Search results for "Large"

showing 10 items of 2197 documents

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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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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A soil biodiversity survey coupled with the national soil quality monitoring network?

2021

International audience; Despite its importance for human activities, soil biodiversity remains largely unknown and threatened. Aware of the need for large-scale monitoring, we studied the feasibility to add a soil biodiversity survey (RMBS-Biodiversity) to the already existing French soil quality monitoring network (RMQS). We worked with soil biodiversity experts to couple RMBS-Biodiversity with RMQS i.e. to choose soil taxons and functions, the methodologies and the sampling design. According to the experts, the sampling design of RMQS fits with a soil biodiversitysurvey. We propose sampling protocols for i) bacteria and fungi, ii) protists, iii) nematodes, iv) mesofauna (particularly spri…

soil taxonsLarge-scale surveypracticesbiodiversity distributionsoil physical-chemical characteristicssoil functions[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study
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Spectroscopy of short-lived radioactive molecules

2020

Molecular spectroscopy offers opportunities for the exploration of the fundamental laws of nature and the search for new particle physics beyond the standard model1–4. Radioactive molecules—in which one or more of the atoms possesses a radioactive nucleus—can contain heavy and deformed nuclei, offering high sensitivity for investigating parity- and time-reversal-violation effects5,6. Radium monofluoride, RaF, is of particular interest because it is predicted to have an electronic structure appropriate for laser cooling6, thus paving the way for its use in high-precision spectroscopic studies. Furthermore, the effects of symmetry-violating nuclear moments are strongly enhanced5,7–9 in molecu…

spektroskopiacollinearnucl-ex01 natural sciences010305 fluids & plasmasRadiumchemistry.chemical_compoundIonizationExperimental nuclear physicsNuclear ExperimentPhysicsMultidisciplinaryLarge Hadron ColliderStable isotope rationew physics[PHYS.HTHE]Physics [physics]/High Energy Physics - Theory [hep-th]hep-thmolekyylithep-phradiumelectron: electric momentNuclear Physics - Theoryradioactivitymany-body problemElectronic structure of atoms and moleculesAtomic physicsydinfysiikkaParticle Physics - Theoryexceptionalnucl-th[PHYS.NUCL]Physics [physics]/Nuclear Theory [nucl-th]MonofluorideResearchInstitutes_Networks_Beacons/photon_science_institutechemistry.chemical_elementnucleus: structure functionElectronic structure[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]Photon Science InstituteArticle0103 physical sciencesionizationMoleculeNuclear Physics - Experiment010306 general physicsSpectroscopyenhancementParticle Physics - Phenomenologystabilitysensitivitylaserchemistry[PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph]Exotic atoms and moleculesnucleus: deformation
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The ALHAMBRA survey: evolution of galaxy clustering since z∼1

2014

We study the clustering of galaxies as function of luminosity and redshift in the range $0.35 &lt; z &lt; 1.25$ using data from the Advanced Large Homogeneous Area Medium Band Redshift Astronomical (ALHAMBRA) survey. The ALHAMBRA data used in this work cover $2.38 \mathrm{deg}^2$ in 7 independent fields, after applying a detailed angular selection mask, with accurate photometric redshifts, $��_z \lesssim 0.014 (1+z)$, down to $I_{\rm AB} &lt; 24$. Given the depth of the survey, we select samples in $B$-band luminosity down to $L^{\rm th} \simeq 0.16 L^{*}$ at $z = 0.9$. We measure the real-space clustering using the projected correlation function, accounting for photometric redshifts uncert…

statistical [Methods]Cosmology and Nongalactic Astrophysics (astro-ph.CO)FOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsCorrelation function (astronomy)01 natural sciencesPhysical cosmologyLuminosityLarge-scale structure of Universe.0103 physical sciencesRange (statistics)distances and redshifts [Galaxies]Sample variance10. No inequalitydata analysis [Methods]observations [Cosmology]010303 astronomy & astrophysicsAstrophysics::Galaxy AstrophysicsPhysics010308 nuclear & particles physicsAstronomyAstronomy and AstrophysicsGalaxyRedshiftSpace and Planetary ScienceHaloAstrophysics - Cosmology and Nongalactic Astrophysics
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THE ALHAMBRA SURVEY: EVOLUTION OF GALAXY SPECTRAL SEGREGATION

2016

arXiv:1601.03668v1

statistical [Methods]Cosmology and Nongalactic Astrophysics (astro-ph.CO)Large-scale structure of universeFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesMethods statisticalGalaxies: distances and redshiftsMethods: data analysis0103 physical sciencesdistances and redshifts [Galaxies]observations [Cosmology]data analysis [Methods]010303 astronomy & astrophysicsMethods: statisticalAstrophysics::Galaxy AstrophysicsComputingMilieux_MISCELLANEOUSPhysics[PHYS]Physics [physics]010308 nuclear & particles physicsCosmology: observationsFísicaAstronomy and AstrophysicsAstrophysics - Astrophysics of GalaxiesGalaxySpace and Planetary ScienceAstrophysics of Galaxies (astro-ph.GA)[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Astrophysics - Cosmology and Nongalactic Astrophysics
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Measuring galaxy segregation with the mark connection function

2010

(abridged) The clustering properties of galaxies belonging to different luminosity ranges or having different morphological types are different. These characteristics or `marks' permit to understand the galaxy catalogs that carry all this information as realizations of marked point processes. Many attempts have been presented to quantify the dependence of the clustering of galaxies on their inner properties. The present paper summarizes methods on spatial marked statistics used in cosmology to disentangle luminosity, colour or morphological segregation and introduces a new one in this context, the mark connection function. The methods used here are the partial correlation functions, includi…

statistical [Methods]Spatial correlationCosmology and Nongalactic Astrophysics (astro-ph.CO)Large-scale structure of UniversePopulationFOS: Physical sciencesContext (language use)AstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsCorrelation function (astronomy)UNESCO::ASTRONOMÍA Y ASTROFÍSICAUNESCO::ASTRONOMÍA Y ASTROFÍSICA::Otras especialidades astronómicasdata analysis [Methods]educationCluster analysisPartial correlationPhysicseducation.field_of_studyAstronomy and AstrophysicsFunction (mathematics)GalaxyLarge-scale structure of Universe; Methods : data analysis; Methods : statisticalSpace and Planetary Science:ASTRONOMÍA Y ASTROFÍSICA [UNESCO]:ASTRONOMÍA Y ASTROFÍSICA::Otras especialidades astronómicas [UNESCO]Astrophysics - Cosmology and Nongalactic Astrophysics
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Global analysis of the pMSSM in light of the Fermi GeV excess: prospects for the LHC Run-II and astroparticle experiments

2016

We present a new global fit of the 19-dimensional phenomenological Minimal Supersymmetric Standard Model (pMSSM-19) that comply with all the latest experimental results from dark matter indirect, direct and accelerator dark matter searches. We show that the model provides a satisfactory explanation of the excess of gamma-rays from the Galactic centre observed by the Fermi~Large Area Telescope, assuming that it is produced by the annihilation of neutralinos in the Milky Way halo. We identify two regions that pass all the constraints: the first corresponds to neutralinos with a mass ~80-100 GeV annihilating into WW with a branching ratio of 95% ; the second to heavier neutralinos, with mass ~…

supersymmetry and cosmologyParticle physicsMilky WayAstrophysics::High Energy Astrophysical PhenomenaDark matterFOS: Physical sciencesgamma ray experiments7. Clean energy01 natural sciences0202 Atomic Molecular Nuclear Particle And Plasma PhysicsHigh Energy Physics - Phenomenology (hep-ph)Settore FIS/05 - Astronomia e Astrofisica0103 physical sciencesHigh Energy Physics010306 general physicsGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)PhysicsAnnihilationLarge Hadron Colliderdark matter detectorsdark matter theory010308 nuclear & particles physicsBranching fractionHigh Energy Physics::Phenomenologyhep-phAstronomy and AstrophysicsNuclear & Particles Physics0201 Astronomical And Space SciencesHigh Energy Physics - Phenomenology13. Climate actionExperimental High Energy PhysicsHigh Energy Physics::ExperimentHaloFermi Gamma-ray Space TelescopeMinimal Supersymmetric Standard Model
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Einstein Versus Neutrinos

2013

This article focuses on the news coverage given to the CERN (European Organization for Nuclear Research) announcement that neutrinos might exceed the speed of light, flying in the face of Albert Einstein’s theory. By studying 140 cartoons about the news item published between the CERN’s announcement at the end of September 2011 up until its refutation in February 2012, we selected 33 devoted to Albert Einstein. We study the iconographic use of Einstein’s figure, and how the suggestion he might have been wrong stirred up greater interest among the cartoonists than when it was proven his ideas are still fully in force.

symbols.namesakeLarge Hadron ColliderSociology and Political ScienceMedia studiessymbolsFace (sociological concept)Media coverageSociologySocial scienceNeutrinoEinsteinSpeed of light (cellular automaton)Science Communication
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CERN IRRADIATION FACILITIES.

2017

CERN provides unique irradiation facilities for applications in dosimetry, metrology, intercomparison of radiation protection devices, benchmark of Monte Carlo codes and radiation damage studies to electronics.

säteilytysPhysics::Instrumentation and DetectorsComputer scienceNuclear engineeringPhysics::Medical PhysicsMonte Carlo methodRadiation Dosage01 natural sciences030218 nuclear medicine & medical imagingradiation physics03 medical and health sciences0302 clinical medicineRadiation ProtectionRadiation Monitoring0103 physical sciencesRadiation damageDosimetryHumansRadiology Nuclear Medicine and imagingComputer SimulationIrradiationNeutronsRadiationLarge Hadron Colliderta114irradiationRadiological and Ultrasound Technology010308 nuclear & particles physicsbusiness.industryPublic Health Environmental and Occupational HealthGeneral MedicineMetrologysäteilyfysiikkaBenchmark (computing)Physics::Accelerator PhysicsRadiation protectionbusinessMonte Carlo MethodRadiation protection dosimetry
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