physics of interacting particles. PACS numbers: 89.40.-a, 05.20.-y, 45.70.Vn Key words: vehicular traffic, thermodynamical gas, Random Matrix Theory, number variance The detailed understanding of the processes acting in the traffic systems is one of the most essential parts of the traffic research

that thermodynamic feedbacks excited by stochastic atmospheric perturbations can generate Atlantic Niño s.d. of B0.28±0.07K, explaining B68±23 % of the observed interannual variability. Thus, in state-of-the-art coupled models, Atlantic Niño variability strongly depends on the thermodynamic component (R20

If the variance of a short range Gaussian random potential grows like the volume its quenched thermodynamic limit is reached monotonically.

In this paper we consider the problem of nding a generic algorithm for applying Markov chain Monte Carlo (MCMC) estimation procedures to statistical models that include variance matrices with additional parameter constraints. We consider separately the case of additional constraints across variance

Abstract. The effects of chemistry on the transport and the mixing of reacting scalars in the convective atmospheric boundary layer (CBL) are investigated. To do this, we use large-eddy simulation (LES) to calculate explicitly the different terms of the flux and (co-)variance budget equations

The use of the thermodynamic “internal energy ” U as a tool for characterizing eigenvalue spectra is examined via Monte Carlo studies. We show that for pure and complete spectra, internal energy provides significant separation between individual Gaussian orthogonal ensemble (GOE) and Poisson

the normalization Pn(q), Diaconis and Ram calculated the mean and variance of d(π, e) in the Mallows model, which suggests the appropriate n → ∞ limit has qn scaling as 1 − β/n. We calculate the distribution of the empirical measure in this limit, u(x, y) dx dy = limn→ ∞ 1 Pn n i=1 δ (i,πi). Treating it as a mean

ABSTRACT: Scaling of thermodynamic variance in shallow-cumulus-topped mixed layers is studied using large-eddy simulation (LES). First, the performance of the top-down scaling (the turbulent flux at mixed-layer top divided by w∗) is evaluated for transient shallow-cumulus convection over land

of systematic errors. A modern approach of mathematical statistics, that is the estimation of variance components, has been utilized in order to treat systematic errors. Visualization of the quality of the fit is discussed.

this schematic model we highlight a generaic feature of the phase-transition phenomenology: the temperature interval where pasta phases are formed is enhanced by Coulomb-frustration effects. This result is at variance with the behaviour of frustrated ferromagnetic systems as well as hot nuclei and mean