Search results for "Distribution function"

showing 8 items of 348 documents

A Power Law Behavior in the Incentivized Italian Photovoltaic Market

2018

The Italian photovoltaic (PV) marketis analyzed by using the data contained in the database that describes all PV Plants installed in Italy under the incentive program called “2nd Conto Energia”. It is shown that the cumulative probability distribution of the size of the installed PV plants has a broken power tail. An approach to partially quantify the effect of the economic, juridical and technical rules is introduced in order to show how the regulatory body influences the power tail of the cumulative probability curve.

power lawEnvironmental EngineeringSettore ING-IND/11 - Fisica Tecnica AmbientaleRenewable Energy Sustainability and the Environment020209 energyCumulative distribution functionPhotovoltaic systemAuthorizationEnergy Engineering and Power Technology02 engineering and technologyPower lawIndustrial and Manufacturing EngineeringPower (physics)Order (exchange)Hardware and Architecture0202 electrical engineering electronic engineering information engineeringEconometricsEconomicsphotovoltaic marketProbability distributionIncentive programElectrical and Electronic Engineeringenergy
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Highly occupied gauge theories in 2 + 1 dimensions : a self-similar attractor

2019

Motivated by the boost-invariant Glasma state in the initial stages in heavy-ion collisions, we perform classical-statistical simulations of SU(2) gauge theory in 2+1 dimensional space-time both with and without a scalar field in the adjoint representation. We show that irrespective of the details of the initial condition, the far-from-equilibrium evolution of these highly occupied systems approaches a unique universal attractor at high momenta that is the same for the gauge and scalar sectors. We extract the scaling exponents and the form of the distribution function close to this non-thermal fixed point. We find that the dynamics are governed by an energy cascade to higher momenta with sc…

quark-gluon plasmaScalar (mathematics)Adjoint representationhep-latFOS: Physical scienceshiukkasfysiikka114 Physical sciences01 natural sciencesComputer Science::Digital Librariessymbols.namesakeHigh Energy Physics - LatticeHigh Energy Physics - Phenomenology (hep-ph)Correlation functionfysikk0103 physical sciencesAttractorquantum chromodynamicsGauge theory010306 general physicsUNIVERSAL DYNAMICSParticle Physics - PhenomenologyMathematical physicsDebyePhysics:Matematikk og Naturvitenskap: 400::Fysikk: 430 [VDP]010308 nuclear & particles physicsHigh Energy Physics - Lattice (hep-lat)finite temperature field theoryParticle Physics - Latticehep-ph115 Astronomy Space scienceHigh Energy Physics - PhenomenologyDistribution functionsymbolsScalar fieldrelativistic heavy-ion collisions
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On probabilistic interpretations of predicates

2016

In classical logic, any m-ary predicate is interpreted as an m-argument two-valued relation defined on a non-empty universe. In probability theory, m-ary predicates are interpreted as probability measures on the mth power of a probability space. m-ary probabilistic predicates are equivalently semantically characterized as m-dimensional cumulative distribution functions defined on Rm. The paper is mainly concerned with probabilistic interpretations of unary predicates in the algebra of cumulative distribution functions defined on R. This algebra, enriched with two constants, forms a bounded De Morgan algebra. Two logical systems based on the algebra of cumulative distributions are defined an…

random variableDe Morgan algebrapredicateconsequence operationcumulative distribution functionprobability space
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Two‐sample problems in statistical data modelling

2010

A common problem in mathematical statistics is to check whether two samples differ from each other. From modelling point of view it is possible to make a statistical test for the equality of two means or alternatively two distribution functions. The second approach allows to represent the two‐sample test graphically. This can be done by adding simultaneous confidence bands to the probability‐probability (P — P) or quantile‐quantile (Q — Q) plots. In this paper we compare empirically the accuracy of the classical two‐sample t‐test, empirical likelihood method and several bootstrap methods. For a real data example both Q — Q and P — P plots with simultaneous confidence bands have been plotted…

simultaneous bandsMathematical statisticstwo‐sample problemt‐testempirical likelihoodData modelingquantile‐quantile plotEmpirical likelihoodDistribution functionprobability‐probability plotModeling and SimulationStatisticsQA1-939Point (geometry)Two sampleQ–Q plotAnalysisMathematicsStatistical hypothesis testingMathematicsMathematical Modelling and Analysis
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Compost Amendment Impact on Soil Physical Quality Estimated from Hysteretic Water Retention Curve

2022

Capacity-based indicators of soil physical quality (SPQ) and pore distribution parameters were proposed to assess the effects of compost amendment but their determination was limited to desorption water retention experiments. This study also considered the pore size distribution obtained from adsorption experiments to establish the effectiveness of compost amendment in modifying the physical and hydrological attributes of a sandy loam soil. Repacked soil samples with different compost to soil ratios, r, were subjected to a wetting–drying cycle, and the water retention data were fit to the van Genuchten model to obtain the pore volume distribution functions. The soil bulk density was m…

soil structure pore volume distribution function bulk density macroporosity air capacity plant available water capacity relative field capacity S-indexGeography Planning and Developmentsoil structure; pore volume distribution function; bulk density; macroporosity; air capacity; plant available water capacity; relative field capacity; S-indexSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliAquatic ScienceBiochemistryWater Science and Technology
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Stationary and Nontationary Response Probability Density Function of a Beam under Poisson White Noise

2011

In this paper an approximate explicit probability density function for the analysis of external oscillations of a linear and geometric nonlinear simply supported beam driven by random pulses is proposed. The adopted impulsive loading model is the Poisson White Noise , that is a process having Dirac’s delta occurrences with random intensity distributed in time according to Poisson’s law. The response probability density function can be obtained solving the related Kolmogorov-Feller (KF) integro-differential equation. An approximated solution, using path integral method, is derived transforming the KF equation to a first order partial differential equation. The method of characteristic is the…

symbols.namesakeCharacteristic function (probability theory)Cumulative distribution functionMathematical analysissymbolsFirst-order partial differential equationProbability distributionProbability density functionWhite noiseMoment-generating functionPoisson distributionMathematics
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Saddle index properties, singular topology, and its relation to thermodynamic singularities for aϕ4mean-field model

2004

We investigate the potential energy surface of a ${\ensuremath{\phi}}^{4}$ model with infinite range interactions. All stationary points can be uniquely characterized by three real numbers ${\ensuremath{\alpha}}_{+},{\ensuremath{\alpha}}_{0},{\ensuremath{\alpha}}_{\ensuremath{-}}$ with ${\ensuremath{\alpha}}_{+}+{\ensuremath{\alpha}}_{0}+{\ensuremath{\alpha}}_{\ensuremath{-}}=1$, provided that the interaction strength $\ensuremath{\mu}$ is smaller than a critical value. The saddle index ${n}_{s}$ is equal to ${\ensuremath{\alpha}}_{0}$ and its distribution function has a maximum at ${n}_{s}^{\mathrm{max}}=1∕3$. The density $p(e)$ of stationary points with energy per particle $e$, as well as…

symbols.namesakeDistribution functionMean field theoryEuler characteristicPotential energy surfaceZero (complex analysis)symbolsGround stateTopologyEnergy (signal processing)Real numberMathematicsPhysical Review E
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Structure and dynamics in liquid bismuth and Bin clusters: A density functional study

2014

Density functional/molecular dynamics simulations with more than 500 atoms have been performed on liquid bismuth at 573, 773, 923, and 1023 K and on neutral Bi clusters with up to 14 atoms. There are similar structural patterns (coordination numbers, bond angles, and ring patterns) in the liquid and the clusters, with significant differences from the rhombohedral crystalline form. We study the details of the structure (structure factor, pair, and cavity distribution functions) and dynamical properties (vibration frequencies, diffusion constants, power spectra), and compare with experimental results where available. While the three short covalent bonds typical to pnictogens are characteristi…

vibration frequencyCoordination numberGeneral Physics and Astronomychemistry.chemical_element02 engineering and technology01 natural sciencesMolecular physicsBinBismuthMolecular dynamics0103 physical sciencesAtomPhysical and Theoretical Chemistry010306 general physicsconcentration variationspin-orbit couplingsta114021001 nanoscience & nanotechnologybismuth distribution functionsdynamical propertiesMolecular geometrychemistrydensity functionalsddc:540structure and dynamicsDensity functional theoryAtomic physics0210 nano-technologyStructure factordensity-functional studycoordination numberJournal of chemical physics
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