Search results for "Astrophysics"

showing 10 items of 8341 documents

Lyman break and ultraviolet-selected galaxies at z ̃ 1-I. Stellar populations from the ALHAMBRA survey

2013

We take advantage of the exceptional photometric coverage provided by the combination of GALEX data in the ultraviolet (UV) and the ALHAMBRA survey in the optical and near-infrared to analyse the physical properties of a sample of 1225 GALEX-selected Lyman break galaxies (LBGs) at 0.8 ≲ z ≲ 1.2 that are located in the COSMOS field. This is the largest sample of LBGs studied in this redshift range to date. According to a spectral energy distribution (SED) fitting with synthetic stellar population templates, we find that LBGs at z ̃ 1 are mostly young galaxies with a median age of 341 Myr and have intermediate dust attenuation, (Es(B - V)) ̃ 0.20. Owing to the selection criterion, LBGs at z ̃…

media_common.quotation_subjectLibrary scienceAstrophysics::Cosmology and Extragalactic Astrophysicsstar formation [Galaxies]high-redshift [Galaxies]ExcellenceAstrophysics::Solar and Stellar Astrophysicsobservations [Cosmology]Astrophysics::Galaxy Astrophysicsmedia_commonPhysicsGalaxies: star formationphotometry [Galaxies]Cosmology: observationsGalaxies: high-redshiftAstronomyGalaxies: evolutionAstronomy and AstrophysicsGalaxies: photometryevolution [Galaxies]Galaxygalaxies [Ultraviolet]Space and Planetary ScienceUltraviolet: galaxiesAstrophysics::Earth and Planetary AstrophysicsAdministration (government)
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The VST Photometric Hα Survey of the Southern Galactic Plane and Bulge (VPHAS+)

2014

The VST Photometric Halpha Survey of the Southern Galactic Plane and Bulge (VPHAS+) is surveying the southern Milky Way in u, g, r, i and Halpha at 1 arcsec angular resolution. Its footprint spans the Galactic latitude range -5 < b < +5 at all longitudes south of the celestial equator. Extensions around the Galactic Centre to Galactic latitudes +/-10 bring in much of the Galactic Bulge. This ESO public survey, begun on 28th December 2011, reaches down to 20th magnitude (10-sigma) and will provide single-epoch digital optical photometry for around 300 million stars. The observing strategy and data pipelining is described, and an appraisal of the segmented narrowband Halpha filter in us…

media_common.quotation_subjectMilky WayAstronomyFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics7. Clean energyPhotometry (optics)BulgeQB460Astrophysics::Solar and Stellar AstrophysicsQCAstrophysics::Galaxy Astrophysicsmedia_commonQBPhysicsCelestial equatorWhite dwarfAstronomyAstronomy and AstrophysicsGalactic planeAstrophysics - Astrophysics of GalaxiesStars13. Climate actionSpace and Planetary ScienceSkyAstrophysics of Galaxies (astro-ph.GA)ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGAstrophysics::Earth and Planetary Astrophysics
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Spurious source generation in mapping from noisy phase-self-calibrated data

2008

Phase self-calibration (or selfcal) is an algorithm often used in the calibration of interferometric observations in astronomy. Although a powerful tool, this algorithm presents strong limitations when applied to data with a low signal-to-noise ratio. We analyze the artifacts that the phase selfcal algorithm produces when applied to extremely noisy data. We show how the phase selfcal may generate a spurious source in the sky from a distribution of completely random visibilities. This spurious source is indistinguishable from a real one. We numerically and analytically compute the relationship between the maximum spurious flux density generated by selfcal from noise and the particulars of th…

media_common.quotation_subjectPhase (waves)FOS: Physical sciencesAstrophysicsUNESCO::ASTRONOMÍA Y ASTROFÍSICAAstrophysicsNoise (electronics)Calibrationimage processing [Techniques]UNESCO::ASTRONOMÍA Y ASTROFÍSICA::Otras especialidades astronómicasdata analysis [Methods]Spurious relationshipmedia_commonPhysicsArtifact (error)Techniques : interferometric; Methods : data analysis; Techniques : image processingAstrophysics (astro-ph)Astrophysics::Instrumentation and Methods for AstrophysicsAstronomy and AstrophysicsInterferometryDistribution (mathematics)Space and Planetary ScienceSkyinterferometric [Techniques]Algorithm:ASTRONOMÍA Y ASTROFÍSICA::Otras especialidades astronómicas [UNESCO]:ASTRONOMÍA Y ASTROFÍSICA [UNESCO]Astronomy & Astrophysics
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The ALHAMBRA survey: Bayesian photometric redshifts with 23 bands for 3 deg2

2014

A. Molino et al.

media_common.quotation_subjectPhotometric systemAstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsSurveyslaw.inventionPhotometry (optics)Telescopelawdistances and redshifts [Galaxies]Astrophysics::Solar and Stellar Astrophysicsdata analysis [Methods]Astrophysics::Galaxy AstrophysicsComputingMilieux_MISCELLANEOUSPhotometric redshiftmedia_commonPhysics[PHYS]Physics [physics]photometry [Galaxies]photometric [Techniques]Astrophysics::Instrumentation and Methods for AstrophysicsAstronomyAstronomy and AstrophysicsCataloguesevolution [Galaxies]GalaxyRedshift13. Climate actionSpace and Planetary ScienceSkyMagnitude (astronomy)Astrophysics::Earth and Planetary Astrophysics[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
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Imaging for Ballistic Trauma: Other Applications of Forensic Imaging in the Living

2019

Firearms are mechanical instruments that allow launching remote specific bodies with mass (bullets) exploiting burst gas energy. The role of imaging for ballistic trauma is crucial in order to define the main characteristics for both judiciary and nonjudiciary purpose, which are the intracorporeal trajectory, the entrance and exit wounds, and the general characteristics of gunshot injuries.

medicine.medical_specialtyForensic radiologyForensic imagingComputer scienceAstrophysics::High Energy Astrophysical PhenomenaGunshotPostmortem CTPostmortem ctAstrophysics::Instrumentation and Methods for AstrophysicsmedicineForensic radiologyMedical physicsBallistic trauma
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Multiscale Information Decomposition Dissects Control Mechanisms of Heart Rate Variability at Rest and During Physiological Stress.

2019

Heart rate variability (HRV

medicine.medical_specialtyTechnology and Engineering0206 medical engineeringRR intervalRESPIRATORY SINUS ARRHYTHMIAPERIODGeneral Physics and Astronomysynergylcsh:Astrophysics02 engineering and technologyBiologyBaroreflexArticle03 medical and health sciences0302 clinical medicinestomatognathic systemInternal medicinelcsh:QB460-466RespirationMedicine and Health Sciencesmedicineotorhinolaryngologic diseasesHeart rate variabilitycardiovascular diseasesVagal tonelcsh:SciencePhysiological stressinformation theoryBAROREFLEXredundancyheart rate variabilityvirus diseasesmultiscale analysisEntropy cardiovascular variability redundancy autonomic nervous system020601 biomedical engineeringlcsh:QC1-999ARTERIAL-PRESSUREAutonomic nervous systemBlood pressuretime series analysisCardiologyinformation decompositionlcsh:QentropyCARDIOPULMONARYlcsh:Physics030217 neurology & neurosurgerycirculatory and respiratory physiologyEntropy (Basel, Switzerland)
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Postoperative Lens Position Preoperatively Determined by Scheimpflug Photography

1999

The position of the artificial lens has an important influence on refractive power calculation. We compared the position of the crystalline lens with that of the artificial lens after cataract surgery by means of Scheimpflug photography. A difference in position of approximately 0.8 mm in the anterior direction could be determined.

medicine.medical_specialtygenetic structuresComputer Science::Neural and Evolutionary ComputationScheimpflug principlePhysics::OpticsAfter cataractOptical powerCataract ExtractionAstrophysics::Cosmology and Extragalactic Astrophysicslaw.inventionCataract extractionCellular and Molecular NeuroscienceLens Implantation IntraocularPosition (vector)lawProsthesis FittingOphthalmologyLens CrystallinePreoperative Caremental disordersPhotographymedicineHumansPostoperative PeriodLenses Intraocularbusiness.industryPhotographyGeneral Medicineeye diseasesSensory SystemsLens (optics)OphthalmologyOptometrysense organsbusinesspsychological phenomena and processesOphthalmic Research
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Sudrabaino mākoņu novērojumu žurnāli, 1969: Rīga, Sigulda

1969

Digitalizētie mezosfēras mākoņu 1969. gada RĪGAS (nepilnīgi dati) un SIGULDAS novērojumu žurnāli: novērojumu sezonas naktis, novērotāji, MK identifikācija, meteoroloģiskā situācija, informācija par uzņemtajām fotogrāfijām. --//-- Mesospheric cloud observation data in Riga (uncompleted data) and Sigulda, 1969, digitized observation logs: observation season nights, observers, MC identification, meteorological situation, information about the photos taken.

mesospheric cloudsmezosfēras mākoņinoctilucent clouds:NATURAL SCIENCES::Physics::Astronomy and astrophysics::Astronomy [Research Subject Categories]sudrabainie mākoņiobservation data
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Sudrabaino mākoņu novērojumu žurnāli, 1968: Rīga

1968

Digitalizētie mezosfēras mākoņu 1968. gada RĪGAS novērojumu žurnāls: novērojumu sezonas naktis, novērotāji, MK identifikācija, meteoroloģiskā situācija, informācija par uzņemtajām fotogrāfijām. Nepilnīgi dati. --//-- Mesospheric cloud observation data in Riga, 1968, digitized observation logs: observation season nights, observers, MC identification, meteorological situation, information about the photos taken. Uncompleted data.

mesospheric cloudsmezosfēras mākoņinoctilucent clouds:NATURAL SCIENCES::Physics::Astronomy and astrophysics::Astronomy [Research Subject Categories]sudrabainie mākoņiobservation data
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Sudrabaino mākoņu novērojumu žurnāli, 1967: Rīga, Sigulda

1967

Digitalizētie mezosfēras mākoņu 1967. gada RĪGAS un SIGULDAS novērojumu žurnāli: novērojumu sezonas naktis, novērotāji, MK identifikācija, meteoroloģiskā situācija, informācija par uzņemtajām fotogrāfijām. --//-- Mesospheric cloud observation data in Riga and Sigulda, 1967, digitized observation logs: observation season nights, observers, MC identification, meteorological situation, information about the photos taken.

mesospheric cloudsmezosfēras mākoņinoctilucent clouds:NATURAL SCIENCES::Physics::Astronomy and astrophysics::Astronomy [Research Subject Categories]sudrabainie mākoņiobservation data
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