Search results for "orf"

showing 10 items of 1406 documents

2021

Abstract We extend the classical Carathéodory extension theorem to quasiconformal Jordan domains (Y, dY ). We say that a metric space (Y, dY ) is a quasiconformal Jordan domain if the completion ̄Y of (Y, dY ) has finite Hausdorff 2-measure, the boundary ∂Y = ̄Y \ Y is homeomorphic to 𝕊1, and there exists a homeomorphism ϕ: 𝔻 →(Y, dY ) that is quasiconformal in the geometric sense. We show that ϕ has a continuous, monotone, and surjective extension Φ: 𝔻 ̄ → Y ̄. This result is best possible in this generality. In addition, we find a necessary and sufficient condition for Φ to be a quasiconformal homeomorphism. We provide sufficient conditions for the restriction of Φ to 𝕊1 being a quasi…

Surjective functionCombinatoricsMetric spaceApplied MathematicsDomain (ring theory)Hausdorff spaceBoundary (topology)Geometry and TopologyQuasicirclePlateau's problemAnalysisHomeomorphismMathematicsAnalysis and Geometry in Metric Spaces
researchProduct

PELIGROSIDAD A LOS MOVIMIENTOS DE LADERA EN LA VERTIENTE MERIDIONAL DE SIERRA NEVADA (GRANADA) A PARTIR DE LA ESTIMACIÓN MULTI-TÉCNICA DE LA ACTIVIDAD

2012

El presente trabajo aborda la cartografía de la susceptibilidad y la peligrosidad a los movimientos de ladera, en un ambiente montañoso, con información limitada sobre su actividad. El análisis y validación de la susceptibilidad se realizada mediante un modelo elaborado a partir del ModelBuilder™ de ArcGIS basado en el Método de la Matriz en un SIG. Dicho modelo necesita una cartografía previa de los movimientos, un MDE y un análisis discriminante de los factores determinantes de la estabilidad. Los datos del análisis reflejan que el 15% de la zona estudiada muestra una susceptibilidad a los movimientos de moderada a muy alta que, a su vez, coincide con lugares donde se encuentran la mayorí…

SusceptibilidadPeligrosidadPeriodo de RetornoSettore GEO/04 - Geografia Fisica E GeomorfologiaMovimientos de laderaSierra NevadaTécnicas de detección remota
researchProduct

On a Continuous Sárközy-Type Problem

2022

Abstract We prove that there exists a constant $\epsilon> 0$ with the following property: if $K \subset {\mathbb {R}}^2$ is a compact set that contains no pair of the form $\{x, x + (z, z^{2})\}$ for $z \neq 0$, then $\dim _{\textrm {H}} K \leq 2 - \epsilon $.

Szemerédi’s theoremfractalsGeneral Mathematicspolynomitpolynomial configurationsHausdorff dimensionfraktaalitmittateoriafinite fieldsharmoninen analyysiFourier transforms of measuresminimeasuresInternational Mathematics Research Notices
researchProduct

Uz pierādījumiem balstīts opioīdu pielietojums paliatīvajā aprūpē

2018

Paliatīvā aprūpe ir pacientu aprūpe, kuru radikāla izārstēšana nav iespējama. Latvijā paliatīvās aprūpes pakalpojumus stacionārā 2016. gadā izmantoja 3554 pacienti. Latvijas Onkoloģijas centra Paliatīvās aprūpes nodāļā 99% pacienti ir ar onkoloģisku saslimšanu. Biežākais simptoms šiem pacientiem ir sāpes. Pētījuma mērķis ir noskaidrot pacientu zināšanas par opioīdu pielietojumu paliatīvā aprūpē, kā arī par paliatīvo aprūpi. Pētījums balstīts uz Latvijas Onkoloģijas centra Paliatīvās aprūpes nodaļas pacientu anketēšanu un iegūto rezultātu analīzi. Respondentu anketēšanu veica šī darba autors. Pētījumā piedalījās 50 respondenti: 31 sieviete; 19 vīrieši, kuru vidējais vecums ir 68 gadi. Respon…

SāpesMorfīnsOpioīdiPaliatīvā aprūpeMedicīna
researchProduct

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

2019

This paper presents a fast approach to simulating muons produced in interactions of the SPS proton beams with the target of the SHiP experiment. The SHiP experiment will be able to search for new long-lived particles produced in a 400~GeV$/c$ SPS proton beam dump and which travel distances between fifty metres and tens of kilometers. The SHiP detector needs to operate under ultra-low background conditions and requires large simulated samples of muon induced background processes. Through the use of Generative Adversarial Networks it is possible to emulate the simulation of the interaction of 400~GeV$/c$ proton beams with the SHiP target, an otherwise computationally intensive process. For th…

TechnologyPhysics - Instrumentation and DetectorsProtonPhysics::Instrumentation and DetectorsComputer sciencebackground: inducedNuclear TheoryDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc); Simulation methods and programs01 natural sciences09 EngineeringHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]muon: momentumDetectors and Experimental TechniquesNuclear Experimentphysics.ins-detGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)InstrumentationInstruments & InstrumentationMathematical PhysicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)02 Physical Sciencesinteraction of photons with matterInstrumentation and Detectors (physics.ins-det)p: beammuon: productionDetector modelling and simulations INuclear & Particles Physicsinteraction of hadrons with matterParticle Physics - Experimentperformancedata analysis methodDetector modelling and simulations I (interaction of radiation with matterFOS: Physical sciencesAccelerator Physics and Instrumentation0103 physical sciencesnumerical methodsddc:610[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Aerospace engineering010306 general physicsnumerical calculationsetc)MuonScience & Technologyhep-ex010308 nuclear & particles physicsbusiness.industryNumerical analysisAcceleratorfysik och instrumenteringCERN SPSPhysics::Accelerator PhysicsHigh Energy Physics::ExperimentSimulation methods and programsbusinessGenerative grammar
researchProduct

The experimental facility for the Search for Hidden Particles at the CERN SPS

2019

The Search for Hidden Particles (SHiP) Collaboration has shown that the CERN SPS accelerator with its 400 $\mathrm{\small GeV/c}$ proton beam offers a unique opportunity to explore the Hidden Sector. The proposed experiment is an intensity frontier experiment which is capable of searching for hidden particles through both visible decays and through scattering signatures from recoil of electrons or nuclei. The high-intensity experimental facility developed by the SHiP collaboration is based on a number of key features and developments which provide the possibility of probing a large part of the parameter space for a wide range of models with light long-lived superweakly interacting particles…

TechnologyPhysics - Instrumentation and Detectorsbackground: inducedlarge detector systems for particle and astroparticle physicsSPSbeam transportElectron7. Clean energy01 natural sciences09 Engineeringdark matter detectors (wimps axions etc.)High Energy Physics - Experiment030218 nuclear medicine & medical imaginglaw.inventionNeutrino detectorHigh Energy Physics - Experiment (hep-ex)0302 clinical medicineRecoillawetc.)[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Neutrino detectorsDetectors and Experimental TechniquesNuclear Experimentphysics.ins-detInstruments & InstrumentationInstrumentationbackground: suppressionMathematical Physicsnucleus: recoilPhysicsRange (particle radiation)tau neutrino02 Physical SciencesLarge Hadron Colliderbeam lossInstrumentation and Detectors (physics.ins-det)p: beamNuclear & Particles Physicsvacuum systemparticle: interactionDark Matter detectors (WIMPbeam opticsNeutrino detectorp: beam dumpPhysics - Instrumentation and Detectorproposed experimentParticle Physics - Experimentzirconium: admixtureFOS: Physical sciencesAccelerator Physics and Instrumentationbeam: ejectionp: targetHidden SectorNuclear physicsKKKK: SHiP03 medical and health sciences0103 physical sciences[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Beam dumpnumerical calculationsmuon: shieldingdetector: designactivity reportDark Matter detectors (WIMPsScience & Technologyhep-ex010308 nuclear & particles physicsLarge detector systems for particle and astroparticle physicsbeam-dump facilityAcceleratorfysik och instrumenteringCERN SPSHidden sectoraxionaxions etc.)Large detector systems for particle and astroparticle physicmolybdenum: alloyPhysics::Accelerator Physicstarget: designtitanium: admixtureBeam (structure)neutrino detectors
researchProduct

The magnet of the scattering and neutrino detector for the SHiP experiment at CERN

2019

The Search for Hidden Particles (SHiP) experiment proposal at CERN demands a dedicated dipole magnet for its scattering and neutrino detector. This requires a very large volume to be uniformly magnetized at B > 1.2 T, with constraints regarding the inner instrumented volume as well as the external region, where no massive structures are allowed and only an extremely low stray field is admitted. In this paper we report the main technical challenges and the relevant design options providing a comprehensive design for the magnet of the SHiP Scattering and Neutrino Detector.

TechnologyPhysics - Instrumentation and Detectorswigglers and undulators)magnet: designPermanent magnet devicesPhysics::Instrumentation and Detectorsengineering01 natural sciences7. Clean energy09 Engineering030218 nuclear medicine & medical imagingradiation hardened magnetsSubatomär fysik0302 clinical medicineDipole magnetSubatomic PhysicsNeutrino detectorsDetectors and Experimental TechniquesInstruments & InstrumentationInstrumentationphysics.ins-detAcceleration cavities and magnets superconducting (high-temperature superconductor; radiation hardened magnets; normal-conducting; permanent magnet devices; wigglers and undulators)Mathematical PhysicsPhysics02 Physical SciencesLarge Hadron ColliderInstrumentation and Detectors (physics.ins-det)magnet: technologyNuclear & Particles Physicsbending magnetneutrino: detectorNeutrino detectornormal-conductingAcceleration cavities and magnets superconducting (high-temperature superconductorproposed experimentCERN LabRadiation hardened magnetsFOS: Physical sciencesNormal-conductingAccelerator Physics and InstrumentationNuclear physics03 medical and health sciences0103 physical sciencespermanent magnet devices[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Wigglers and undulators)normal-conducting magnetsScience & Technology010308 nuclear & particles physicsScatteringLarge detector systems for particle and astroparticle physicsAcceleratorfysik och instrumenteringLarge detector systems for particle physicsHigh temperature superconductors Neutrons Permanent magnets Ships Superconducting magnets Wigglers Astroparticle physics Comprehensive designs Massive structures Neutrino detectors Normal-conducting Radiation-hardened Ship experiments Technical challenges Particle detectorsVolume (thermodynamics)MagnetAcceleration cavities and magnets superconducting (high-temperature superconductor; Large detector systems for particle and astroparticle physics; Neutrino detectors; Normal-conducting; Permanent magnet devices; Radiation hardened magnets; Wigglers and undulators)High Energy Physics::Experimentneutrino detectors
researchProduct

Analisi morfometrica su un cranio neolitico rinvenuto nella grotta Abisso del Vento (Isnello, Palermo).

2009

Tecniche multivariateAbisso del VentomorfometriaSettore BIO/08 - Antropologia
researchProduct

The Complex of tectonic caves of the Vallone di Margi Paolino (Valle Grovello) area - Sant'Angelo Muxaro (AG).

2010

Tectonic caveSettore GEO/04 - Geografia Fisica E GeomorfologiaNatural ReserveTectonic caves gypsum Natural Reservegypsum
researchProduct

Rekurento neironu tīklu novērtēšanas sistēma

2021

Darba “Rekurento neironu tīklu novērtēšanas sistēma” ietvaros tika izstrādāta sistēma, kurā var uztrenēt rekurento neironu tīklu arhitektūras uz dažādiem uzdevumiem, tām automātiski piemeklējot optimālos tīkla parametrus, un pārbaudīt uz tiem sasniegtos rezultātus, ar mērķi objektīvi novērtēt konkrēta rekurentā neironu tīkla efektivitāti. Sistēmu ir paredzēts lietot dziļās mašīnmācīšanās pētniecībā, jaunu rekurento neironu tīklu izstrādē un testēšanā, lai noteiktu vai jaunizveidotie neironu tīkli ir labāki par jau eksistējošajiem uz konkrētiem uzdevumiem.

TensorFlowDatorzinātnerekurentais neironu tīklsdziļā mašīnmācīšanāsPython
researchProduct