Search results for "Statistical physics"

showing 10 items of 1402 documents

Computing Strong Shocks in Ultrarelativistic Flows: A Robust Alternative

1999

In recent years, shock capturing methods have started to be used in numerical simulations in Relativistic Fluid Dynamics (RFD). These techniques lead to explicit numerical codes that are able to successfully simulate the extreme conditions of the ultrarelativistic regime. After [2], an explicit, ready-to-use description of the full spectral decomposition of the Jacobian matrices of the RFD system is available, and this allows us to implement Marquina’s scheme [3] in RFD. The scheme is seen to maintain the good behavior shown in [3] with respect to certain numerical pathologies.

Physics::Fluid DynamicsPhysicssymbols.namesakeShock capturing methodJacobian matrix and determinantsymbolsStatistical physicsRelativistic fluidMatrix decomposition
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A neural network clustering algorithm for the ATLAS silicon pixel detector

2014

A novel technique to identify and split clusters created by multiple charged particles in the ATLAS pixel detector using a set of artificial neural networks is presented. Such merged clusters are a common feature of tracks originating from highly energetic objects, such as jets. Neural networks are trained using Monte Carlo samples produced with a detailed detector simulation. This technique replaces the former clustering approach based on a connected component analysis and charge interpolation. The performance of the neural network splitting technique is quantified using data from proton-proton collisions at the LHC collected by the ATLAS detector in 2011 and from Monte Carlo simulations. …

Physics::Instrumentation and DetectorsCiencias FísicasMonte Carlo methodHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)jetParticle tracking detectors[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [p p]Statistical physicscluster [track data analysis]Particle tracking detectors (solid-state detectors)InstrumentationQCMathematical PhysicsPhysicsArtificial neural networkAtlas (topology)Detectordetectors)Monte Carlo [numerical calculations]ATLASperformance [neural network]CERN LHC CollParticle tracking detectors (Solid-state detectors)Feature (computer vision)Physical SciencesParticle tracking detectors (Solid-stateParticle tracking detectors; Particle tracking detectors (Solid-state detectors)ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGLHCConnected-component labelingAlgorithmNeural networksCIENCIAS NATURALES Y EXACTASParticle Physics - ExperimentInterpolationCiências Naturais::Ciências Físicas530 Physicssplitting:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesParticle tracking detectors; Particle tracking detectors (solid-state detectors); Instrumentation; Mathematical Physics530FysikHigh Energy Physicsddc:610Cluster analysispixel [semiconductor detector]Science & TechnologyFísica//purl.org/becyt/ford/1.3 [https]High Energy Physics - Experiment; High Energy Physics - ExperimentParticle tracking detectorcluster [charged particle]AstronomíaParticle tracking detectors; Particle tracking detectors (Solid-state; detectors)Experimental High Energy Physicsimpact parameter [resolution]
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Stock markets and quantum dynamics: A second quantized description

2009

In this paper we continue our description of stock markets in terms of some non-abelian operators which are used to describe the portfolio of the various traders and other observable quantities. After a first prototype model with only two traders, we discuss a more realistic model of market involving an arbitrary number of traders. For both models we find approximated solutions for the time evolution of the portfolio of each trader. In particular, for the more realistic model, we use the stochastic limit approach and a fixed point like approximation. © 2007 Elsevier B.V. All rights reserved

Physics::Physics and SocietyStatistics and ProbabilitySecond quantizationComputer Science::Computer Science and Game TheoryQuantitative Finance - Trading and Market MicrostructureQuantum dynamicQuantum dynamicsTime evolutionObservableStock marketsFixed pointCondensed Matter PhysicsSecond quantizationTrading and Market Microstructure (q-fin.TR)FOS: Economics and businessComputer Science::Multiagent SystemsComputer Science::Computational Engineering Finance and SciencePortfolioStatistical physicsSettore MAT/07 - Fisica MatematicaMathematical economicsStock (geology)MathematicsPhysica A: Statistical Mechanics and its Applications
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The evolution of the meaning of blood hyperviscosity in cardiovascular physiopathology: Should we reinterpret Poiseuille?

2009

In the 1960s and 1970s, a number of researchers (including ourselves) involved in the study of cardiovascular pathophysiology and particularly in the development of techniques to quantify blood flow, came across the observation that, along with vessel diameter, also blood viscosity plays an important role not only in theory but also in practice. Until then, viscosity was thought to play only a marginal role in determining blood flow, a concept which was based on the 1828 theories of Jean Louis Marie Poiseuille (Fig. 1, and [1]).1 In his well-known formula, named after its fathers Hagen2 and Poiseuille,

PhysiologyBlood viscosityHematologyBlood flowHagen–Poiseuille equationEpistemologyVessel diameterViscosityPhysiology (medical)Blood HyperviscosityMeaning (existential)Statistical physicsCardiology and Cardiovascular MedicinePsychologyClinical Hemorheology and Microcirculation
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Local properties of quantum chemical systems: the LoProp approach.

2004

A new method is presented, which makes it possible to partition molecular properties like multipole moments and polarizabilities, into atomic and interatomic contributions. The method requires a subdivision of the atomic basis set into occupied and virtual basis functions for each atom in the molecular system. The localization procedure is organized into a series of orthogonalizations of the original basis set, which will have as a final result a localized orthonormal basis set. The new localization procedure is demonstrated to be stable with various basis sets, and to provide physically meaningful localized properties. Transferability of the methyl properties for the alkane series and of t…

Polarisabilitybusiness.industryChemistryGeneral Physics and AstronomyBasis functionQuantum chemistryQuantum mechanicsddc:540Theoretical chemistryPhysics::Atomic and Molecular ClustersPartition (number theory)Molecular momentsOrthonormal basisStatistical physicsSet theoryPhysical and Theoretical ChemistrybusinessMultipole expansionQuantum chemistryBasis setSubdivisionThe Journal of chemical physics
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Excess free energy of nanoparticles in a polymer brush

2008

Abstract We present an efficient method for direct determination of the excess free energy Δ F of a nanoparticle inserted into a polymer brush. In contrast to Widom's insertion method, the present approach can be efficiently implemented by Monte Carlo or Molecular Dynamics methods also in a dense environment. In the present investigation the method is used to determine the free energy penalty Δ F ( R , D ) for placing a spherical particle with an arbitrary radius R at different positions D between the grafting plane and the brush surface. Deep inside the brush, or for dense brushes, one finds Δ F  ∝  R 3 whereas for shallow nanoclusions Δ F  ∝  R 2 , regardless of the particle interaction (…

Polymer brushPolymers and PlasticsNanoinclusionsMonte Carlo methodNanoparticlePolymer brushdigestive systemMolecular physicslaw.inventionMolecular dynamicslawMaterials ChemistryStatistical physicsFree energyNanocolloidsMonte Carlochemistry.chemical_classificationQuantitative Biology::BiomoleculesChemistryOrganic ChemistryBrushPolymerRadiusCondensed Matter::Soft Condensed MatterComputer Science::GraphicsParticlePolymer
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Single-chain conformations in symmetric binary polymer blends: Quantitative comparison between self-consistent field calculations and Monte Carlo sim…

1998

Single-chain properties in a symmetric binary polymer blend are studied by self-consistent field calculations and Monte Carlo simulations. Within the self-consistent field scheme, the statistical mechanics of a cluster of neighboring polymers is solved. Interactions among the polymers of a cluster and composition fluctuations within a cluster are incorporated exactly, a mean field approximation is invoked for intercluster interactions and long-range fluctuations. The results are compared to large scale Monte Carlo simulations for a broad range of chain lengths. While we find nearly quantitative agreement for single chain propertiese.g., the reduction of the chain dimensions of the minority …

Polymers and PlasticsChemistryEntropy (statistical thermodynamics)Organic ChemistryIntermolecular forceMonte Carlo methodStatistical mechanicsMolecular physicsInorganic ChemistryMean field theoryMaterials ChemistryRadius of gyrationPolymer blendStatistical physicsPhase diagram
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New quantum Monte Carlo formulation for modeling trans-polyacetylene properties: specific heat calculation

2004

Abstract In this paper we propose a new hybridization scheme for numerical simulation based on the determinantal quantum Monte Carlo and analytical model to treat the vibration mode of one-dimensional trans -polyacetylene chain. We use both of the extended Hubbard model (EHM) and Peierls–Hubbard model to compute the specific heat for different assumptions. For both the two models, our results indicate that the behavior of the specific heat is characterized by a maximum. We also introduce the effect of dimerization through Peierls–Hubbard model. In this case it is found that the specific heat magnitude is slightly more important when compared to specific heat value found with the EHM case. M…

Polymers and PlasticsComputer simulationHubbard modelChemistryQuantum Monte CarloOrganic ChemistryMonte Carlo methodSize consistency and size extensivityMaterials ChemistryCondensed Matter::Strongly Correlated ElectronsSolitonStatistical physicsGround stateQuantum fluctuationPolymer
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Dynamic Density Functional Theories for Inhomogeneous Polymer Systems Compared to Brownian Dynamics Simulations

2017

Dynamic density functionals (DDFs) are popular tools for studying the dynamical evolution of inhomogeneous polymer systems. Here, we present a systematic evaluation of a set of diffusive DDF theories by comparing their predictions with data from particle-based Brownian dynamics (BD) simulations for two selected problems: Interface broadening in compressible A/B homopolymer blends after a sudden change of the incompatibility parameter, and microphase separation in compressible A:B diblock copolymer melts. Specifically, we examine (i) a local dynamics model, where monomers are taken to move independently from each other, (ii) a nonlocal "chain dynamics" model, where monomers move jointly with…

Polymers and PlasticsFOS: Physical sciences02 engineering and technologyCondensed Matter - Soft Condensed MatterDynamic density01 natural sciencesInorganic Chemistrysymbols.namesakeChain (algebraic topology)0103 physical sciencesMaterials ChemistryStatistical physics010306 general physicsDebyePhysicsCovariance matrixOrganic ChemistryDynamics (mechanics)021001 nanoscience & nanotechnologyCondensed Matter::Soft Condensed MattersymbolsCompressibilityBrownian dynamicsSoft Condensed Matter (cond-mat.soft)Particle0210 nano-technologyMacromolecules
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Conformations, Transverse Fluctuations and Crossover Dynamics of a Semi-Flexible Chain in Two Dimensions

2014

We present a unified scaling description for the dynamics of monomers of a semiflexible chain under good solvent condition in the free draining limit. We consider both the cases where the contour length $L$ is comparable to the persistence length $\ell_p$ and the case $L\gg \ell_p$. Our theory captures the early time monomer dynamics of a stiff chain characterized by $t^{3/4}$ dependence for the mean square displacement(MSD) of the monomers, but predicts a first crossover to the Rouse regime of $t^{2\nu/{1+2\nu}}$ for $\tau_1 \sim \ell_p^3$, and a second crossover to the purely diffusive dynamics for the entire chain at $\tau_2 \sim L^{5/2}$. We confirm the predictions of this scaling descr…

PolymersCrossoverMolecular ConformationGeneral Physics and AstronomyFOS: Physical sciencesMolecular Dynamics SimulationCondensed Matter - Soft Condensed MatterChain (algebraic topology)Statistical physicsPhysics - Biological PhysicsPhysical and Theoretical ChemistryScalingBrownian motionPhysicsPersistence lengthQuantitative Biology::BiomoleculesMathematics::Functional AnalysisModels TheoreticalSolutionsCondensed Matter::Soft Condensed MatterMean squared displacementLennard-Jones potentialBiological Physics (physics.bio-ph)SolventsBrownian dynamicsSoft Condensed Matter (cond-mat.soft)
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