Results 1  10
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108
Statistical variances in traffic data
, 2008
"... We perform statistical analysis of the singlevehicle data measured on the Dutch freeway A9 and discussed in [2]. Using tools originating from the Random Matrix Theory we show that the significant changes in the statistics of the traffic data can be explained applying equilibrium statistical physics ..."
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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
Thermodynamic controls of the Atlantic Niño
"... Prevailing theories on the equatorial Atlantic Niño are based on the dynamical interaction between atmosphere and ocean. However, dynamical coupled oceanatmosphere models poorly simulate and predict equatorial Atlantic climate variability. Here we use multimodel numerical experiments to show that ..."
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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 stateoftheart coupled models, Atlantic Niño variability strongly depends on the thermodynamic component (R20
Monotonicity and Thermodynamic Limit for Short Range Disordered Models
, 2003
"... If the variance of a short range Gaussian random potential grows like the volume its quenched thermodynamic limit is reached monotonically. ..."
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Cited by 5 (4 self)
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If the variance of a short range Gaussian random potential grows like the volume its quenched thermodynamic limit is reached monotonically.
Thermodynamic limit of the GinzburgLandau equations
 Nonlinearity
, 1994
"... 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 ..."
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Cited by 3 (2 self)
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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
Fluxes and (co)variances of reacting scalars in the
, 2003
"... 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 largeeddy simulation (LES) to calculate explicitly the different terms of the flux and (co)variance budget equations and to ..."
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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 largeeddy simulation (LES) to calculate explicitly the different terms of the flux and (co)variance budget equations
A Thermodynamic Analysis of Energy Eigenvalues
"... 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 spectra ..."
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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
THERMODYNAMIC LIMIT FOR THE MALLOWS MODEL ON Sn
, 2009
"... The Mallows model on Sn is a probability distribution on permutations, q d(π,e) /Pn(q), where d(π, e) is the distance between π and the identity element, relative to the Coxeter generators. Equivalently, it is the number of inversions: pairs (i, j) where 1 ≤ i < j ≤ n, but πi> πj. Analyzing ..."
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Cited by 4 (1 self)
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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
(www.interscience.wiley.com) DOI: 10.1002/qj.105 Variance scaling in shallowcumulustopped mixed layers
"... ABSTRACT: Scaling of thermodynamic variance in shallowcumulustopped mixed layers is studied using largeeddy simulation (LES). First, the performance of the topdown scaling (the turbulent flux at mixedlayer top divided by w∗) is evaluated for transient shallowcumulus convection over land. The r ..."
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ABSTRACT: Scaling of thermodynamic variance in shallowcumulustopped mixed layers is studied using largeeddy simulation (LES). First, the performance of the topdown scaling (the turbulent flux at mixedlayer top divided by w∗) is evaluated for transient shallowcumulus convection over land
SIMULTANEOUS ASSESSMENT OF THERMODYNAMIC FUNCTIONS OF CALCIUM ALUMINATES
"... The Gibbs energies of calcium aluminates, Ca3Al2O6, CaAl2O4, CaAl4O7, and CaAl12O19 have been determined from all the available literature experimental values: the enthalpies of formation, the 3rd law entropies derived from lowtemperature heat capacities, and the Gibbs energies of reactions obtaine ..."
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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.
Thermodynamics of compactstar matter within an Ising approach
, 2006
"... In the formation and evolution of compact stars, nuclear matter explores high thermal excursions and is the site of intense neutrino emission. Neutrino transport as well as structural properties of this matter depend on the presence of inhomogeneous phases (named “pasta ” phases), which are the resu ..."
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this schematic model we highlight a generaic feature of the phasetransition phenomenology: the temperature interval where pasta phases are formed is enhanced by Coulombfrustration effects. This result is at variance with the behaviour of frustrated ferromagnetic systems as well as hot nuclei and mean
Results 1  10
of
108