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showing 10 items of 2224 documents

"Table 3" of "The A dependence of the nuclear structure function ratios"

1997

Additional normalisation error of 0.003 in the ratio.

F2InclusiveMU- C --> MU- XMU+ C --> MU+ XStructure FunctionNeutral CurrentDeep Inelastic ScatteringMU+ NUCLEUS --> MU+ XMU- CA --> MU- XMU+ CA --> MU+ XMU- NUCLEUS --> MU- XMuon production
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"Table 6" of "The A dependence of the nuclear structure function ratios"

1997

Additional normalisation error of 0.002 in the ratio.

F2InclusiveMU- C --> MU- XMU- PB --> MU- XMU+ C --> MU+ XStructure FunctionNeutral CurrentDeep Inelastic ScatteringMU+ NUCLEUS --> MU+ XMU+ PB --> MU+ XMU- NUCLEUS --> MU- XMuon production
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"Table 5" of "The A dependence of the nuclear structure function ratios"

1997

Additional normalisation error of 0.002 in the ratio.

F2InclusiveMU- C --> MU- XMU- SN --> MU- XMU+ C --> MU+ XStructure FunctionNeutral CurrentDeep Inelastic ScatteringMU+ NUCLEUS --> MU+ XMU+ SN --> MU+ XMU- NUCLEUS --> MU- XMuon production
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"Table 2" of "Precision measurement of structure function ratios for Li-6, C-12 and Ca-40"

1992

Overall normalization error of 0.8%, due to uncertainties in target thickness, not included in the table.

F2InclusiveStructure FunctionNeutral CurrentDeep Inelastic ScatteringMU+ NUCLEUS --> MU+ XMU+ CA --> MU+ XMU+ LI --> MU+ XMuon production
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"Table 3" of "Precision measurement of the structure function ratios F2 (He) / F2 (D), F2 (C) / F2 (D) and F2 (Ca) / F2 (D)"

1991

No description provided.

F2InclusiveStructure FunctionNeutral CurrentDeep Inelastic ScatteringMU+ NUCLEUS --> MU+ XMU+ CA --> MU+ XMuon productionMU+ DEUT --> MU+ X
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A Deep Network Approach to Multitemporal Cloud Detection

2018

We present a deep learning model with temporal memory to detect clouds in image time series acquired by the Seviri imager mounted on the Meteosat Second Generation (MSG) satellite. The model provides pixel-level cloud maps with related confidence and propagates information in time via a recurrent neural network structure. With a single model, we are able to outline clouds along all year and during day and night with high accuracy.

FOS: Computer and information sciencesComputer Science - Machine Learning010504 meteorology & atmospheric sciencesComputer scienceFeature extraction0211 other engineering and technologiesCloud detectionFOS: Physical sciencesCloud computing02 engineering and technologyCloud detection01 natural sciencesMachine Learning (cs.LG)Laboratory of Geo-information Science and Remote SensingLaboratorium voor Geo-informatiekunde en Remote Sensing021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingbusiness.industrySeviriDeep learningDeep learningPE&RCPhysics - Atmospheric and Oceanic PhysicsRecurrent neural networkRecurrent neural networksAtmospheric and Oceanic Physics (physics.ao-ph)Convolutional neural networksSatelliteArtificial intelligencebusinessNetwork approachIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Fabrication and Photoelectrochemical Behavior of Ordered CIGS Nanowire Arrays for Application in Solar Cells

2010

In this work, we report some preliminary results concerning the fabrication of quaternary copper, indium, gallium, and selenium CIGS nanowires that were grown inside the channels of an anodic alumina membrane by one-step potentiostatic deposition at different applied potentials and room temperature. A tunable nanowire composition was achieved through a manipulation of the applied potential and electrolyte composition. X-ray diffraction analysis showed that nanowires, whose chemical composition was determined by energy-dispersive spectroscopy analysis, were amorphous. A composition of Cu0.203In0.153Ga0.131Se0.513, very close to the stoichiometric value, was obtained. These nanostructures wer…

FabricationMaterials scienceGeneral Chemical EngineeringNanowirechemistry.chemical_elementNanotechnologyCopper Indium Gallium Selenidechemistry.chemical_compoundCopper Indium Gallium Selenide; Solar Cells; Template Synthesis; Electrodeposition; Anodic Alumina MembranesElectrodepositionElectrochemistryGeneral Materials ScienceElectrical and Electronic EngineeringPhysical and Theoretical ChemistryGalliumAnodic Alumina MembranesPhotocurrentbusiness.industryCopper indium gallium selenide solar cellsAmorphous solidSettore ING-IND/23 - Chimica Fisica ApplicatachemistrySolar CellTemplate SynthesiOptoelectronicsbusinessCopper indium gallium selenideIndiumElectrochemical and Solid-State Letters
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Optical Optimization of the TiO2 Mesoporous Layer in Perovskite Solar Cells by the Addition of SiO2 Nanoparticles

2018

In this work, SiO2 nanoparticles (NPs) were integrated into the mesoporous TiO2 layer of a perovskite solar cell to investigate their effect on cell performance. Different concentrations of SiO2/ethanol have been combined in TiO2/ethanol to prepare pastes for the fabrication of the mesoporous layer with which perovskite solar cells have been fabricated. Addition of SiO2 NPs of 50 and 100 nm sizes produces an enhancement of cell performance mainly because of an improvement of the photocurrent. This increment is in good agreement with the theoretical predictions based on light scattering induced by dielectric SiO2 NPs. The samples using modified scaffolds with NPs also present a significant l…

FabricationMaterials scienceGeneral Chemical EngineeringPerovskite solar cellNanoparticle02 engineering and technologyDielectric010402 general chemistry7. Clean energy01 natural sciencesmesoporous layerlcsh:ChemistryperovskitePerovskite (structure)Photocurrenttechnology industry and agricultureGeneral Chemistry021001 nanoscience & nanotechnology0104 chemical sciencesChemical engineeringlcsh:QD1-999solar cellsnanoparticles0210 nano-technologyMesoporous materialLayer (electronics)ACS Omega
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Giant Magnetoresistance (GMR) sensors for 0.35µm CMOS technology sub-mA current sensing

2014

This paper reports on the design and fabrication of microelectronic structures for non-invasive indirect electric current sensing at the IC level. A 0.35 ?m CMOS ASIC has been specifically developed for this purpose. Then, a low temperature post-process, fully compatible with the CMOS technology, has been applied for depositing Giant Magnetoresistive (GMR) sensors. Preliminary experimental results for obtaining the sensitivity of the devices are presented. The detection limit is estimated to be about 5 ?A.

FabricationMaterials scienceMagnetoresistancebusiness.industryElectrical engineeringGiant magnetoresistanceHardware_PERFORMANCEANDRELIABILITYIntegrated circuitlaw.inventionCMOSlawHardware_INTEGRATEDCIRCUITSOptoelectronicsMicroelectronicsElectric currentbusinessSensitivity (electronics)IEEE SENSORS 2014 Proceedings
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Simultaneous measurement of the muon neutrino charged-current cross section on oxygen and carbon without pions in the final state at T2K

2020

Authors: K. Abe,56 N. Akhlaq,45 R. Akutsu,57 A. Ali,32 C. Alt,11 C. Andreopoulos,54,34 L. Anthony,21 M. Antonova,19 S. Aoki,31 A. Ariga,2 T. Arihara,59 Y. Asada,69 Y. Ashida,32 E. T. Atkin,21 Y. Awataguchi,59 S. Ban,32 M. Barbi,46 G. J. Barker,66 G. Barr,42 D. Barrow,42 M. Batkiewicz-Kwasniak,15 A. Beloshapkin,26 F. Bench,34 V. Berardi,22 L. Berns,58 S. Bhadra,70 S. Bienstock,53 S. Bolognesi,6 T. Bonus,68 B. Bourguille,18 S. B. Boyd,66 A. Bravar,13 D. Bravo Berguño,1 C. Bronner,56 S. Bron,13 A. Bubak,51 M. Buizza Avanzini ,10 T. Campbell,7 S. Cao,16 S. L. Cartwright,50 M. G. Catanesi,22 A. Cervera,19 D. Cherdack,17 N. Chikuma,55 G. Christodoulou,12 M. Cicerchia,24,† J. Coleman,34 G. Collazu…

Fermi gasPhysics::Instrumentation and DetectorsMonte Carlo methodmeasured [channel cross section]KAMIOKANDEmuon neutrino01 natural sciencesPhysics Particles & FieldsHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)secondary beam [neutrino/mu][PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Particle Physics ExperimentsMuon neutrinoQDCharged currentQCPhysicsneutrino: energy spectrumJ-PARC LabPhysicsinteraction [neutrino nucleus]T2K experimentoscillation [neutrino]Monte Carlo [numerical calculations]suppressionNuclear & Particles PhysicskinematicsPhysical Sciences0202 Atomic Molecular Nuclear Particle and Plasma PhysicsGround statenumerical calculations: Monte Carlochannel cross section: measuredParticle Physics - Experiment530 PhysicsFOS: Physical sciencesAstronomy & Astrophysics530Nuclear physicsPionnear detector0103 physical sciencessimultaneous measurement0201 Astronomical and Space SciencesSCATTERINGddc:530010306 general physicsNeutrino oscillation0206 Quantum Physicscross section: charged currentMuonScience & Technologynucleus: ground stateNUCLEI010308 nuclear & particles physicsnucleus: targethep-excarbonenergy spectrum [neutrino]neutrino nucleus: interactionground state [nucleus]neutrino/mu: secondary beamtarget [nucleus]random phase approximationcharged current [cross section]High Energy Physics::Experimentneutrino: oscillationoxygenexperimental resultsPhysical Review D
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