Search results for "Cern"

showing 10 items of 318 documents

K− over K+ multiplicity ratio for kaons produced in DIS with a large fraction of the virtual-photon energy

2018

The K$^{-}$ over K$^{+}$ multiplicity ratio is measured in deep-inelastic scattering, for the first time for kaons carrying a large fraction $z$ of the virtual-photon energy. The data were obtained by the COMPASS collaboration using a 160 GeV muon beam and an isoscalar $^6$LiD target. The regime of deep-inelastic scattering is ensured by requiring $Q^2>1$ (GeV/$c)^2$ for the photon virtuality and $W>5$ GeV/$c^2$ for the invariant mass of the produced hadronic system. Kaons are identified in the momentum range from 12 GeV/$c$ to 40 GeV/$c$, thereby restricting the range in Bjorken-$x$ to $0.010.75$. For very large values of $z$, $i.e.$ $z>0.8$, we observe the kaon multiplicity ratio to fall …

Hadron0 [higher-order]target: isoscalar01 natural sciencesCOMPASSdeep inelastic scattering [muon+ nucleon]High Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)K: multiplicityHigh Energy Physics - Phenomenology (hep-ph)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]isoscalar [target]Invariant massNuclear ExperimentBosonPhysicsQuantum chromodynamicsquark: fragmentation functionhigher-order: 0photonperturbation theory: higher-orderhep-phмюоныlcsh:QC1-999Bjorken [scaling]High Energy Physics - Phenomenologybeam [muon]рассеяниеfactorization [cross section]multiplicity [pi]Particle Physics - Experimentperturbation theory [quantum chromodynamics]Particle physicsNuclear and High Energy PhysicsMesonFOS: Physical sciencesratio [multiplicity]530fragmentation function [quark]x-dependencescaling: Bjorkencharged particle: multiplicityphase spacemultiplicity [charged particle][ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]виртуальные фотоны0103 physical sciencesddc:530universalityquantum chromodynamics: perturbation theory010306 general physicsParticle Physics - Phenomenologymuon+ nucleon: deep inelastic scatteringMuonmultiplicity: ratiopi: multiplicity010308 nuclear & particles physicshep-exmuon: beamMultiplicity (mathematics)cross section: factorizationCERN SPSDeep inelastic scatteringhigher-order [perturbation theory][PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]каоны[ PHYS.HPHE ] Physics [physics]/High Energy Physics - Phenomenology [hep-ph]High Energy Physics::Experimentmultiplicity [K]hadronizationlcsh:Physicsexperimental resultsPhysics Letters B
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Soft-dielectron excess in proton-proton collisions at $\sqrt{s}$ = 13 TeV

2021

Physical review letters 127(4), 042302 (2021). doi:10.1103/PhysRevLett.127.042302

HadronGeneral Physics and Astronomylow [transverse momentum]dielectron productionscattering [hadron hadron]01 natural sciencesSpectral lineQUARK-GLUON PLASMAHigh Energy Physics - ExperimentMany-body problemHigh Energy Physics - Experiment (hep-ex)ALICEscattering [p p][PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]multiplicityInvariant massDielectronNuclear Experiment (nucl-ex)Nuclear ExperimentNuclear Experimenthadron-hadron scatteringAU COLLISIONSPhysicsQuantum chromodynamicsbremsstrahlung: hadronicLarge Hadron Colliderradiation: thermalPhysicsMUON PAIRSPHOTON PRODUCTIONBremsstrahlungELECTRON-PAIR PRODUCTIONddc:hadron: decayCERN LHC CollkinematicsMASS DILEPTON PRODUCTIONmany-body problemMASS DILEPTON PRODUCTION; ELECTRON-PAIR PRODUCTION; SPACE-TIME EVOLUTION; ETA-MESON PRODUCTION; QUARK-GLUON PLASMA; PHOTON PRODUCTION; NUCLEUS COLLISIONS; AU COLLISIONS; P-BE; MUON PAIRShadron hadron: scatteringParticle Physics - ExperimentParticle physicsp p: scatteringETA-MESON PRODUCTIONtransverse momentum: lowFOS: Physical sciencesthermal [radiation]Physics and Astronomy(all)[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]5300103 physical sciencesSPACE-TIME EVOLUTIONddc:530Nuclear Physics - ExperimentMultiplicity (chemistry)010306 general physicsenhancementp nucleus: scatteringP-BEhadronic [bremsstrahlung]ALICE particle physics010308 nuclear & particles physicsALICE experimentparametrizationscattering [p nucleus]p p: scattering ; bremsstrahlung: hadronic ; transverse momentum: low ; p nucleus: scattering ; radiation: thermal ; hadron: decay ; hadron hadron: scattering ; CERN LHC Coll ; enhancement ; ALICE ; many-body problem ; parametrization ; multiplicity ; acceptance ; kinematics ; experimental results ; 13000 GeV-cms/nucleon13000 GeV-cms/nucleonHigh Energy Physics::ExperimentNUCLEUS COLLISIONSdecay [hadron]ALICE experiment dielectron production hadron-hadron scatteringacceptanceexperimental results
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Data from: Phylogenomics of Lophotrochozoa with consideration of systematic error

2021

Phylogenomic studies have improved understanding of deep metazoan phylogeny and show promise for resolving incongruences among analyses based on limited numbers of loci. One region of the animal tree that has been especially difficult to resolve, even with phylogenomic approaches, is relationships within Lophotrochozoa (the animal clade that includes molluscs, annelids, and flatworms among others). Lack of resolution in phylogenomic analyses could be due to insufficient phylogenetic signal, limitations in taxon and/or gene sampling, or systematic error. Here, we investigated why lophotrochozoan phylogeny has been such a difficult question to answer by identifying and reducing sources of sys…

Helobdella robustaGlycera dibranchiataMytilus edulisAnnelidaEntalina tetragonaLeptochiton asellusCerebratulus marginatusLoxosomella cf. viviparaGraptacme eboreaLineus longissimusmedicine and health careClymenella torquataRuditapes philippinarumNucella lapillusHaliotis rufescenslong branch attractionPlatyzoaBarentsia gracilisPriapulus caudatusLineus ruberAlitta virenssaturationProchaetoderma californicumLife SciencesPinctada fucataSchistosoma mansoniPolyzoaCephalothrix hongkongensisRhyssoplax olivaceusLoxosoma pectinaricolaPhascolosoma agassiziiAdineta vagaDrosophila melanogasterEntoproctaBugula neritinaPhoronis vancouverensisMedicineNovocrania anomalaVillosa lienosaDaphnia pulexSagitta sp.Pectinaria gouldiiSymbion americanusNuculana pernulaSepia esculentaEnucula tenuisSolemya velumLineus lacteusTubulanus polymorphus-StruckGnathostomula paradoxaBoccardia proboscideaMacellomenia schanderiLaevipilina hyalinaTubulanus polymorphus-HalanychBryozoaPomatoceros lamarckiiSepioteuthis lessonianaParanemertes peregrinaMalacobdella grossaHemithiris psittaceaLeptochiton rugatusTrochozoaBrachionus plicatilisSpathoderma clenchiLaqueus californicusPatella vulgataLottia giganteaCrepidula fornicataPhoronidaAplysia californicaGlottidia pyramidataPhoronis psammophilaSchmidtea mediterraneaAlexandromenia crassaBrachiopodaMegadasys sp.Octopus vulgarisCapitella teletaNeomenia carinatacompositional heterogeneityNemerteaPhenacolepas pulchellaGadila tolmieiMolluscaMacrodasys sp.Crassostrea gigasPedicellina cernuaTaenia pisiformisDosidicus gigasCephalothrix linearisSpiralia
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Data from: Phylogenomics of Lophotrochozoa with consideration of systematic error

2016

Phylogenomic studies have improved understanding of deep metazoan phylogeny and show promise for resolving incongruences among analyses based on limited numbers of loci. One region of the animal tree that has been especially difficult to resolve, even with phylogenomic approaches, is relationships within Lophotrochozoa (the animal clade that includes molluscs, annelids, and flatworms among others). Lack of resolution in phylogenomic analyses could be due to insufficient phylogenetic signal, limitations in taxon and/or gene sampling, or systematic error. Here, we investigated why lophotrochozoan phylogeny has been such a difficult question to answer by identifying and reducing sources of sys…

Helobdella robustaGlycera dibranchiataMytilus edulisAnnelidaEntalina tetragonaLeptochiton asellusCerebratulus marginatusLoxosomella cf. viviparaGraptacme eboreaLineus longissimusmedicine and health careClymenella torquataRuditapes philippinarumNucella lapillusHaliotis rufescenslong branch attractionPlatyzoaBarentsia gracilisPriapulus caudatusLineus ruberAlitta virenssaturationProchaetoderma californicumPinctada fucataSchistosoma mansoniLife sciencesPolyzoaCephalothrix hongkongensisRhyssoplax olivaceusLoxosoma pectinaricolaPhascolosoma agassiziiAdineta vagaDrosophila melanogasterEntoproctaBugula neritinaPhoronis vancouverensisMedicineNovocrania anomalaVillosa lienosaDaphnia pulexSagitta sp.Pectinaria gouldiiSymbion americanusNuculana pernulaSepia esculentaEnucula tenuisSolemya velumLineus lacteusTubulanus polymorphus-StruckGnathostomula paradoxaBoccardia proboscideaMacellomenia schanderiLaevipilina hyalinaTubulanus polymorphus-HalanychBryozoaPomatoceros lamarckiiSepioteuthis lessonianaParanemertes peregrinaMalacobdella grossaHemithiris psittaceaLeptochiton rugatusTrochozoaBrachionus plicatilisSpathoderma clenchiLaqueus californicusPatella vulgataLottia giganteaCrepidula fornicataPhoronidaAplysia californicaGlottidia pyramidataPhoronis psammophilaSchmidtea mediterraneaAlexandromenia crassaBrachiopodaMegadasys sp.Octopus vulgarisCapitella teletaNeomenia carinatacompositional heterogeneityNemerteaPhenacolepas pulchellaGadila tolmieiMolluscaMacrodasys sp.Crassostrea gigasPedicellina cernuaTaenia pisiformisDosidicus gigasCephalothrix linearisSpiralia
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Inclusive D-Meson Production at the LHC

2012

I present predictions for the inclusive production of $D$ mesons at the CERN LHC in the general-mass variable-flavor-number scheme at next-to-leading order. Numerical results are compared to data where available, and uncertainties to scale variations, parton distribution functions and charm mass are discussed. I point out that measurements at large rapidity have the potential to pin down models of intrinsic charm.

High Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)CERN LHC Collmass [charm]PhysicsHigh Energy Physics::PhenomenologyFOS: Physical sciencesHigh Energy Physics::ExperimentNuclear Experimentdistribution function [parton]numerical calculationsinclusive production [D]1 [higher-order]
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Wilson Loop Form Factors: A New Duality

2017

We find a new duality for form factors of lightlike Wilson loops in planar $\mathcal N=4$ super-Yang-Mills theory. The duality maps a form factor involving an $n$-sided lightlike polygonal super-Wilson loop together with $m$ external on-shell states, to the same type of object but with the edges of the Wilson loop and the external states swapping roles. This relation can essentially be seen graphically in Lorentz harmonic chiral (LHC) superspace where it is equivalent to planar graph duality. However there are some crucial subtleties with the cancellation of spurious poles due to the gauge fixing. They are resolved by finding the correct formulation of the Wilson loop and by careful analyti…

High Energy Physics - TheoryNuclear and High Energy PhysicsWilson loopgauge fixingHigh Energy Physics::LatticeFOS: Physical sciencesDuality (optimization)Type (model theory)Superspace01 natural sciencesSuperspacesspace: EuclideanGeneral Relativity and Quantum CosmologyWilson loopQuantum mechanics0103 physical sciencesMinkowski spacelcsh:Nuclear and particle physics. Atomic energy. RadioactivityMinkowskiScattering Amplitudes010306 general physicssuperspaceMathematical physicsGauge fixingPhysicsform factor010308 nuclear & particles physicsEuclidean space[PHYS.HTHE]Physics [physics]/High Energy Physics - Theory [hep-th]hep-thAnalytic continuationWilsonLoop (topology)chiralCERN LHC CollHigh Energy Physics - Theory (hep-th)’t Hooft and Polyakov loopslcsh:QC770-798dualitysupersymmetryParticle Physics - TheoryDuality in Gauge Field TheoriesLorentz
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The ATLAS Data Acquisition and High Level Trigger system

2016

Journal of Instrumentation 11(06), P06008 (2016). doi:10.1088/1748-0221/11/06/P06008

High level triggerComputer sciencedata acquisitionPhysics::Instrumentation and DetectorsLarge hadron collideronline filteringTrigger Concepts and Systems (Hardware and Software)Control and Monitor Systems Online01 natural sciencesOnline farms and online filteringData acquisitionRecopilación de datos[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Detectors and Experimental TechniquesInstrumentationMathematical PhysicsSettore FIS/01Online Farms and Online FilteringLarge Hadron ColliderControl and monitor systems onlineATLAS experimentATLASmedicine.anatomical_structureTrigger concepts and systems (hardware and software)Triggers and rulesComputer hardwareperformanceOnline farms andControl and monitor systems online; Data acquisition concepts; Online farms and online filtering; Trigger concepts and systems (hardware and software)Ciências Naturais::Ciências Físicas:Ciências Físicas [Ciências Naturais]Data Acquisition ConceptsATLAS detector; ATLAS experiment; CERN; Large Hadron ColliderATLAS experiment610Accelerator Physics and Instrumentation530LHC ATLAS High Energy Physics TriggerAtlas (anatomy)0103 physical sciencesmedicineddc:610ElectronicsInstrumentation (computer programming)Control and monitor systems online; Data acquisition concepts; Online farms and; online filtering; Trigger concepts and systems (hardware and software)010306 general physicsCiencias ExactasScience & Technology010308 nuclear & particles physicsbusiness.industryData acquisition conceptsFísicaAcceleratorfysik och instrumenteringtriggerSistema en líneaData flow diagrammonitoringHigh Energy Physics::Experimentbusiness
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Micropollutants throughout an integrated urban drainage model: Sensitivity and uncertainty analysis

2017

Abstract The paper presents the sensitivity and uncertainty analysis of an integrated urban drainage model which includes micropollutants. Specifically, a bespoke integrated model developed in previous studies has been modified in order to include the micropollutant assessment (namely, sulfamethoxazole – SMX). The model takes into account also the interactions between the three components of the system: sewer system (SS), wastewater treatment plant (WWTP) and receiving water body (RWB). The analysis has been applied to an experimental catchment nearby Palermo (Italy): the Nocella catchment. Overall, five scenarios, each characterized by different uncertainty combinations of sub-systems (i.e…

HydrologyMathematical modellingSettore ICAR/03 - Ingegneria Sanitaria-Ambientale0208 environmental biotechnologyContaminants of emerging concerns; Mathematical modelling; Monte Carlo simulations; Sensitivity analysis; Urban water quality; Water Science and TechnologyUrban water qualityEnvironmental engineering02 engineering and technologySorption coefficient010501 environmental sciences01 natural sciencesContaminants of emerging concern020801 environmental engineeringKey factorsWater bodySensitivity analysiEnvironmental scienceSewage treatmentSensitivity (control systems)DrainageMonte Carlo simulationUncertainty analysisUncertainty reduction theory0105 earth and related environmental sciencesWater Science and TechnologyJournal of Hydrology
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Émergence, développement et contacts de la société Cerny en bassin d'Yonne - Point des connaissances et voies de recherche

1994

International audience

ILE-DE-FRANCE[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and PrehistoryBOURGOGNELITHIQUE[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryCÉRAMIQUEPARUREPOTERIEHABITATCERNYComputingMilieux_MISCELLANEOUSBASSIN YONNENÉOLITHIQUE MOYEN I
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Characteristics of SARS-CoV-2 variants of concern B.1.1.7, B.1.351 or P.1: data from seven EU/EEA countries, weeks 38/2020 to 10/2021

2021

COVID study groups - PORTUGAL: Portuguese Laboratory Network for the Diagnosis of COVID-19 and Public Health Department of the Health Administrative Regions, Physicians that provided data and samples from suspected cases and SARS-CoV-2 genetic characterization. INSA laboratory team for the diagnosis of SARS-CoV-2. Algarve Biomedical Center and Unilabs. We compared 19,207 cases of SARS-CoV-2 variant B.1.1.7/S gene target failure (SGTF), 436 B.1.351 and 352 P.1 to non-variant cases reported by seven European countries. COVID-19 cases with these variants had significantly higher adjusted odds ratios for hospitalisation (B.1.1.7/SGTF: 1.7, 95% confidence interval (CI): 1.0-2.9; B.1.351: 3.6, 95…

Infecções Respiratórias2019-20 coronavirus outbreakmedicine.medical_specialtyCoronavirus disease 2019 (COVID-19)Critical CareEpidemiologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)variants of concernSettore MED/42 - Igiene Generale E Applicata03 medical and health sciences0302 clinical medicineVirologyInternal medicineMedicineHumansIntensive care admission030212 general & internal medicineCOVID-19; Europe; SARS-CoV-2; surveillance; variants of concern; Critical Care; Europe; Humans; COVID-19; SARS-CoV-2Surveillancebusiness.industrySARS-CoV-2030503 health policy & servicesPublic Health Environmental and Occupational HealthCOVID-19Odds ratioConfidence intervalEuropesurveillanceVariants of ConcernCOVID-19 Europe SARS-CoV-2 surveillance variants of concern0305 other medical sciencebusinessRapid CommunicationHuman
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