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Bootstrap, Markov Chain Monte Carlo, and LP/SDP hierarchy for the lattice Ising model
Bootstrap is an idea that imposing consistency conditions on a physical system may lead to rigorous and nontrivial statements about its physical...
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Markov Chain Monte Carlo optimization applied to double stars from Miller & Pitman research
Model orbits have been fitted to 27 physical double stars listed in a 1922 catalog. A Markov Chain Monte Carlo technique was applied to estimate...
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A Novel Method Based on a Non-Stationary Discrete Markov Chain for Tracking Variations in the Quantity of Reserved Energy and the Number of Electric Vehicles
AbstractSince the initial suggestion that electrically propelled vehicles could be used on the grid-side, numerous significant investigations have...
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Non-reversible Metastable Diffusions with Gibbs Invariant Measure II: Markov Chain Convergence
This article considers a class of metastable non-reversible diffusion processes whose invariant measure is a Gibbs measure associated with a Morse...
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Reflected entropy and Markov gap in Lifshitz theories
We study the reflected entropy in (1+1)-dimensional Lifshitz field theory whose groundstate is described by a quantum mechanical model. Starting from...
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The Markov gap in the presence of islands
The Markov gap [
1 ], namely the difference between reflected entropy and mutual information, is explicitly computed in the defect extremal surface... -
Implementation of a Quantum Generator of Random Numbers: Extraction of Provably Random Bit Sequences from Correlated Markov Chains
An experimental implementation of a quantum random number generator has been proposed. A new method for the extraction of provably random bit sequences ...
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Unsupervised Machine Learning Methods for Determining Special Points of the Polymerase Chain Reaction Fluorescence Accumulation Curve
AbstractThe polymerase chain reaction (PCR) method is a cyclic process based on the repeated copying of a certain fragment of DNA using enzymes in...
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Accommodating muon (g − 2) and leptogenesis in a scotogenic model
We present a detailed study of a scotogenic model accommodating dark matter, neutrino masses and the anomalous magnetic moment of the muon while...
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Markov Chain Monte Carlo
As we have seen, in the previous chapter, in a Markov chain we have the following two types of distributions, leading to a joint distribution.
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Probabilistic-based analysis and model selection of the tangential stiffness reduction: displacement curves of nonconforming contacts
Granular materials are of interest in a broad range of applications and the use of discrete-based numerical tools has been proved very promising in...
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Aspects of the FM Kondo Model: From Unbiased MC Simulations to Back-of-an-Envelope Explanations
Effective models are derived from the ferromagnetic Kondo lattice model with classical corespins, which greatly reduce the numerical effort. Results...
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Baryonic dark forces in electron-beam fixed-target experiments
New GeV-scale dark forces coupling predominantly to quarks offer novel signatures that can be produced directly and searched for at high-luminosity...
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Mesoscopic Multi-particle Collision Model for Fluid Flow and Molecular Dynamics
Several aspects of modeling dynamics at the mesoscale level are discussed: (1) The construction of a mesoscopic description of fluid dynamics. The...
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Search for low mass dark matter in DarkSide-50: the bayesian network approach
We present a novel approach for the search of dark matter in the DarkSide-50 experiment, relying on Bayesian Networks. This method incorporates the...
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Stripe correlations in the two-dimensional Hubbard-Holstein model
Several state-of-the-art numerical methods have observed static or fluctuating spin and charge stripes in doped two-dimensional Hubbard models,...
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Metropolis–Hastings Algorithm for Ising Model
Models in statistical physics have vast degrees of freedom and finding exact solutions are very challenging.
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Constructing model-agnostic likelihoods, a method for the reinterpretation of particle physics results
Experimental High Energy Physics has entered an era of precision measurements. However, measurements of many of the accessible processes assume that...
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A flavor-inspired radiative neutrino mass model
One of the most important discoveries in particle physics is the observation of nonzero neutrino masses, which dictates that the Standard Model (SM)...
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Energy Landscape and Metastability of Curie–Weiss–Potts Model
In this paper, we thoroughly analyze the energy landscape of the Curie–Weiss–Potts model, which is a ferromagnetic spin system consisting of
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