Search results for "Identification methods"

showing 9 items of 9 documents

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
researchProduct

Structurally Uniform Oligomers

1985

Model compounds as well as prototype reactions are frequently used to understand more complex chemical systems. In the case of phenolic resins a large number of model compounds have been synthesized. They are regarded as either components of a complex mixture of novolaks or resoles or as representative segments of the phenolic crosslinked network. These model compounds were formerly the basis for the correlation of physical properties to molecular structure. Presently the progress of analytical separations and identification methods is formidable; highly sophisticated chemical instrumentation allows the analysis of highly complex mixtures. Nevertheless, well defined compounds with definite …

Identification methodsChemistryMoleculeNanotechnologyInstrumentation (computer programming)Well-definedBiological system
researchProduct

Optical contrast of 2D InSe on SiO2/Si and transparent substrates using bandpass filters

2017

The particular optical and electronic properties recently reported for 2D InSe depict this 2D material as being very versatile for future electronic and optoelectronic devices with tunable and optimized functionalities. For its fundamental study and the development of practical applications, rapid and accurate identification methods of atomically thin InSe are essential. Here, we demonstrate an enhancement of the optical contrast between InSe nanosheets and the underlying SiO2/Si substrate by illuminating with a 40 nm wide bandpass filter centered at 500 nm. Moreover, we study the optical contrast of 2D InSe on transparent substrates. Our results suggest that a good optical contrast is achi…

Identification methodsMaterials scienceOptical contrastBioengineering02 engineering and technology010402 general chemistry01 natural scienceschemistry.chemical_compoundOpticsBand-pass filterSi substrateGeneral Materials ScienceElectrical and Electronic EngineeringElectronic propertiesFundamental studyPolydimethylsiloxanebusiness.industryMechanical EngineeringGeneral Chemistry021001 nanoscience & nanotechnology0104 chemical scienceschemistryMechanics of MaterialsOptoelectronics0210 nano-technologybusinessRefractive indexNanotechnology
researchProduct

Electron and photon performance measurements with the ATLAS detector using the 2015-2017 LHC proton-proton collision data

2019

This paper describes the reconstruction of electrons and photons with the ATLAS detector, employed for measurements and searches exploiting the complete LHC Run 2 dataset. An improved energy clustering algorithm is introduced, and its implications for the measurement and identification of prompt electrons and photons are discussed in detail. Corrections and calibrations that affect performance, including energy calibration, identification and isolation efficiencies, and the measurement of the charge of reconstructed electron candidates are determined using up to 81 fb−1 of proton-proton collision data collected at √s=13 TeV between 2015 and 2017.

electronPhoton:Kjerne- og elementærpartikkelfysikk: 431 [VDP]Protonparticle identification: efficiency13000 GeV-cmsElectron01 natural sciences7. Clean energyParticle identificationphoton: particle identification030218 nuclear medicine & medical imagingParticle identification methods; Performance of high energy physics detectorsHigh Energy Physics - ExperimentSubatomär fysikHigh Energy Physics - Experiment (hep-ex)Particle identification methods0302 clinical medicineSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [p p]InstrumentationMathematical PhysicsPhysicsSettore FIS/01Performance of high energy physics detectorsLarge Hadron ColliderDetectorphotonATLAScalibration [energy]medicine.anatomical_structure:Nuclear and elementary particle physics: 431 [VDP]CERN LHC CollLHCParticle Physics - Experimentperformancep p: scatteringCiências Naturais::Ciências Físicas530 Physics:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesNuclear physicsParticle identification method03 medical and health sciencesparticle identification: performanceAtlas (anatomy)0103 physical sciencesmedicineCalibrationddc:610High Energy PhysicsScience & Technologyelectron: particle identification010308 nuclear & particles physicshep-exenergy: calibrationefficiencyExperimental High Energy PhysicsPerformance of High Energy Physics Detectorsp p: colliding beamsexperimental results
researchProduct

The Time Response of Glass Resistive Plate Chambers to Heavily Ionizing Particles

2007

The HARP system of resistive plate chambers (RPCs) was designed to perform particle identification by the measurement of the difference in the time-of-flight of different particles. In previous papers an apparent discrepancy was shown between the response of the RPCs to minimum ionizing pions and heavily ionizing protons. Using the kinematics of elastic scattering off a hydrogen target a controlled beam of low momentum recoil protons was directed onto the chambers. With this method the trajectory and momentum, and hence the time-of-flight of the protons can be precisely predicted without need for a measurement of momentum of the protons. It is demonstrated that the measurement of the time-o…

Elastic scatteringResistive touchscreenPhysics - Instrumentation and DetectorsMaterials scienceParticle identification methods.Physics::Instrumentation and DetectorsFOS: Physical sciencesFísicaddc:500.2Instrumentation and Detectors (physics.ins-det)Timing detectorsParticle identificationMomentumGaseous detectorsRecoilIonizationParticleDE/dx detectorsAtomic physicsDetectors and Experimental TechniquesInstrumentationMathematical PhysicsBeam (structure)
researchProduct

The ALICE experiment at the CERN LHC

2008

Journal of Instrumentation 3(08), S08002 (2008). doi:10.1088/1748-0221/3/08/S08002

visible and IR photonsLiquid detectorshigh energyPhotonPhysics::Instrumentation and DetectorsTransition radiation detectorsTiming detectors01 natural sciencesOverall mechanics designParticle identificationSoftware architecturesParticle identification methodsGaseous detectorscluster findingDetector cooling and thermo-stabilizationDetector groundingParticle tracking detectors[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Special cablesDetector alignment and calibration methodsDetectors and Experimental TechniquesNuclear ExperimentVoltage distributions.Photon detectors for UVInstrumentationMathematical PhysicsQuantum chromodynamicsPhysicsLarge Hadron ColliderSpectrometersPhysicsDetectorcalibration and fitting methodsTransition radiation detectorScintillatorsData processing methodsAnalysis and statistical methodsData reduction methodsParticle physicsCherenkov and transition radiationTime projection chambers610dE/dx detectorsNuclear physicsCalorimetersPattern recognitionGamma detectors0103 physical sciencesddc:610Solid state detectors010306 general physicsMuonInstrumentation for heavy-ion acceleratorsSpectrometerLarge detector systems for particle and astroparticle physics010308 nuclear & particles physicsCERN; LHC; ALICE; heavy ion; QGPCherenkov detectorsComputingVoltage distributionsManufacturingscintillation and light emission processesanalysis and statistical methods; calorimeters; cherenkov and transition radiation; cherenkov detectors; computing; data processing methods; data reduction methods; de/dx detectors; detector alignment and calibration methods; detector cooling and thermo-stabilization; detector design and construction technologies and materials; detector grounding; gamma detectors; gaseous detectors; instrumentation for heavy-ion accelerators; instrumentation for particle accelerators and storage rings - high energy; large detector systems for particle and astroparticle physics; liquid detectors; manufacturing; overall mechanics design; particle identification methods; particle tracking detectors; pattern recognition; cluster finding; calibration and fitting methods; photon detectors for uv; visible and ir photons; scintillators; scintillation and light emission processes; simulation methods and programs; software architectures; solid state detectors; special cables; spectrometers; time projection chambers; timing detectors; transition radiation detectors; voltage distributionsInstrumentation for particle accelerators and storage ringsInstrumentation; Mathematical PhysicsHigh Energy Physics::ExperimentSimulation methods and programsDetector design and construction technologies and materials
researchProduct

Monitoring and data quality assessment of the ATLAS liquid argon calorimeter

2014

The liquid argon calorimeter is a key component of the ATLAS detector installed at the CERN Large Hadron Collider. The primary purpose of this calorimeter is the measurement of electron and photon kinematic properties. It also provides a crucial input for measuring jets and missing transverse momentum. An advanced data monitoring procedure was designed to quickly identify issues that would affect detector performance and ensure that only the best quality data are used for physics analysis. This article presents the validation procedure developed during the 2011 and 2012 LHC data-taking periods, in which more than 98% of the proton-proton luminosity recorded by ATLAS at a centre-of-mass ener…

interaction [p nucleus]data acquisitionPhysics::Instrumentation and DetectorsCiencias FísicasNuclear engineeringinteraction [p p]7. Clean energy01 natural sciencesHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)Particle identification methodsData acquisitionParticle Identification Methodsperformance [monitoring]Naturvetenskap[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]InstrumentationQCMathematical PhysicsPhysicsLarge Hadron ColliderLuminosity (scattering theory)Settore FIS/01 - Fisica SperimentaleDetectorATLASCalorimeterCERN LHC Collmedicine.anatomical_structurePhysical SciencesComputingMethodologies_DOCUMENTANDTEXTPROCESSINGLHCNatural SciencesCIENCIAS NATURALES Y EXACTASParticle Physics - ExperimentnoiseCiências Naturais::Ciências Físicas530 Physics:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesCalorimeters; Large detector systems for particle and astroparticle physics; Particle identification methods; Instrumentation; Mathematical Physics530Nuclear physicsParticle identification methodCalorimetersParticle identification methods; Calorimeters; Large detector systems for particle and astroparticle physicsscattering [heavy ion]Atlas (anatomy)0103 physical sciencesCalibrationmedicineFysikHigh Energy Physicsddc:610010306 general physicsCalorimeters; Large detector systems for particle and astroparticle physics; Particle identification methodsCiencias ExactasCalorimeterleadScience & TechnologyLarge detector systems for particle and astroparticle physics010308 nuclear & particles physicsFísica//purl.org/becyt/ford/1.3 [https]calibrationAstronomíamissing-energy [transverse momentum]Data qualityExperimental High Energy PhysicsLarge detector systems for particle and astroparticle physicPhysics::Accelerator PhysicsHigh Energy Physics::ExperimentLarge Detector Systems for Particle and Astroparticle Physicsliquid argon [calorimeter]
researchProduct

Characterization and source identification of polycyclic aromatic hydrocarbons (PAHs) in river bank soils.

2008

Elevated PAH concentrations were detected in bank soils along the Mosel and Saar Rivers in Germany. Information on the identification of PAH sources in this area however remains unclear. This study was able to characterize the PAH sources by application of several approaches, including consideration of the distribution patterns of 45 PAHs (including 16 EPA PAHs and some alkyl PAHs), specific PAH ratios, distribution patterns of n-alkanes and principal component analysis (PCA). In addition, the efficiency of the tested approaches was assessed. The results from the application of the various source identification methods showed that pyrogenic PAHs dominate soil samples collected upstream of t…

Identification methodsGeologic SedimentsPrincipal Component AnalysisEnvironmental EngineeringSoil testGeographyHealth Toxicology and MutagenesisPublic Health Environmental and Occupational HealthEnvironmental engineeringGeneral MedicineGeneral ChemistryPollutionRiversEnvironmental chemistryGermanySoil waterpolycyclic compoundsEnvironmental ChemistryEnvironmental scienceSoil PollutantsPolycyclic Aromatic HydrocarbonsBankWater Pollutants ChemicalEnvironmental MonitoringChemosphere
researchProduct

Sintētisko kanabinoīdu un katinonu identifikācijas iespējas

2016

Vēl aizvien nelegālajā apritē parādās jaunas psihoaktīvās vielas, kuru identificēšanas iespējas ir apgrūtinātas un maz pētītas. Jaunās psihoaktīvās vielas ir potenciāls sabiedrības veselības drauds. Populārākās ir sintētiskie kanabinoīdi un sintētiskie katinoni. To iedarbība uz cilvēka organismu ir maz pētīta un neparedzama. Lai pētītu to iedarbību uz cilvēka organismu, ir nepieciešamas efektīvas un visaptverošas pētniecības metodes. Darba ir apkopoti dati par Latvijā biežāk sastopamajām jaunajām psihoaktīvajām vielām, kā arī apkopoti un analizēti dati par šo vielu noteikšanas metodēm, kā pielietojamāko metodi nosakot jauno psihoaktīvo vielu noteikšanu, var uzskatīt GH-MS/MS metodi. Atslēgv…

SYNTHETIC CANNABINOIDSIDENTIFICATION METHODSMS/MSFarmācijaCATHINONE
researchProduct