123 research outputs found
Bayesian Machine Learning and variational inference for on-site sensor calibration in Smart Bay Santa Teresa seawater monitoring
noise and avalanche scaling in plastic deformation
We study the intermittency and noise of dislocation systems undergoing shear
deformation. Simulations of a simple two-dimensional discrete dislocation
dynamics model indicate that the deformation rate exhibits a power spectrum
scaling of the type . The noise exponent is far away from a
Lorentzian, with . This result is directly related to the
way the durations of avalanches of plastic deformation activity scale with
their size.Comment: 6 pages, 5 figures, submitted to Phys. Rev.
Helium condensation in aerogel: avalanches and disorder-induced phase transition
We present a detailed numerical study of the elementary condensation events
(avalanches) associated to the adsorption of He in silica aerogels. We use
a coarse-grained lattice-gas description and determine the nonequilibrium
behavior of the adsorbed gas within a local mean-field analysis, neglecting
thermal fluctuations and activated processes. We investigate the statistical
properties of the avalanches, such as their number, size and shape along the
adsorption isotherms as a function of gel porosity, temperature, and chemical
potential. Our calculations predict the existence of a line of critical points
in the temperature-porosity diagram where the avalanche size distribution
displays a power-law behavior and the adsorption isotherms have a universal
scaling form. The estimated critical exponents seem compatible with those of
the field-driven Random Field Ising Model at zero temperature.Comment: 16 pages, 14 figure
Hysteresis and Avalanches in the Random Anisotropy Ising Model
The behaviour of the Random Anisotropy Ising model at T=0 under local
relaxation dynamics is studied. The model includes a dominant ferromagnetic
interaction and assumes an infinite anisotropy at each site along local
anisotropy axes which are randomly aligned. Two different random distributions
of anisotropy axes have been studied. Both are characterized by a parameter
that allows control of the degree of disorder in the system. By using numerical
simulations we analyze the hysteresis loop properties and characterize the
statistical distribution of avalanches occuring during the metastable evolution
of the system driven by an external field. A disorder-induced critical point is
found in which the hysteresis loop changes from displaying a typical
ferromagnetic magnetization jump to a rather smooth loop exhibiting only tiny
avalanches. The critical point is characterized by a set of critical exponents,
which are consistent with the universal values proposed from the study of other
simpler models.Comment: 40 pages, 21 figures, Accepted for publication in Phys. Rev.
Dynamics of a ferromagnetic domain wall and the Barkhausen effect
We derive an equation of motion for the the dynamics of a ferromagnetic
domain wall driven by an external magnetic field through a disordered medium
and we study the associated depinning transition. The long-range dipolar
interactions set the upper critical dimension to be , so we suggest that
mean-field exponents describe the Barkhausen effect for three-dimensional soft
ferromagnetic materials. We analyze the scaling of the Barkhausen jumps as a
function of the field driving rate and the intensity of the demagnetizing
field, and find results in quantitative agreement with experiments on
crystalline and amorphous soft ferromagnetic alloys.Comment: 4 RevTex pages, 3 ps figures embedde
Dynamics of a ferromagnetic domain wall: avalanches, depinning transition and the Barkhausen effect
We study the dynamics of a ferromagnetic domain wall driven by an external
magnetic field through a disordered medium. The avalanche-like motion of the
domain walls between pinned configurations produces a noise known as the
Barkhausen effect. We discuss experimental results on soft ferromagnetic
materials, with reference to the domain structure and the sample geometry, and
report Barkhausen noise measurements on FeCoB amorphous
alloy. We construct an equation of motion for a flexible domain wall, which
displays a depinning transition as the field is increased. The long-range
dipolar interactions are shown to set the upper critical dimension to ,
which implies that mean-field exponents (with possible logarithmic correction)
are expected to describe the Barkhausen effect. We introduce a mean-field
infinite-range model and show that it is equivalent to a previously introduced
single-degree-of-freedom model, known to reproduce several experimental
results. We numerically simulate the equation in , confirming the
theoretical predictions. We compute the avalanche distributions as a function
of the field driving rate and the intensity of the demagnetizing field. The
scaling exponents change linearly with the driving rate, while the cutoff of
the distribution is determined by the demagnetizing field, in remarkable
agreement with experiments.Comment: 17 RevTeX pages, 19 embedded ps figures + 1 extra figure, submitted
to Phys. Rev.
Universal Pulse Shape Scaling Function and Exponents: A Critical Test for Avalanche Models applied to Barkhausen Noise
In order to test if the universal aspects of Barkhausen noise in magnetic
materials can be predicted from recent variants of the non-equilibrium zero
temperature Random Field Ising Model (RFIM), we perform a quantitative study of
the universal scaling function derived from the
Barkhausen pulse shape in simulations and experiment. Through data collapses
and scaling relations we determine the critical exponents and
in both simulation and experiment. Although we find agreement
in the critical exponents, we find differences between theoretical and
experimental pulse shape scaling functions as well as between different
experiments.Comment: 19 pages (in preprint format), 5 figures, 1 tabl
Non-invasive assessment of risk for severe tachyarrhythmias by means of non-linear analysis techniques
Sudden death remains a phenomenon of disturbing proportions, displaying a mean incidence of 300,000-350,000 persons/year in the USA (0.1-0.2% of the general population). In Europe, the figures are very similar. In 90% of cases, sudden death has an arrhythmic cause. Prevention of Sudden Cardiac Death (SCD) constitutes one of the most important challenges of modern cardiology. In order to make a real progress in this field it is crucial to precisely identify increased risk for serious ventricular tachyarrhythmias. In this study the effectiveness of different methods of the non-linear analysis (NLA) of ECG in the risk stratification of patients with ventricular arrhythmias is evaluated, and these non-invasive parameters are correlated with the results of invasive electrophysiological study (EPS). We evaluated 25 patients with history of cardiac arrest, syncope, sustained or nonsustained ventricular tachycardia (VT). The study group was compared with a control group of 25 healthy subjects. All patients underwent both electrophysiologic study (EPS) and non-linear analysis (NLA) of ECG. Patients were classified through the application of a clustering procedure to the whole set of functions, and a comparison between the results of non-linear analysis of ECG and EPS was performed. Results are presented and discussed
Non-invasive assessment of risk for severe tachyarrhythmias by means of non-linear analysis techniques
Sudden death remains a phenomenon of disturbing proportions, displaying a mean incidence of 300,000-350,000 persons/year in the USA (0.1-0.2% of the general population). In Europe, the figures are very similar. In 90% of cases, sudden death has an arrhythmic cause. Prevention of Sudden Cardiac Death (SCD) constitutes one of the most important challenges of modern cardiology. In order to make a real progress in this field it is crucial to precisely identify increased risk for serious ventricular tachyarrhythmias. In this study the effectiveness of different methods of the non-linear analysis (NLA) of ECG in the risk stratification of patients with ventricular arrhythmias is evaluated, and these non-invasive parameters are correlated with the results of invasive electrophysiological study (EPS). We evaluated 25 patients with history of cardiac arrest, syncope, sustained or nonsustained ventricular tachycardia (VT). The study group was compared with a control group of 25 healthy subjects. All patients underwent both electrophysiologic study (EPS) and non-linear analysis (NLA) of ECG. Patients were classified through the application of a clustering procedure to the whole set of functions, and a comparison between the results of non-linear analysis of ECG and EPS was performed. Results are presented and discussed
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