29 research outputs found
Modeling of small sea floaters in the central Mediterranean Sea: seasonality of at-sea distributions
Floating marine debris represent a threat to marine and coastal ecology.
Since the Mediterranean basin is one of the highly impacted regions, both by
the coastal pollution as well as from sea traffic, the potential harm of a
floating pollution on the marine ecology could be overwhelming in this area.
Our study area covers the central Mediterranean crossing that connects the
western and eastern Mediterranean and is one of the areas impacted by a high
intensity of sea traffic. To identify regions in the central Mediterranean that
could be more exposed by high concentration of floating marine pollutants we
use Leeway model for lower windage small-size particles. We perform numerical
simulation of a large ensemble of Lagrangian particles that approximate at-sea
debris. The particles are forced by high-resolution sea kinematics from the
Copernicus Marine Environment Monitoring Service (CMEMS) and 10 m atmospheric
wind from the European Centre for Medium-Range Weather Forecasts (ECMWF) for
two reference periods in summer and winter of 2013--2016. We identify the
regions with a high accumulation of particles in terms of particle surface
densities per unit area. Although seasonal and annual variability of ocean
current and atmospheric wind is an important factor that influences
accumulation regimes across the central Mediterranean, we found that the border
of the Libyan shelf harbors larger percentage of particles after 30 days of
simulation
Analyzing intramolecular dynamics by Fast Lyapunov Indicators
International audienceWe report an analysis of intramolecular dynamics of the highly excited planar carbonyl sulfide (OCS) below and at the dissociation threshold by the Fast Lyapunov Indicator (FLI) method. By mapping out the variety of dynamical regimes in the phase space of this molecule, we obtain the degree of regularity of the system versus its energy. We combine this stability analysis with a periodic orbit search, which yields a family of elliptic periodic orbits in the regular part of phase space an a family of in-phase collinear hyperbolic orbits associated with the chaotic regime
Analysis of Multidimensional Phase Space Hamiltonian Dynamics: Methods and Applications
Diverse complex phenomena that are found in many fundamental
problems of atomic physics and chemistry can be understood in the
framework of nonlinear theory. Most of simple atomic and chemical
systems are classically described by the Hamiltonian models of
dimension three and higher. The multidimensional nature of these
problems makes widely used diagnostics of dynamics to be
impractical. We demonstrate the application of rigorous and
effective computational methods to treat multidimensional systems
in strongly perturbative regimes.
The results of a qualitative analysis of the phase space stability
structures are presented for two multidimensional non--integrable
Hamiltonian systems: highly excited planar carbonyl sulfide
molecule and hydrogen atom in elliptically polarized microwave
fields. The molecular system of the planar carbonyl sulfide and
atomic system of hydrogen in elliptically polarized microwave
fields are treated for different regimes of energies including
regimes of classical ionization of hydrogen and dissociation of
carbonyl sulfide molecule.Ph.D.Committee Chair: Turgay Uzer; Committee Member: John Wood; Committee Member: Kurt Wiesenfeld; Committee Member: M. Raymond Flannery; Committee Member: Mustafa Ara
Phase space structures and ionization dynamics of hydrogen atom in elliptically polarized microwaves
The multiphoton ionization of hydrogen atoms in a strong elliptically
polarized microwave field exhibits complex features that are not observed for
ionization in circular and linear polarized fields. Experimental data reveal
high sensitivity of ionization dynamics to the small changes of the field
polarization. The multidimensional nature of the problem makes widely used
diagnostics of dynamics, such as Poincar\'{e} surfaces of section, impractical.
We analyze the phase space dynamics using finite time stability analysis
rendered by the fast Lyapunov Indicators technique. The concept of
zero--velocity surface is used to initialize the calculations and visualize the
dynamics. Our analysis provides stability maps calculated for the initial
energy at the maximum and below the saddle of the zero-velocity surface. We
estimate qualitatively the dependence of ionization thresholds on the
parameters of the applied field, such as polarization and scaled amplitude
Modeling of Small Sea Floaters in the Central Mediterranean Sea: Seasonality of At--Sea Distributions
Floating marine debris represent a threat to marine and coastal ecology. Since the Mediterranean basin is one of the highly impacted regions, both by the coastal pollution as well as from sea traffic, the potential harm of a floating pollution on the marine ecology could be overwhelming in this area. Our study area covers the central Mediterranean crossing that connects the western and eastern Mediterranean and is one of the areas impacted by a high intensity of sea traffic. To identify regions in the central Mediterranean that could be more exposed by high concentration of floating marine pollutants we use Leeway model for lower windage small-size particles. We perform numerical simulation of a large ensemble of Lagrangian particles that approximate at-sea debris. The particles are forced by high-resolution sea kinematics from the Copernicus Marine Environment Monitoring Service (CMEMS) and 10 m atmospheric wind from the European Centre for Medium-Range Weather Forecasts (ECMWF) for two reference periods in summer and winter of 2013-2016. We identify the regions with a high accumulation of particles in terms of particle surface densities per unit area. Although seasonal and annual variability of ocean current and atmospheric wind is an important factor that influences accumulation regimes across the central Mediterranean, we found that the border of the Libyan shelf harbors larger percentage of particles after 30 days of simulation.
Effect of periodic parametric excitation on an ensemble of force-coupled self-oscillators
We report the synchronization behavior in a one-dimensional chain of
identical limit cycle oscillators coupled to a mass-spring load via a force
relation. We consider the effect of periodic parametric modulation on the final
synchronization states of the system. Two types of external parametric
excitations are investigated numerically: periodic modulation of the stiffness
of the inertial oscillator and periodic excitation of the frequency of the
self-oscillatory element. We show that the synchronization scenarios are ruled
not only by the choice of parameters of the excitation force but depend on the
initial collective state in the ensemble. We give detailed analysis of
entrainment behavior for initially homogeneous and inhomogeneous states. Among
other results, we describe a regime of partial synchronization. This regime is
characterized by the frequency of collective oscillation being entrained to the
stimulation frequency but different from the average individual oscillators
frequency.Comment: Comments and suggestions are welcom
Anticipating Recessions using Inclination Analysis
Recessions are economic downturns that can be recognized from macro-indicators such as the Dow Jones Industrial Average (DJIA) and the Federal Reserve Interest Rate (FRIR). To provide early-warning signals of recessions and similar systemic transitions, here we propose a new approach based on pattern recognition, called inclination analysis [1, 2]. For this purpose, we develop a stochastic model based on time-series analysis to assess the probability of a recession to occur at a given moment in the past, present, or future. Calibrating our model to data proceeds in three steps, involving the coarse-graining of the available input time series, the identification of short series motifs that foreshadow recessions, and the optimization of key model parameters according to the model’s desired forecasting horizon