Search results for "p-p"

showing 10 items of 3659 documents

Introduction to the GiNaC Framework for Symbolic Computation within the C++ Programming Language

2002

AbstractThe traditional split into a low level language and a high level language in the design of computer algebra systems may become obsolete with the advent of more versatile computer languages. We describe GiNaC, a special-purpose system that deliberately denies the need for such a distinction. It is entirely written in C++and the user can interact with it directly in that language. It was designed to provide efficient handling of multivariate polynomials, algebras and special functions that are needed for loop calculations in theoretical quantum field theory. It also bears some potential to become a more general purpose symbolic package.

Computer Science - Symbolic ComputationI.1.3FOS: Computer and information sciencesFor loopTheoretical computer scienceAlgebra and Number TheoryFOS: Physical sciencesI.1.1; I.1.3Symbolic Computation (cs.SC)Computational Physics (physics.comp-ph)Symbolic computationI.1.1High Energy Physics - PhenomenologyComputational MathematicsHigh Energy Physics - Phenomenology (hep-ph)General purposeHigh-level programming languageSpecial functionsFourth-generation programming languagePhysics - Computational PhysicsC programming languageLow-level programming languageMathematicsJournal of Symbolic Computation
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Neutral-Current Neutrino-Nucleus Scattering off Xe Isotopes

2018

Large liquid xenon detectors aiming for dark matter direct detection will soon become viable tools also for investigating neutrino physics. Information on the effects of nuclear structure in neutrino-nucleus scattering can be important in distinguishing neutrino backgrounds in such detectors. We perform calculations for differential and total cross sections of neutral-current neutrino scattering off the most abundant xenon isotopes. The nuclear structure calculations are made in the nuclear shell model for elastic scattering, and also in the quasiparticle random-phase approximation (QRPA) and microscopic quasiparticle phonon model (MQPM) for both elastic and inelastic scattering. Using suit…

Computer Science::Machine LearningNuclear and High Energy PhysicsArticle SubjectNuclear TheoryPhysics::Instrumentation and DetectorsSolar neutrinoAstrophysics::High Energy Astrophysical PhenomenaDark matterNuclear TheoryFOS: Physical sciencesInelastic scatteringComputer Science::Digital Libraries01 natural sciencesNuclear Theory (nucl-th)Nuclear physicsStatistics::Machine LearningHigh Energy Physics - Phenomenology (hep-ph)neutrino physics0103 physical sciencesIsotopes of xenonsironta010306 general physicsPhysicsElastic scatteringneutrino-nucleus scatteringta114010308 nuclear & particles physicsScatteringHigh Energy Physics::PhenomenologyNuclear shell modelneutriinotlcsh:QC1-999High Energy Physics - PhenomenologyComputer Science::Mathematical SoftwareHigh Energy Physics::ExperimentNeutrinolcsh:PhysicsAdvances in High Energy Physics
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Magnetic fields in heavy ion collisions: flow and charge transport

2020

At the earliest times after a heavy-ion collision, the magnetic field created by the spectator nucleons will generate an extremely strong, albeit rapidly decreasing in time, magnetic field. The impact of this magnetic field may have detectable consequences, and is believed to drive anomalous transport effects like the Chiral Magnetic Effect (CME). We detail an exploratory study on the effects of a dynamical magnetic field on the hydrodynamic medium created in the collisions of two ultrarelativistic heavy-ions, using the framework of numerical ideal MagnetoHydroDynamics (MHD) with the ECHO-QGP code. In this study, we consider a magnetic field captured in a conducting medium, where the conduc…

Computer Science::Machine LearningParticle physicsPhysics and Astronomy (miscellaneous)Nuclear Theoryheavy ion collisionsFOS: Physical scienceslcsh:Astrophysicsmagnetic fieldshiukkasfysiikkamagneettikentätComputer Science::Digital Libraries01 natural sciencesElectric charge530Nuclear Theory (nucl-th)Statistics::Machine LearningHigh Energy Physics - Phenomenology (hep-ph)0103 physical scienceslcsh:QB460-466ddc:530lcsh:Nuclear and particle physics. Atomic energy. RadioactivityNuclear Experiment (nucl-ex)010306 general physicsNuclear ExperimentEngineering (miscellaneous)Nuclear ExperimentPhysicsCharge conservation010308 nuclear & particles physicsElliptic flowCharge (physics)FermionMagnetic fieldDipoleHigh Energy Physics - PhenomenologyQuantum electrodynamicsComputer Science::Mathematical Softwarelcsh:QC770-798MagnetohydrodynamicsThe European Physical Journal C
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Approximate 3-Dimensional Electrical Impedance Imaging

2001

We discuss a new approach to three-dimensional electrical impedance imaging based on a reduction of the information to be demanded from a reconstruction algorithm. Images are obtained from a single measurement by suitably simplifying the geometry of the measuring chamber and by restricting the nature of the object to be imaged and the information required from the image. In particular we seek to establish the existence or non-existence of a single object (or a small number of objects) in a homogeneous background and the location of the former in the (x,y)-plane defined by the measuring electrodes. Given in addition the conductivity of the object rough estimates of its position along the z-a…

Computer scienceAcousticsSingle measurementGeneral Physics and AstronomyFOS: Physical sciencesReconstruction algorithmComputational Physics (physics.comp-ph)Object (computer science)Electrical impedance imagingPhysics - Medical PhysicsImage (mathematics)Reduction (complexity)HomogeneousPosition (vector)Medical Physics (physics.med-ph)Physics - Computational Physics
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The promise of spintronics for unconventional computing

2021

Novel computational paradigms may provide the blueprint to help solving the time and energy limitations that we face with our modern computers, and provide solutions to complex problems more efficiently (with reduced time, power consumption and/or less device footprint) than is currently possible with standard approaches. Spintronics offers a promising basis for the development of efficient devices and unconventional operations for at least three main reasons: (i) the low-power requirements of spin-based devices, i.e., requiring no standby power for operation and the possibility to write information with small dynamic energy dissipation, (ii) the strong nonlinearity, time nonlocality, and/o…

Computer scienceFOS: Physical sciencesApplied Physics (physics.app-ph)02 engineering and technology01 natural sciencesQuantum nonlocalityAffordable and Clean EnergyBlueprintMesoscale and Nanoscale Physics (cond-mat.mes-hall)0103 physical sciencescond-mat.mes-hallElectronic engineeringHardware_ARITHMETICANDLOGICSTRUCTURESStandby powerApplied Physics010302 applied physicsSpintronicsCondensed Matter - Mesoscale and Nanoscale PhysicsMechanical EngineeringReservoir computingPhysics - Applied PhysicsMaterials EngineeringPhysik (inkl. Astronomie)Dissipation021001 nanoscience & nanotechnologyCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsCMOS integrated circuits; Computation theory; Energy dissipation; Green computing; Spin fluctuations; Spintronics; Tunnel junctionsCMOS0210 nano-technologyUnconventional computingphysics.app-ph
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Non-equilibrium Markov state modeling of periodically driven biomolecules

2019

Molecular dynamics simulations allow to study the structure and dynamics of single biomolecules in microscopic detail. However, many processes occur on time scales beyond the reach of fully atomistic simulations and require coarse-grained multiscale models. While systematic approaches to construct such models have become available, these typically rely on microscopic dynamics that obey detailed balance. In vivo, however, biomolecules are constantly driven away from equilibrium in order to perform specific functions and thus break detailed balance. Here we introduce a method to construct Markov state models for systems that are driven through periodically changing one (or several) external p…

Computer scienceFOS: Physical sciencesGeneral Physics and AstronomyMarkov processMolecular Dynamics Simulation010402 general chemistry01 natural sciencesMolecular dynamicssymbols.namesake0103 physical sciencesPhysics - Biological PhysicsStatistical physicsPhysical and Theoretical ChemistryCondensed Matter - Statistical Mechanicschemistry.chemical_classificationQuantitative Biology::BiomoleculesStatistical Mechanics (cond-mat.stat-mech)010304 chemical physicsMarkov chainBiomoleculeMolecular biophysicsDetailed balanceDipeptidesComputational Physics (physics.comp-ph)Markov Chains0104 chemical sciencesModels ChemicalchemistryBiological Physics (physics.bio-ph)Benchmark (computing)symbolsState (computer science)Physics - Computational PhysicsThe Journal of Chemical Physics
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Optical and dielectric properties of MoO 3 nanosheets for van der Waals heterostructures

2021

Two-dimensional (2D) insulators are a key element in the design and fabrication of van der Waals heterostructures. They are vital as transparent dielectric spacers whose thickness can influence both the photonic, electronic, and optoelectronic properties of 2D devices. Simultaneously, they provide protection of the active layers in the heterostructure. For these critical roles, hexagonal Boron Nitride (hBN) is the dominant choice due to its large bandgap, atomic flatness, low defect density, and encapsulation properties. However, the broad catalogue of 2D insulators offers exciting opportunities to replace hBN in certain applications that require transparent thin layers with additional opti…

Condensed Matter - Materials ScienceBirefringenceMaterials scienceThin layersPhysics and Astronomy (miscellaneous)Band gapbusiness.industryPhysics::OpticsMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesHeterojunctionPhysics - Applied PhysicsDielectricApplied Physics (physics.app-ph)Condensed Matter::Materials ScienceSemiconductorOptoelectronicsPhotonicsbusinessRefractive indexApplied Physics Letters
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Parallelization of Cellular Automata for Surface Reactions

2002

We present a parallel implementation of cellular automata to simulate chemical reactions on surfaces. The scaling of the computer time with the number of processors for this parallel implementation is quite close to the ideal T/P, where T is the computer time used for one single processor and P the number of processors. Two examples are presented to test the algorithm, the simple A+B->0 model and a realistic model for CO oxidation on Pt(110). By using large parallel simulations, it is possible to derive scaling laws which allow us to extrapolate to even larger system sizes and faster diffusion coefficients allowing us to make direct comparisons with experiments.

Condensed Matter - Materials ScienceCellular Automata and Lattice Gases (nlin.CG)Materials Science (cond-mat.mtrl-sci)FOS: Physical sciencesPattern Formation and Solitons (nlin.PS)Computational Physics (physics.comp-ph)Nonlinear Sciences - Cellular Automata and Lattice GasesNonlinear Sciences - Pattern Formation and SolitonsPhysics - Computational Physics
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Single device offset-free magnetic field sensing principle with tunable sensitivity and linear range based on spin-orbit-torques

2023

We propose a novel device concept using spin-orbit-torques to realize a magnetic field sensor, where we eliminate the sensor offset using a differential measurement concept. We derive a simple analytical formulation for the sensor signal and demonstrate its validity with numerical investigations using macrospin simulations. The sensitivity and the measurable linear sensing range in the proposed concept can be tuned by either varying the effective magnetic anisotropy or by varying the magnitude of the injected currents. We show that undesired perturbation fields normal to the sensitive direction preserve the zero-offset property and only slightly modulate the sensitivity of the proposed sens…

Condensed Matter - Materials ScienceCondensed Matter - Mesoscale and Nanoscale PhysicsMesoscale and Nanoscale Physics (cond-mat.mes-hall)Materials Science (cond-mat.mtrl-sci)FOS: Physical sciencesComputational Physics (physics.comp-ph)Physics - Computational Physics
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Exploring the behavior of vanadium under high-pressure and high-temperature conditions

2019

We report a combined experimental and theoretical study of the melting curve and the structural behavior of vanadium under extreme pressure and temperature. We performed powder x-ray diffraction experiments up to 120 GPa and 4000 K, determining the phase boundary of the bcc-to-rhombohedral transition and melting temperatures at different pressures. Melting temperatures have also been established from the observation of temperature plateaus during laser heating, and the results from the density-functional theory calculations. Results obtained from our experiments and calculations are fully consistent and lead to an accurate determination of the melting curve of vanadium. These results are di…

Condensed Matter - Materials ScienceCondensed Matter::Materials ScienceCondensed Matter::SuperconductivityMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesCondensed Matter::Strongly Correlated ElectronsPhysics - Applied PhysicsApplied Physics (physics.app-ph)
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