Search results for "Particles"

showing 10 items of 8085 documents

Constraints on ultra-high-energy cosmic ray sources from a search for neutrinos above 10 PeV with IceCube

2016

We report constraints on the sources of ultra-high-energy cosmic ray (UHECR) above $10^{9}$ GeV, based on an analysis of seven years of IceCube data. This analysis efficiently selects very high energy neutrino-induced events which have deposited energies from $\sim 10^6$ GeV to above $10^{11}$ GeV. Two neutrino-induced events with an estimated deposited energy of $(2.6 \pm 0.3) \times 10^6$ GeV, the highest neutrino energies observed so far, and $(7.7 \pm 2.0) \times 10^5$ GeV were detected. The atmospheric background-only hypothesis of detecting these events is rejected at 3.6$\sigma$. The hypothesis that the observed events are of cosmogenic origin is also rejected at $>$99% CL because of…

FLUXSELECTIONFERMI-LATActive galactic nucleusCosmology and Nongalactic Astrophysics (astro-ph.CO)Astrophysics::High Energy Astrophysical PhenomenaGeneral Physics and AstronomyFOS: Physical sciencesCosmic rayAstrophysicsParameter space7. Clean energy01 natural sciencesCOSMOGENIC NEUTRINOS; TRACK RECONSTRUCTION; FERMI-LAT; BURSTS; SPECTRUM; MODEL; FLUX; TELESCOPES; SELECTION; EMISSIONPulsar0103 physical sciencesTRACK RECONSTRUCTIONBURSTSddc:550Ultrahigh energy010303 astronomy & astrophysicsPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)SPECTRUM010308 nuclear & particles physicsStar formationCOSMOGENIC NEUTRINOSAstrophysics::Instrumentation and Methods for AstrophysicsAstronomyMODELPhysics and Astronomy13. Climate actionTELESCOPESHigh Energy Physics::ExperimentNeutrinoAstrophysics - High Energy Astrophysical PhenomenaEMISSIONEnergy (signal processing)Astrophysics - Cosmology and Nongalactic Astrophysics
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Probing the origin of cosmic-rays with extremely high energy neutrinos using the IceCube Observatory

2013

We have searched for extremely high energy neutrinos using data taken with the IceCube detector between May 2010 and May 2012. Two neutrino induced particle shower events with energies around 1 PeV were observed, as reported previously. In this work, we investigate whether these events could originate from cosmogenic neutrinos produced in the interactions of ultra-high energy cosmic-rays with ambient photons while propagating through intergalactic space. Exploiting IceCube's large exposure for extremely high energy neutrinos and the lack of observed events above 100 PeV, we can rule out the corresponding models at more than 90% confidence level. The model independent quasi-differential 90% …

FLUXSELECTIONFERMI-LATNuclear and High Energy PhysicsCosmology and Nongalactic Astrophysics (astro-ph.CO)PhotonRadio galaxyAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesCosmic rayddc:500.2AstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsLIMIT01 natural sciencesIceCubeHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)Particle showerObservatory0103 physical sciencesddc:530010306 general physicsHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsSPECTRUMRange (particle radiation)COSMOGENIC NEUTRINOS010308 nuclear & particles physicsAstrophysics::Instrumentation and Methods for AstrophysicsAstronomyPERFORMANCECOMPONENTMODELPhysics and Astronomy13. Climate actionIntergalactic travelHigh Energy Physics::ExperimentNeutrinoAstrophysics - High Energy Astrophysical PhenomenaSYSTEMAstrophysics - Cosmology and Nongalactic AstrophysicsPhysical Review D
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Search for sterile neutrino mixing using three years of IceCube DeepCore data

2017

Physical review / D 95(11), 112002(2017). doi:10.1103/PhysRevD.95.112002

FLUXSterile neutrinoParticle physicsPhysics and Astronomy (miscellaneous)Physics::Instrumentation and DetectorsSolar neutrinoAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciences01 natural sciences530High Energy Physics - ExperimentOSCILLATION EXPERIMENTSHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)0103 physical sciencesTRACK RECONSTRUCTIONddc:530010306 general physicsNeutrino oscillationPhysics010308 nuclear & particles physicsHigh Energy Physics::PhenomenologyAstronomySolar neutrino problemLINE-EXPERIMENT-SIMULATORMODELHigh Energy Physics - PhenomenologyNeutrino detectorPhysics and AstronomyMeasurements of neutrino speedHigh Energy Physics::ExperimentNeutrino astronomyNeutrino
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First search for point sources of high-energy cosmic neutrinos with the ANTARES neutrino telescope

2011

Results are presented of a search for cosmic sources of high-energy neutrinos with the ANTARES neutrino telescope. The data were collected during 2007 and 2008 using detector configurations containing between 5 and 12 detection lines. The integrated live time of the analyzed data is 304 days. Muon tracks are reconstructed using a likelihood-based algorithm. Studies of the detector timing indicate a median angular resolution of 0.5 0.1deg. The neutrino flux sensitivity is 7.5 ¿ 10 -8(E ¿/ GeV) -2 GeV -1 s -1 cm -2 for the part of the sky that is always visible (¿ < -48deg), which is better than limits obtained by previous experiments. No cosmic neutrino sources have been observed.

FLUX[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Physics::Instrumentation and Detectorsmedia_common.quotation_subjectAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesFluxAstrophysics::Cosmology and Extragalactic AstrophysicsAstrophysics01 natural sciencesDeclinationneutrinos; cosmic rays; astroparticle physicscosmic rays0103 physical sciencesAngular resolutionALGORITHMNeutrinosDETECTOR010303 astronomy & astrophysicsCosmic raysmedia_commonHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsCOSMIC cancer databaseMuon010308 nuclear & particles physics[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]DetectorneutrinosASTRONOMYAstronomy and Astrophysicsastroparticle physics13. Climate actionSpace and Planetary ScienceSkyFISICA APLICADAddc:520Física nuclearHigh Energy Physics::ExperimentNeutrinoAstroparticle physicsAstrophysics - High Energy Astrophysical Phenomena
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A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory

2021

Continued improvements on existing reconstruction methods are vital to the success of high-energy physics experiments, such as the IceCube Neutrino Observatory. In IceCube, further challenges arise as the detector is situated at the geographic South Pole where computational resources are limited. However, to perform real-time analyses and to issue alerts to telescopes around the world, powerful and fast reconstruction methods are desired. Deep neural networks can be extremely powerful, and their usage is computationally inexpensive once the networks are trained. These characteristics make a deep learning-based approach an excellent candidate for the application in IceCube. A reconstruction …

FOS: Computer and information sciencesComputer Science - Machine LearningAstrophysics::High Energy Astrophysical Phenomenacs.LGData analysisFOS: Physical sciencesFitting methods01 natural sciencesConvolutional neural networkCalibration; Cluster finding; Data analysis; Fitting methods; Neutrino detectors; Pattern recognitionHigh Energy Physics - ExperimentIceCube Neutrino ObservatoryMachine Learning (cs.LG)High Energy Physics - Experiment (hep-ex)Pattern recognition0103 physical sciencesNeutrino detectors010303 astronomy & astrophysicsInstrumentationMathematical Physics010308 nuclear & particles physicsbusiness.industryhep-exDeep learningCluster findingDetectorNeutrino detectorComputer engineeringOrders of magnitude (time)13. Climate actionCascadeCalibrationPattern recognition (psychology)Artificial intelligencebusiness
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A novel approach to integration by parts reduction

2015

Integration by parts reduction is a standard component of most modern multi-loop calculations in quantum field theory. We present a novel strategy constructed to overcome the limitations of currently available reduction programs based on Laporta's algorithm. The key idea is to construct algebraic identities from numerical samples obtained from reductions over finite fields. We expect the method to be highly amenable to parallelization, show a low memory footprint during the reduction step, and allow for significantly better run-times.

FOS: Computer and information sciencesComputer Science - Symbolic ComputationHigh Energy Physics - TheoryPhysicsNuclear and High Energy Physics010308 nuclear & particles physicsFOS: Physical sciencesConstruct (python library)Symbolic Computation (cs.SC)01 natural scienceslcsh:QC1-999Computational scienceReduction (complexity)High Energy Physics - PhenomenologyHigh Energy Physics - Phenomenology (hep-ph)Finite fieldHigh Energy Physics - Theory (hep-th)Component (UML)0103 physical sciencesKey (cryptography)Memory footprintIntegration by partsAlgebraic number010306 general physicslcsh:PhysicsPhysics Letters B
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The IceProd framework: distributed data processing for the IceCube neutrino observatory

2015

IceCube is a one-gigaton instrument located at the geographic South Pole, designed to detect cosmic neutrinos, identify the particle nature of dark matter, and study high-energy neutrinos themselves. Simulation of the IceCube detector and processing of data require a significant amount of computational resources. This paper presents the first detailed description of IceProd, a lightweight distributed management system designed to meet these requirements. It is driven by a central database in order to manage mass production of simulations and analysis of data produced by the IceCube detector. IceProd runs as a separate layer on top of other middleware and can take advantage of a variety of c…

FOS: Computer and information sciencesMonitoringComputer scienceComputer Networks and CommunicationsDistributed computingData managementReal-time computingDistributed managementcomputer.software_genre01 natural sciencesData managementIceCube Neutrino ObservatoryTheoretical Computer ScienceIceCubeArtificial Intelligence0103 physical sciences010306 general physicsData processingData management; Distributed computing; Grid computing; Monitoring010308 nuclear & particles physicsbusiness.industryDistributed computingGrid computingComputer Science - Distributed Parallel and Cluster ComputingHardware and ArchitectureMiddleware (distributed applications)MiddlewareGrid computingParticleDistributed Parallel and Cluster Computing (cs.DC)Neutrinoddc:004businesscomputerSoftware
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Real-time computation of parameter fitting and image reconstruction using graphical processing units

2016

Abstract In recent years graphical processing units (GPUs) have become a powerful tool in scientific computing. Their potential to speed up highly parallel applications brings the power of high performance computing to a wider range of users. However, programming these devices and integrating their use in existing applications is still a challenging task. In this paper we examined the potential of GPUs for two different applications. The first application, created at Paul Scherrer Institut (PSI), is used for parameter fitting during data analysis of μ SR (muon spin rotation, relaxation and resonance) experiments. The second application, developed at ETH, is used for PET (Positron Emission T…

FOS: Computer and information sciencesMulti-core processorSpeedup010308 nuclear & particles physicsComputer scienceComputationFOS: Physical sciencesGeneral Physics and AstronomyIterative reconstructionComputational Physics (physics.comp-ph)Supercomputer01 natural sciences030218 nuclear medicine & medical imagingComputational science03 medical and health sciencesRange (mathematics)CUDA0302 clinical medicineComputer Science - Distributed Parallel and Cluster ComputingHardware and Architecture0103 physical sciencesSingle-coreDistributed Parallel and Cluster Computing (cs.DC)Physics - Computational PhysicsComputer Physics Communications
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Simulation-based marginal likelihood for cluster strong lensing cosmology

2015

Comparisons between observed and predicted strong lensing properties of galaxy clusters have been routinely used to claim either tension or consistency with $\Lambda$CDM cosmology. However, standard approaches to such cosmological tests are unable to quantify the preference for one cosmology over another. We advocate approximating the relevant Bayes factor using a marginal likelihood that is based on the following summary statistic: the posterior probability distribution function for the parameters of the scaling relation between Einstein radii and cluster mass, $\alpha$ and $\beta$. We demonstrate, for the first time, a method of estimating the marginal likelihood using the X-ray selected …

FOS: Computer and information sciencesSTATISTICAL [METHODS]Cold dark matterCosmology and Nongalactic Astrophysics (astro-ph.CO)NUMERICAL [METHODS]Ciencias FísicasPosterior probabilityFOS: Physical sciencesAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesStatistics - ApplicationsCosmologymethods: numerical//purl.org/becyt/ford/1 [https]cosmology: theory0103 physical sciencesCluster (physics)Applications (stat.AP)Statistical physics010303 astronomy & astrophysicsInstrumentation and Methods for Astrophysics (astro-ph.IM)Galaxy clusterPhysicsmethods: statisticalgravitational lensing: strong; methods: numerical; methods: statistical; galaxies: clusters: general; cosmology: theory010308 nuclear & particles physicsgravitational lensing: strongAstronomy and AstrophysicsBayes factor//purl.org/becyt/ford/1.3 [https]STRONG [GRAVITATIONAL LENSING]RedshiftMarginal likelihoodAstronomíaTHEORY [COSMOLOGY]Space and Planetary Sciencegalaxies: clusters: generalPhysics - Data Analysis Statistics and ProbabilityCLUSTERS: GENERAL [GALAXIES]Astrophysics - Instrumentation and Methods for AstrophysicsData Analysis Statistics and Probability (physics.data-an)CIENCIAS NATURALES Y EXACTASAstrophysics - Cosmology and Nongalactic Astrophysics
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Features of the Energy Spectrum of Cosmic Rays above 2.5×10$^{18}$ eV Using the Pierre Auger Observatory

2020

We report a measurement of the energy spectrum of cosmic rays above $2.5{\times} 10^{18}$ eV based on $215,030$ events. New results are presented: at about $1.3{\times} 10^{19}$ eV, the spectral index changes from $2.51 \pm 0.03 \textrm{ (stat.)} \pm 0.05 \textrm{ (sys.)}$ to $3.05 \pm 0.05 \textrm{ (stat.)}\pm 0.10\textrm{ (sys.)}$, evolving to $5.1\pm0.3\textrm{ (stat.)} \pm 0.1\textrm{ (sys.)}$ beyond $5{\times} 10^{19}$ eV, while no significant dependence of spectral features on the declination is seen in the accessible range. These features of the spectrum can be reproduced in models with energy-dependent mass composition. The energy density in cosmic rays above $5{\times} 10^{18}$ eV …

FOS: Physical sciencespower spectrumGravitation and Astrophysics7. Clean energy01 natural sciences530energy dependencemass spectrumcosmic ray; astroparticle detectors; cosmic ray spectracosmic ray spectraastroparticle detectors5/30103 physical sciencesddc:530energy: densityUHE Cosmic Rays010303 astronomy & astrophysicscosmic rayHigh Energy Astrophysical Phenomena (astro-ph.HE)Ultra-high energy cosmic rays energy spectrum astrophysical implications Cherenkov detectorscosmic radiation: energy spectrum010308 nuclear & particles physicsPhysicsAugerobservatoryEnergy SpectrumspectralAstrophysics - High Energy Astrophysical Phenomena[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]energy spectrum [cosmic radiation]density [energy]
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