Search results for "libration"

showing 10 items of 901 documents

Collisional Evolution of Trojan Asteroids☆

1997

Abstract We model the collisional evolution of Trojan asteroids using a numerical code which combines recent calculations of the intrinsic collision probabilities and impact speeds in the Trojan swarms (Marzariet al.1996) with our current understanding of the outcomes of high-velocity collisions between asteroid-sized bodies. Using plausible collision parameters and energy scaling of impact strength with size, we obtain a good match to the present Trojan population, as inferred by Shoemakeret al.(1989). The steep slope of the current Trojan size distribution at diameters larger than about 50–100 km is essentially unaltered by the collisional process and must reflect the formative processes …

Physicseducation.field_of_studyPopulationAstronomy and AstrophysicsCentaurAstrophysicsCollisionPower lawSpace and Planetary ScienceTrojanAsteroidPhysics::Space PhysicsLibrationAstrophysics::Earth and Planetary AstrophysicseducationScalingIcarus
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Reply to “Comment to ‘Dynamics of supercooled confined water measured by deep inelastic neutron scattering’ by Y. Finkelstein and R. Moreh”

2019

We reply to the comment [Front. Phys. 14(5), 53605 (2019)] by Y. Finkelstein and R. Moreh on our article Front. Phys. 13(1), 138205 (2018). We agree with some of their criticisms about our calculation of the temperature effect on the kinetic energy of hydrogen atoms of supercooled confined water; we also agree with their statement that, in view of the current sensitivity of the technique, possible effects of the liquid-liquid water transition are hardly detected with deep inelastic neutron scattering (DINS). However, we disagree with their use of the translational mass ratio of a single water molecule and, in general, with their underestimation of collective effects.

Physicsliquid-liquid transitionPhysics and Astronomy (miscellaneous)HydrogenSettore FIS/07Front (oceanography)chemistry.chemical_elementvibrational density of statesMass ratioproton kinetic energyKinetic energy01 natural sciencesInelastic neutron scatteringSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)chemistry0103 physical sciencesLibrationlibrationAtomic physics010306 general physicsSupercoolingConfined waterdeep inelastic neutron scatteringsupercooled water
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The on-board calibration system of the X-ray Imaging Polarimetry Explorer (XIPE)

2016

The calibration system for XIPE is aimed at providing a way to check and correct possible variations of performance of the Gas Pixel Detector during the three years of operation in orbit (plus two years of possible extended operation), while facilitating the observation of the celestial sources. This will be performed by using a filter wheel with a large heritage having a set of positions for the calibration and the observation systems. In particular, it will allow for correcting possible gain variation, for measuring the modulation factor using a polarized source, for removing non interesting bright sources in the field of view and for observing very bright celestial sources. The on-board …

Physicsta115business.industryCalibration (statistics)DetectorPolarimetryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONAstrophysics::Instrumentation and Methods for AstrophysicsField of view02 engineering and technologyOrbital mechanics021001 nanoscience & nanotechnology01 natural sciences010309 opticsOpticsFilter (video)0103 physical sciencesModulation (music)Orbit (dynamics)0210 nano-technologybusinessRemote sensing
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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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A Study on the Measurement Instrumentation for a Custom-Made Bipendulum Impact Testing Machine

2008

Experimental investigations of structures under impact loads are normally carried out by means of drop-weight testing rigs, which are often tailor made, and require sensors for fast transient measurement of mechanical quantities (namely, force, displacement, velocity, and absorbed energy). Since these tests are quite expensive, time consuming, and, often, not repeatable, the sensors must provide reliable and interpretable results in the first trial. In this paper, a thorough study on the measurement instrumentation suitable to carry out reliable low-velocity impact tests by means of a custom-made bipendulum impact testing machine is presented. Attention has been focused on the choice of the…

Piezoelectric transducersComputer scienceImpact measurements; Instrumented impact testing; Optical velocity sensors; PVDF force sensors; Piezoelectric transducers; Transient measurementsImpact measurementsMechanical engineeringAccelerometerLoad cellFriction lossDynamic load testingTransducerOptical velocity sensorsElectronic engineeringCalibrationPVDF force sensorsTransient measurementsInstrumentation (computer programming)Electrical and Electronic EngineeringImpactInstrumentationInstrumented impact testing
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Leveraging Uncertainty Estimates to Improve Segmentation Performance in Cardiac MR

2021

In medical image segmentation, several studies have used Bayesian neural networks to segment and quantify the uncertainty of the images. These studies show that there might be an increased epistemic uncertainty in areas where there are semantically and visually challenging pixels. The uncertain areas of the image can be of a great interest as they can possibly indicate the regions of incorrect segmentation. To leverage the uncertainty information, we propose a segmentation model that incorporates the uncertainty into its learning process. Firstly, we generate the uncertainty estimate (sample variance) using Monte-Carlo dropout during training. Then we incorporate it into the loss function t…

PixelCalibration (statistics)business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionImage segmentationLeverage (statistics)SegmentationSample varianceArtificial intelligenceUncertainty quantificationbusinessDropout (neural networks)
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Spatial analysis of the homogeneity of the land surface temperature in three Spanish test sites

2015

Calibration and validation cal/val are key activities to test the data quality acquired from satellite-based instruments, as well as to report the accuracy of derived products such as the land surface temperature LST. Calibration of thermal infrared TIR data and validation of LST products at low spatial resolution requires the identification of large and homogeneous areas, which is a difficult task. In this work, spatial and temporal homogeneity of LST was analysed over three Spanish regions: the agricultural area of Barrax, Donana National Park, and Cabo de Gata Natural Park. For this purpose, very high spatial resolution approximately 3 m imagery acquired with the Airborne Hyperspectral S…

PixelMean squared errorHomogeneity (statistics)CalibrationGeneral Earth and Planetary SciencesEnvironmental scienceHyperspectral imagingSatelliteImage resolutionField (geography)Remote sensingInternational Journal of Remote Sensing
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Smartphone determination of fat in cured meat products

2017

Abstract A method has been developed to determine the fat content in different cold meat products by image processing using the camera of a mobile phone. Salchichon , chorizo , salami and cured ham pictures were taken with a Meizu M2 Mini mobile phone camera under fixed lighting conditions of the light emitting diode flash of the mobile phone. Images were treated with Matlab to obtain the mean pixels of average red, green and blue camera values colours (RGB) of the pixels and different data pretreatments were taken into account to correlate colour parameters with fat content values determined in a series of commercially available samples by the Soxhlet method. RGB values were used as input …

Pixelbusiness.industryFat content010401 analytical chemistryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONAnalytical chemistryImage processingPattern recognition04 agricultural and veterinary sciences040401 food science01 natural sciences0104 chemical sciencesAnalytical ChemistrySupport vector machine0404 agricultural biotechnologyPartial least squares regressionCalibrationRGB color modelArtificial intelligenceMobile phone camerabusinessSpectroscopyMathematicsMicrochemical Journal
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Exploring Training Options for RF Sensing Using CSI

2018

This work analyzes human behavior recognition approaches using WiFi channel state information from the perhaps less usual point of view of training and calibration needs. With the help of selected literature examples, as well as with more detailed experimental insights on our own Doppler spectrum-based approach for physical motion/presence/cardinality detection, we first classify the diverse forms of training so far employed into three main categories (trained, trained-once, and training-free). We further discuss under which conditions it is possible to move toward lighter forms of calibration or even succeed in devising fully untrained model-based solutions. Our take home messages are main…

Point (typography)Settore ING-INF/03 - TelecomunicazioniComputer Networks and CommunicationsCalibration (statistics)Computer sciencebusiness.industry010401 analytical chemistryBehavioural sciences020206 networking & telecommunications02 engineering and technologyMachine learningcomputer.software_genreTraining Wireless fidelity Calibration Doppler effect Behavioral sciences Radio frequency Sensors Channel state estimation01 natural sciencesTraining (civil)Motion (physics)0104 chemical sciencesComputer Science ApplicationsPersonalization0202 electrical engineering electronic engineering information engineeringArtificial intelligenceElectrical and Electronic EngineeringbusinesscomputerIEEE Communications Magazine
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Replication Data for: Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers.

2019

Replication Data in the form of a Robot Operating System (ROS) recording (ROS-bag) to replicate the results of the paper "Automatic Calibration of an Industrial RGB-D Camera Network using Retroreflective Fiducial Markers." The contents of the dataset are timestamped images and point clouds recorded from six different sensor nodes.

Point cloudComputingMethodologies_PATTERNRECOGNITIONEngineeringRegistrationComputer and Information ScienceVisionCalibrationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRGB-D
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