0000000000677134

AUTHOR

P Oliva

showing 5 related works from this author

The Pierre Auger Observatory scaler mode for the study of solar activity modulation of galactic cosmic rays

2011

Since data-taking began in January 2004, the Pierre Auger Observatory has been recording the count rates of low energy secondary cosmic ray particles for the self-calibration of the ground detectors of its surface detector array. After correcting for atmospheric effects, modulations of galactic cosmic rays due to solar activity and transient events are observed. Temporal variations related with the activity of the heliosphere can be determined with high accuracy due to the high total count rates. In this study, the available data are presented together with an analysis focused on the observation of Forbush decreases, where a strong correlation with neutron monitor data is found.

[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE][PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]010504 meteorology & atmospheric sciencesCherenkov detectorAuger ExperimentAstronomyAstrophysics::High Energy Astrophysical PhenomenaCosmic rayParticle detectorsAstrophysics01 natural sciencesCosmic RayCHERENKOV DETECTORAugerlaw.inventionlaw0103 physical sciencesCherenkov detectors; Large detector systems for particle and astroparticle physics; Particle detectorsBURSTSWATERForbush decreaseUltra-high-energy cosmic ray010303 astronomy & astrophysicsGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)InstrumentationMathematical Physics0105 earth and related environmental sciencesPhysicsPierre Auger ObservatoryFÍSICA DE PARTÍCULASNeutron monitorLarge detector systems for particle and astroparticle physicsPhysics[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Cherenkov detectorsAstrophysics::Instrumentation and Methods for AstrophysicsAstronomyFísica[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]Solar activtyExperimental High Energy PhysicsLarge detector systems for particle and astroparticle physicFísica nuclearParticle detectorHeliosphereJournal of Instrumentation
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Distributed medical images analysis on a Grid infrastructure

2007

In this paper medical applications on a Grid infrastructure, the MAGIC-5 Project, are presented and discussed. MAGIC-5 aims at developing Computer Aided Detection (CADe) software for the analysis of medical images on distributed databases by means of GRID Services. The use of automated systems for analyzing medical images improves radiologists’ performance; in addition, it could be of paramount importance in screening programs, due to the huge amount of data to check and the cost of related manpower. The need for acquiring and analyzing data stored in different locations requires the use of Grid Services for the management of distributed computing resources and data. Grid technologies allow…

GRID; Virtual Organization; Medical ApplicationsComputer Networks and CommunicationsComputer scienceVirtual organizationmammographyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONcomputer.software_genreGRID; virtual organization; CAD; mammography; medical applicationsSoftwareComputer aided diagnosimedicineMammographyCADComputer visionGridLung tumorDistributed databasemedicine.diagnostic_testmedical applicationsbusiness.industryDigital imagingGridDigital imagingHardware and ArchitectureImage analysiArtificial intelligenceData miningAlzheimer diseasevirtual organizationGRIDbusinesscomputerSoftwareMammography
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Erratum: The lateral trigger probability function for the ultra-high energy cosmic ray showers detected by the Pierre Auger Observatory (Astroparticl…

2012

The Fig. 7, originally consisting of 4 panels, was truncated in the printed version (the last panel was missing). The complete version is printed again

Astronomy and Astrophysics
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Anisotropy and chemical composition of ultra-high energy cosmic rays using arrival directions measured by the Pierre Auger Observatory

2011

The Pierre Auger Collaboration has reported evidence for anisotropy in the distribution of arrival directions of the cosmic rays with energies $E>E_{th}=5.5\times 10^{19}$ eV. These show a correlation with the distribution of nearby extragalactic objects, including an apparent excess around the direction of Centaurus A. If the particles responsible for these excesses at $E>E_{th}$ are heavy nuclei with charge $Z$, the proton component of the sources should lead to excesses in the same regions at energies $E/Z$. We here report the lack of anisotropies in these directions at energies above $E_{th}/Z$ (for illustrative values of $Z=6,\ 13,\ 26$). If the anisotropies above $E_{th}$ are du…

ACTIVE GALACTIC NUCLEI[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]ProtonAstronomyAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencescosmic ray experimentAcceleration (differential geometry)Cosmic rayultra high energy cosmic rays; cosmic ray experimentsultra high energy cosmic rays7. Clean energy01 natural sciencesultra high energy cosmic rayAugerNuclear physics0103 physical sciencesUltra-high-energy cosmic ray010306 general physicsAnisotropyNuclear ExperimentDETECTORHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsPierre Auger ObservatorySPECTRUM010308 nuclear & particles physicsPhysics[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]FísicaCharge (physics)Astronomy and Astrophysics13. Climate actionExperimental High Energy PhysicsComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearcosmic ray experimentsAstrophysics - High Energy Astrophysical PhenomenaJournal of Cosmology and Astroparticle Physics
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A completely automated CAD system for mass detection in a large mammographic database.

2006

Mass localization plays a crucial role in computer-aided detection (CAD) systems for the classification of suspicious regions in mammograms. In this article we present a completely automated classification system for the detection of masses in digitized mammographic images. The tool system we discuss consists in three processing levels: (a) Image segmentation for the localization of regions of interest (ROIs). This step relies on an iterative dynamical threshold algorithm able to select iso-intensity closed contours around gray level maxima of the mammogram. (b) ROI characterization by means of textural features computed from the gray tone spatial dependence matrix (GTSDM), containing secon…

Databases FactualInformation Storage and RetrievalReproducibility of ResultsBreast NeoplasmsSensitivity and SpecificityNeural networkPattern Recognition AutomatedRadiographic Image EnhancementBreast cancerTextural featuresRadiology Information SystemsImage processingComputer-aided detection (CAD)Artificial IntelligenceCluster AnalysisDatabase Management SystemsHumansRadiographic Image Interpretation Computer-AssistedFemaleBreast cancer; Computer-aided detection (CAD); Image processing; Mammographic mass detection; Neural network; Textural featuresMammographic mass detectionAlgorithmsMammographyMedical physics
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