic Dynamics (nlin.CD), Nonlinear Sciences::Pattern Formation and Solitons
Abstract

In this study we discuss the shapes and statistics of the rogue (freak) waves emerging due to wave-current interactions. With this purpose, we use a simple governing equation which is a nonlinear Schrödinger equation (NLSE) extended by R. Smith (1976). This extended NLSE accounts for the effects of current gradient on the nonlinear dynamics of the ocean surface near blocking point. Using a split-step scheme we show that the extended NLSE of Smith is unstable against random chaotic perturbation in the current profile. Therefore the monochromatic wave field with unit amplitude turns into a chaotic sea state with many peaks. By comparing the numerical and analytical results, we show that rogue waves due to perturbations in the current profile are in the form of rational rogue wave solutions of the NLSE. We also discuss the effects of magnitude of the chaotic current profile perturbations on the statistics of the rogue wave generation at the ocean surface. The extension term in Smith's extended NLSE causes phase shifts and it does not change the total energy level of the wave field. Using the methodology adopted in this study, the dynamics of rogue wave occurrence on the ocean surface due to blocking effect of currents can be studied. This enhances the safety of the offshore operations and ocean travel. Publisher's Version

Published
2015
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33. EXPERIMENTAL OPTIMIZATION OF AERODYNAMIC DRAG COEFFICIENT OF A MINIBUS MODEL WITH NON-SMOOTH SURFACE PLATE APPLICATION

Author

CIHAN BAYINDIRLI and MEHMET CELIK

Subjects
drag coefficient, wind tunnel, CAD, aerodynamic, non-smooth surface plate, Technology, Engineering (General). Civil engineering (General), TA1-2040
Abstract

In this study non-smooth surface plate application was experimentally investigated to flow control around a scaled minibus model in a wind tunnel. 1/15 scaled minibus model and non-smooth surface plate were designed in SolidWorks® Cad program and produced in 3-D printer. It was focused on decrease of drag coefficient of vehicle with non-smooth surface plate by reducing flow separation. The experimental tests carried out 4 free stream velocities between the speed of 13.90-27.40 m/s and 2.62x105-5.18x105 Reynolds numbers. In wind tunnel tests Reynolds number independence was used to ensure dynamic similarity. The blockage rate was 10.68 %. It was determined that the using of non-smooth surface plate e on the front roof area of minibus model decreased to drag coefficient by an average of 1.03%. This reduction rate can decrease fuel consumption of vehicle about 0.5% at high speeds.

Published
2023
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34. Optimizing the thermophysical properties and combustion performance of biodiesel by graphite and reduced graphene oxide nanoparticle fuel additive

Author

Cihan Bayindirli, Mehmet Celik, and Recep Zan

Subjects
Nanoparticles, Reduced graphene oxide, Graphite, Engine performance, Exhaust emissions, Engineering (General). Civil engineering (General), TA1-2040
Abstract

In this study, 50 and 75 ppm reduced graphene oxide and graphite nanoparticle additives were added to cottonseed oil methyl ester which was obtained by the trasterification method. The effects of the related nanoparticle additives on fuel properties such as viscosity, lower heating value, density and cetane number were determined, and their effects on engine performance and exhaust emissions were experimentally investigated. The superior properties of reduced graphene oxide such as superior conductivity, high reactivity and large surface area to engine performance and emissions were experimentally investigated and presented the in this paper. The results indicated that, brake thermal efficiency increased in NPs additive added fuels by 6.92 % in CGt-50, 11.89 % in CGt-75, 14.35 % in CGn-50 and 17.97 % in CGn-75 fuels, respectively compared to C0 fuel at full load. Brake specific fuel consumptions decreased by 6.92 %, 11.25 %, 13.36 and 16.28 %, respectively. At 8 Nm load, the cylinder pressures of nanoparticle added fuels increased between 1.91 % and 5.16 % compared to base fuel. It was concluded that the heat release rate increased with the increase of the NPs additive ratio. Between the rate of 2 %-5.09 % reducing were obtained in ID, 0.84 %-5.85 % in CD for CGt-75 and CGn75 fuels according to C0 fuel. Compared to C0 fuel, CO emissions decreased by 9.48 %, 11.85 %, 14.23 % and 14.99 %, consecutively, in CGt-50, CGt-75, CGn-50 and CGn-75 fuels at full load. Thanks to the nanoparticle additive, the thermophysical properties and heat transfer rate of the fuels improved and the fuel mixture was stabilized, leading to an improvement of 8.98 %, 11.79 %, 14.04 % and 15.73 % in HC emissions, respectively. The NPs additive increased the cylinder temperature by 10.59 %-17.72 %, which enhanced NOx emissions. It was also observed that smoke emissions were reduced by 8.57 %-18.09 %.

Published
2023
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35. OPTIMIZATION OF THERMOPHYSICAL PROPERTIES, COMBUSTION PERFORMANCE AND HARMFUL EXHAUST GASES OF BIODIESEL FUEL WITH NANOPARTICLE ADDITIVES

Author

MEHMET CELIK and CIHAN BAYINDIRLI

Subjects
environmental pollution, global warming, CeO2, TiO2, Co3O4, nanoparticles, fuel properties, Technology, Engineering (General). Civil engineering (General), TA1-2040
Abstract

Increasing use of diesel products causes decrease of oil reserves, global warming, increase in the world average and adverse effects on human health and the environment. Emissions from combustion in engines are directly related to the quality, properties and combustion characteristics of the fuel. Since the physical and chemical properties of the fuel affect the atomization characteristics, it is important for increasing the combustion efficiency. The most important fuel properties affecting the combustion of diesel fuel are cetane number, viscosity, density and calorific value. There are many applications in improving the chemical and physical properties of fuel. One of them is nanoparticle (NPs) additives adding in fuel. In this study, it was aimed to improve fuel properties with optimum additive ratio by adding CeO2, TiO2 and Co3O4 nanoparticle additives into biodiesel which are produced from cotton and canola oil. The effects of NPs additives in fuel properties such as viscosity, density, lower calorific value and flash points were investigated.

Published
2022

36. A note on the cylindrical solitary waves in an electron-acoustic plasma with vortex electron distribution

Author

Hilmi Demiray, Cihan Bayindir, Işık Üniversitesi, Fen Edebiyat Fakültesi, Matematik Bölümü, Işık University, Faculty of Arts and Sciences, Department of Mathematics, Işık Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü, Işık University, Faculty of Engineering, Department of Civil Engineering, Demiray, Hilmi, and Bayındır, Cihan

Subjects
Differential equations, Cylindrical Korteweg-de Vries, Perturbation techniques, Differential equation, Numerical solution, Transform, Evolution equations, Electrons, Electron, Solitons, Dispersionless equation, Long-wave approximation, Korteweg-de Vries equation, Trapped ions, Cylindrical coordinate system, Cylindrical coordinates, Propagation, Korteweg–de Vries equation, Reductive perturbation methods, Physics, Water, Nonlinear equations, Condensed Matter Physics, Control nonlinearities, Vortex, Water waves, Nonlinear system, Classical mechanics, Numerical results, De-vries equation, Soliton, Acoustic wave propagation, Electron distributions, Kdv equation, Hot electrons
Abstract

In the present work, we consider the propagation of nonlinear electron-acoustic non-planar waves in a plasma composed of a cold electron fluid, hot electrons obeying a trapped/vortex-like distribution, and stationary ions. The basic nonlinear equations of the above described plasma are re-examined in the cylindrical coordinates through the use reductive perturbation method in the long-wave approximation. The modified cylindrical Korteweg-de Vries equation with fractional power nonlinearity is obtained as the evolution equation. Due to the nature of nonlinearity, which is fractional, this evolution equation cannot be reduced to the conventional Korteweg-de Vries equation. An analytical solution to the evolution equation, by use of the method developed by Demiray [Appl. Math. Comput. 132, 643 (2002); Comput. Math. Appl. 60, 1747 (2010)] and a numerical solution by employing a spectral scheme are presented and the results are depicted in a figure. The numerical results reveal that both solutions are in good agreement. Publisher's Version

Published
2015
Full Text
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37. Petviashvili Method for the Fractional Schrödinger Equation

Author

Cihan Bayındır, Sofi Farazande, Azmi Ali Altintas, and Fatih Ozaydin

Subjects
fractional nonlinear Schrödinger equation, Petviashvili method, potential function, solitons, q-deformation, Thermodynamics, QC310.15-319, Mathematics, QA1-939, Analysis, QA299.6-433
Abstract

In this paper, we extend the Petviashvili method (PM) to the fractional nonlinear Schrödinger equation (fNLSE) for the construction and analysis of its soliton solutions. We also investigate the temporal dynamics and stabilities of the soliton solutions of the fNLSE by implementing a spectral method, in which the fractional-order spectral derivatives are computed using FFT (Fast Fourier Transform) routines, and the time integration is performed by a 4th order Runge–Kutta time-stepping algorithm. We discuss the effects of the order of the fractional derivative, α, on the properties, shapes, and temporal dynamics of the soliton solutions of the fNLSE. We also examine the interaction of those soliton solutions with zero, photorefractive and q-deformed Rosen–Morse potentials. We show that for all of these potentials, the soliton solutions of the fNLSE exhibit a splitting and spreading behavior, yet their dynamics can be altered by the different forms of the potentials and noise considered.

Published
2022
Full Text
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38. Early detection of rogue waves using compressive sampling

Author

Cihan BAYINDIR

Subjects
Rogue waves, Rogue waves,early detection,spectral analysis,compressive sensing, Early detection, Spectral analysis, Compressive sensing, Nonlinear Sciences::Pattern Formation and Solitons
Abstract

We discuss the possible usage of the compressive sampling for the early detection of the rogue waves. One of the promising techniques for the early detection of the rogue waves is to measure the triangular Fourier spectra which begin to appear at the early stages of their development. For the early detection of the rogue waves it is possible to treat such a spectrum as a sparse signal since we would mainly be interested in the high amplitude triangular region located at the central wavenumber. Therefore compressive sampling can be a very efficient tool for the rogue wave early warning systems. By employing a numerical approach we show that triangular Fourier spectra can be sensed by compressive measurements at the early stages of the development of rogue waves such as those in the form of Peregrine and Akhmediev-Peregrine solitons. Our results may lead to development of the early warning and measurement systems which use the compressive sampling thus the memory requirements for those systems can be greatly reduced. Publisher's Version

39. Compressive spectral renormalization method

Author

Cihan BAYINDIR, Işık Üniversitesi, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümü, Işık University, Faculty of Engineering, Department of Civil Engineering, and Bayındır, Cihan

Subjects
Petviashivili's method, Spectral methods, Compressive sampling, Spectral renormalization, Waves, FOS: Physical sciences, Spectral renormalization,Petviashivili's method,compressive sampling,spectral methods,nonlinear Schrodinger equation, Computational Physics (physics.comp-ph), Nonlinear Schrodinger equation, Physics - Computational Physics, Solitons, Physics - Optics, Optics (physics.optics)
Abstract

In this paper a novel numerical scheme for finding the sparse self-localized states of a nonlinear system of equations with missing spectral data is introduced. As in the Petviashivili's and the spectral renormalization method, the governing equation is transformed into Fourier domain, but the iterations are performed for far fewer number of spectral components (M) than classical versions of the these methods with higher number of spectral components (N). After the converge criteria is achieved for M components, N component signal is reconstructed from M components by using the l(1) minimization technique of the compressive sampling. This method can be named as compressive spectral renormalization (CSRM) method. The main advantage of the CSRM is that, it is capable of finding the sparse self-localized states of the evolution equation(s) with many spectral data missing. Publisher's Version

40. EFFECTS OF GROUND WATER TABLE AND GROUND INCLINATION ON TRAIN INDUCED GROUND-BORNE VIBRATIONS

Author

Cihan BAYINDIR

Subjects
Track, Train induced vibrations, Train induced vibrations,Winkler foundation,Random vibrations,Groundwater table,Ground inclination angle, Random vibrations, Harmonic load, Waves, Winkler foundation, Groundwater table, Ground inclination angle, Theoretical-model
Abstract

Passage of the train wheels induces ground-borne vibrations at the railwheel interface, where the main contribution is due to the axle loads moving on irregular track and wheel interface. These vibrations can cause problems such as the compaction and settlement of the foundation soil of the structures nearby, liquefaction of the soil or discomfort of people, just to name a few. Therefore predicting and controlling such phenomena is critically important for the design and operation of the railways. These vibrations are modeled using many different methods existing in the literature. In this paper we analyze the effects of groundwater depth and ground inclination angle on those vibrations using a random vibration model, where the elastic rail-soil system is modeled as a Winkler foundation. We examine the effects of changing fully saturated groundwater levels and changing ground inclination angles on such vibrations. We relate the groundwater depth and ground inclination angle parameters with the stiffness of the Winkler model using Terzaghi’s, Vesic’s and Bowles’s bearing capacity formulas. The common 5-axle and the 6-axle tram load configurations and different train speeds of 30 km/hr, 40 km/hr, 50 km/hr are used in our implemented model. It is shown that the decrease in groundwater depth and/or higher ground inclination angle can significantly change the peak and rms vibration velocity and acceleration levels, both for the 5-axle and 6-axle configurations and all three different train speeds. We present exponential and exponential-trigonometric fit curves to the results of the implemented random vibration model, which can be used to model the approximate changes in the ground-borne vibration velocity and acceleration levels due to different groundwater depth and different ground inclination angles. We also discuss our results and their applicability. Publisher's Version

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