Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"critical slowing down"”.
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Eliminating critical slowing down in Monte Carlo calculations
… Carlo methods in lattice calculations break down whenever one tries to calculate thermodynamic quantities near critical points; this phenomenon is called Critical Slowing Down, (CSD). Recently, alternate methods have been proposed to shorten the relaxation time and thereby, reduce CSD. These …
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Eliminating critical slowing down in Monte Carlo calculations
… Carlo methods in lattice calculations break down whenever one tries to calculate thermodynamic quantities near critical points; this phenomenon is called Critical Slowing Down, (CSD). Recently, alternate methods have been proposed to shorten the relaxation time and thereby, reduce CSD. These …
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Spatio-temporal dynamics before population collapse
… from small perturbations, a phenomenon called critical slowing down. In this thesis, we used replicate laboratory populations of the budding yeast Saccharomyces cerevisiae for direct observation of critical slowing down in spatio-temporal dynamics before population collapse. In the first …
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Machine Learning and Variational Algorithms for Lattice Field Theory
… coupled regime, where perturbative methods break down. To recover information about continuum physics, parameters defining the lattice theory must be tuned toward criticality. However, Markov chain Monte Carlo (MCMC) methods commonly used to evaluate the lattice-regularized path integral suffer …
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Probing the Nonperturbative Physics of QCD with Normalizing Flows and a moderate number of Pions
… has the promise of eliminating issues such as critical slowing down, as well as introducing novel tools and methods that enable methods of calculation that would be possible otherwise.
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Computational studies of thermal and quantum phase transitions approached through non-equilibrium quenching
Phase transitions and their associated critical phenomena are of fundamental importance and play a crucial role in the development of statistical physics for both classical and quantum systems. Phase transitions embody diverse aspects of physics and also have numerous applications outside physics, …
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Population dynamics of stochastic lattice Lotka-Volterra models
… of the phase transition point, we observe critical slowing-down and algebraic decay of the predator density at the extinction critical point. The numerically determined critical exponents are in accord with the established values of the directed percolation universality class. Following a …
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Dynamics and precursor signs for phase transitions in neural systems
… the question: How does a brain traverse the critical threshold between distinct cortical states, both healthy and pathological? Specifically we are interested in sub-threshold neural behaviour immediately prior to state transition. We use theoretical neural modelling (single spiking neurons, …
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Zeitabhängige Phänomene in athermischen Formgedächtnislegierungen
… resemble second order phenomena. In that case "critical slowing down" would have been observable. Despite a temperature resolution of up to 0.05K the dynamic can only be observed at a few temperatures in close vicinity of the phase transition. In particular it has to be stated that despite the …
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Structures, processes, and clustering of complex networks
… transition finder algorithm is used to avoid critical slowing down in the critical region. The networks are varied with respect to edge density, triangle density, exponent of the scale-free degree distribution, and degree correlation (additive, multiplicative). High clustering accelerates the …
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Predicting and identifying signs of criticality near neuronal phase transition
This thesis examines the critical transitions between distinct neural states associated with the transition to neuron spiking and with the induction of anaesthesia. First, mathematical and electronic models of a single spiking neuron are investigated, focusing on stochastic subthreshold dynamics on …