Search results for "Data analysi"

showing 10 items of 391 documents

"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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Load Monitoring Practice in Elite Women Association Football

2021

The description of current load monitoring practices may serve to highlight developmental needs for both the training ground, academia and related industries. While previous studies described these practices in elite men's football, no study has provided an overview of load monitoring practices in elite women's football. Given the clear organizational differences (i.e., professionalization and infrastructure) between men's and women's clubs, making inferences based on men's data is not appropriate. Therefore, this study aims to provide a first overview of the current load monitoring practices in elite women's football. Twenty-two elite European women's football clubs participated in a close…

PERCEPTIONSSTRATEGIESTeam sportApplied psychologyeducationdata analysisfemale athletesFootballCoachingProfessionalizationLikert scalephysical trainingMultiple choiceOriginal Researchbusiness.industrytraining processTRAINING LOADGeneral MedicineVDP::Medisinske Fag: 700::Idrettsmedisinske fag: 850soccerSports and Active LivingGV557-1198.995EliteClubteam sportbusinessPsychologySportsFrontiers in Sports and Active Living
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Hadronic τ Decays as New Physics Probes in the LHC Era

2019

We analyze the sensitivity of hadronic tau decays to non-standard interactions within the model-independent framework of the Standard Model Effective Field Theory (SMEFT). Both exclusive and inclusive decays are studied, using the latest lattice data and QCD dispersion relations. We show that there are enough theoretically clean channels to disentangle all the effective couplings contributing to these decays, with the $\tau \to \pi\pi\nu_\tau$ channel representing an unexpected powerful New Physics probe. We find that the ratios of non-standard couplings to the Fermi constant are bound at the sub-percent level. These bounds are complementary to the ones from electroweak precision observable…

Particle physicsdata analysis methoddispersion relationPhysics beyond the Standard ModelLattice field theoryGeneral Physics and AstronomyFOS: Physical sciences01 natural sciencesHigh Energy Physics - Phenomenology (hep-ph)effective field theoryweak interaction: coupling constant0103 physical sciencesquantum chromodynamicsEffective field theory010306 general physicstau: hadronic decayParticle Physics - PhenomenologyQuantum chromodynamicsPhysicsLarge Hadron Colliderelectroweak interactionnew physicsElectroweak interactionHigh Energy Physics::Phenomenologylattice field theoryhep-phObservablecorrection: vertexsensitivitytau --> pi pi neutrino/tauHigh Energy Physics - PhenomenologyCERN LHC Coll[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]Elementary Particles and Fieldslepton: universality: violationHigh Energy Physics::ExperimentLepton
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Extraction of the Muon Signals Recorded with the Surface Detector of the Pierre Auger Observatory Using Recurrent Neural Networks

2021

The Pierre Auger Observatory, at present the largest cosmic-ray observatory ever built, is instrumented with a ground array of 1600 water-Cherenkov detectors, known as the Surface Detector (SD). The SD samples the secondary particle content (mostly photons, electrons, positrons and muons) of extensive air showers initiated by cosmic rays with energies ranging from $10^{17}~$eV up to more than $10^{20}~$eV. Measuring the independent contribution of the muon component to the total registered signal is crucial to enhance the capability of the Observatory to estimate the mass of the cosmic rays on an event-by-event basis. However, with the current design of the SD, it is difficult to straightfo…

PhotonPhysics::Instrumentation and DetectorsAstronomyElectron01 natural sciencesHigh Energy Physics - ExperimentAugerHigh Energy Physics - Experiment (hep-ex)mass [cosmic radiation]surface [detector]Observatory[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]photon: cosmic radiationInstrumentationMathematical PhysicsPhysicsAGASAPhysicsSettore FIS/01 - Fisica SperimentaleDetectorcosmic radiation [photon]Astrophysics::Instrumentation and Methods for AstrophysicsMonte Carlo [numerical calculations]electromagnetic [showers]Augerobservatorycosmic radiation [electron]Analysis and statistical methodsnumerical calculations: Monte CarloAnalysis and statistical methodperformancepositron: cosmic radiationatmosphere [showers]Cherenkov detectordata analysis methodAnalysis and statistical methods; Calibration and fitting methods; Cherenkov detectors; Cluster finding; Large detector systems for particle and astroparticle physics; Pattern recognitionCherenkov counter: waterairneural networkAstrophysics::High Energy Astrophysical Phenomena610FOS: Physical sciencesCosmic raycosmic radiation [positron]cosmic radiation: massCalibration and fitting methodNuclear physicsstatistical analysisPattern recognition0103 physical sciencesshowers: electromagneticddc:530ddc:610High Energy Physics010306 general physicsZenithPierre Auger ObservatoryCalibration and fitting methodscosmic radiation [muon]Muonshowers: atmosphere010308 nuclear & particles physicsdetector: surfacehep-exLarge detector systems for particle and astroparticle physicswater [Cherenkov counter]Cherenkov detectorsCluster findingelectron: cosmic radiationRecurrent neural networkmuon: cosmic radiationLarge detector systems for particle and astroparticle physicExperimental High Energy PhysicsHigh Energy Physics::ExperimentRAIOS CÓSMICOSexperimental results
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Prolonged sub-luminous state of the new transitional pulsar candidate CXOU J110926.4-650224

2019

We report on a multi-wavelength study of the unclassified X-ray source CXOU J110926.4-650224 (J1109). We identified the optical counterpart as a blue star with a magnitude of $\sim$20.1 (3300-10500 $\require{mediawiki-texvc} \AA$). The optical emission was variable on timescales from hundreds to thousands of seconds. The spectrum showed prominent emission lines with variable profiles at different epochs. Simultaneous XMM-Newton and NuSTAR observations revealed a bimodal distribution of the X-ray count rates on timescales as short as tens of seconds, as well as sporadic flaring activity. The average broad-band (0.3-79 keV) spectrum was adequately described by an absorbed power law model with…

PhotonX-rays: BinarieAstrophysics::High Energy Astrophysical PhenomenaFluxFOS: Physical sciencesAstrophysicsMethods: Data analysiAstrophysics::Cosmology and Extragalactic Astrophysics7. Clean energy01 natural sciencesLuminosityAccretion accretion diskSettore FIS/05 - Astronomia E AstrofisicaPulsarMethods: Observational0103 physical sciencesEmission spectrum010303 astronomy & astrophysicsAstrophysics::Galaxy AstrophysicsPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)010308 nuclear & particles physicsAstronomy and AstrophysicsStars: neutronX-rays: Individuals: CXOU J110926.4-650224Neutron star13. Climate actionSpace and Planetary ScienceMagnitude (astronomy)Astrophysics - High Energy Astrophysical PhenomenaFermi Gamma-ray Space Telescope
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Study of the material of the ATLAS inner detector for Run 2 of the LHC

2017

The ATLAS inner detector comprises three different sub-detectors: the pixel detector, the silicon strip tracker, and the transition-radiation drift-tube tracker. The Insertable B-Layer, a new innermost pixel layer, was installed during the shutdown period in 2014, together with modifications to the layout of the cables and support structures of the existing pixel detector. The material in the inner detector is studied with several methods, using a low-luminosity root s = 13 TeV pp collision sample corresponding to around 2.0 nb(-1) collected in 2015 with the ATLAS experiment at the LHC. In this paper, the material within the innermost barrel region is studied using reconstructed hadronic in…

Photondrift tubePhysics::Instrumentation and Detectors13000 GeV-cmsparticle identification: efficiencyCiencias FísicasPerformance of High Energy Physics Detector01 natural sciencesHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]Subatomär fysikHigh Energy Physics - Experiment (hep-ex)Particle tracking detectorsSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [p p]tracking detectorGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)InstrumentationQCMathematical Physicsparticle identification [charged particle]Detector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)PhysicsLarge Hadron Colliderefficiency [particle identification]track data analysisSettore FIS/01 - Fisica SperimentaleATLAS experimentDetectorpixel [detector]interaction of photons with matterDetectorsMonte Carlo [numerical calculations]ATLASSample (graphics)interaction of hadrons with mattermedicine.anatomical_structureCERN LHC CollLHCcolliding beams [p p]numerical calculations: Monte CarloParticle Physics - ExperimentCIENCIAS NATURALES Y EXACTASp p: scatteringphoton: transition530 PhysicsCiências Naturais::Ciências FísicasInstrumentation:Ciências Físicas [Ciências Naturais]transition [photon]Detector modelling and simulations I (interaction of radiation with matterFOS: Physical sciences610charged particle: particle identificationAccelerator Physics and InstrumentationInteraction of photons with matterOpticsAtlas (anatomy)[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]0103 physical sciencesmedicinedetector: pixelInteraction of hadrons with matterHigh Energy Physicsddc:610structure010306 general physicsCiencias Exactasetc)Science & TechnologyPixelhep-ex010308 nuclear & particles physicsbusiness.industryinteraction of radiation with matterFísicasiliconAcceleratorfysik och instrumenteringDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc); Particle tracking detectors; Performance of High Energy Physics Detectors; Instrumentation; Mathematical Physics//purl.org/becyt/ford/1.3 [https]tracksDetector modelling and simulationsParticle tracking detectorAstronomíarapidityExperimental High Energy PhysicsPerformance of High Energy Physics DetectorsHigh Energy Physics::Experimenttransition radiationbusinessDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)p p: colliding beamsexperimental results
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GRANADA consensus on analytical approaches to assess associations with accelerometer-determined physical behaviours (physical activity, sedentary beh…

2021

This study was conducted under the umbrella of the ActiveBrains and the SmarterMove projects supported by the MINECO/FEDER (DEP2013-47540, DEP2016-79512-R, RYC-2011-09011) and the CoCA project supported by the European Union's 2020 research and innovation programme (667302). JHM is supported by a grant from the Spanish Ministry of Education, Culture and Sport (FPU15/02645). AR is supported by the NIHR Leicester Biomedical Research Centre, and the Collaboration for leadership in Applied Health Research and Care (CLAHRC) East Midlands. SS is supported by the French National Research Agency (ANR-19-CE36-0004-01). RW is supported by a Medical Research Council Industrial Strategy Studentship (MR…

Physical TherapyCOUNTApplied psychologyphysical activityCHILDRENScientific literatureAccelerometer0302 clinical medicineCADENCEAccelerometryEpidemiologyMedicine and Health SciencesSITTING TIMEOrthopedics and Sports Medicine030212 general & internal medicineMESH: Accelerometry[SDV.MHEP] Life Sciences [q-bio]/Human health and pathologyMESH: Epidemiologic StudiesFunctional data analysisGeneral MedicineVDP::Medisinske Fag: 700::Idrettsmedisinske fag: 8503. Good healthMESH: Sedentary BehaviorstatisticsCodependencyCOMPARABILITYepidemiologyPsychologymedicine.medical_specialtyConsensusMESH: SleepDecision treePhysical activityPhysical Therapy Sports Therapy and RehabilitationContext (language use)Sports Therapy and RehabilitationMASSVDP::Samfunnsvitenskap: 200::Samfunnsvitenskapelige idrettsfag: 330::Aktivitetslære: 33203 medical and health sciencessedentarymedicineHumansMESH: ConsensusExerciseMESH: HumansMORTALITYPROFILES030229 sport sciencesTvärvetenskapliga studier inom samhällsvetenskapphysical activity; epidemiology; statistics; accelerometer; sedentaryEpidemiologic StudiesaccelerometerMESH: ExerciseSedentary BehaviorSocial Sciences InterdisciplinarySleep[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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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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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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