Search results for " mathematical physics"

showing 10 items of 396 documents

A Symplectic Kovacic's Algorithm in Dimension 4

2018

Let $L$ be a $4$th order differential operator with coefficients in $\mathbb{K}(z)$, with $\mathbb{K}$ a computable algebraically closed field. The operator $L$ is called symplectic when up to rational gauge transformation, the fundamental matrix of solutions $X$ satisfies $X^t J X=J$ where $J$ is the standard symplectic matrix. It is called projectively symplectic when it is projectively equivalent to a symplectic operator. We design an algorithm to test if $L$ is projectively symplectic. Furthermore, based on Kovacic's algorithm, we design an algorithm that computes Liouvillian solutions of projectively symplectic operators of order $4$. Moreover, using Klein's Theorem, algebraic solution…

[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS]010102 general mathematicsDynamical Systems (math.DS)Differential operator01 natural sciencesSymplectic matrixDifferential Galois theory34M15Operator (computer programming)Fundamental matrix (linear differential equation)Mathematics - Symplectic Geometry0103 physical sciencesFOS: MathematicsSymplectic Geometry (math.SG)010307 mathematical physicsMathematics - Dynamical Systems0101 mathematicsAlgebraically closed fieldAlgebraic numberMathematics::Symplectic GeometryAlgorithmMathematicsSymplectic geometryProceedings of the 2018 ACM International Symposium on Symbolic and Algebraic Computation
researchProduct

Nonlinear multipliers and applications

1985

International audience

[MATH.MATH-RT]Mathematics [math]/Representation Theory [math.RT]010308 nuclear & particles physicsGeneral Mathematics81C4001 natural sciences[ MATH.MATH-RT ] Mathematics [math]/Representation Theory [math.RT]Nonlinear system0103 physical sciencesApplied mathematics010307 mathematical physics22E45[MATH.MATH-RT] Mathematics [math]/Representation Theory [math.RT]ComputingMilieux_MISCELLANEOUSMathematicsPacific Journal of Mathematics
researchProduct

Ideaux à gauche dans les quotients simples de l'algèbre enveloppante de sl(2)

1973

International audience

[MATH.MATH-RT]Mathematics [math]/Representation Theory [math.RT]General Mathematics010102 general mathematics0103 physical sciences010307 mathematical physics0101 mathematics[MATH.MATH-RT] Mathematics [math]/Representation Theory [math.RT]01 natural sciencesComputingMilieux_MISCELLANEOUSMathematics[ MATH.MATH-RT ] Mathematics [math]/Representation Theory [math.RT]
researchProduct

Comparison between simulated and observed LHC beam backgrounds in the ATLAS experiment at E beam =4 TeV

2018

Results of dedicated Monte Carlo simulations of beam-induced background (BIB) in the ATLAS experiment at the Large Hadron Collider (LHC) are presented and compared with data recorded in 2012. During normal physics operation this background arises mainly from scattering of the 4 TeV protons on residual gas in the beam pipe. Methods of reconstructing the BIB signals in the ATLAS detector, developed and implemented in the simulation chain based on the FLUKA Monte Carlo simulation package, are described. The interaction rates are determined from the residual gas pressure distribution in the LHC ring in order to set an absolute scale on the predicted rates of BIB so that they can be compared qua…

background [beam]background: inducedPhysics::Instrumentation and DetectorsCiencias FísicasMonte Carlo method01 natural sciencesHigh Energy Physics - ExperimentSubatomär fysik//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)beam lossesSubatomic Physicsscattering [p p][PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]and programsInstrumentationQCMathematical PhysicsPhysicsLarge Hadron ColliderRadiation calculationsAtlas (topology)Accelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)DetectorATLAS experimentSettore FIS/01 - Fisica SperimentaleSimulation methods and programBeams (radiation) Accelerator modelling and simulations (multi-particle dynamics;; single-particle dynamics); Radiation calculations; Simulation methods; and programs; DETECTOR; SEARCHObservableAccelerator modelling and simulations (multi-particle dynamicMonte Carlo [numerical calculations]ATLASNuclear & Particles PhysicsAccelerator modelling and simulationsCERN LHC Coll collimators beam: backgroundcolliding beams [p p]numerical calculations: Monte CarloCIENCIAS NATURALES Y EXACTASParticle Physics - Experimentp p: scatteringAccelerator modelling and simulations (multi-particle dynamics; Radiation calculations; Simulation methods and programs; single-particle dynamics); Instrumentation; Mathematical Physics530 PhysicsCiências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesFísica de Partículas y CamposAccelerator Physics and InstrumentationNuclear physicsFLUKAsingle-particle dynamics)ATLAS LHC High Energy PhysicsHIGH ENERGY PHYSICSSEARCH0103 physical sciencesddc:610010306 general physicsAbsolute scaleDETECTORpressure [gas]Science & Technology010308 nuclear & particles physicsScatteringhep-exRadiation calculationscatteringAcceleratorfysik och instrumentering//purl.org/becyt/ford/1.3 [https]ghostAccelerator modelling and simulations (multi-particle dynamicsSimulation methodscorrelationinduced [background]Experimental High Energy Physicsgas: pressureSimulation methods and programsp p: colliding beamsexperimental results
researchProduct

Emergent ultrafast phenomena in correlated oxides and heterostructures

2017

The possibility of investigating the dynamics of solids on timescales faster than the thermalization of the internal degrees of freedom has disclosed novel non-equilibrium phenomena that have no counterpart at equilibrium. Transition metal oxides (TMOs) provide an interesting playground in which the correlations among the charges in the metal $d$-orbitals give rise to a wealth of intriguing electronic and thermodynamic properties involving the spin, charge, lattice and orbital orders. Furthermore, the physical properties of TMOs can be engineered at the atomic level, thus providing the platform to investigate the transport phenomena on timescales of the order of the intrinsic decoherence ti…

coherent transportFOS: Physical sciences02 engineering and technologySettore FIS/03 - FISICA DELLA MATERIA01 natural sciencesCondensed Matter - Strongly Correlated ElectronsPhysics and Astronomy (all)electronic coherenceTransition metalAtomic and Molecular PhysicsLattice (order)0103 physical sciencesMesoscale and Nanoscale Physics (cond-mat.mes-hall)coherent transport; electronic coherence; heterostructures; photon harvesting; pump probe; transition metal oxides; ultrafast dynamics; Atomic and Molecular Physics and Optics; Mathematical Physics; Condensed Matter Physics; Physics and Astronomy (all)transition metal oxides010306 general physicsAnisotropyQuantumMathematical PhysicsPhysicsCondensed Matter - Materials ScienceCondensed Matter - Mesoscale and Nanoscale PhysicsStrongly Correlated Electrons (cond-mat.str-el)Mott insulatorMaterials Science (cond-mat.mtrl-sci)Heterojunction021001 nanoscience & nanotechnologyCondensed Matter PhysicsAtomic and Molecular Physics and Opticsultrafast dynamicsThermalisationheterostructuresChemical physicsphoton harvestingpump probeand Optics0210 nano-technologyTransport phenomenacoherent transport; electronic coherence; heterostructures; photon harvesting; pump probe; transition metal oxides; ultrafast dynamics;
researchProduct

Performance of $b$-Jet Identification in the ATLAS Experiment

2016

We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF, DNSRC and Lundbeck Foundation, Denmark; IN2P3-CNRS, CEA-DSM/IRFU, France; GNSF, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF, I-CORE and Benoziyo Center, Israel; INFN, Italy; MEXT an…

detector-systems performancePerformance of High Energy Physics Detectorsecondary [vertex]Elementary particle01 natural sciencesPARTONlaw.inventionSubatomär fysikCHANNELcluster findingscattering [p p]impact parameterGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)протон-протонные столкновенияQBLarge detector-systems performanceHigh energy physics detectorLarge Hadron ColliderLarge detector systems for particle and astroparticle physics; Large detector-systems performance; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; Instrumentation; Mathematical Physicstrack data analysisQUARK PAIR PRODUCTIONbottom [jet]CERN LHC CollPattern recognition cluster finding calibration and fitting method7000 GeV-cmscolliding beams [p p]performanceHADRONIC COLLISIONSCiências Naturais::Ciências FísicasLarge detectorFitting methodHigh energy physicATLAS LHC High Energy Physics510 MathematicsmuonDISTRIBUTIONSUncertainty analysis Astroparticle physicHigh Energy Physics010306 general physicsSystematic uncertainties AlgorithmsAstroparticle physicsCalibration and fitting methodsScience & Technology010308 nuclear & particles physicsLarge detector systems for particle and astroparticle physicsParticle acceleratorRangingPerformance of High Energy PhysicsCOLLIDERScorrelationExperimental High Energy PhysicsPerformance of High Energy Physics DetectorshadronATLAS детекторБольшой адронный коллайдерcharm [jet]Elementary particleHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)lawSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Detectors and Experimental TechniquesInstrumentationUncertainty analysisMathematical PhysicsPhysicsPattern recognition cluster finding calibration and fitting methods4. EducationATLAS experimentSettore FIS/01 - Fisica SperimentaleDetectorsflavor [jet]calibration and fitting methodsATLASLarge Hadron ColliderLarge detector systems for particle and astroparticle physics; Large; detector-systems performance; Pattern recognition cluster finding; calibration and fitting methods; Performance of High Energy Physics; Detectors; PRODUCTION CROSS-SECTION; QUARK PAIR PRODUCTION; ROOT-S=7 TEV; PARTON; DISTRIBUTIONS; HADRONIC COLLISIONS; MATRIX-ELEMENTS; LHC; COLLIDERS; DETECTOR; CHANNEL8. Economic growthCalibrationparticle identification [bottom]LHCImpact parameterParticle Physics - ExperimentParticle physicsdata analysis method530 Physics:Ciências Físicas [Ciências Naturais]FOS: Physical sciences530MATRIX-ELEMENTSparticle identification [charm]on-line [trigger]Pattern recognition0103 physical sciencesComplementary methodddc:610DETECTORROOT-S=7 TEVCluster findingFísicaLarge detector systems for particle and astroparticle physics; Large detector-systems performance; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics DetectorsPattern recognition systemcalibrationtracksPRODUCTION CROSS-SECTIONefficiencyHadronLarge detector systems for particle and astroparticle physicLargeHigh Energy Physics::ExperimentStatistical correlationstatisticalexperimental results
researchProduct

Monitoring and data quality assessment of the ATLAS liquid argon calorimeter

2014

The liquid argon calorimeter is a key component of the ATLAS detector installed at the CERN Large Hadron Collider. The primary purpose of this calorimeter is the measurement of electron and photon kinematic properties. It also provides a crucial input for measuring jets and missing transverse momentum. An advanced data monitoring procedure was designed to quickly identify issues that would affect detector performance and ensure that only the best quality data are used for physics analysis. This article presents the validation procedure developed during the 2011 and 2012 LHC data-taking periods, in which more than 98% of the proton-proton luminosity recorded by ATLAS at a centre-of-mass ener…

interaction [p nucleus]data acquisitionPhysics::Instrumentation and DetectorsCiencias FísicasNuclear engineeringinteraction [p p]7. Clean energy01 natural sciencesHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)Particle identification methodsData acquisitionParticle Identification Methodsperformance [monitoring]Naturvetenskap[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]InstrumentationQCMathematical PhysicsPhysicsLarge Hadron ColliderLuminosity (scattering theory)Settore FIS/01 - Fisica SperimentaleDetectorATLASCalorimeterCERN LHC Collmedicine.anatomical_structurePhysical SciencesComputingMethodologies_DOCUMENTANDTEXTPROCESSINGLHCNatural SciencesCIENCIAS NATURALES Y EXACTASParticle Physics - ExperimentnoiseCiências Naturais::Ciências Físicas530 Physics:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesCalorimeters; Large detector systems for particle and astroparticle physics; Particle identification methods; Instrumentation; Mathematical Physics530Nuclear physicsParticle identification methodCalorimetersParticle identification methods; Calorimeters; Large detector systems for particle and astroparticle physicsscattering [heavy ion]Atlas (anatomy)0103 physical sciencesCalibrationmedicineFysikHigh Energy Physicsddc:610010306 general physicsCalorimeters; Large detector systems for particle and astroparticle physics; Particle identification methodsCiencias ExactasCalorimeterleadScience & TechnologyLarge detector systems for particle and astroparticle physics010308 nuclear & particles physicsFísica//purl.org/becyt/ford/1.3 [https]calibrationAstronomíamissing-energy [transverse momentum]Data qualityExperimental High Energy PhysicsLarge detector systems for particle and astroparticle physicPhysics::Accelerator PhysicsHigh Energy Physics::ExperimentLarge Detector Systems for Particle and Astroparticle Physicsliquid argon [calorimeter]
researchProduct

Differential of metric valued Sobolev maps

2020

We introduce a notion of differential of a Sobolev map between metric spaces. The differential is given in the framework of tangent and cotangent modules of metric measure spaces, developed by the first author. We prove that our notion is consistent with Kirchheim's metric differential when the source is a Euclidean space, and with the abstract differential provided by the first author when the target is $\mathbb{R}$.

metric measure spacesPure mathematicsFunction spaces; Metric measure spaces; Sobolev spaces01 natural sciencesMetric measure spacesfunction spacesSettore MAT/05 - Analisi Matematica0103 physical sciencesFOS: MathematicsTrigonometric functions0101 mathematicsMathematicsEuclidean space010102 general mathematicsTangentmetriset avaruudetFunctional Analysis (math.FA)Mathematics - Functional AnalysisSobolev spaceMetric spaceSobolev spacesFunction spaces010307 mathematical physicsfunktionaalianalyysiMetric differentialAnalysisJournal of Functional Analysis
researchProduct

Uniformization of two-dimensional metric surfaces

2014

We establish uniformization results for metric spaces that are homeomorphic to the Euclidean plane or sphere and have locally finite Hausdorff 2-measure. Applying the geometric definition of quasiconformality, we give a necessary and sufficient condition for such spaces to be QC equivalent to the Euclidean plane, disk, or sphere. Moreover, we show that if such a QC parametrization exists, then the dilatation can be bounded by 2. As an application, we show that the Euclidean upper bound for measures of balls is a sufficient condition for the existence of a 2-QC parametrization. This result gives a new approach to the Bonk-Kleiner theorem on parametrizations of Ahlfors 2-regular spheres by qu…

metric surfacesPure mathematicsMathematics - Complex VariablesGeneral Mathematics010102 general mathematicsPrimary 30L10 Secondary 30C65 28A75 51F99 52A38Hausdorff spaceMetric Geometry (math.MG)01 natural sciencesUpper and lower boundsMetric spaceMathematics - Metric GeometryBounded function0103 physical sciencesMetric (mathematics)Euclidean geometryFOS: MathematicsMathematics::Metric Geometry010307 mathematical physicsComplex Variables (math.CV)0101 mathematicsUniformization (set theory)ParametrizationMathematicsInventiones mathematicae
researchProduct

Quantum Non-Markovian Piecewise Dynamics from Collision Models

2017

Recently, a large class of quantum non-Markovian piecewise dynamics for an open quantum system obeying closed evolution equations has been introduced [B. Vacchini, Phys. Rev. Lett. 117, 230401 (2016)]. These dynamics have been defined in terms of a waiting-time distribution between quantum jumps, along with quantum maps describing the effect of jumps and the system's evolution between them. Here, we present a quantum collision model with memory, whose reduced dynamics in the continuous-time limit reproduces the above class of non-Markovian piecewise dynamics, thus providing an explicit microscopic realization.

non-Markovian dynamicsStatistics and ProbabilityLindblad equationFOS: Physical sciencesMarkov processnon-Markovian dynamic01 natural sciences010305 fluids & plasmasOpen quantum systemsymbols.namesake0103 physical sciencesLimit (mathematics)Statistical physics010306 general physicsQuantumMathematical PhysicsPhysicsQuantum PhysicsStatistical and Nonlinear PhysicsCollisioncollision model; Lindblad equation; non-Markovian dynamics; Open quantum system; Statistical and Nonlinear Physics; Statistics and Probability; Mathematical PhysicsDistribution (mathematics)Open quantum systemPiecewisesymbolscollision modelQuantum Physics (quant-ph)Realization (systems)Statistical and Nonlinear Physic
researchProduct