Search results for "TEL"

showing 10 items of 26778 documents

Matter Mixing in Aspherical Core-collapse Supernovae: Three-dimensional Simulations with Single Star and Binary Merger Progenitor Models for SN 1987A

2019

We perform three-dimensional hydrodynamic simulations of aspherical core-collapse supernovae focusing on the matter mixing in SN 1987A. The impacts of four progenitor (pre-supernova) models and parameterized aspherical explosions are investigated. The four pre-supernova models include a blue supergiant (BSG) model based on a slow merger scenario developed recently for the progenitor of SN 1987A (Urushibata et al. 2018). The others are a BSG model based on a single star evolution and two red supergiant (RSG) models. Among the investigated explosion (simulation) models, a model with the binary merger progenitor model and with an asymmetric bipolar-like explosion, which invokes a jetlike explo…

010504 meteorology & atmospheric sciencesSupergiant starAstrophysics::High Energy Astrophysical PhenomenaBinary numberchemistry.chemical_elementNeutron starFOS: Physical sciencesHydrodynamical simulationAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesSettore FIS/05 - Astronomia E Astrofisica0103 physical sciencesCore-collapse supernovaeAstrophysics::Solar and Stellar AstrophysicsRed supergiant010303 astronomy & astrophysicsMixing (physics)HeliumStellar evolutionary modelSolar and Stellar Astrophysics (astro-ph.SR)Astrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesLine (formation)PhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)Astronomy and AstrophysicsSupernova dynamicSupernovaNeutron starchemistryAstrophysics - Solar and Stellar AstrophysicsSpace and Planetary ScienceExplosive nucleosynthesisSupergiantAstrophysics - High Energy Astrophysical Phenomena
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Indication of a Pulsar Wind Nebula in the Hard X-Ray Emission from SN 1987A

2021

Since the day of its explosion, SN 1987A (SN87A) was closely monitored with the aim to study its evolution and to detect its central compact relic. The detection of neutrinos from the supernova strongly supports the formation of a neutron star (NS). However, the constant and fruitless search for this object has led to different hypotheses on its nature. Up to date, the detection in the ALMA data of a feature somehow compatible with the emission arising from a proto Pulsar Wind Nebula (PWN) is the only hint of the existence of such elusive compact object. Here we tackle this 33-years old issue by analyzing archived observations of SN87A performed Chandra and NuSTAR in different years. We fir…

010504 meteorology & atmospheric sciencesSupernova remnantsAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesSynchrotron radiationAstrophysics::Cosmology and Extragalactic AstrophysicsAstrophysicsCompact starX-ray sources01 natural sciencesPulsar wind nebulaNeutron starsX-ray astronomy0103 physical sciencesPlasma astrophysicsEjectaX-ray point sources010303 astronomy & astrophysicsCompact objectsX-ray observatoriesShocksAstrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsX-ray astronomyAstronomy and AstrophysicsNeutron starSupernovaInterstellar synchrotron emissionSpace and Planetary ScienceNeutrinoAstrophysics - High Energy Astrophysical Phenomena
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FLEX/S3 Tandem Mission Performance Assessment: Evolution of the End-to-End Simulator Flex-E

2018

An End-to-end simulator (E2ES) is a tool to evaluate the performance of a satellite mission. Once a mission is approved for operation, E2ES evolves during Phase C/D to become a supporting tool for the development and validation of the ground data processor, as well as for simulating data sets to test the Prototype and Operational Processors. FLEX-E is the E2ES of the FLEX/Sentinel-3 tandem mission, which was selected in 2015 as ESA's eighth Earth Explorer. The FLEX-E evolution implies the consolidation of all the retrieval algorithms (e.g. fluorescence, reflectance, biophysical variables), the implementation of new scientific developments, as well the improvement of the co-registration proc…

010504 meteorology & atmospheric sciencesTandemComputer science0211 other engineering and technologiesAtmospheric correctionProcess (computing)02 engineering and technology01 natural sciencesData processing systemEnd-to-end principleFLEXSatelliteSimulation021101 geological & geomatics engineering0105 earth and related environmental sciencesIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Results from DROXO IV. EXTraS discovery of an X-ray flare from the Class I protostar candidate ISO-Oph 85

2016

X-ray emission from Young Stellar Objects (YSOs) is crucial to understand star formation. A very limited amount of X-ray results is available for the protostellar (ClassI) phase. A systematic search of transient X-ray phenomena combined with a careful evaluation of the evolutionary stage offer a widely unexplored window to our understanding of YSOs X-ray properties. Within the EXTraS project, a search for transients and variability in the whole XMM-Newton archive, we discover transient X-ray emission consistent with ISO-Oph 85, a strongly embedded YSO in the rho Ophiuchi region, not detected in previous time-averaged X-ray studies. We extract an X-ray light curve for the flare and determine…

010504 meteorology & atmospheric sciencesYoung stellar objectAstrophysics::High Energy Astrophysical PhenomenaPopulationFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesflares; X-rayslaw.inventionPhotometry (optics)law0103 physical sciencesProtostarAstrophysics::Solar and Stellar Astrophysicseducation010303 astronomy & astrophysicsAstrophysics::Galaxy AstrophysicsSolar and Stellar Astrophysics (astro-ph.SR)0105 earth and related environmental sciencescoronaePhysicseducation.field_of_studystars: protostarsStar formationactivityAstronomy and AstrophysicsLight curveAstrophysics - Solar and Stellar Astrophysics13. Climate actionSpace and Planetary ScienceSpectral energy distributionAstrophysics::Earth and Planetary AstrophysicsFlare
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Deep X-ray view of the Class I YSO Elias 29 with XMM-Newton and NuSTAR

2019

[Abridged] We investigated the X-ray characteristics of the Class I YSO Elias 29 with joint XMM-Newton and NuSTAR observations of 300 ks and 450 ks, respectively. These are the first observations of a very young (<1 Myr) stellar object in a band encompassing simultaneously both soft and hard X-rays. In addition to the hot Fe complex at 6.7 keV, we observed fluorescent emission from Fe at $\sim6.4$ keV, confirming the previous findings. The line at 6.4 keV is detected during quiescent and flaring states and its flux is variable. The equivalent width is found varying in the $\approx 0.15--0.5$ keV range. These values make unrealistic a simple model with a centrally illuminated disk and sug…

010504 meteorology & atmospheric sciencesYoung stellar objectAstrophysics::High Energy Astrophysical PhenomenaPopulationFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural scienceslaw.inventionSettore FIS/05 - Astronomia E Astrofisicalaw0103 physical sciencesAstrophysics::Solar and Stellar Astrophysicseducation010303 astronomy & astrophysicsSolar and Stellar Astrophysics (astro-ph.SR)Astrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesLine (formation)PhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)education.field_of_studyStar formationAstronomy and AstrophysicsCoronaAccretion (astrophysics)Astrophysics - Solar and Stellar AstrophysicsSpace and Planetary ScienceAstrophysics - High Energy Astrophysical Phenomenastars:activity–stars:coronae–stars:pre-mainsequence–stars:formation–stars:flareEquivalent widthFlare
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Soil moisture modelling of a SMOS pixel: interest of using the PERSIANN database over the Valencia Anchor Station

2010

In the framework of Soil Moisture and Ocean Salinity (SMOS) Calibration/Validation (Cal/Val) activities, this study addresses the use of the PERSIANN-CCS<sup>1</sup>database in hydrological applications to accurately simulate a whole SMOS pixel by representing the spatial and temporal heterogeneity of the soil moisture fields over a wide area (50×50 km<sup>2</sup>). The study focuses on the Valencia Anchor Station (VAS) experimental site, in Spain, which is one of the main SMOS Cal/Val sites in Europe. <br><br> A faithful representation of the soil moisture distribution at SMOS pixel scale (50×50 km<sup>2</sup>) requires an accurate estimation…

010504 meteorology & atmospheric sciences[SDE.MCG]Environmental Sciences/Global Changessatellite0207 environmental engineeringContext (language use)02 engineering and technologysystemcomputer.software_genrerainfall estimation01 natural scienceslcsh:Technologylcsh:TD1-1066Precipitation[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrologylcsh:Environmental technology. Sanitary engineering020701 environmental engineeringWater contentprecipitation estimationretrievallcsh:Environmental sciences0105 earth and related environmental sciencesRemote sensinglcsh:GE1-350DatabaseRain gaugeMoisturelcsh:Tlcsh:Geography. Anthropology. RecreationLife Sciencesneural-network15. Life on landparameterizationokavango riverproductsafricalcsh:G13. Climate actionSoil waterPERSIANNEnvironmental scienceSpatial variabilitycomputerHydrology and Earth System Sciences
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Monitoring elevation variations in leaf phenology of deciduous broadleaf forests from SPOT/VEGETATION time-series

2011

International audience; In mountain forest ecosystems where elevation gradients are prominent, temperature gradient-based phonological variability can be high. However, there are few studies that assess the capability of remote sensing observations to monitor ecosystem phenology along elevation gradients, despite their relevance under climate change. We investigated the potential of medium resolution remotely sensed data to monitor the elevation variations in the seasonal dynamics of a temperate deciduous broadleaf forested ecosystem. Further, we explored the impact of elevation on the onset of spring leafing. This study was based on the analysis of multi-annual time-series of VEGETATION da…

010504 meteorology & atmospheric sciences[SDV]Life Sciences [q-bio]0211 other engineering and technologiesSoil Science02 engineering and technologyLand coverSPRING PHENOLOGYPhonologyTemperate deciduous forest01 natural sciencesPLANT PHENOLOGYGLOBAL CHANGEComputers in Earth SciencesBeechVEGETATION PHENOLOGY021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingCLIMATE-CHANGEbiologyPhenologyElevationLeaf unfoldingGeologyVegetation15. Life on landbiology.organism_classificationDeciduous forestNOAA-AVHRRDeciduousMODISTemporal unmixingHIGH-LATITUDES13. Climate actionElevation[SDE]Environmental SciencesSATELLITE DATAEnvironmental scienceCommon spatial patternVEGETATIONPerpendicular vegetation indexREMOTE-SENSING DATARemote Sensing of Environment
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Predicting year of plantation with hyperspectral and lidar data

2017

This paper introduces a methodology for predicting the year of plantation (YOP) from remote sensing data. The application has important implications in forestry management and inventorying. We exploit hyperspectral and LiDAR data in combination with state-of-the-art machine learning classifiers. In particular, we present a complete processing chain to extract spectral, textural and morphological features from both sensory data. Features are then combined and fed a Gaussian Process Classifier (GPC) trained to predict YOP in a forest area in North Carolina (US). The GPC algorithm provides accurate YOP estimates, reports spatially explicit maps and associated confidence maps, and provides sens…

010504 meteorology & atmospheric sciencesbusiness.industryComputer scienceForest managementFeature extraction0211 other engineering and technologiesHyperspectral imagingPattern recognition02 engineering and technologyVegetation15. Life on land01 natural sciencessymbols.namesakeLidarsymbolsLidar dataArtificial intelligencebusinessClassifier (UML)Gaussian process021101 geological & geomatics engineering0105 earth and related environmental sciences2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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Models and data analysis tools for the Solar Orbiter mission

2020

All authors: Rouillard, A. P.; Pinto, R. F.; Vourlidas, A.; De Groof, A.; Thompson, W. T.; Bemporad, A.; Dolei, S.; Indurain, M.; Buchlin, E.; Sasso, C.; Spadaro, D.; Dalmasse, K.; Hirzberger, J.; Zouganelis, I.; Strugarek, A.; Brun, A. S.; Alexandre, M.; Berghmans, D.; Raouafi, N. E.; Wiegelmann, T.; Pagano, P.; Arge, C. N.; Nieves-Chinchilla, T.; Lavarra, M.; Poirier, N.; Amari, T.; Aran, A.; Andretta, V.; Antonucci, E.; Anastasiadis, A.; Auchère, F.; Bellot Rubio, L.; Nicula, B.; Bonnin, X.; Bouchemit, M.; Budnik, E.; Caminade, S.; Cecconi, B.; Carlyle, J.; Cernuda, I.; Davila, J. M.; Etesi, L.; Espinosa Lara, F.; Fedorov, A.; Fineschi, S.; Fludra, A.; Génot, V.; Georgoulis, M. K.; Gilbe…

010504 meteorology & atmospheric sciencescorona [Sun]Solar windAstrophysics[SDU.ASTR] Sciences of the Universe [physics]/Astrophysics [astro-ph]7. Clean energy01 natural scienceslaw.inventionData acquisitionlawCoronal mass ejectiongeneral [Sun]QB AstronomyAstrophysics::Solar and Stellar Astrophysics010303 astronomy & astrophysicsSun: magnetic fieldsQCComputingMilieux_MISCELLANEOUSQBPhysics[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]3rd-DASenergetic particlesSolar windCORONAL MASS EJECTIONSnumerical modelingmagnetic fields [Sun]solar windPhysics::Space PhysicsSystems engineeringAstrophysics::Earth and Planetary Astrophysicsatmosphere [Sun]fundamental parameters [Sun]Sun: generalFORCE-FREE FIELDSun: fundamental parametersSolar radiusContext (language use)STREAMER STRUCTUREOrbiter0103 physical sciencesOPTIMIZATION APPROACH[SDU.ASTR.SR] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR]POLARIZATION MEASUREMENTSSun: Solar wind3-DIMENSIONAL STRUCTURE0105 earth and related environmental sciencesSpacecraftbusiness.industrySun: corona[SDU.ASTR.SR]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR]solar coronaMAGNETIC-FLUX ROPESAstronomy and AstrophysicsSHOCKS DRIVEN115 Astronomy Space scienceSPECTRAL-LINESQC Physics13. Climate actionSpace and Planetary SciencebusinessHeliosphereSun: atmosphereELECTRON-DENSITY
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Gravitational wave signature of proto-neutron star convection: I. MHD numerical simulations

2021

Gravitational waves provide a unique and powerful opportunity to constrain the dynamics in the interior of proto-neutron stars during core collapse supernovae. Convective motions play an important role in generating neutron stars magnetic fields, which could explain magnetar formation in the presence of fast rotation. We compute the gravitational wave emission from proto-neutron star convection and its associated dynamo, by post-processing three-dimensional MHD simulations of a model restricted to the convective zone in the anelastic approximation. We consider two different proto-neutron star structures representative of early times (with a convective layer) and late times (when the star is…

010504 meteorology & atmospheric sciencesdimension: 3neutron star: magnetic fieldtorusAstrophysicsMagnetar01 natural sciencesrotationstarstrong fieldMagnetarsAstrophysics::Solar and Stellar Astrophysicsgravitational radiation: spectrumgravitational radiation: signatureSupernova core collapse010303 astronomy & astrophysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsMethods numerical[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]formationscalingSupernovaAmplitudeAstrophysics - Solar and Stellar AstrophysicsConvection zoneAstrophysics - High Energy Astrophysical PhenomenaDynamosupernova: collapseprotoneutron starFOS: Physical sciencesConvectionsymmetry: axialGravitational waves0103 physical sciencesstructurenumerical calculationsSolar and Stellar Astrophysics (astro-ph.SR)0105 earth and related environmental sciencesGravitational waveAstronomy and AstrophysicsmagnetarNeutron star13. Climate actionSpace and Planetary Scienceefficiencygravitational radiation: emissionMagnetohydrodynamics[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph][PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]
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