Search results for "QC"

showing 10 items of 3477 documents

On the dynamical bar-mode instability in spinning bosonic stars

2020

Spinning bosonic stars (SBSs) can form from the gravitational collapse of a dilute cloud of scalar/Proca particles with non-zero angular momentum. In a recent work we found that the scalar stars are transient due to a non-axisymmetric instability which triggers the loss of angular momentum. We further study the dynamical formation of SBSs using 3-dimensional numerical-relativity simulations of the Einstein-(massive, complex)Klein-Gordon system and of the Einstein-(complex)Proca system. We incorporate a quartic self-interaction potential in the scalar case to gauge its effect on the instability; we investigate (m=2) Proca stars to assess their stability; we attempt to relate the instability …

FOS: Physical sciencesGeneral Relativity and Quantum Cosmology (gr-qc)General Relativity and Quantum Cosmology
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Ohmic Contacts on p-Type Al-Implanted 4H-SiC Layers after Different Post-Implantation Annealings

2019

This paper reports on the electrical activation and Ohmic contact properties on p-type Al-implanted silicon carbide (4H-SiC). In particular, the contacts were formed on 4H-SiC-implanted layers, subjected to three different post-implantation annealing processes, at 1675 &deg

FabricationMaterials science4H-SiCAnnealing (metallurgy)02 engineering and technology01 natural scienceslcsh:TechnologyArticlechemistry.chemical_compound0103 physical sciencesSilicon carbideGeneral Materials ScienceComposite materiallcsh:MicroscopyOhmic contactlcsh:QC120-168.85010302 applied physicsion-implantationDopantlcsh:QH201-278.5lcsh:TContact resistanceohmic contacts021001 nanoscience & nanotechnologyAcceptor3. Good healthIon implantationchemistrylcsh:TA1-2040lcsh:Descriptive and experimental mechanicslcsh:Electrical engineering. Electronics. Nuclear engineering0210 nano-technologylcsh:Engineering (General). Civil engineering (General)lcsh:TK1-9971Materials
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ATLAS technical coordination expert system

2019

When planning an intervention on a complex experiment like ATLAS, the detailed knowledge of the system under intervention and of the interconnection with all the other systems is mandatory. In order to improve the understanding of the parties involved in an intervention, a rule-based expert system has been developed. On the one hand this helps to recognise dependencies that are not always evident and on the other hand it facilitates communication between experts with different backgrounds by translating between vocabularies of specific domains. To simulate an event this tool combines information from different areas such as detector control (DCS) and safety (DSS) systems, gas, cooling, vent…

Fault tree analysisElectric power distributionbusiness.industryEvent (computing)PhysicsQC1-999Control (management)computer.software_genreExpert systemHuman–computer interactionUser interfaceGraphicsInference enginebusinesscomputerParticle Physics - Experiment
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Classification of Heart Sounds Using Convolutional Neural Network

2020

Heart sounds play an important role in the diagnosis of cardiac conditions. Due to the low signal-to-noise ratio (SNR), it is problematic and time-consuming for experts to discriminate different kinds of heart sounds. Thus, objective classification of heart sounds is essential. In this study, we combined a conventional feature engineering method with deep learning algorithms to automatically classify normal and abnormal heart sounds. First, 497 features were extracted from eight domains. Then, we fed these features into the designed convolutional neural network (CNN), in which the fully connected layers that are usually used before the classification layer were replaced with a global averag…

Feature engineeringComputer science0206 medical engineeringconvolutional neural networkneuroverkot02 engineering and technologyOverfittingConvolutional neural networklcsh:Technologylcsh:Chemistry0202 electrical engineering electronic engineering information engineeringFeature (machine learning)General Materials ScienceSensitivity (control systems)sydäntauditInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer Processesbusiness.industrylcsh:TProcess Chemistry and TechnologyDeep learning020208 electrical & electronic engineeringGeneral EngineeringPattern recognitiondiagnostiikkaMatthews correlation coefficientautomatic heart sound classification020601 biomedical engineeringlcsh:QC1-999Computer Science Applicationsfeature engineeringkoneoppiminenlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Heart soundsArtificial intelligencetiedonlouhintabusinesslcsh:Engineering (General). Civil engineering (General)lcsh:PhysicsApplied Sciences
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Simultaneous measurement of the muon neutrino charged-current cross section on oxygen and carbon without pions in the final state at T2K

2020

Authors: K. Abe,56 N. Akhlaq,45 R. Akutsu,57 A. Ali,32 C. Alt,11 C. Andreopoulos,54,34 L. Anthony,21 M. Antonova,19 S. Aoki,31 A. Ariga,2 T. Arihara,59 Y. Asada,69 Y. Ashida,32 E. T. Atkin,21 Y. Awataguchi,59 S. Ban,32 M. Barbi,46 G. J. Barker,66 G. Barr,42 D. Barrow,42 M. Batkiewicz-Kwasniak,15 A. Beloshapkin,26 F. Bench,34 V. Berardi,22 L. Berns,58 S. Bhadra,70 S. Bienstock,53 S. Bolognesi,6 T. Bonus,68 B. Bourguille,18 S. B. Boyd,66 A. Bravar,13 D. Bravo Berguño,1 C. Bronner,56 S. Bron,13 A. Bubak,51 M. Buizza Avanzini ,10 T. Campbell,7 S. Cao,16 S. L. Cartwright,50 M. G. Catanesi,22 A. Cervera,19 D. Cherdack,17 N. Chikuma,55 G. Christodoulou,12 M. Cicerchia,24,† J. Coleman,34 G. Collazu…

Fermi gasPhysics::Instrumentation and DetectorsMonte Carlo methodmeasured [channel cross section]KAMIOKANDEmuon neutrino01 natural sciencesPhysics Particles & FieldsHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)secondary beam [neutrino/mu][PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Particle Physics ExperimentsMuon neutrinoQDCharged currentQCPhysicsneutrino: energy spectrumJ-PARC LabPhysicsinteraction [neutrino nucleus]T2K experimentoscillation [neutrino]Monte Carlo [numerical calculations]suppressionNuclear & Particles PhysicskinematicsPhysical Sciences0202 Atomic Molecular Nuclear Particle and Plasma PhysicsGround statenumerical calculations: Monte Carlochannel cross section: measuredParticle Physics - Experiment530 PhysicsFOS: Physical sciencesAstronomy & Astrophysics530Nuclear physicsPionnear detector0103 physical sciencessimultaneous measurement0201 Astronomical and Space SciencesSCATTERINGddc:530010306 general physicsNeutrino oscillation0206 Quantum Physicscross section: charged currentMuonScience & Technologynucleus: ground stateNUCLEI010308 nuclear & particles physicsnucleus: targethep-excarbonenergy spectrum [neutrino]neutrino nucleus: interactionground state [nucleus]neutrino/mu: secondary beamtarget [nucleus]random phase approximationcharged current [cross section]High Energy Physics::Experimentneutrino: oscillationoxygenexperimental resultsPhysical Review D
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Symmetric logarithmic derivative of Fermionic Gaussian states

2018

In this article we derive a closed form expression for the symmetric logarithmic derivative of Fermionic Gaussian states. This provides a direct way of computing the quantum Fisher Information for Fermionic Gaussian states. Applications ranges from quantum Metrology with thermal states and non-equilibrium steady states with Fermionic many-body systems.

Fermionic Gaussian stateSettore FIS/02 - Fisica Teorica Modelli E Metodi Matematiciquantum geometric informationHigh Energy Physics::LatticeGaussianFOS: Physical sciencesGeneral Physics and Astronomylcsh:Astrophysicsquantum metrology; Fermionic Gaussian state; quantum geometric informationcondensed_matter_physics01 natural sciencesArticle010305 fluids & plasmassymbols.namesakeQuantum mechanicslcsh:QB460-4660103 physical sciencesThermalQuantum metrologyLogarithmic derivativelcsh:Science010306 general physicsMathematical physicsCondensed Matter::Quantum GasesPhysicsQuantum Physicsquantum metrologyQuantum fisher informationlcsh:QC1-999Range (mathematics)symbolslcsh:QClosed-form expressionQuantum Physics (quant-ph)lcsh:Physics
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Structure, Composition and Magnetic Properties of Ferrofluid Nanoparticles after Separation / Feromagnētisko Šķidrumu Nanodaļiņu Struktūras, Sastāva …

2013

Abstract The structure, composition and magnetic properties of iron oxide nanoparticles are studied as dependent on the synthesis technology and method of separation in ferrofluids. The goal of the present study is to improve the magnetic properties of wet-synthesized nanoparticles and achieve a narrow nanoparticle size distribution. The results of measurements show that by varying the conditions of the chemical coprecipitation method, different compositions and structures of the nanoparticles could be obtained. The separation of ferrite nanoparticles of a polydisperse colloid by centrifugation as well as by HGMS provides the possibility to obtain a nanoparticle set with narrow size distrib…

FerrofluidMaterials scienceChemical engineeringPhysicsQC1-999General EngineeringGeneral Physics and AstronomyNanoparticleferrofluidsmagnetic propertiesiron oxide nanoparticle structureLatvian Journal of Physics and Technical Sciences
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Graded-index optical fiber emulator of an interacting three-atom system: illumination control of particle statistics and classical non-separability

2019

[EN] We show that a system of three trapped ultracold and strongly interacting atoms in one-dimension can be emulated using an optical fiber with a graded-index profile and thin metallic slabs. While the wave-nature of single quantum particles leads to direct and well known analogies with classical optics, for interacting many-particle systems with unrestricted statistics such analoga are not straightforward. Here we study the symmetries present in the fiber eigenstates by using discrete group theory and show that, by spatially modulating the incident field, one can select the atomic statistics, i.e., emulate a system of three bosons, fermions or two bosons or fermions plus an additional di…

Few atom systemsPhysics and Astronomy (miscellaneous)FOS: Physical sciencesGraded index optical fiber01 natural sciencesUltracold atoms010309 opticsQuantum simulatorsPolitical science0103 physical sciencesEuropean commission010306 general physicsCondensed Matter::Quantum GasesQuantum PhysicsAtomic and Molecular Physics and Opticslcsh:QC1-999Photonic crystal fibersQuantum Gases (cond-mat.quant-gas)Christian ministryQuantum Physics (quant-ph)MATEMATICA APLICADACondensed Matter - Quantum GasesHumanitieslcsh:PhysicsOptics (physics.optics)Physics - OpticsQuantum
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Observation of Photon Polarization in theb→sγTransition

2014

This Letter presents a study of the flavor-changing neutral current radiative $B^{\pm} \to K^{\pm}\pi^{\mp}\pi^{\pm}\gamma$ decays performed using data collected in proton-proton collisions with the LHCb detector at $7$ and $8\,$TeV center-of-mass energies. In this sample, corresponding to an integrated luminosity of $3\,\text{fb}^{-1}$, nearly $14\,000$ signal events are reconstructed and selected, containing all possible intermediate resonances with a $K^{\pm}\pi^{\mp}\pi^{\pm}$ final state in the $[1.1, 1.9]\,$GeV/$c^{2}$ mass range. The distribution of the angle of the photon direction with respect to the plane defined by the final-state hadrons in their rest frame is studied in interva…

Final statePhotonmedia_common.quotation_subject14.40.NdHadronGeneral Physics and AstronomyLHCb - Abteilung Hofmann12.15.MmAsymmetryHigh energy physics Polarization Tellurium compounds; Center-of-mass energies Direct observations Final state Flavor-changing neutral current Integrated luminosity Photon polarization Proton proton collisions; PhotonsNeutral currentNuclear physicsTellurium compoundsCenter-of-mass energiesPhysics and Astronomy (all)Flavor-changing neutral currentPolarizationPhoton polarizationLeptonic semileptonic and radiative decays of bottom mesonRadiative transferIntermediate stateSDG 7 - Affordable and Clean EnergyHigh energy physicsQCmedia_commonPhysicsIntegrated luminosityPhotons/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energyProton proton collisionsNeutral currentDirect observationsParticle physicsRest framePhoton polarizationLHCb13.20.HeBottom mesons (|B|>0)High Energy Physics::ExperimentLHCFísica de partículesExperimentsPhysical Review Letters
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Performance of Fine-Tuning Convolutional Neural Networks for HEp-2 Image Classification

2020

The search for anti-nucleus antibodies (ANA) represents a fundamental step in the diagnosis of autoimmune diseases. The test considered the gold standard for ANA research is indirect immunofluorescence (IIF). The best substrate for ANA detection is provided by Human Epithelial type 2 (HEp-2) cells. The first phase of HEp-2 type image analysis involves the classification of fluorescence intensity in the positive/negative classes. However, the analysis of IIF images is difficult to perform and particularly dependent on the experience of the immunologist. For this reason, the interest of the scientific community in finding relevant technological solutions to the problem has been high. Deep lea…

Fine-tuningComputer scienceautoimmune diseaseHEp-202 engineering and technologylcsh:TechnologyConvolutional neural network030218 nuclear medicine & medical imagingImage (mathematics)lcsh:Chemistry03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringautoimmune diseasesGeneral Materials Sciencelcsh:QH301-705.5InstrumentationFluid Flow and Transfer ProcessesContextual image classificationReceiver operating characteristiclcsh:Tbusiness.industryProcess Chemistry and TechnologyDeep learningGeneral EngineeringCNNsdeep learningPattern recognitionGold standard (test)lcsh:QC1-999Settore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)IIF testComputer Science Applicationslcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Feature (computer vision)020201 artificial intelligence & image processingArtificial intelligencelcsh:Engineering (General). Civil engineering (General)businessfine-tuninglcsh:PhysicsCNNfeatures extractorApplied Sciences
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