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We study the time dynamics of random density matrices generated by evolving the same pure state using a Gaussian orthogonal ensemble (GOE) of Hamiltonians. We show that the spectral statistics of the resulting mixed state is well described…

Discerning chaos in quantum systems is an important problem as the usual route of Lyapunov exponents in classical systems is not straightforward in quantum systems. A standard route is the comparison of statistics derived from model…

Statistical Mechanics · Physics 2024-08-09 Debojyoti Kundu , Santosh Kumar , Subhra Sen Gupta

We study spectral behavior of sparsely connected random networks under the random matrix framework. Sub-networks without any connection among them form a network having perfect community structure. As connections among the sub-networks are…

Statistical Mechanics · Physics 2015-05-13 Sarika Jalan

Two families of strongly non-Gaussian random matrix ensembles (RME) are considered. They are statistically equivalent to a one-dimensional plasma of particles interacting logarithmically and confined by the potential that has the long-range…

Condensed Matter · Physics 2009-10-22 C. M. Canali , Mats Wallin , V. E. Kravtsov

In this paper we review and compare the numerical evaluation of those probability distributions in random matrix theory that are analytically represented in terms of Painlev\'e transcendents or Fredholm determinants. Concrete examples for…

Probability · Mathematics 2010-12-09 Folkmar Bornemann

Over 10 years ago we proposed an experiment on measuring the characteristics of radiative neutron decay in papers [1, 2]. At the same time we had published the theoretical spectrum of radiative gamma quanta, calculated within the framework…

Nuclear Experiment · Physics 2015-05-13 R. U. Khafizov , S. V. Tolokonnikov , V. A. Solovei , M. R. Kolhidashvili

Subterrestrial neutron spectra show weak but consistent anomalies at multiplicities ~100 and above [1-3]. The data of the available measurements are of low statistical significance [4] but indicate an excess of events not correlated with…

High Energy Physics - Phenomenology · Physics 2023-12-05 Thomas Ward , Wladyslaw H. Trzaska

Under a multinormal distribution with an arbitrary unknown covariance matrix, the main purpose of this paper is to propose a framework to achieve the goal of reconciliation of Bayesian, frequentist, and Fisher's reporting $p$-values,…

Statistics Theory · Mathematics 2024-12-10 Ming-Tien Tsai

Introduction: Normalised prediction distribution errors (npde) are used to graphically and statistically evaluate continuous responses in non-linear mixed effect models. Here, our aim was to extend npde for categorical data and to evaluate…

Methodology · Statistics 2026-05-05 Marc Cerou , Marylore Chenel , Emmanuelle Comets

We study a class of Hermitian random matrices which includes and generalizes Wigner matrices, heavy-tailed random matrices, and sparse random matrices such as the adjacency matrices of Erdos-Renyi random graphs with p ~ 1/N. Our NxN random…

Probability · Mathematics 2016-02-16 Paul Jung

Reaction-nonlinear diffusion (RND) partial differential equations are a fruitful playground to model the formation of sharp travelling fronts, a fundamental pattern in nature. In this work, we demonstrate the utility and scope of…

Dynamical Systems · Mathematics 2023-08-08 Bronwyn H Bradshaw-Hajek , Ian Lizarraga , Robert Marangell , Martin Wechselberger

The measurement of nuclear Generalized Parton Distributions (GPDs) represents a valuable tool to understand the structure of bound nucleons and the phenomenology of hard scattering off nuclei. By using a realistic, non-relativistic…

Nuclear Theory · Physics 2011-04-22 S. Scopetta

Random Field Theory has been used in the fMRI literature to address the multiple comparisons problem. The method provides an analytical solution for the computation of precise p-values when its assumptions are met. When its assumptions are…

Applications · Statistics 2016-07-28 Tim M. Tierney , Christopher A. Clark , David W. Carmichael

A new method for the determination of environmental Gd by neutron transmission (NT) experiments is proposed. The NT method is based on the measurements of neutron spectra passing through a target. From the attenuation neutron spectra new…

Nuclear Experiment · Physics 2014-06-04 Cristiana Oprea , Ioan Alexandru Oprea , Alexandru Mihul

Based on the distribution of tidal deformabilities and component masses of binary neutron star merger GW170817, the parametric equation of states (EOS) are employed to probe the nuclear symmetry energy and the properties of neutron star. To…

Nuclear Theory · Physics 2021-01-22 Yuxi Li , Houyuan Chen , Dehua Wen , Jing Zhang

Whether for shielding applications or for criticality safety studies, solving the neutron transport equation with good accuracy requires to take into account the resonant structure of cross sections in part of the Unresolved Resonance…

Computational Physics · Physics 2024-04-26 M. Zmeškal , L. Thulliez , P. Tamagno , E. Dumonteil

We apply Tsallis's q-indexed entropy to formulate a non-extensive random matrix theory (RMT), which may be suitable for systems with mixed regular-chaotic dynamics. The joint distribution of the matrix elements is given by folding the…

Statistical Mechanics · Physics 2007-05-23 A. Y. Abul-Magd

We show that, within a finite window of parameter space, random matrix theory (RMT) statistics emerge in observables of a finite-volume massive free scalar field theory after a local operator quench. The spacing-ratio distribution of…

High Energy Physics - Theory · Physics 2026-05-12 Dmitry S. Ageev , Vasilii V. Pushkarev

Porter-Thomas fluctuations of neutron widths skew compound nuclear decay probabilities from their statistical Hauser-Feshbach values. We present a straightforward method to correct Hauser-Feshbach calculations for these fluctuations, useful…

Nuclear Theory · Physics 2025-03-25 Oliver C. Gorton , Jutta E. Escher

The radiological characterization of contaminated elements (walls, grounds, objects) from nuclear facilities often suffers from a too small number of measurements. In order to determine risk prediction bounds on the level of contamination,…

Applications · Statistics 2017-05-30 Géraud Blatman , Thibault Delage , Bertrand Iooss , Nadia Pérot