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Top Papers in Monte carlo simulations
Anomalous radiative transfer using Monte Carlo codes
Monte Carlo simulations in anomalous radiative transfer: a tutorial
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Monte Carlo simulations for the ANTARES underwater neutrino telescope
Monte Carlo simulations are a unique tool to check the response of a detector
and to monitor its performance. For a deep-sea neutrino telescope, the
variability of the environmental conditions that ca
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Monte Carlo Simulations of BFSS and IKKT Matrix Models
In this thesis, we studied the bosonic BFSS and IKKT matrix models using Monte Carlo simulations. First, we explored some toy models to check the validity of the numerical simulations. Then we simulat
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Heterogeneous multiscale Monte Carlo simulations for gold nanoparticle radiosensitization
To introduce the heterogeneous multiscale (HetMS) model for Monte Carlo
simulations of gold nanoparticle dose-enhanced radiation therapy (GNPT), a
model characterized by its varying levels of detail o
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Geometricly adapted Langevin dynamics for Markov Chain Monte Carlo
Geometrically adapted Langevin dynamics for Markov chain Monte Carlo simulations
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Hybrid Cerenkov-scintillation detector validation using Monte Carlo simulations
Objective: This study aimed at investigating through Monte Carlo simulations
the limitations of a novel hybrid Cerenkov-scintillation detector and the
associated method for irradiation angle measureme
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Predicting Credit Default Probabilities Using Bayesian Statistics and Monte Carlo Simulations
Banks and financial institutions all over the world manage portfolios
containing tens of thousands of customers. Not all customers are high
credit-worthy, and many possess varying degrees of risk to t
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A fractional Hawkes process II: Further characterization of the process
We characterize a Hawkes point process with kernel proportional to the
probability density function of Mittag-Leffler random variables. This kernel
decays as a power law with exponent $\beta +1 \in (1
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Analysis of autocorrelation times in Neural Markov Chain Monte Carlo simulations
We provide a deepened study of autocorrelations in Neural Markov Chain Monte
Carlo simulations, a version of the traditional Metropolis algorithm which
employs neural networks to provide independent p
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Hints for possible low redshift oscillation around the best fit $Λ$CDM model in the expansion history of the Universe
We search for possible deviations from the expectations of the concordance
$\Lambda$CDM model in the expansion history of the Universe by analysing the
Pantheon Type Ia Supernovae (SnIa) compilation a
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The confinement/deconfinement transition in the D0-brane matrix model and its one-parameter deformation
Confinement/deconfinement transition in the D0-brane matrix model -- A signature of M-theory?
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Toward precision Fermi liquid theory in flatland
The ultra-cold and weakly-coupled Fermi gas in two spatial dimensions is
studied in an effective field theory framework. Universal corrections to the
energy density are computed to three orders in the
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Real tensor eigenvalue/vector distributions
Real tensor eigenvalue/vector distributions of the Gaussian tensor model via a four-fermi theory
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Reduction of Negative Weights in Monte Carlo Event Generators
Reducing negative weights in Monte Carlo event generation with Sherpa
The origin of negative weighted events in the s-mc@nlo method is reviewed and mechanisms to reduce the negative weight fraction in simulations with the sherpa event generator are presented, with a focus on v+jets and tt+jets simulations.
Running Mean and Variance in Parallelized Monte-Carlo Simulations
Accurate and consistent calculation of the mean and variance in Monte-Carlo simulations
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Conditional Born machine for Monte Carlo events generation
Generative modeling is a promising task for near-term quantum devices, which
can use the stochastic nature of quantum measurements as random source. So
called Born machines are purely quantum models a
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Reconstructed pCT Images Using Monte Carlo Simulations of a Scintillating Glass Detector
The high cost and low image quality traditionally associated with proton
computed tomography (pCT) have prevented it from seeing significant use in
clinical settings. A cheap, compact, high-density sc
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Boosting Monte Carlo simulations of spin glasses using autoregressive neural networks
The autoregressive neural networks are emerging as a powerful computational
tool to solve relevant problems in classical and quantum mechanics. One of
their appealing functionalities is that, after th
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Machine learning of XY model on a spherical Fibonacci lattice
We study the XY model on a spherical surface inspired by recently realized
spherically confined atomic gases. Instead of a traditional latitude-longitude
lattice, we introduce a much more homogeneous
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