Search results for "Fitting method"

showing 10 items of 21 documents

Nanosecond-level time synchronization of autonomous radio detector stations for extensive air showers

2016

To exploit the full potential of radio measurements of cosmic-ray air showers at MHz frequencies, a detector timing synchronization within 1 ns is needed. Large distributed radio detector arrays such as the Auger Engineering Radio Array (AERA) rely on timing via the Global Positioning System (GPS) for the synchronization of individual detector station clocks. Unfortunately, GPS timing is expected to have an accuracy no better than about 5 ns. In practice, in particular in AERA, the GPS clocks exhibit drifts on the order of tens of ns. We developed a technique to correct for the GPS drifts, and an independent method is used to cross-check that indeed we reach a nanosecond-scale timing accura…

Physics - Instrumentation and DetectorsAutomatic dependent surveillance-broadcastComputer scienceCiencias FísicasAstronomyDetector alignment and calibration methods (lasers sources particle-beams)Calibration and fitting methods; Cluster finding; Detector alignment and calibration methods (lasers sources particle-beams); Pattern recognition; Timing detectors01 natural sciencesTiming detectorsSynchronizationHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)Sine wave[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]InstrumentationMathematical PhysicsTransmitterDetectorSettore FIS/01 - Fisica Sperimentaleparticle-beams)Instrumentation and Detectors (physics.ins-det)Pattern recognition cluster finding calibration and fitting methodGlobal Positioning SystemComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearCIENCIAS NATURALES Y EXACTASsourcesReal-time computingFOS: Physical sciencesCalibration and fitting methodClustersPattern recognition0103 physical sciencesCalibrationHigh Energy Physics010306 general physicsCiencias ExactasCalibration and fitting methods010308 nuclear & particles physicsbusiness.industryCluster findingFísicaAstroparticles//purl.org/becyt/ford/1.3 [https]PhaserAstronomíaDetector alignment and calibration methods (lasersTiming detectorPierre AugerExperimental High Energy PhysicsRECONHECIMENTO DE PADRÕESCalibration and fitting methods; Cluster finding; Detector alignment and calibration methods (lasers sources particle-beams); Pattern recognition; Timing detectors; Instrumentation; Mathematical PhysicsbusinessJournal of Instrumentation
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A layer correlation technique for pion energy calibration at the 2004 ATLAS Combined Beam Test

2010

A new method for calibrating the hadron response of a segmented calorimeter is developed and successfully applied to beam test data. It is based on a principal component analysis of energy deposits in the calorimeter layers, exploiting longitudinal shower development information to improve the measured energy resolution. Corrections for invisible hadronic energy and energy lost in dead material in front of and between the calorimeters of the ATLAS experiment were calculated with simulated Geant4 Monte Carlo events and used to reconstruct the energy of pions impinging on the calorimeters during the 2004 Barrel Combined Beam Test at the CERN H8 area. For pion beams with energies between 20GeV…

Physics - Instrumentation and DetectorsCiências Naturais::Ciências FísicasPhysics::Instrumentation and Detectors:Ciências Físicas [Ciências Naturais]Monte Carlo methodFOS: Physical sciencesddc:500.201 natural sciences7. Clean energyPartícules (Física nuclear)Settore FIS/04 - Fisica Nucleare e SubnucleareHigh Energy Physics - ExperimentNuclear physicsCalorimetersHigh Energy Physics - Experiment (hep-ex)PionAtlas (anatomy)calorimeter methods ; pattern recognition ; cluster finding ; calibration and fitting methods ; calorimeters ; detector modelling and simulations0103 physical sciencesCalibrationmedicine[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex][PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Calorimeter methods010306 general physicsNuclear ExperimentInstrumentationMathematical PhysicsPhysicsDetector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc)Science & TechnologyLarge Hadron Collider010308 nuclear & particles physicsPattern recognition cluster finding calibration and fitting methodsSettore FIS/01 - Fisica SperimentaleATLAS experimentInstrumentation and Detectors (physics.ins-det)Calorimetermedicine.anatomical_structureExperimental High Energy PhysicsComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearHigh Energy Physics::ExperimentBeam (structure)Journal of Instrumentation
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Design, upgrade and characterization of the silicon photomultiplier front-end for the AMIGA detector at the Pierre Auger Observatory

2021

The successful installation, commissioning, and operation of the Pierre Auger Observatory would not have been possible without the strong commitment and effort from the technical and administrative staff in Malargue. We are very grateful to the following agencies and organizations for financial support: Argentina -Comision Nacional de Energia Atomica; Agencia Nacional de Promocion Cientifica y Tecnologica (ANPCyT); Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET); Gobierno de la Provincia de Mendoza; Municipalidad de Malargue; NDM Holdings and Valle Las Lenas; in gratitude for their continuing cooperation over land access; Australia -the Australian Research Council; Braz…

Physics - Instrumentation and DetectorsPhysics::Instrumentation and DetectorsAstronomyPerformance of High Energy Physics Detector01 natural sciences7. Clean energyEtc)030218 nuclear medicine & medical imaging0302 clinical medicineFront-end electronics for detector readoutAPDsInstrumentationphysics.ins-detPhoton detectors for UVMathematical PhysicsInstrumentation et méthodes en physiqueEBCCDsVisible and IR photons (solid-state) (PIN diodes APDs Si-PMTs G-APDs CCDs EBCCDs EMCCDs CMOS imagers etc)electronicsSettore FIS/01 - Fisica SperimentaleCalibration and fitting methods; Performance of High Energy Physics Detectors; Photon detectors for UVPhoton detectors for UV visible and IR photons (solid-state) (PIN diodes APDs Si-PMTs G-APDs CCDs EBCCDs EMCCDs CMOS imagers etc)Astrophysics::Instrumentation and Methods for AstrophysicsSi-PMTsInstrumentation and Detectors (physics.ins-det)charged particleAPDs; Calibration and fitting methods; Performance of High Energy Physics Detectors; Photon detectors for UV; CCDs; Cluster finding; CMOS imagers; EBCCDs; EMCCDs; Etc); Front-end electronics for detector readout; Pattern recognition; G-APDs; Si-PMTs; Visible and IR photons (solid-state) (PIN diodesAugerobservatorydensity [muon]Pattern recognition cluster finding calibration and fitting methodG-APDsChristian ministryupgradeddc:620Astrophysics - Instrumentation and Methods for Astrophysicsperformanceatmosphere [showers]Land accessCherenkov counter: waterairAstrophysics::High Energy Astrophysical PhenomenaUHE [cosmic radiation]FOS: Physical sciencesVisible and IR photons (solid-state) (PIN diodes03 medical and health sciencesPolitical sciencePattern recognition0103 physical sciencesmuon: densityFront-end electronics for detector readout; Pattern recognitionphotomultiplier: siliconHigh Energy Physicscosmic radiation: UHE[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]ddc:610CMOS imagersInstrumentation and Methods for Astrophysics (astro-ph.IM)Engineering & allied operationsscintillation counterCalibration and fitting methodsshowers: atmosphere010308 nuclear & particles physicswater [Cherenkov counter]Cluster findingAutres mathématiquesCCDsEMCCDsResearch councilefficiencyExperimental High Energy Physicssilicon [photomultiplier]Performance of High Energy Physics DetectorsHigh Energy Physics::ExperimentHumanitiesRAIOS CÓSMICOSastro-ph.IM
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Retrieval of sun-induced fluorescence using advanced spectral fitting methods

2015

Abstract The FLuorescence EXplorer (FLEX) satellite mission, candidate of ESA's 8th Earth Explorer program, is explicitly optimized for detecting the sun-induced fluorescence emitted by plants. It will allow consistent measurements around the O2-B (687 nm) and O2-A (760 nm) bands, related to the red and far-red fluorescence emission peaks respectively, the photochemical reflectance index, and the structural-chemical state variables of the canopy. The sun-induced fluorescence signal, overlapped to the surface reflected radiance, can be accurately retrieved by employing the powerful spectral fitting technique. In this framework, a set of fluorescence retrieval algorithms optimized for FLEX ar…

PhysicsMETIS-314125Spectrometerbusiness.industryRetrieval algorithmSpectral fitting methodSoil ScienceGeologyFull fluorescence spectrumPhotochemical Reflectance IndexFluorescenceSpectral linen/a OA procedureFLEX missionOpticsSun-induced fluorescenceRadianceRadiative transferSatelliteComputers in Earth SciencesbusinessAbsorption (electromagnetic radiation)Remote sensing
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“RecPack” a reconstruction toolkit

2004

We present a C++ toolkit to do tracking and vertex reconstruction. The toolkit incorporates common fitting methods, as the Kalman Filter, a framework to define a detector setup, a general navigation and a simple simulation. Furthermore, the toolkit provides a collection of interfaces which facilitates the addition of new fitting methods, trajectory models, geometrical objects, pattern recognition logic, etc. Although the toolkit was originally developed to be used in High Energy Physics, it could be applied to other fields.

PhysicsNuclear and High Energy PhysicsVertex (computer graphics)Fitting methodsSimple (abstract algebra)DetectorPattern recognition (psychology)TrajectoryKalman filterTracking (particle physics)InstrumentationComputational scienceNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
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Characterisation and mitigation of beam-induced backgrounds observed in the ATLAS detector during the 2011 proton-proton run

2013

This paper presents a summary of beam-induced backgrounds observed in the ATLAS detector and discusses methods to tag and remove background contaminated events in data. Triggerrate based monitoring of beam-related backgrounds is presented. The correlations of backgrounds with machine conditions, such as residual pressure in the beam-pipe, are discussed. Results from dedicated beam-background simulations are shown, and their qualitative agreement with data is evaluated. Data taken during the passage of unpaired, i.e. non-colliding, proton bunches is used to obtain background-enriched data samples. These are used to identify characteristic features of beam-induced backgrounds, which then are …

Physics::Instrumentation and DetectorsAccelerator modelling and simulations; multi-particle dynamics; Analysis and statistical methods; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; single-particle dynamicsPROTON BEAMSMonte Carlo methodsingle-particle dynamics01 natural sciencesaccelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)High Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)MUON DETECTORcluster findingPIXEL DETECTORSNaturvetenskap[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)InstrumentationQCMathematical PhysicsPhysicsLarge Hadron ColliderPattern recognition cluster finding calibration and fitting methodsAccelerator modelling and simulations (multi-particle dynamics; single-particle dynamics)Settore FIS/01 - Fisica SperimentaleObservableATLAScalibration and fitting methodsAccelerator modelling and simulationsCalorimetermedicine.anatomical_structureBunchesAccelerator Modelling and Simulations (Multi-Particle Dynamics Single-Particle Dynamics)Analysis and statistical methodsLHCmulti-particle dynamicsNatural SciencesParticle Physics - ExperimentParticle physicsCiências Naturais::Ciências Físicas530 PhysicsInstrumentationCALORIMETERS:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Nuclear physicssingle-particle dynamics)Atlas (anatomy)Pattern recognition0103 physical sciencesmedicineAccelerator modelling and simulations (multi-particle dynamics single-particle dynamics)High Energy Physicspattern recognition; cluster finding; calibration and fitting methods; single-particle dynamics); analysis and statistical methods; accelerator modelling and simulations (multi-particle dynamics; performance of high energy physics detectorsddc:610010306 general physicsCalibration and fitting methodsScience & Technology010308 nuclear & particles physicsCluster findingFísicaAccelerator modelling and simulations (multi-particle dynamicsAccelerator modelling and simulations (multi-particle dynamics; Analysis and statistical methods; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; single-particle dynamics); Instrumentation; Mathematical PhysicsExperimental High Energy PhysicsPattern recognition; cluster finding; calibration and fitting methods; Performance of High Energy Physics Detectors; Accelerator modelling and simulations (multi-particle dynamics; single-particle dynamics); Analysis and statistical methodsPhysics::Accelerator PhysicsPerformance of High Energy Physics DetectorsEvent (particle physics)
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Electron and photon energy calibration with the ATLAS detector using 2015-2016 LHC proton-proton collision data

2019

Artículo realizado por muchos autores. Solo se referencian el que aparece en primer lugar, el nombre del grupo de colaboración y los autores que firman como pertenecientes a la UAM

Z0 --> electron positronJ/psi(3100) --> electron positronProton13000 GeV-cmsparticle identification [electron]ElectronZ0 --> electron positronelectron: transverse momentum01 natural sciencesphoton: particle identificationSubatomär fysik0302 clinical medicinescattering [p p]Nuclear Experiment proton–proton collisionsLarge Hadron ColliderCalibration and fittingphoton: transverse momentumand fitting methodsphoton: energy:Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP]calibration [energy]CERN LHC Collcalibration and fitting methodcolliding beams [p p]transverse momentum [electron]p p: scatteringCiências Naturais::Ciências Físicas610LHC ATLAS High Energy PhysicsPhoton energyFitting methodsJ/psi(3100) --> electron positronradiative decay [J/psi(3100)]Nuclear physicsMomentum03 medical and health sciencesAtlas (anatomy)High Energy Physicspair production [electron]CALORIMETERScience & Technologyradiative decay [Z0]electron: particle identification010308 nuclear & particles physicsenergy [photon]Acceleratorfysik och instrumentering jets energy: calibrationCalorimeter methodExperimental High Energy PhysicsPerformance of High Energy Physics Detectorsp p: colliding beamsacceptancetransverse momentum [photon]PhotonJ/psi(3100): radiative decayCalorimeter methods; Pattern recognition cluster finding calibration; and fitting methods; Performance of High Energy Physics Detectors; PARTON DISTRIBUTIONS; LIQUID AR; CALORIMETER; KR030218 nuclear medicine & medical imagingHigh Energy Physics - Experimentelectron: pair productionHigh Energy Physics - Experiment (hep-ex)Subatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Collisions Calorimeter methodsInstrumentationMathematical PhysicsBosonPhysicsPattern recognition cluster finding calibration and fitting methodsSettore FIS/01 - Fisica Sperimentalecalibration and fitting methodsATLASLIQUID ARmedicine.anatomical_structureKRCalibrationcalibration and fitting methods; Calorimeter methods; cluster finding; Pattern recognition; Performance of High Energy Physics Detectors; Instrumentation; Mathematical PhysicsParticle Physics - Experiment530 Physics:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesZ0: radiative decayAccelerator Physics and Instrumentationcalibration and fitting methods; Calorimeter methods; cluster finding; Pattern recognition; Performance of High Energy Physics DetectorsPattern recognition0103 physical sciencesmedicineddc:610hep-exCluster finding:Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP]particle identification [photon]FísicaPARTON DISTRIBUTIONSHigh Energy Physics::Experimentexperimental results
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Performance of $b$-Jet Identification in the ATLAS Experiment

2016

We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF, DNSRC and Lundbeck Foundation, Denmark; IN2P3-CNRS, CEA-DSM/IRFU, France; GNSF, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF, I-CORE and Benoziyo Center, Israel; INFN, Italy; MEXT an…

detector-systems performancePerformance of High Energy Physics Detectorsecondary [vertex]Elementary particle01 natural sciencesPARTONlaw.inventionSubatomär fysikCHANNELcluster findingscattering [p p]impact parameterGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)протон-протонные столкновенияQBLarge detector-systems performanceHigh energy physics detectorLarge Hadron ColliderLarge detector systems for particle and astroparticle physics; Large detector-systems performance; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics Detectors; Instrumentation; Mathematical Physicstrack data analysisQUARK PAIR PRODUCTIONbottom [jet]CERN LHC CollPattern recognition cluster finding calibration and fitting method7000 GeV-cmscolliding beams [p p]performanceHADRONIC COLLISIONSCiências Naturais::Ciências FísicasLarge detectorFitting methodHigh energy physicATLAS LHC High Energy Physics510 MathematicsmuonDISTRIBUTIONSUncertainty analysis Astroparticle physicHigh Energy Physics010306 general physicsSystematic uncertainties AlgorithmsAstroparticle physicsCalibration and fitting methodsScience & Technology010308 nuclear & particles physicsLarge detector systems for particle and astroparticle physicsParticle acceleratorRangingPerformance of High Energy PhysicsCOLLIDERScorrelationExperimental High Energy PhysicsPerformance of High Energy Physics DetectorshadronATLAS детекторБольшой адронный коллайдерcharm [jet]Elementary particleHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)lawSubatomic Physics[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Detectors and Experimental TechniquesInstrumentationUncertainty analysisMathematical PhysicsPhysicsPattern recognition cluster finding calibration and fitting methods4. EducationATLAS experimentSettore FIS/01 - Fisica SperimentaleDetectorsflavor [jet]calibration and fitting methodsATLASLarge Hadron ColliderLarge detector systems for particle and astroparticle physics; Large; detector-systems performance; Pattern recognition cluster finding; calibration and fitting methods; Performance of High Energy Physics; Detectors; PRODUCTION CROSS-SECTION; QUARK PAIR PRODUCTION; ROOT-S=7 TEV; PARTON; DISTRIBUTIONS; HADRONIC COLLISIONS; MATRIX-ELEMENTS; LHC; COLLIDERS; DETECTOR; CHANNEL8. Economic growthCalibrationparticle identification [bottom]LHCImpact parameterParticle Physics - ExperimentParticle physicsdata analysis method530 Physics:Ciências Físicas [Ciências Naturais]FOS: Physical sciences530MATRIX-ELEMENTSparticle identification [charm]on-line [trigger]Pattern recognition0103 physical sciencesComplementary methodddc:610DETECTORROOT-S=7 TEVCluster findingFísicaLarge detector systems for particle and astroparticle physics; Large detector-systems performance; Pattern recognition cluster finding calibration and fitting methods; Performance of High Energy Physics DetectorsPattern recognition systemcalibrationtracksPRODUCTION CROSS-SECTIONefficiencyHadronLarge detector systems for particle and astroparticle physicLargeHigh Energy Physics::ExperimentStatistical correlationstatisticalexperimental results
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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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Emulation of Sun-Induced Fluorescence from Radiance Data Recorded by the HyPlant Airborne Imaging Spectrometer

2021

The retrieval of sun-induced fluorescence (SIF) from hyperspectral radiance data grew to maturity with research activities around the FLuorescence EXplorer satellite mission FLEX, yet full-spectrum estimation methods such as the spectral fitting method (SFM) are computationally expensive. To bypass this computational load, this work aims to approximate the SFM-based SIF retrieval by means of statistical learning, i.e., emulation. While emulators emerged as fast surrogate models of simulators, the accuracy-speedup trade-offs are still to be analyzed when the emulation concept is applied to experimental data. We evaluated the possibility of approximating the SFM-like SIF output directly based…

sif010504 meteorology & atmospheric sciencesprincipal component analysisComputer scienceSciencesun-induced fluorescenceMultispectral image0211 other engineering and technologiesImaging spectrometeremulation02 engineering and technology01 natural sciencesRobustness (computer science)emulation; machine learning; sun-induced fluorescence; sif; spectral fitting method (sfm); principal component analysis021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingEmulationDimensionality reductionQHyperspectral imagingspectral fitting method (sfm)machine learningPrincipal component analysisRadianceGeneral Earth and Planetary Sciencesddc:620Remote Sensing
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