Search results for "Data analysis."

showing 10 items of 377 documents

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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Regression analysis to design a solar thermal collector for occasional use

2020

Abstract Optimal design of a solar thermal system is necessary to minimize payback time and to diffuse renewable energy use for Domestic Hot Water production in residential areas. More accurate design is crucial in the case of seasonal or occasional use of the system; indeed, the standard criteria generally applied to a design system for continuous use, can lead to considerable over-sizing. To speed up the design phase and to help the planner in the identification of the best solution without any complex evaluation or long computational time, it would be interesting to have available a simpler method than the standard procedures, but one that is reliable and accurate for the evaluation of t…

Optimal designSettore ING-IND/11 - Fisica Tecnica AmbientaleRenewable Energy Sustainability and the EnvironmentComputer sciencebusiness.industryParametric analysiTRNSYS model020209 energyOptimum designEnergy Engineering and Power TechnologyContext (language use)02 engineering and technologyReplicateReliability engineeringRenewable energyIdentification (information)020401 chemical engineering0202 electrical engineering electronic engineering information engineeringData analysisEmpirical correlation0204 chemical engineeringbusinessSolar thermal collectorReliability (statistics)Solar thermal collector
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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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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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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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