Search results for "Data analysis."

showing 10 items of 377 documents

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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The ALICE Transition Radiation Detector: Construction, operation, and performance

2018

The Transition Radiation Detector (TRD) was designed and built to enhance the capabilities of the ALICE detector at the Large Hadron Collider (LHC). While aimed at providing electron identification and triggering, the TRD also contributes significantly to the track reconstruction and calibration in the central barrel of ALICE. In this paper the design, construction, operation, and performance of this detector are discussed. A pion rejection factor of up to 410 is achieved at a momentum of 1 GeV/$c$ in p-Pb collisions and the resolution at high transverse momentum improves by about 40% when including the TRD information in track reconstruction. The triggering capability is demonstrated both …

Physics - Instrumentation and Detectors:Kjerne- og elementærpartikkelfysikk: 431 [VDP]TRPhysics::Instrumentation and DetectorsCOLLIDING BEAM EXPERIMENT; ELECTRON IDENTIFICATION; DRIFT CHAMBERS; TRD PROTOTYPES; ENERGY-LOSS; GEV/C; COLLISIONS; PIONSparticle identification [electron]Ionisation energy loTracking (particle physics)Transition radiation detector ; Multi-wire proportional drift chamber ; Fibre/foam sandwich radiator ; Xenon-based gas mixture ; Tracking ; Ionisation energy loss ; dE/dx ; TR ; Electron-pion identification ; Neural network ; Trigger01 natural sciencesParticle identificationdesign [detector]ALICEDetectors and Experimental Techniquesmomentum resolutionNuclear Experimentphysics.ins-detInstrumentationPhysicsPROTOTYPESLarge Hadron Collidertransition radiation detector; multi-wire proportional drift chamber;; fibre/foam sandwich radiator; Xenon-based gas mixture; tracking;; Ionisation energy loss; dE/dx; TR; electron-pion identification; Neural; network; trigger; COLLIDING BEAM EXPERIMENT; ELECTRON IDENTIFICATION; DRIFT CHAMBERS; TRD; PROTOTYPES; ENERGY-LOSS; GEV/C; COLLISIONS; PIONStrack data analysisTrackingPIONSDetectorVDP::Kjerne- og elementærpartikkelfysikk: 431Instrumentation and Detectors (physics.ins-det)trackingtransition radiation detector:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]ddc:PRIRODNE ZNANOSTI. Fizika.Xenon-based gas mixtureTransition radiation detector:Nuclear and elementary particle physics: 431 [VDP]VDP::Nuclear and elementary particle physics: 431GEV/Cmulti-wire proportional drift chamberperformanceParticle physicsNuclear and High Energy PhysicsCOLLISIONSelectron-pion identificationneural networkInstrumentationFOS: Physical sciencesTransition radiation detector; Multi-wire proportional drift chamber; Fibre/foam sandwich radiator; Xenon-based gas mixture; Tracking; Ionisation energy loss; dE/dx; TR; Electron-pion identification; Neural network; Trigger114 Physical sciencesMomentumNuclear physicsionisation energy loss0103 physical sciencesdE/dxDRIFT CHAMBERSdE/dx Electron-pion identification Fibre/foam sandwich radiator Ionisation energy loss Multi-wire proportional drift chamber Neural network TR Tracking Transition radiation detector Trigger Xenon-based gas mixture Nuclear and High Energy Physics Instrumentation.ddc:530[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]seuranta010306 general physicsdetector: designNuclear and High Energy PhysicNeuralCOLLIDING BEAM EXPERIMENTTRD PROTOTYPESelectron: particle identificationta114010308 nuclear & particles physics:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]fibre/foam sandwich radiatortriggercalibrationNATURAL SCIENCES. Physics.Neural networkdE/dx; Electron-pion identification; Fibre/foam sandwich radiator; Ionisation energy loss; Multi-wire proportional drift chamber; Neural network; TR; Tracking; Transition radiation detector; Trigger; Xenon-based gas mixtureTriggerdE/dx; Electron-pion identification; Fibre/foam sandwich radiator; Ionisation energy loss; Multi-wire proportional drift chamber; Neural network; TR; Tracking; Transition radiation detector; Trigger; Xenon-based gas mixture; Nuclear and High Energy Physics; InstrumentationnetworkELECTRON IDENTIFICATIONTRDHigh Energy Physics::ExperimentALICE (propellant)ENERGY-LOSSNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
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The cosmic axion spin precession experiment (CASPEr): a dark-matter search with nuclear magnetic resonance

2017

The Cosmic Axion Spin Precession Experiment (CASPEr) is a nuclear magnetic resonance experiment (NMR) seeking to detect axion and axion-like particles which could make up the dark matter present in the universe. We review the predicted couplings of axions and axion-like particles with baryonic matter that enable their detection via NMR. We then describe two measurement schemes being implemented in CASPEr. The first method, presented in the original CASPEr proposal, consists of a resonant search via continuous-wave NMR spectroscopy. This method offers the highest sensitivity for frequencies ranging from a few Hz to hundreds of MHz, corresponding to masses $ m_{\rm a} \sim 10^{-14}$--$10^{-6}…

Physics - Instrumentation and DetectorsPhysics and Astronomy (miscellaneous)Physics::Instrumentation and DetectorsMagnetometerMaterials Science (miscellaneous)Dark matterFOS: Physical sciencesApplied Physics (physics.app-ph)7. Clean energy01 natural scienceslaw.inventionHigh Energy Physics - Phenomenology (hep-ph)Nuclear magnetic resonancelaw0103 physical sciencesElectrical and Electronic Engineering010306 general physicsAxionPhysicsQuantum PhysicsCOSMIC cancer database010308 nuclear & particles physicsBandwidth (signal processing)RangingInstrumentation and Detectors (physics.ins-det)Physics - Applied PhysicsNuclear magnetic resonance spectroscopyAtomic and Molecular Physics and OpticsBaryonHigh Energy Physics - PhenomenologyPhysics - Data Analysis Statistics and ProbabilityQuantum Physics (quant-ph)Data Analysis Statistics and Probability (physics.data-an)Quantum Science and Technology
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The Monte Carlo simulation of the Borexino detector

2017

We describe the Monte Carlo (MC) simulation package of the Borexino detector and discuss the agreement of its output with data. The Borexino MC 'ab initio' simulates the energy loss of particles in all detector components and generates the resulting scintillation photons and their propagation within the liquid scintillator volume. The simulation accounts for absorption, reemission, and scattering of the optical photons and tracks them until they either are absorbed or reach the photocathode of one of the photomultiplier tubes. Photon detection is followed by a comprehensive simulation of the readout electronics response. The algorithm proceeds with a detailed simulation of the electronics c…

Physics - Instrumentation and DetectorsPhysics::Instrumentation and DetectorsSolar neutrinoMonte Carlo methodscintillation counter: liquidSolar neutrinosenergy resolution01 natural sciences7. Clean energyLarge volume liquid scintillator detectorHigh Energy Physics - Experiment[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Large volume liquid scintillator detectorsBorexinoPhysicsphotomultipliertrack data analysisDetectorefficiency: quantumddc:540GEANTBorexinoNeutrinophoton: yieldnumerical calculations: Monte CarloPhotomultiplierdata analysis methodenergy lossScintillatorSolar neutrinoprogrammingphoton: reflectionMonte Carlo simulationsNuclear physics0103 physical sciencesphoton: scattering[INFO]Computer Science [cs][PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsbackground: radioactivityMonte Carlo simulationdetector: designScintillation010308 nuclear & particles physicsbibliographyAstronomy and AstrophysicscalibrationLarge volume liquid scintillator detectors; Monte Carlo simulations; Solar neutrinos; Astronomy and Astrophysicsattenuation: lengthpile-upelectronics: readout
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Search for WIMP Inelastic Scattering off Xenon Nuclei with XENON100

2017

We present the first constraints on the spin-dependent, inelastic scattering cross section of weakly interacting massive particles (WIMPs) on nucleons from XENON100 data with an exposure of 7.64 ×103 kg .days . XENON100 is a dual-phase xenon time projection chamber with 62 kg of active mass, operated at the Laboratori Nazionali del Gran Sasso (LNGS) in Italy and designed to search for nuclear recoils from WIMP-nucleus interactions. Here we explore inelastic scattering, where a transition to a low-lying excited nuclear state of Xe 129 is induced. The experimental signature is a nuclear recoil observed together with the prompt deexcitation photon. We see no evidence for such inelastic WIMP-Xe…

Physics - Instrumentation and DetectorsXenonPhysics and Astronomy (miscellaneous)Physics::Instrumentation and Detectors[ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph]01 natural sciencesHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)XenonRecoilWIMP[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Dark MatterNuclear Experiment[ PHYS.PHYS.PHYS-INS-DET ] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]nucleus: recoilPhysicsTime projection chamberAstrophysics::Instrumentation and Methods for AstrophysicsWIMP nucleon: cross sectionInstrumentation and Detectors (physics.ins-det)Excited stateWeakly interacting massive particlesTPCNucleonchannel cross section: measuredsignatureAstrophysics - Cosmology and Nongalactic AstrophysicsParticle physicsdata analysis methodCosmology and Nongalactic Astrophysics (astro-ph.CO)WIMPchemistry.chemical_elementFOS: Physical sciencesInelastic scatteringspin: dependenceNuclear physicsstatistical analysis[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]photon: emission0103 physical sciencescross section: inelastic scattering[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsWIMP nucleon: inelastic scattering010308 nuclear & particles physicsS030DP2WIMP nucleus: interactionGran SassochemistryDirect Searchtime projection chamber: xenonHigh Energy Physics::Experiment[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]experimental results
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Diffusive behavior and the modeling of characteristic times in limit order executions

2007

We present an empirical study of the first passage time (FPT) of order book prices needed to observe a prescribed price change Delta, the time to fill (TTF) for executed limit orders and the time to cancel (TTC) for canceled ones in a double auction market. We find that the distribution of all three quantities decays asymptotically as a power law, but that of FPT has significantly fatter tails than that of TTF. Thus a simple first passage time model cannot account for the observed TTF of limit orders. We propose that the origin of this difference is the presence of cancellations. We outline a simple model, which assumes that prices are characterized by the empirically observed distribution …

Physics - Physics and SocietyFOS: Physical sciencesPhysics and Society (physics.soc-ph)Power lawFOS: Economics and businessOrder bookTime to fillLimit (mathematics)Statistical physicsMicrostructureMathematicsQuantitative Finance - Trading and Market MicrostructureEconophysicsLimit order marketEconophysicProbability and statisticsFirst passage timeTrading and Market Microstructure (q-fin.TR)Distribution (mathematics)Physics - Data Analysis Statistics and ProbabilityExponentCensored dataFirst-hitting-time modelGeneral Economics Econometrics and FinanceFinanceData Analysis Statistics and Probability (physics.data-an)
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Kullback-Leibler distance as a measure of the information filtered from multivariate data

2007

We show that the Kullback-Leibler distance is a good measure of the statistical uncertainty of correlation matrices estimated by using a finite set of data. For correlation matrices of multivariate Gaussian variables we analytically determine the expected values of the Kullback-Leibler distance of a sample correlation matrix from a reference model and we show that the expected values are known also when the specific model is unknown. We propose to make use of the Kullback-Leibler distance to estimate the information extracted from a correlation matrix by correlation filtering procedures. We also show how to use this distance to measure the stability of filtering procedures with respect to s…

Physics - Physics and SocietyKullback–Leibler divergenceStatistical Finance (q-fin.ST)Covariance matrixEXPRESSION DATAFOS: Physical sciencesQuantitative Finance - Statistical FinanceMultivariate normal distributionPhysics and Society (physics.soc-ph)Measure (mathematics)Stability (probability)Hierarchical clusteringDistance correlationFOS: Economics and businessPhysics - Data Analysis Statistics and ProbabilityStatisticsTime seriesAlgorithmData Analysis Statistics and Probability (physics.data-an)MATRICESMathematics
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How does the market react to your order flow?

2012

We present an empirical study of the intertwined behaviour of members in a financial market. Exploiting a database where the broker that initiates an order book event can be identified, we decompose the correlation and response functions into contributions coming from different market participants and study how their behaviour is interconnected. We find evidence that (1) brokers are very heterogeneous in liquidity provision -- some are consistently liquidity providers while others are consistently liquidity takers. (2) The behaviour of brokers is strongly conditioned on the actions of {\it other} brokers. In contrast brokers are only weakly influenced by the impact of their own previous ord…

Physics - Physics and SocietyQuantitative Finance - Trading and Market MicrostructureMarket microstructureLimit order marketFinancial marketFOS: Physical sciencesBehavioural financePhysics and Society (physics.soc-ph)Market microstructureMonetary economicsMarket dynamicsFinancial marketFinancial markets microstructure Econophysics stochasti processesTrading and Market Microstructure (q-fin.TR)Market liquidityFOS: Economics and businessCompetition (economics)Empirical researchOrder (exchange)Physics - Data Analysis Statistics and ProbabilityOrder bookBusinessGeneral Economics Econometrics and FinanceData Analysis Statistics and Probability (physics.data-an)FinanceQuantitative Finance
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Spanning Trees and bootstrap reliability estimation in correlation based networks

2007

We introduce a new technique to associate a spanning tree to the average linkage cluster analysis. We term this tree as the Average Linkage Minimum Spanning Tree. We also introduce a technique to associate a value of reliability to links of correlation based graphs by using bootstrap replicas of data. Both techniques are applied to the portfolio of the 300 most capitalized stocks traded at New York Stock Exchange during the time period 2001-2003. We show that the Average Linkage Minimum Spanning Tree recognizes economic sectors and sub-sectors as communities in the network slightly better than the Minimum Spanning Tree does. We also show that the average reliability of links in the Minimum …

Physics - Physics and SocietySpanning treecorrelation analysiApplied MathematicsReliability (computer networking)FOS: Physical sciencesPhysics and Society (physics.soc-ph)Minimum spanning treeTerm (time)CorrelationTree (data structure)complex networkStock exchangeModeling and SimulationPhysics - Data Analysis Statistics and ProbabilityStatisticsAverage Linkage Cluster AnalysisbootstrapEngineering (miscellaneous)Data Analysis Statistics and Probability (physics.data-an)Mathematicscluster analysis
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