Search results for " Statistics and Probability"

showing 10 items of 117 documents

Singular hyperbolic systems

1999

We construct a class of vector fields on 3-manifolds containing the hyperbolic ones and the geometric Lorenz attractor. Conversely, we shall prove that nonhyperbolic systems in this class resemble the Lorenz attractor: they have Lorenz-like singularities accumulated by periodic orbits and they cannot be approximated by flows with nonhyperbolic critical elements.

Nonlinear Sciences::Chaotic DynamicsMathematics::Dynamical SystemsApplied MathematicsGeneral MathematicsMathematical analysisPhysics::Data Analysis; Statistics and ProbabilityHyperbolic systemsMathematicsProceedings of the American Mathematical Society
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An improved method for measuring muon energy using the truncated mean of dE/dx

2012

Nuclear instruments & methods in physics research / A 703, 190 - 198 (2013). doi:10.1016/j.nima.2012.11.081

Nuclear and High Energy PhysicsParticle physicsPhysics::Instrumentation and DetectorsFOS: Physical sciencesddc:500.2Cherenkov; dE/dx; IceCube detector; Muon energy; Neutrino energy; Truncated mean53001 natural sciencesParticle detectorParticle identificationNuclear physicsdE/dx0103 physical sciencesSpecific energyddc:530CherenkovNeutrino energyInstrumentation and Methods for Astrophysics (astro-ph.IM)010303 astronomy & astrophysicsInstrumentationCherenkov radiationHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsMuonTruncated meanMuon energy010308 nuclear & particles physicsDE/dxPhysics - Data Analysis Statistics and ProbabilityScintillation counterHigh Energy Physics::ExperimentNeutrinoIceCube detectorAstrophysics - High Energy Astrophysical PhenomenaAstrophysics - Instrumentation and Methods for AstrophysicsData Analysis Statistics and Probability (physics.data-an)Lepton
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Identification of photon-tagged jets in the ALICE experiment

2007

30 pp.-- PACS numbers: 25.75.Nq, 24.10.Lx, 25.75.-q, 29.40.Vj.-- Published in: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. Volume 585, Issues 1-2, 21 January 2008, Pages 28-39.-- Final full-text version of the paper available at: http://dx.doi.org/10.1016/j.nima.2007.10.050.

Nuclear and High Energy PhysicsParticle physicselectromagnetic calorimetersPhotonquark-gluon plasmaElectromagnetic calorimetersPhysics::Instrumentation and DetectorsAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesQuark-Gluon plasma01 natural sciencesNuclear physicsData Analysis Statistics and Probability0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Detectors and Experimental TechniquesNuclear Experiment010306 general physicsInstrumentation25.75.Nq - 24.10.Lx - 25.75.-q - 29.40.Vjcomputer.programming_languagePhysicsSpectrometer010308 nuclear & particles physicsHigh-energy gamma rays3. Good healthIdentification (information)Electromagnetic calorimeterPhysics - Data Analysis Statistics and ProbabilityHigh Energy Physics::ExperimentAlice (programming language)computer[PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an]Data Analysis Statistics and Probability (physics.data-an)
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A New Three-Dimensional Track Fit with Multiple Scattering

2017

Modern semiconductor detectors allow for charged particle tracking with ever increasing position resolution. Due to the reduction of the spatial hit uncertainties, multiple Coulomb scattering in the detector layers becomes the dominant source for tracking uncertainties. In this case long distance effects can be ignored for the momentum measurement, and the track fit can consequently be formulated as a sum of independent fits to hit triplets. In this paper we present an analytical solution for a three-dimensional triplet(s) fit in a homogeneous magnetic field based on a multiple scattering model. Track fitting of hit triplets is performed using a linearization ansatz. The momentum resolution…

Nuclear and High Energy PhysicsPhysics - Instrumentation and DetectorsFOS: Physical sciencesTracking (particle physics)01 natural sciencesHigh Energy Physics - Experimentlaw.inventionMomentumHigh Energy Physics - Experiment (hep-ex)OpticsLinearizationlaw0103 physical sciences010306 general physicsColliderInstrumentationAnsatzPhysicsSpectrometer010308 nuclear & particles physicsScatteringbusiness.industryDetectorInstrumentation and Detectors (physics.ins-det)Computational Physics (physics.comp-ph)Computational physicsPhysics - Data Analysis Statistics and ProbabilitybusinessPhysics - Computational PhysicsData Analysis Statistics and Probability (physics.data-an)
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Data Blinding for the nEDM Experiment at PSI

2020

Psychological bias towards, or away from, prior measurements or theory predictions is an intrinsic threat to any data analysis. While various methods can be used to try to avoid such a bias, e.g. actively avoiding looking at the result, only data blinding is a traceable and trustworthy method that can circumvent the bias and convince a public audience that there is not even an accidental psychological bias. Data blinding is nowadays a standard practice in particle physics, but it is particularly difficult for experiments searching for the neutron electric dipole moment (nEDM), as several cross measurements, in particular of the magnetic field, create a self-consistent network into which it …

Nuclear and High Energy Physicsdata analysis methodPhysics - Instrumentation and DetectorsOffset (computer science)BlindingNeutron electric dipole momentOther Fields of PhysicsFOS: Physical sciencesSeparate analysis[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]nucl-ex01 natural sciencesHigh Energy Physics - Experimentphysics.data-anHigh Energy Physics - Experiment (hep-ex)0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear Physics - Experiment[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Nuclear Experiment (nucl-ex)Detectors and Experimental Techniques010306 general physicsNuclear Experimentphysics.ins-detPhysicsn: electric moment010308 nuclear & particles physicshep-exProbability and statisticsInstrumentation and Detectors (physics.ins-det)Data setSpecial Article - New Tools and TechniquesTrustworthinessPhysics - Data Analysis Statistics and ProbabilityAlgorithmData Analysis Statistics and Probability (physics.data-an)Particle Physics - Experiment[PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis Statistics and Probability [physics.data-an]
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A fast algorithm for muon track reconstruction and its application to the ANTARES neutrino telescope.

2011

An algorithm is presented, that provides a fast and robust reconstruction of neutrino induced upward-going muons and a discrimination of these events from downward-going atmospheric muon background in data collected by the ANTARES neutrino telescope. The algorithm consists of a hit merging and hit selection procedure followed by fitting steps for a track hypothesis and a point-like light source. It is particularly well-suited for real time applications such as online monitoring and fast triggering of optical follow-up observations for multi-messenger studies. The performance of the algorithm is evaluated with Monte Carlo simulations and various distributions are compared with that obtained …

Optical telescopesAMANDASelection proceduresRobust reconstructionMonte Carlo methodAtmospheric muonsReal-time applicationNeutrino telescope01 natural sciencesHigh Energy Physics - ExperimentFast algorithmsHigh Energy Physics - Experiment (hep-ex)High Energy Astrophysical Phenomena (astro-ph.HE)PhysicsDetectorMonte Carlo SimulationMonte Carlo methodsComputer simulationLIGHTddc:540Física nuclearNeutrinoAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical PhenomenaAlgorithmAlgorithmsFLUXOnline monitoring[PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Astrophysics::High Energy Astrophysical PhenomenaNeutrino telescopeFOS: Physical sciencesTrack reconstructionOptical telescopeNuclear physicsMuon tracks0103 physical sciencesAngular resolutionLight sources010306 general physicsOptical follow-upDETECTORInstrumentation and Methods for Astrophysics (astro-ph.IM)MuonANTARESneutrino telescope; track reconstruction010308 nuclear & particles physicsCharged particlesTrack (disk drive)track reconstructionAstronomy and Astrophysics[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Physics - Data Analysis Statistics and ProbabilityFISICA APLICADAATMOSPHERIC NEUTRINOSNeutrino telescopesSYSTEMData Analysis Statistics and Probability (physics.data-an)
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Correlation, hierarchies, and networks in financial markets

2010

We discuss some methods to quantitatively investigate the properties of correlation matrices. Correlation matrices play an important role in portfolio optimization and in several other quantitative descriptions of asset price dynamics in financial markets. Specifically, we discuss how to define and obtain hierarchical trees, correlation based trees and networks from a correlation matrix. The hierarchical clustering and other procedures performed on the correlation matrix to detect statistically reliable aspects of the correlation matrix are seen as filtering procedures of the correlation matrix. We also discuss a method to associate a hierarchically nested factor model to a hierarchical tre…

Organizational Behavior and Human Resource ManagementEconomics and EconometricsPhysics - Physics and SocietyCorrelation based networkKullback–Leibler divergenceStability (learning theory)FOS: Physical sciencesKullback–Leibler distancePhysics and Society (physics.soc-ph)computer.software_genreHierarchical clusteringFOS: Economics and businessCorrelationMultivariate analysis Hierarchical clustering Correlation based networks Bootstrap validation Factor models Kullback–Leibler distancePortfolio Management (q-fin.PM)Bootstrap validationQuantitative Finance - Portfolio ManagementMathematicsFactor analysisStatistical Finance (q-fin.ST)Covariance matrixMultivariate analysiQuantitative Finance - Statistical FinanceHierarchical clusteringFactor modelTree (data structure)Physics - Data Analysis Statistics and ProbabilityData miningPortfolio optimizationcomputerData Analysis Statistics and Probability (physics.data-an)
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"Table 2" of "Measurement of the $\boldsymbol{W}$ boson production charge asymmetry in $\boldsymbol{p\bar{p}\rightarrow W+X \rightarrow e\nu +X}$ eve…

2014

Correlation coefficients between central values of asymmetry in different $|y_W|$ bins.

P P --> W+ XInclusiveProton-Proton ScatteringElectron productionCORRAsymmetry MeasurementP P --> W- X7000.0High Energy Physics::ExperimentAstrophysics::Cosmology and Extragalactic AstrophysicsPhysics::Data Analysis; Statistics and ProbabilityW ProductionASYM
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Information geometric complexity of entropic motion on curved statistical manifolds

2013

Physical systems behave according to their underlying dynamical equations which, in turn, can be identified from experimental data. Explaining data requires selecting mathematical models that best capture the data regularities. Identifying dynamical equations from the available data and statistical model selection are both very difficult tasks. Motivated by these fundamental links among physical systems, dynamical equations, experimental data and statistical modeling, we discuss in this invited Contribution our information geometric measure of complexity of geodesic paths on curved statistical manifolds underlying the entropic dynamics of classical physical systems described by probability …

Physics - Data Analysis Statistics and ProbabilityFOS: Physical sciencesData Analysis Statistics and Probability (physics.data-an)
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Grain - A Java Analysis Framework for Total Data Readout

2007

Grain is a data analysis framework developed to be used with the novel Total Data Readout data acquisition system. In Total Data Readout all the electronics channels are read out asynchronously in singles mode and each data item is timestamped. Event building and analysis has to be done entirely in the software post-processing the data stream. A flexible and efficient event parser and the accompanying software framework have been written entirely in Java. The design and implementation of the software are discussed along with experiences gained in running real-life experiments.

Physics - Data Analysis Statistics and ProbabilityFOS: Physical sciencesNuclear Experiment (nucl-ex)Nuclear ExperimentData Analysis Statistics and Probability (physics.data-an)
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