Search results for "Data analysis."

showing 10 items of 377 documents

Computer Programming Aptitude Test as a Tool for Reducing Student Attrition

2015

Submitted to the VTR conference to be held in Rezekne, June 2015

business.industryComputer sciencemedia_common.quotation_subjectdata analysisComputer programmingaptitude test; attrition rate; computer science education; data analysisaptitude testmedicine.diseaseField (computer science)Test (assessment)attrition rateAction planComputingMilieux_COMPUTERSANDEDUCATIONmedicineMathematics educationcomputer science educationAttritionAptitudebusinessDropout (neural networks)media_commonEnvironment. Technology. Resources. Proceedings of the International Scientific and Practical Conference
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Upper limits on the isotropic gravitational-wave background from Advanced LIGO and Advanced Virgo's third observing run

2021

We report results of a search for an isotropic gravitational-wave background (GWB) using data from Advanced LIGO's and Advanced Virgo's third observing run (O3) combined with upper limits from the earlier O1 and O2 runs. Unlike in previous observing runs in the advanced detector era, we include Virgo in the search for the GWB. The results are consistent with uncorrelated noise, and therefore we place upper limits on the strength of the GWB. We find that the dimensionless energy density $\Omega_{\rm GW}\leq 5.8\times 10^{-9}$ at the 95% credible level for a flat (frequency-independent) GWB, using a prior which is uniform in the log of the strength of the GWB, with 99% of the sensitivity comi…

coalescencePhysics and Astronomy (miscellaneous)gravitation: modelAstronomypopulationAstrophysicspower spectrum01 natural sciencesGeneral Relativity and Quantum CosmologyPhysics Particles & FieldsGravitational wave backgroundbackground: magneticenergy: densitycorrelation functionLIGOQCPOPULATIONQBPhysicsSettore FIS/01education.field_of_studySpectral indexPhysicsstar-formation ratestatistical analysis: BayesianIsotropicSTAR-FORMATION RATE; BLACK-HOLE; MASS; COALESCENCE; POPULATION; EVOLUTION; RADIATION; PROSPECTSCOALESCENCEPhysical Sciences[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]LIGO; Virgo; isotropic gravitational-wave backgroundIsotropic gravitational wave backgrounds with LIGO and VirgoAstrophysics - Cosmology and Nongalactic Astrophysicsgravitational radiation: polarizationdata analysis methodCosmology and Nongalactic Astrophysics (astro-ph.CO)black-holePopulationFOS: Physical sciencesGravitational Waves LIGO Virgo Stochastic Background IsotropicGeneral Relativity and Quantum Cosmology (gr-qc)Astronomy & AstrophysicsMASSSTAR-FORMATION RATEBinary black holebinary: coalescence0103 physical sciencesevolutionddc:530SDG 7 - Affordable and Clean Energy2ND010306 general physicseducationGravitational Waves/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energyScience & Technology010308 nuclear & particles physicsGravitational waveVirgogravitational radiation: backgroundSpectral densityprospectsbinary: compactnoise: magneticLIGOEVOLUTIONisotropic gravitational-wave backgroundBlack holeradiationdetector: sensitivityPROSPECTSVIRGOpolarization: scalarblack hole: binaryGravitation Cosmology AstrophysicsBLACK-HOLEpolarization: vectorRADIATIONmassStochastic BackgroundDewey Decimal Classification::500 | Naturwissenschaften::530 | Physik[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
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Computational Techniques for the Analysis of Small Signals in High-Statistics Neutrino Oscillation Experiments

2020

The current and upcoming generation of Very Large Volume Neutrino Telescopes – collecting unprecedented quantities of neutrino events – can be used to explore subtle effects in oscillation physics, such as (but not restricted to) the neutrino mass ordering. The sensitivity of an experiment to these effects can be estimated from Monte Carlo simulations. With the high number of events that will be collected, there is a trade-off between the computational expense of running such simulations and the inherent statistical uncertainty in the determined values. In such a scenario, it becomes impractical to produce and use adequately-sized sets of simulated events with traditional methods, such as M…

data analysis methodNuclear and High Energy PhysicsMonte Carlo methodFVLV nu TData analysis; Detector; KDE; MC; Monte Carlo; Neutrino; Neutrino mass ordering; Smoothing; Statistics; VLVνTData analysisKDEFOS: Physical sciences01 natural sciencesIceCubeHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)statistical analysisnumerical methods0103 physical sciencesStatisticsNeutrinoddc:530Sensitivity (control systems)MC010306 general physicsNeutrino oscillationInstrumentation and Methods for Astrophysics (astro-ph.IM)InstrumentationMonte CarloPhysicsVLVνT010308 nuclear & particles physicsOscillationStatisticsoscillation [neutrino]ObservableDetectorMonte Carlo [numerical calculations]WeightingNeutrino mass orderingPhysics and AstronomyPhysics - Data Analysis Statistics and ProbabilityPhysique des particules élémentairesNeutrinoAstrophysics - Instrumentation and Methods for AstrophysicsMATTERData Analysis Statistics and Probability (physics.data-an)SmoothingSmoothing
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Measurement of θ13 in Double Chooz using neutron captures on hydrogen with novel background rejection techniques

2016

The Double Chooz collaboration presents a measurement of the neutrino mixing angle θ[subscript 13] using reactor [bar over ν[subscript e]] observed via the inverse beta decay reaction in which the neutron is captured on hydrogen. This measurement is based on 462.72 live days data, approximately twice as much data as in the previous such analysis, collected with a detector positioned at an average distance of 1050 m from two reactor cores. Several novel techniques have been developed to achieve significant reductions of the backgrounds and systematic uncertainties. Accidental coincidences, the dominant background in this analysis, are suppressed by more than an order of magnitude with respec…

data analysis methodNuclear and High Energy PhysicsParticle physicsPhysics - Instrumentation and DetectorsNeutrino Detectors and TelescopeGadoliniumnuclear reactor [antineutrino/e]energy spectrumchemistry.chemical_elementFluxmixing angle: measured [neutrino]CHOOZ7. Clean energy01 natural sciencesHigh Energy Physics - Experimentflux [antineutrino]Flavor physicscapture [n]0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Electroweak interactionddc:530Neutron010306 general physicsPhysicsNeutrino Detectors and Telescopesbackground010308 nuclear & particles physicsoscillation [neutrino]suppressionDouble ChoozNeutron captureOscillationchemistryhydrogenInverse beta decayFlavor physicspectralHigh Energy Physics::ExperimentgadoliniumNeutrinoOrder of magnitudeexperimental results
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Track finding at Belle II

2021

Computer physics communications 259, 107610 (2021). doi:10.1016/j.cpc.2020.107610

data analysis methodPhysics - Instrumentation and DetectorsComputer scienceReal-time computingFOS: Physical sciencesGeneral Physics and AstronomyBELLETrack (rail transport)01 natural sciences530programming010305 fluids & plasmasHigh Energy Physics - ExperimentTracking algorithmsHigh Energy Physics - Experiment (hep-ex)Tracking detectorsSoftware0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Belle II; Tracking algorithms; Tracking detectorsBelle IIddc:530[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsSpurious relationshipSelection (genetic algorithm)Event reconstructionbusiness.industrytrack data analysisInstrumentation and Detectors (physics.ins-det)Modular designResolution (logic)charged particleHardware and Architecturebusinessperformance
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Intrinsic backgrounds from Rn and Kr in the XENON100 experiment

2018

In this paper, we describe the XENON100 data analyses used to assess the target-intrinsic background sources radon ([InlineMediaObject not available: see fulltext.]), thoron ([InlineMediaObject not available: see fulltext.]) and krypton ([InlineMediaObject not available: see fulltext.]). We detail the event selections of high-energy alpha particles and decay-specific delayed coincidences. We derive distributions of the individual radionuclides inside the detector and quantify their abundances during the main three science runs of the experiment over a period of ∼4years, from January 2010 to January 2014. We compare our results to external measurements of radon emanation and krypton concentr…

data analysis methodPhysics - Instrumentation and DetectorsPhysics and Astronomy (miscellaneous)WIMPFOS: Physical scienceschemistry.chemical_elementlcsh:AstrophysicsRadonSciences de l'ingénieur01 natural sciencesIonNuclear physicsradon: nuclideXENONlcsh:QB460-4660103 physical scienceslcsh:Nuclear and particle physics. Atomic energy. Radioactivity[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsInstrumentation and Methods for Astrophysics (astro-ph.IM)[ PHYS.PHYS.PHYS-INS-DET ] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Engineering (miscellaneous)nuclidebackground: radioactivitybackground: suppressionkryptonPhysicsRadionuclidePhysique010308 nuclear & particles physicsKryptonInstrumentation and Detectors (physics.ins-det)Alpha particleAstronomieDark Matter direct search experimentrespiratory tract diseasesRadon DaughtersBackgroundchemistrylcsh:QC770-798TPCAstrophysics - Instrumentation and Methods for Astrophysics
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Time-domain effective-one-body gravitational waveforms for coalescing compact binaries with nonprecessing spins, tides and self-spin effects

2018

We present TEOBResumS, a new effective-one-body (EOB) waveform model for nonprecessing (spin-aligned) and tidally interacting compact binaries.Spin-orbit and spin-spin effects are blended together by making use of the concept of centrifugal EOB radius. The point-mass sector through merger and ringdown is informed by numerical relativity (NR) simulations of binary black holes (BBH) computed with the SpEC and BAM codes. An improved, NR-based phenomenological description of the postmerger waveform is developed.The tidal sector of TEOBResumS describes the dynamics of neutron star binaries up to merger and incorporates a resummed attractive potential motivated by recent advances in the post-Newt…

data analysis methodneutron star: binaryGravitational waves effective-one-bodyAstronomyBinary numberFOS: Physical sciencesalternative theories of gravityGeneral Relativity and Quantum Cosmology (gr-qc)Parameter spacegravitational radiation: direct detection01 natural sciencesGeneral Relativity and Quantum CosmologyNumerical studies of other relativistic binaries; Neutron stars; black holes (astrophysics); Gravitational wavesNeutron starsGravitational wavesGravitationBinary black holebinary: coalescence0103 physical sciencesnumerical methodsblack holes (astrophysics)010306 general physicsGeneral Relativity and Quantum Cosmology; General Relativity and Quantum Cosmologyequation of statePhysics010308 nuclear & particles physicsNumerical studies of other relativistic binarieshigher-order: 0spin: effectGravitational Waves analytical template modeling LIGO Virgo numerical relativity Neutron Stars parameter estimationRadiusbinary: compactLIGOgravitational radiation detectorComputational physicsFIS/02 - FISICA TEORICA MODELLI E METODI MATEMATICIdetector: sensitivityNeutron starNumerical relativityblack hole: binaryGeneral relativityrelativity theorygravitation: self-force[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]effective-one-body
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Search for heavy neutrinos with the T2K near detector ND280

2019

This paper reports on the search for heavy neutrinos with masses in the range 140<MN<493  MeV/c2 using the off-axis near detector ND280 of the T2K experiment. These particles can be produced from kaon decays in the standard neutrino beam and then subsequently decay in ND280. The decay modes under consideration are N→ℓ±απ∓ and N→ℓ+αℓ−β(−)ν(α,β=e,μ). A search for such events has been made using the Time Projection Chambers of ND280, where the background has been reduced to less than two events in the current dataset in all channels. No excess has been observed in the signal region. A combined Bayesian statistical approach has been applied to extract upper limits on the mixing elements of heav…

decay modes [neutrino]GENERAL-THEORYmixing [neutrino]Physics::Instrumentation and Detectorsneutrino: heavy: search forKAMIOKANDE01 natural sciencesHigh Energy Physics - ExperimentPhysics Particles & FieldsHigh Energy Physics - Experiment (hep-ex)LIMITSsecondary beam [neutrino/mu]neutrino: decay modes[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Particle Physics Experimentsneutrino: massmedia_commonPhysicsVMSMJ-PARC LabPhysicsstatistical analysis: BayesianK: decayheavy neutrinos T2K Experiment Time Projection Chambersmass dependenceGeneral theoryT2K ExperimentTime Projection ChambersPhysical SciencesChristian ministrydata analysis methodFOS: Physical sciencesLibrary scienceheavy: search for [neutrino]Astronomy & AstrophysicsBayesian [statistical analysis]530near detector0103 physical sciencesDARK-MATTERmedia_common.cataloged_instanceddc:530Early careerEuropean unionS077A00010306 general physicsS077A01heavy neutrinosScience & Technology010308 nuclear & particles physicsbackgroundhep-exHigh Energy Physics::PhenomenologyFísicaneutrino/mu: secondary beamtime projection chamberdecay [K]mass [neutrino]Hypothetical particle physics models Particle phenomenaHigh Energy Physics::Experimentneutrino: mixingstatisticalexperimental resultsPhysical Review D
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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
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Analysis of network rumor dissemination and control mechanisms on Chinese social network : Sina Weibo

2016

The social network has become a major source of information. The openness and swiftness of the network bring instant accessing to both true and false information. Sometimes the false information such as network rumors can mislead people from obtaining the true information and even create chaos. The social network platforms and the governments in different countries are making effort on enacting their own mechanisms to strive on eliminating the rumors. The aim of this thesis is to investigate the spreading of rumors on the Chinese social networking website Sina Weibo. The censorship policy of the Chinese government and the methods used to control the spreading of rumors are discussed. The la…

dissemination of rumorsData AnalysistiedonlähteetSina WeiboData VisualizationKiinaChinese Social Networkrumor controlsosiaalinen mediaNetwork RumorsSocial Network Analysis
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