Search results for "53"

showing 10 items of 2908 documents

Characterisation and mitigation of beam-induced backgrounds observed in the ATLAS detector during the 2011 proton-proton run

2013

This paper presents a summary of beam-induced backgrounds observed in the ATLAS detector and discusses methods to tag and remove background contaminated events in data. Triggerrate based monitoring of beam-related backgrounds is presented. The correlations of backgrounds with machine conditions, such as residual pressure in the beam-pipe, are discussed. Results from dedicated beam-background simulations are shown, and their qualitative agreement with data is evaluated. Data taken during the passage of unpaired, i.e. non-colliding, proton bunches is used to obtain background-enriched data samples. These are used to identify characteristic features of beam-induced backgrounds, which then are …

Physics::Instrumentation and DetectorsAccelerator modelling and simulations; multi-particle dynamics; Analysis and statistical methods; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; single-particle dynamicsPROTON BEAMSMonte Carlo methodsingle-particle dynamics01 natural sciencesaccelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)High Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)MUON DETECTORcluster findingPIXEL DETECTORSNaturvetenskap[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)InstrumentationQCMathematical PhysicsPhysicsLarge Hadron ColliderPattern recognition cluster finding calibration and fitting methodsAccelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)Settore FIS/01 - Fisica SperimentaleObservableATLAScalibration and fitting methodsAccelerator modelling and simulationsCalorimetermedicine.anatomical_structureBunchesAccelerator Modelling and Simulations (Multi-Particle Dynamics Single-Particle Dynamics)Analysis and statistical methodsLHCmulti-particle dynamicsNatural SciencesParticle Physics - ExperimentParticle physicsCiências Naturais::Ciências Físicas530 PhysicsInstrumentationCALORIMETERS:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Nuclear physicssingle-particle dynamics)Atlas (anatomy)Pattern recognition0103 physical sciencesmedicineAccelerator modelling and simulations (multi-particle dynamics single-particle dynamics)High Energy Physicspattern recognition; cluster finding; calibration and fitting methods; single-particle dynamics); analysis and statistical methods; accelerator modelling and simulations (multi-particle dynamics; performance of high energy physics detectorsddc:610010306 general physicsCalibration and fitting methodsScience & Technology010308 nuclear & particles physicsCluster findingFísicaAccelerator modelling and simulations (multi-particle dynamicsAccelerator modelling and simulations (multi-particle dynamics; Analysis and statistical methods; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; single-particle dynamics); Instrumentation; Mathematical PhysicsExperimental High Energy PhysicsPattern recognition; cluster finding; calibration and fitting methods; Performance of High Energy Physics Detectors; Accelerator modelling and simulations (multi-particle dynamics; single-particle dynamics); Analysis and statistical methodsPhysics::Accelerator PhysicsPerformance of High Energy Physics DetectorsEvent (particle physics)
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A measurement of material in the ATLAS tracker using secondary hadronic interactions in 7 TeV pp collisions

2016

Knowledge of the material in the ATLAS inner tracking detector is crucial in understanding the reconstruction of charged-particle tracks, the performance of algorithms that identify jets containing b-hadrons and is also essential to reduce background in searches for exotic particles that can decay within the inner detector volume. Interactions of primary hadrons produced in pp collisions with the material in the inner detector are used to map the location and amount of this material. The hadronic interactions of primary particles may result in secondary vertices, which in this analysis are reconstructed by an inclusive vertex-finding algorithm. Data were collected using minimum-bias trigger…

Physics::Instrumentation and DetectorsCiencias FísicasHadronsecondary [vertex]01 natural sciencesHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [p p]of photons with matter interaction of hadrons with matter etc)tracking detectorInstrumentationGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)Mathematical PhysicsQCPhysicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)Performance of high energy physics detectorsLarge Hadron ColliderAtlas (topology)DetectorSettore FIS/01 - Fisica Sperimentaleexotic [particle]ATLAStrackingprimary [vertex]CERN LHC CollDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc); Performance of High Energy Physics DetectorsAtlasTellurium compoundsParticle Physics - ExperimentperformanceCIENCIAS NATURALES Y EXACTASParticle physics530 PhysicsCiências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]Detector modelling and simulations I (interaction of radiation with matter interactionFOS: Physical sciencesLHC ATLAS High Energy Physics530MaterialNuclear physics510 Mathematics0103 physical sciencesddc:610High Energy Physics010306 general physicsCiencias ExactasScience & Technology010308 nuclear & particles physicstracks [charged particle]backgroundFísica//purl.org/becyt/ford/1.3 [https]triggerAstronomíaExperimental High Energy PhysicsHigh Energy Physics::Experimenthadron
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Evidence for the spin-0 nature of the Higgs boson using ATLAS data

2013

We acknowledge the support of ANPCyT, Argentina; YerPhl, Armenia; ARC, Australia; BMWF 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; EPLANET, ERC and NSRF, European Union; IN2P3-CNRS, CEA-DSM/IRFU, France; GNSF, Georgia; BMBF, DFG, HGF, MPG and AvH Foundation, Germany; GSRT and NSRF, Greece; ISF, MINERVA, GIF, DIP and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; FOM and NWO, Netherlands; BRF and RCN, Norway; MNiSW, Poland; GRICES and FCT, Portu…

Physics::Instrumentation and DetectorsCiencias FísicasHiggs boson; Parity; Spinspin01 natural sciences7. Clean energyHigh Energy Physics - ExperimentHiggs boson; Spin; Parity//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)Naturvetenskap[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]QCPhysicsLarge Hadron ColliderAtlas (topology)4. EducationATLAS experimentSettore FIS/01 - Fisica SperimentaleATLASQuantum numberParityparityHiggs bosonComputingMethodologies_DOCUMENTANDTEXTPROCESSINGCondensed Matter::Strongly Correlated ElectronsFísica nuclearLHCNatural SciencesParticle Physics - ExperimentCIENCIAS NATURALES Y EXACTASParticle physicsNuclear and High Energy PhysicsCiências Naturais::Ciências Físicas530 PhysicsHiggs boson:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Nuclear physicsSpin0103 physical sciencesddc:530HiggsbosonHigh Energy Physics010306 general physicsCiencias ExactasCoupling constantparity; spin; higgs bosonspin-0 natureScience & Technology010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyFísicaParity (physics)//purl.org/becyt/ford/1.3 [https]Higgs boson; Parity; Spin; Nuclear and High Energy PhysicsATLAS dataAstronomíaHADRON-HADRON COLLISIONSExperimental High Energy PhysicsHigh Energy Physics::ExperimentLepton
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A neural network clustering algorithm for the ATLAS silicon pixel detector

2014

A novel technique to identify and split clusters created by multiple charged particles in the ATLAS pixel detector using a set of artificial neural networks is presented. Such merged clusters are a common feature of tracks originating from highly energetic objects, such as jets. Neural networks are trained using Monte Carlo samples produced with a detailed detector simulation. This technique replaces the former clustering approach based on a connected component analysis and charge interpolation. The performance of the neural network splitting technique is quantified using data from proton-proton collisions at the LHC collected by the ATLAS detector in 2011 and from Monte Carlo simulations. …

Physics::Instrumentation and DetectorsCiencias FísicasMonte Carlo methodHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)jetParticle tracking detectors[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [p p]Statistical physicscluster [track data analysis]Particle tracking detectors (solid-state detectors)InstrumentationQCMathematical PhysicsPhysicsArtificial neural networkAtlas (topology)Detectordetectors)Monte Carlo [numerical calculations]ATLASperformance [neural network]CERN LHC CollParticle tracking detectors (Solid-state detectors)Feature (computer vision)Physical SciencesParticle tracking detectors (Solid-stateParticle tracking detectors; Particle tracking detectors (Solid-state detectors)ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGLHCConnected-component labelingAlgorithmNeural networksCIENCIAS NATURALES Y EXACTASParticle Physics - ExperimentInterpolationCiências Naturais::Ciências Físicas530 Physicssplitting:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesParticle tracking detectors; Particle tracking detectors (solid-state detectors); Instrumentation; Mathematical Physics530FysikHigh Energy Physicsddc:610Cluster analysispixel [semiconductor detector]Science & TechnologyFísica//purl.org/becyt/ford/1.3 [https]High Energy Physics - Experiment; High Energy Physics - ExperimentParticle tracking detectorcluster [charged particle]AstronomíaParticle tracking detectors; Particle tracking detectors (Solid-state; detectors)Experimental High Energy Physicsimpact parameter [resolution]
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Neutrino oscillation studies with IceCube-DeepCore

2016

IceCube, a gigaton-scale neutrino detector located at the South Pole, was primarily designed to search for astrophysical neutrinos with energies of PeV and higher. This goal has been achieved with the detection of the highest energy neutrinos to date. At the other end of the energy spectrum, the DeepCore extension lowers the energy threshold of the detector to approximately 10 GeV and opens the door for oscillation studies using atmospheric neutrinos. An analysis of the disappearance of these neutrinos has been completed, with the results produced being complementary with dedicated oscillation experiments. Following a review of the detector principle and performance, the method used to make…

Physics::Instrumentation and DetectorsSolar neutrinopoleinteraction [neutrino nucleon]PINGU01 natural sciences7. Clean energyneutrino nucleon: interactionIceCubeenergy: thresholdAstronomi astrofysik och kosmologineutrino: atmosphereAstronomy Astrophysics and Cosmologydetector [neutrino]Physicsneutrino: energy spectrumoscillation [neutrino]Astrophysics::Instrumentation and Methods for Astrophysicsatmosphere [neutrino]threshold [energy]mass difference [neutrino]Cosmic neutrino backgroundneutrino: detectorNeutrino detectorPhysique des particules élémentairesMeasurements of neutrino speedNeutrinoperformanceNuclear and High Energy PhysicsParticle physicsAstrophysics::High Energy Astrophysical Phenomenaneutrino: mass differenceddc:500.2530neutrino: energySOUTH-POLE0103 physical sciencesddc:530010306 general physicsNeutrino oscillation010308 nuclear & particles physicsICEenergy spectrum [neutrino]Solar neutrino problemneutrino: mixing anglePhysics and Astronomyenergy [neutrino]High Energy Physics::Experimentneutrino: oscillationNeutrino astronomyMATTERSYSTEMmixing angle [neutrino]experimental results
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The mass-hierarchy and CP-violation discovery reach of the LBNO long-baseline neutrino experiment.

2014

The next generation neutrino observatory proposed by the LBNO collaboration will address fundamental questions in particle and astroparticle physics. The experiment consists of a far detector, in its first stage a 20 kt LAr double phase TPC and a magnetised iron calorimeter, situated at 2300 km from CERN and a near detector based on a high-pressure argon gas TPC. The long baseline provides a unique opportunity to study neutrino flavour oscillations over their 1st and 2nd oscillation maxima exploring the $L/E$ behaviour, and distinguishing effects arising from $\delta_{CP}$ and matter. In this paper we have reevaluated the physics potential of this setup for determining the mass hierarchy (M…

Physics::Instrumentation and Detectorsfar detectorkaukoputket ja teleskoopit7. Clean energyviolation [CP]CP violation; Neutrino Detectors and Telescopes; Oscillation; Nuclear and High Energy PhysicsHigh Energy Physics - Phenomenology (hep-ph)Observatorymass: hierarchy [neutrino]detector [neutrino]QCPhysicsTime projection chamberLarge Hadron ColliderOscillationmagnetization [iron]oscillation [neutrino]High Energy Physics - PhenomenologyCP violationliquid argon [time projection chamber]CP violationNeutrinoParticle physicsNuclear and High Energy PhysicsCERN Lab530 PhysicseducationFOS: Physical sciencesddc:500.2oscillation [flavor]114 Physical sciencesNuclear physicsphase spacenear detectorstatistical analysisiron [calorimeter]Particle Physics - PhenomenologyAstroparticle physicsNeutrino Detectors and Telescopesta114Físicaflavor [neutrino]CP [phase]CERN SPSMODELproposed [observatory]Oscillation13. Climate actionPhase space[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]gas [argon]beam [neutrino]High Energy Physics::ExperimentMATTERneutrino detectorsCP violation.
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Measurement of the production cross section of jets in association with a Z boson in pp collisions at $\sqrt{s}$ = 7 TeV with the ATLAS detector

2013

Measurements of the production of jets of particles in association with a Z boson in pp collisions at s√ = 7 TeV are presented, using data corresponding to an integrated luminosity of 4.6 fb[superscript −1] collected by the ATLAS experiment at the Large Hadron Collider. Inclusive and differential jet cross sections in Z events, with Z decaying into electron or muon pairs, are measured for jets with transverse momentum p [subscript T] > 30 GeV and rapidity |y| < 4.4. The results are compared to next-to-leading-order perturbative QCD calculations, and to predictions from different Monte Carlo generators based on leading-order and next-to-leading-order matrix elements supplemented by parton sh…

Physics::Instrumentation and Detectorslarge hadron colliderPartonJet (particle physics)01 natural sciencesHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear ExperimentGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)QChadron-hadron scatteringPhysicsLarge Hadron ColliderLuminosity (scattering theory)Settore FIS/01 - Fisica SperimentaleATLAS experimentPerturbative QCDz bosonATLASLHCParticle Physics - ExperimentParticle physicsNuclear and High Energy Physics530 PhysicsCiências Naturais::Ciências FísicasAstrophysics::High Energy Astrophysical Phenomena:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesATLAS experimentddc:500.2Hadron-hadron scattering530Nuclear physics0103 physical sciencesddc:530RapidityHigh Energy Physics010306 general physicsCiencias ExactasScience & TechnologyMuon010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyFísicaQCDHADRON-HADRON COLLISIONSExperimental High Energy Physicsproton-proton collisionsHigh Energy Physics::Experiment
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SEA presidential address: Group connectivity and cooperation

2011

A model-free methodology is used for the first time to estimate a daily volatility index (VIBEX-NEW) for the Spanish financial market.We use a public data set of daily option prices to compute this index and showthat daily changes in VIBEXNEW display a negative, tight contemporaneous relationship with IBEX daily returns, contrary to other common volatility indicators, as an implied volatility indicator or a GARCH(1,1) conditional volatility model. This relationship is approximately symmetric to the sign on VIBEX-NEW changes and asymmetric to the IBEX-35 returns sign, which make it clearly a suitable volatility index for the Spanish stock market. We also examine the relationship between curr…

Physics::Physics and SocietyComputer Science::Computer Science and Game TheoryTheoretical computer sciencemodel-based volatility indexGeneralizationBinary relationComputer scienceGroup (mathematics)G13Evolutionäre SpieltheorieLeverage effectG15leverage effectGefangenendilemmaMoore neighborhoodDilemmaforecasting volatilitymodel-free volatility indexPresidential addressddc:330Graph (abstract data type)C53General Economics Econometrics and Financerisk
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Carta anonima a los señores comisionados del cuerpo de especieros

1797

Los autores constan en final de cada parte En el texto se alude al año 1797 como fecha de las obras Según Gutiérrez del Caño, Miguel Estevan y Cervera, imprimió en Valencia, entre los años 1795-1801 Sin signaturizar

Pliegos de cordel-Valencia-S. XVIIIValencia-Fiestas religiosas-S. XVIIILiteratura de canya i cordill valenciana S XVIII Obres anteriors al 1800Juan de Ribera Santo 1532-1611Joan de Ribera sant Beatificació Festes Obres anteriors al 1800 lemacDevocions populars Comunitat Valenciana
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Hybrid quantum anomalous Hall effect at graphene-oxide interfaces

2021

Interfaces are ubiquitous in materials science, and in devices in particular. As device dimensions are constantly shrinking, understanding the physical properties emerging at interfaces is crucial to exploit them for applications, here for spintronics. Using first-principles techniques and Monte Carlo simulations, we investigate the mutual magnetic interaction at the interface between graphene and an antiferromagnetic semiconductor BaMnO3. We find that graphene deeply affects the magnetic state of the substrate, down to several layers below the interface, by inducing an overall magnetic softening, and switching the in-plane magnetic ordering from antiferromagnetic to ferromagnetic. The grap…

Political science0103 physical sciencesddc:530Topological insulators02 engineering and technologySpintronics021001 nanoscience & nanotechnology010306 general physics0210 nano-technology01 natural sciencesHumanities
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