Search results for "Cherenkov counter"

showing 3 items of 13 documents

Measurement of the average shape of longitudinal profiles of cosmic-ray air showers at the Pierre Auger Observatory

2019

The profile of the longitudinal development of showers produced by ultra-high energy cosmic rays carries information related to the interaction properties of the primary particles with atmospheric nuclei. In this work, we present the first measurement of the average shower profile in traversed atmospheric depth at the Pierre Auger Observatory. The shapes of profiles are well reproduced by the Gaisser-Hillas parametrization within the range studied, for E>10 17.8 eV .A detailed analysis of the systematic uncertainties is performed using ten years of data and a full detector simulation. The average shape is quantified using two variables related to the width and asymmetry of the profile, and …

p: showersphoton: Cherenkovinteraction: modelAstronomyHadronpiastro-ph.HE; astro-ph.HE01 natural sciencesnitrogenironParametrization (atmospheric modeling)Monte Carlomedia_commonPhysicsastro-ph.HEHigh Energy Astrophysical Phenomena (astro-ph.HE)Range (particle radiation)photomultiplierSettore FIS/01 - Fisica SperimentaleDetectorAstrophysics::Instrumentation and Methods for AstrophysicsDETETOREScosmic rays detectors; ultra high energy cosmic rays; Astronomy and AstrophysicsAugerobservatorycosmic rays detectorscosmic rays detectors; ultra high energy cosmic raysgeometricalAstrophysics - High Energy Astrophysical PhenomenaasymmetrylongitudinalCherenkov counter: waterairmedia_common.quotation_subjectAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesCosmic rayheliumultra high energy cosmic raysnucleus: atmosphereAsymmetry0103 physical sciencesHigh Energy Physicscosmic radiation: UHEcosmic rays detectorFLUORESCENCEAstrophysiquePierre Auger Observatoryelectron positronshowers: atmosphere010308 nuclear & particles physicsbackgrounddetector: surfaceshowers: spatial distributionparametrizationAstronomy and AstrophysicsAstronomieComputational physics13. Climate actiongamma rayExperimental High Energy Physics[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Energy (signal processing)Journal of Cosmology and Astroparticle Physics
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The PANDA Endcap Disc DIRC

2018

Journal of Instrumentation 13(02), C02002 - C02002 (2018). doi:10.1088/1748-0221/13/02/C02002

particle identification [K]Physics::Instrumentation and Detectors61001 natural sciencesDIRCK: particle identificationOpticsPionDetection of internally reflected Cherenkov light0103 physical sciencesparticle identification [pi]ddc:610010306 general physicsNuclear ExperimentInstrumentationMathematical PhysicsCherenkov radiationPhysicsCherenkov counter: designRange (particle radiation)010308 nuclear & particles physicsbusiness.industryPANDADetectorSolid angleDESYLight guideTest beamdesign [Cherenkov counter]Radiator (engine cooling)Facility for Antiproton and Ion ResearchHigh Energy Physics::ExperimentPhotonicsbusinesspi: particle identificationperformance
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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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