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showing 10 items of 580 documents

Schematic and realistic model calculations of the isovector spin monopole excitations in 116In

2012

The excitation of Gamow-Teller (GT) and isovector spin monopole (IVSM) Jπ=1+ modes in 116In by (p,n) and (n,p) charge-exchange reactions on 116Cd and on 116Sn, respectively, is studied within the framework of the quasiparticle random-phase approximation. The calculations have been performed both for schematic and realistic model situations. It appears that the calculated admixture of the IVSM and Gamow-Teller (GT) Jπ=1+ excitations is negligible and that the contribution to the strength above 20 MeV of excitation energy, in 116In, is due to the IVSM (σr2t ±) mode. This result is compared with the recent experimental work that reported a large amount of both (p,n) and (n,p) strength beyond 1…

PhysicsNuclear and High Energy Physicsta114IsovectorCondensed matter physicsCiencias FísicasMagnetic monopoleFísicaRadial dependence//purl.org/becyt/ford/1.3 [https]Astronomía//purl.org/becyt/ford/1 [https]Double beta decaySpin and isospin excitationsQuasiparticleExperimental workAtomic physicsExcitationEnergy (signal processing)CIENCIAS NATURALES Y EXACTASSpin-½
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Twisted-Light-Ion Interaction: The Role of Longitudinal Fields.

2017

The propagation of light beams is well described using the paraxial approximation, where field components along the propagation direction are usually neglected. For strongly inhomogeneous or shaped light fields, however, this approximation may fail, leading to intriguing variations of the light-matter interaction. This is the case of twisted light having opposite orbital and spin angular momenta. We compare experimental data for the excitation of a quadrupole transition in a single trapped $^{40}$Ca$^+$ ion by Schmiegelow et al, Nat.\ Comm.\ 7, 12998 (2016), with a complete model where longitudinal components of the electric field are taken into account. Our model matches the experimental d…

Physicsbusiness.industryCiencias FísicasParaxial approximationÓptica CuánticaGeneral Physics and AstronomyFOS: Physical sciences//purl.org/becyt/ford/1.3 [https]01 natural sciencesIon010309 opticsAstronomía//purl.org/becyt/ford/1 [https]OpticsLight propagationFísica Atomica0103 physical sciencesLight beamHaces Estructurados010306 general physicsbusinessCIENCIAS NATURALES Y EXACTASPhysics - OpticsOptics (physics.optics)Physical review letters
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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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Une relation trophique originale : la vection entomophile d'agents pathogènes

2013

Bgpi : équipe 6 chapitre 34; Une relation trophique originale : la vection entomophile d'agents pathogènes

Plante hôteInsectahttp://aims.fao.org/aos/agrovoc/c_2615[SDV]Life Sciences [q-bio]Relation plante animalVertèbreÉvolutionRelation hôte pathogènehttp://aims.fao.org/aos/agrovoc/c_26802virusAgent pathogènePhytoplasmehttp://aims.fao.org/aos/agrovoc/c_5985http://aims.fao.org/aos/agrovoc/c_34142[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyhttp://aims.fao.org/aos/agrovoc/c_8196[SDV.BV] Life Sciences [q-bio]/Vegetal Biologypathologie végétaleTransmission des maladieshttp://aims.fao.org/aos/agrovoc/c_11621ComputingMilieux_MISCELLANEOUSH20 - Maladies des planteshttp://aims.fao.org/aos/agrovoc/c_2329Contrôle de maladieshttp://aims.fao.org/aos/agrovoc/c_2745http://aims.fao.org/aos/agrovoc/c_2327Virus des végétauxH10 - Ravageurs des plantesMaladie transmise par vecteur[SDV] Life Sciences [q-bio]Épidémiologiehttp://aims.fao.org/aos/agrovoc/c_5630http://aims.fao.org/aos/agrovoc/c_3890Vecteur de maladieEntomologiemaladie viraleSciences du vivanthttp://aims.fao.org/aos/agrovoc/c_8164http://aims.fao.org/aos/agrovoc/c_34017http://aims.fao.org/aos/agrovoc/c_2588http://aims.fao.org/aos/agrovoc/c_32513Biologie végétale
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Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

2021

From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia…

Population -- Health aspectsLeannessBaixo peso/UnderweightnoneDouble burdenalipainoisuustulotasoglobal healthsystematic analysisSedentary behaviorsRC1200Prospective associations0302 clinical medicineunderweightnälänhätäBiology (General)skin and connective tissue diseasesChildrenComputingMilieux_MISCELLANEOUSBody mass indexHuman Nutrition & Healtheducation.field_of_studyHumane Voeding & GezondheidylipainoGeneral Medicinekansainvälinen vertailu3. Good healthWorld healthMedicineA100 Pre-clinical MedicinePopulation distributionmedicine.medical_specialtyQH301-705.5ScienceSocio-culturaleNursing.Social sciencesGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesThinnessSDG 3 - Good Health and Well-beingBMI; epidemiology; global health; none; obesity; underweightNoneHumansObesidade/ObesitySDG 2 - Zero HungereducationVLAGUS adultsOmvårdnadbody mass index; malnutrition; obesity underweightnutritional and metabolic diseasesmedicine.diseaseterveellisyysObesityFaculdade de Ciências SociaisBMI; epidemiology; global health; none; obesity; underweight; Body Mass Index; Humans; Obesity; Prevalence; Risk Factors; ThinnessGeneral BiochemistryWIASlihavuusunderweight ; obesity ; BMIBody mass indexRADemographyN.A.double burdenobesitySettore MED/09 - Medicina Internaalueelliset erotNutrition and DiseaseAnimal Nutrition[SDV]Life Sciences [q-bio]Medizin030204 cardiovascular system & hematology0601 Biochemistry and Cell BiologyChange distribution of body mass indexRisk FactorsRA0421Voeding en ZiekteEpidemiologyPrevalenceMedicine and Health SciencesGlobal healthÍndice de massa corporal/Body Mass Index030212 general & internal medicineUnderweightpainoindeksi2. Zero hungerGeneral NeuroscienceQRaliravitsemuselintarvikkeethealthPublic Health Global Health Social Medicine and EpidemiologyDiervoeding3142 Public health care science environmental and occupational health//purl.org/pe-repo/ocde/ford#3.01.03 [https]/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingChinese adultsepidemiologypooled analysisUnderweightmedicine.symptomDiet qualityB120 PhysiologyResearch Articletrends//purl.org/pe-repo/ocde/ford#1.06.03 [https]prevalencePopulationMothersGenetics and Molecular Biologybody mass indexmalnutrition3121 Internal medicineBMImedicineLife Scienceddc:6103125 Otorhinolaryngology ophthalmologyObesitykehonkoostumusNutritionAustralian adultsGeneral Immunology and Microbiology//purl.org/pe-repo/ocde/ford#3.01.04 [https]Ciências sociaisFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMalnutritionEpidemiology and Global Healthsense organsEstilos de Vida e Impacto na Saúde
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Schelling-Voter Model: An Application to Language Competition

2013

In this work we analyze the language competition problem by using an interacting agent-based model which interpolates the classical Schelling and Voter models. Briefly, an agent may change its place of residence or his language when he is surrounded by more individuals of the other kind than the ones he can tolerate. We analyze this dynamic process in terms of the free space to move in, the pressure to change the language, and the propensity to change location. We identify the different regimes and the relationship with the language competition problem. Fil: Caridi, Délida Inés. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Cálculo; Argentina. Consejo N…

Process (engineering)Computer scienceMatemáticasGeneral MathematicsApplied MathematicsVoter Model//purl.org/becyt/ford/1.1 [https]Voter modelSegregationGeneral Physics and AstronomyStatistical and Nonlinear PhysicsMatemática AplicadaFree spaceLanguage Competition//purl.org/becyt/ford/1 [https]MicroeconomicsCompetition (economics)Work (electrical)Schelling ModelResidenceCIENCIAS NATURALES Y EXACTAS
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Fundamental rights and the proportionality principle

2017

The paper assesses the widespread use of the test of proportionality in fundamental rights adjudication. While constitutional and human rights courts all over the world appear to be consistently engaged in deploying the test of proportionality in order to assess the permissibility of a given rights limitation, this approach is under severe criticism insofar as it is considered an attack to the very idea of fundamental rights. The paper will discuss this criticism of the use of proportionality, and will provide a defense of its use by courts in light of some basic features of the contemporary discourse of fundamental rights. El artículo evalúa el uso generalizado de la prueba de proporcional…

ProporcionalidadSettore IUS/20 - Filosofia Del DirittoDerechos fundamentales - limitación de derechos - proporcionalidadFundamental rights - limitations of rights - proportionality//purl.org/pe-repo/ocde/ford#5.05.00 [https]Limitación de derechosDerechos fundamentales
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Ancient proteins resolve the evolutionary history of Darwin's South American ungulates.

2015

No large group of recently extinct placental mammals remains as evolutionarily cryptic as the approximately 280 genera grouped as 'South American native ungulates'. To Charles Darwin, who first collected their remains, they included perhaps the 'strangest animal[s] ever discovered'. Today, much like 180 years ago, it is no clearer whether they had one origin or several, arose before or after the Cretaceous/Palaeogene transition 66.2 million years ago, or are more likely to belong with the elephants and sirenians of superorder Afrotheria than with the euungulates (cattle, horses, and allies) of superorder Laurasiatheria. Morphology-based analyses have proved unconvincing because convergences…

ProteomicsAncient proteinsNotoungulataBiologíaPlacentaCiencias de la Tierra y relacionadas con el Medio Ambiente//purl.org/becyt/ford/1 [https]//purl.org/becyt/ford/1.5 [https]Genética y HerenciaPregnancyNotoungulataToxodonUngulateAfrotheriaPhylogenyMammalsMultidisciplinaryLaurasiatheriaLitopternabiologyAncient DNAFossilsLaurasiatheriaToxodonLitopternaFemaleCIENCIAS NATURALES Y EXACTAS1000UngulateZoologyPaleontologíaBone and BonesCollagen Type ICiencias BiológicasAnimalsAmino Acid Sequence//purl.org/becyt/ford/1.6 [https]BiologyPerissodactylaMAMMALIA2700MacraucheniaSouth Americabiology.organism_classificationCOLLAGEN (I)MacraucheniaAncient DNACattleMeteorología y Ciencias AtmosféricasZoologyAfrotheriaNature
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