Search results for " Experiment"

showing 10 items of 13414 documents

Young University Students’ Academic Self-Regulation Profiles and Their Associated Procrastination: Autonomous Functioning Requires Self-Regulated Ope…

2020

Students' autonomous self-regulation requires not only self-motivation but also volition or transforming motivation into specific behavioral intentions and following through. Self-regulation includes self-motivation (i.e., goal setting, learning from mistakes) and volitional regulation (i.e., strategic decision making). Furthermore, individual differences, like trait-level perseverance, significantly influence both motivation and volition. Procrastination has been defined as a volitional self-regulation problem, which involves delaying what one had intended to do, in spite of being motivated, and regardless of anticipating adverse consequences. Thus, it is a tendency toward dysregulated beh…

self-regulationstudentmedia_common.quotation_subjectlcsh:BF1-990050105 experimental psychologyStructural equation modeling03 medical and health sciences0302 clinical medicinewell-beingPsychology0501 psychology and cognitive sciencesautonomyGoal settingGeneral Psychologymedia_commonOriginal ResearchVolition (psychology)Autonomia de l'alumneyouthLearner autonomybusiness.industry05 social sciencesProcrastinationCognitionProcrastinationPersonal developmentlcsh:PsychologyWell-beingProcrastinacióprocrastinationbusinessPsychologySocial psychology030217 neurology & neurosurgeryAutonomyFrontiers in Psychology
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Cross section for bb¯ production via dielectrons in d + Au collisions at √sNN = 200 GeV

2015

We report a measurement of e+e− pairs from semileptonic heavy-flavor decays in d + Au collisions at √sNN = 200 GeV. By exploring the mass and transverse-momentum dependence of the yield, the bottom decay contribution can be isolated from charm, and quantified by comparison to PYTHIA and MC@NLO simulations. The resulting bb¯-production cross section is σdAu bb¯ = 1.37 ± 0.28 (stat) ± 0.46 (syst) mb, which is equivalent to a nucleon-nucleon cross section of σ NN bb = 3.4 ± 0.8 (stat) ± 1.1 (syst) μb. peerReviewed

semileptonic heavy-flavor decaysHigh Energy Physics::Phenomenologyd+Au collisions at sNN=200 GeVHigh Energy Physics::ExperimentNuclear Experimentmeasurement of e+e- pairs
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Charged jet cross sections and properties in proton-proton collisions at $\sqrt{s}=7$ TeV

2015

The differential charged jet cross sections, jet fragmentation distributions, and jet shapes are measured in minimum bias proton-proton collisions at centre-of-mass energy $\sqrt{s}=7$ TeV using the ALICE detector at the LHC. Jets are reconstructed from charged particle momenta in the mid-rapidity region using the sequential recombination $k_{\rm T}$ and anti-$k_{\rm T}$ as well as the SISCone jet finding algorithms with several resolution parameters in the range $R=0.2$ to $0.6$. Differential jet production cross sections measured with the three jet finders are in agreement in the transverse momentum ($p_{\rm T}$) interval $20<p_{\rm T}^{\rm jet,ch}<100$ GeV/$c$. They are also consistent w…

shapes:Kjerne- og elementærpartikkelfysikk: 431 [VDP]parton distributionsMonte Carlo methodP(P)OVER-BAR COLLISIONSALICE Charged jet proton-proton 7 TeVATLAS DETECTOR01 natural sciencesSpectral lineHigh Energy Physics - Experimentdifferential charged jet cross sectionENERGYHigh Energy Physics - Experiment (hep-ex)ALICEFragmentation (mass spectrometry)Nuclear and High Energy Physics differential charged jet cross sectionfragmentation[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear Experiment (nucl-ex)ROOT-S(NN)=2.76 TEVNuclear ExperimentNuclear Experimentroot-s(nn)=2.76 tevatlas detectorPhysicsLarge Hadron Collidercross sectionPhysicsDetectorCharged particle3. Good health:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]charged jetsPRIRODNE ZNANOSTI. Fizika.:Nuclear and elementary particle physics: 431 [VDP]SHAPESTransverse momentumHADRON-COLLISIONSFRAGMENTATIONpp collisionsenergyParticle physicsNuclear and High Energy PhysicsAstrophysics::High Energy Astrophysical PhenomenaCharged jetVDP::Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431FOS: Physical sciences[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]114 Physical sciencestransverse-momentumNuclear physicsMinimum bias(P)OVER-BAR-P COLLISIONS P(P)OVER-BAR COLLISIONS PP COLLISIONS PARTON DISTRIBUTIONS TRANSVERSE-MOMENTUM SHAPES ALGORITHM ENERGY0103 physical sciences7 TeVNuclear Physics - Experimentproton-protonALGORITHM010306 general physics(p)over-bar-p collisionsPP COLLISIONSta114(P)OVER-BAR-P COLLISIONSVDP::Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431010308 nuclear & particles physics:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]TRANSVERSE-MOMENTUMNATURAL SCIENCES. Physics.(p)over-bar-p collisions ; parton distributions ; transverse-momentum ; root-s(nn)=2.76 tev ; hadron-collisions ; atlas detector ; pp collisions ; fragmentation ; shapes ; energy ; charged jet ; cross section ; proton-proton ; 7 TeVhadron-collisionsPARTON DISTRIBUTIONSALICE; Charged jet; proton-proton; 7 TeVproton-proton collisionsHigh Energy Physics::Experimentcharged jet
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A comprehensive guide to the physics and usage of PYTHIA 8.3

2022

This manual describes the PYTHIA 8.3 event generator, the most recent version of an evolving physics tool used to answer fundamental questions in particle physics. The program is most often used to generate high-energy-physics collision "events", i.e. sets of particles produced in association with the collision of two incoming high-energy particles, but has several uses beyond that. The guiding philosophy is to produce and reproduce properties of experimentally obtained collisions as accurately as possible. The program includes a wide ranges of reactions within and beyond the Standard Model, and extending to heavy ion physics. Emphasis is put on phenomena where strong interactions play a ma…

showers [parton]numeeriset menetelmätnew physicskäsikirjatFOS: Physical scienceshiukkasfysiikkamanualprogrammingheavy ionHigh Energy Physics - ExperimentMonte Carlo -menetelmätHigh Energy Physics - PhenomenologyHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)PYTHIAquantum chromodynamicsalgoritmitinterfacekvanttiväridynamiikkaohjelmointinumerical calculationsMonte Carlo
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Deep-learning based reconstruction of the shower maximum X max using the water-Cherenkov detectors of the Pierre Auger Observatory

2021

The atmospheric depth of the air shower maximum $X_{\mathrm{max}}$ is an observable commonly used for the determination of the nuclear mass composition of ultra-high energy cosmic rays. Direct measurements of $X_{\mathrm{max}}$ are performed using observations of the longitudinal shower development with fluorescence telescopes. At the same time, several methods have been proposed for an indirect estimation of $X_{\mathrm{max}}$ from the characteristics of the shower particles registered with surface detector arrays. In this paper, we present a deep neural network (DNN) for the estimation of $X_{\mathrm{max}}$. The reconstruction relies on the signals induced by shower particles in the groun…

showers: energylongitudinal [showers]interaction: modelPhysics::Instrumentation and DetectorsAstronomyCalibration and fitting methods; Cluster finding; Data analysis; Large detector systems for particle and astroparticle physics; Particle identification methods; Pattern recognition01 natural sciencesHigh Energy Physics - ExperimentAugerHigh Energy Physics - Experiment (hep-ex)Particle identification methodscluster findingsurface [detector]ObservatoryLarge detector systemsInstrumentationMathematical PhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)astro-ph.HEPhysicsPattern recognition cluster finding calibration and fitting methodsPhysicsSettore FIS/01 - Fisica Sperimentalemodel [interaction]DetectorAstrophysics::Instrumentation and Methods for AstrophysicsData analysicalibration and fitting methodsenergy [showers]AugerobservatoryPattern recognition cluster finding calibration and fitting methodastroparticle physicsAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical Phenomenaatmosphere [showers]airneural networkAstrophysics::High Energy Astrophysical PhenomenaUHE [cosmic radiation]Data analysisFOS: Physical sciences610Cosmic raydetector: fluorescencePattern recognition0103 physical sciencesddc:530High Energy Physicsddc:610[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]cosmic radiation: UHEstructureparticle physicsnetwork: performance010306 general physicsInstrumentation and Methods for Astrophysics (astro-ph.IM)Ciencias ExactasCherenkov radiationfluorescence [detector]Pierre Auger ObservatoryCalibration and fitting methodsmass spectrum [nucleus]showers: atmospheredetector: surfacehep-ex010308 nuclear & particles physicsLarge detector systems for particle and astroparticle physicsCluster findingFísicaresolutioncalibrationComputational physicsperformance [network]Cherenkov counterAir showerLarge detector systems for particle and astroparticle physicExperimental High Energy PhysicsHigh Energy Physics::Experimentnucleus: mass spectrumshowers: longitudinalRAIOS CÓSMICOSEnergy (signal processing)astro-ph.IM
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Measurement of transverse energy at midrapidity in Pb-Pb collisions at √sNN = 2.76 TeV

2016

We report the transverse energy (ET) measured with ALICE at midrapidity in Pb-Pb collisions at √sNN = 2.76 TeV as a function of centrality. The transverse energy was measured using identified single-particle tracks. The measurement was cross checked using the electromagnetic calorimeters and the transverse momentum distributions of identified particles previously reported by ALICE. The results are compared to theoretical models as well as to results from other experiments. The mean ET per unit pseudorapidity (η), dET/dη , in 0%–5% central collisions is 1737 ± 6(stat.) ± 97(sys.) GeV. We find a similar centrality dependence of the shape of dET/dη as a function of the number of participating …

single-particle tracksPb-Pb collisionsHigh Energy Physics::ExperimentNuclear Experimenttransverse energy
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Regulación de la tasa de mutación en virus de DNA

2019

Los virus de DNA son extremadamente abundantes en todos los ecosistemas pero tradicionalmente se ha pensado que su grado de diversidad genética y adaptabilidad es mucho menor que el de los virus de RNA al presentar tasas de mutación inferiores. La tasa de mutación de algunos virus de DNA puede llegar a ser mil veces superior que la de su hospedador, incluso cuando el virus utiliza la polimerasa de la célula huésped para la replicación. A pesar de ello, existe muy poca información sobre las tasas de mutación de los virus de DNA. Es muy probable que una de las razones sea que las tecnologías de secuenciación de nueva generación (NGS), en muchos casos, presentan tasas de error que son órdenes …

sistema de reparación del DNAtasa de mutaciónUNESCO::CIENCIAS DE LA VIDAevolución experimentaldiversidad genéticaadenovirusmutación:CIENCIAS DE LA VIDA [UNESCO]
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La influencia del estado del partido en la posesión del balón en el fútbol femenino de alto rendimiento

2020

[Abstract] The objective of this study was to examine the effect of the situational match status variable on the ball possession of the teams that participated in the 2015 FIFA Women’s World Cup. The 52 games played during the championship have been collected, and 3,740 ball possessions made by the teams were analyzed. The teams have been divided into successful and unsuccessful. Three types of analysis have been carried out: a univariate analysis for both groups with the categorical and continuous variables selected; a bivariate analysis, using chi-square tests and the exact Fischer test; and finally, a multivariable technique such as the decision trees was incorporated. The available resu…

situational variablesFútbol femeninoDecision treesApplied psychologylcsh:BF1-990Decision treeVictoryBivariate analysisFootballÁrboles de decisión050105 experimental psychologySituational variablesContinuous variable03 medical and health sciences0302 clinical medicineball possessionDones esportistesSoccerPsychologyObservació (Mètode científic)0501 psychology and cognitive sciencesObservation (Scientific method)Championshipperformance analysisTop athletesCategorical variablematch statusGeneral PsychologyOriginal ResearchMatch statuswomen’s footballdecision treesBall possessionWomen athletes05 social sciencesPerformance analysisEsportistes d'elitlcsh:PsychologyFutbolEstado del partidoBall (bearing)Variables situacionalesPsychologyAnálisis de rendimientoPosesión del balónhuman activities030217 neurology & neurosurgeryWomen’s football
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"Table 1.8" of "Probing the effects of strong electromagnetic fields with charge-dependent directed flow in Pb-Pb collisions at the LHC"

2020

Slope Dv1 D0 meson 540%

slope Dv15023.0High Energy Physics::LatticeHigh Energy Physics::PhenomenologyNuclear TheoryHigh Energy Physics::ExperimentD0 mesonNuclear Experiment
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"Table 1.7" of "Probing the effects of strong electromagnetic fields with charge-dependent directed flow in Pb-Pb collisions at the LHC"

2020

Slope Dv1 charged hadrons 540%

slope Dv1hadrons5023.0Nuclear TheoryHigh Energy Physics::PhenomenologyHigh Energy Physics::ExperimentAstrophysics::Cosmology and Extragalactic AstrophysicsNuclear Experiment
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