Search results for "Methods: numerical"

showing 10 items of 29 documents

Measuring the electron temperatures of coronal mass ejections with future space-based multi-channel coronagraphs: a numerical test

2018

Context. The determination from coronagraphic observations of physical parameters of the plasma embedded in coronal mass ejections (CMEs) is of crucial importance for our understanding of the origin and evolution of these phenomena. Aims. The aim of this work is to perform the first ever numerical simulations of a CME as it will be observed by future two-channel (visible light VL and UV Ly-α) coronagraphs, such as the Metis instrument on-board ESA-Solar Orbiter mission, or any other future coronagraphs with the same spectral band-passes. These simulations are then used to test and optimize the plasma diagnostic techniques to be applied to future observations of CMEs. Methods. The CME diagno…

010504 meteorology & atmospheric sciencesSun: coronal mass ejections (CMEs)Plasma parametersT-NDASContext (language use)Astrophysics01 natural sciencessymbols.namesakeMethods: data analysis0103 physical sciencesRadiative transferCoronal mass ejectionAstrophysics::Solar and Stellar AstrophysicsQB Astronomydata analysis [Methods]010303 astronomy & astrophysicsQCQB0105 earth and related environmental sciencesPhysicsUV radiation [Sun]numerical [Methods]Methods: numericalAstronomy and AstrophysicsPlasmaSun: UV radiationPolarization (waves)coronal mass ejections (CMEs) [Sun]Computational physicsQC PhysicsPlasmasSpace and Planetary SciencePhysics::Space PhysicssymbolsMagnetohydrodynamicsDoppler effectAstronomy & Astrophysics
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Pressure of the hot gas in simulations of galaxy clusters

2016

We analyze the radial pressure profiles, the ICM clumping factor and the Sunyaev-Zel'dovich (SZ) scaling relations of a sample of simulated galaxy clusters and groups identified in a set of hydrodynamical simulations based on an updated version of the TreePM-SPH GADGET-3 code. Three different sets of simulations are performed: the first assumes non-radiative physics, the others include, among other processes, AGN and/or stellar feedback. Our results are analyzed as a function of redshift, ICM physics, cluster mass and cluster cool-coreness or dynamical state. In general, the mean pressure profiles obtained for our sample of groups and clusters show a good agreement with X-ray and SZ observa…

Cosmology and Nongalactic Astrophysics (astro-ph.CO)Active galactic nucleusgalaxies: clusters: intracluster mediumCiencias FísicasFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesmethods: numerical//purl.org/becyt/ford/1 [https]Galaxy groups and clustersIntracluster medium0103 physical sciencesCluster (physics)clusters: general [galaxies]methods: numerical; galaxies: clusters: general; X-rays: galaxies: clusters; galaxies: clusters: intracluster medium010303 astronomy & astrophysicsScalingGalaxy clusterAstrophysics::Galaxy AstrophysicsPhysics010308 nuclear & particles physicsAstronomy and Astrophysicsnumerical [methods]//purl.org/becyt/ford/1.3 [https]Function (mathematics)Redshiftgalaxies: cluster [X-rays]CLUSTERS: GENERAL -X-RAYS: GALAXIES: CLUSTERS [GALAXIES]AstronomíaSpace and Planetary Sciencegalaxies: clusters: generalclusters: intracluster medium [galaxies]X-rays: galaxies: clustersCIENCIAS NATURALES Y EXACTASAstrophysics - Cosmology and Nongalactic Astrophysics
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Statistical Signatures of Nanoflare Activity. I. Monte Carlo Simulations and Parameter-space Exploration

2019

Small-scale magnetic reconnection processes, in the form of nanoflares, have become increasingly hypothesized as important mechanisms for the heating of the solar atmosphere, for driving propagating disturbances along magnetic field lines in the Sun's corona, and for instigating rapid jet-like bursts in the chromosphere. Unfortunately, the relatively weak signatures associated with nanoflares places them below the sensitivities of current observational instrumentation. Here, we employ Monte Carlo techniques to synthesize realistic nanoflare intensity time series from a dense grid of power-law indices and decay timescales. Employing statistical techniques, which examine the modeled intensity…

Physics010504 meteorology & atmospheric sciencesMonte Carlo methodFOS: Physical sciencesAstronomy and AstrophysicsMagnetic reconnectionAstrophysicsParameter space01 natural sciencesCoronaMagnetic fieldNanoflaresmethods: numerical – methods: statistical - Sun: activity – Sun: chromosphere – Sun: corona – Sun: flaresAstrophysics - Solar and Stellar AstrophysicsSpace and Planetary Science0103 physical sciencesPhysics::Space PhysicsAstrophysics::Solar and Stellar Astrophysics010303 astronomy & astrophysicsChromosphereIntensity (heat transfer)Solar and Stellar Astrophysics (astro-ph.SR)0105 earth and related environmental sciences
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Simulation-based marginal likelihood for cluster strong lensing cosmology

2015

Comparisons between observed and predicted strong lensing properties of galaxy clusters have been routinely used to claim either tension or consistency with $\Lambda$CDM cosmology. However, standard approaches to such cosmological tests are unable to quantify the preference for one cosmology over another. We advocate approximating the relevant Bayes factor using a marginal likelihood that is based on the following summary statistic: the posterior probability distribution function for the parameters of the scaling relation between Einstein radii and cluster mass, $\alpha$ and $\beta$. We demonstrate, for the first time, a method of estimating the marginal likelihood using the X-ray selected …

FOS: Computer and information sciencesSTATISTICAL [METHODS]Cold dark matterCosmology and Nongalactic Astrophysics (astro-ph.CO)NUMERICAL [METHODS]Ciencias FísicasPosterior probabilityFOS: Physical sciencesAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesStatistics - ApplicationsCosmologymethods: numerical//purl.org/becyt/ford/1 [https]cosmology: theory0103 physical sciencesCluster (physics)Applications (stat.AP)Statistical physics010303 astronomy & astrophysicsInstrumentation and Methods for Astrophysics (astro-ph.IM)Galaxy clusterPhysicsmethods: statisticalgravitational lensing: strong; methods: numerical; methods: statistical; galaxies: clusters: general; cosmology: theory010308 nuclear & particles physicsgravitational lensing: strongAstronomy and AstrophysicsBayes factor//purl.org/becyt/ford/1.3 [https]STRONG [GRAVITATIONAL LENSING]RedshiftMarginal likelihoodAstronomíaTHEORY [COSMOLOGY]Space and Planetary Sciencegalaxies: clusters: generalPhysics - Data Analysis Statistics and ProbabilityCLUSTERS: GENERAL [GALAXIES]Astrophysics - Instrumentation and Methods for AstrophysicsData Analysis Statistics and Probability (physics.data-an)CIENCIAS NATURALES Y EXACTASAstrophysics - Cosmology and Nongalactic Astrophysics
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Unveiling the spatial structure of the overionized plasma in the supernova remnant W49B

2011

W49B is a mixed-morphology supernova remnant with thermal X-ray emission dominated by the ejecta. In this remnant, the presence of overionized plasma has been directly established, with information about its spatial structure. However, the physical origin of the overionized plasma in W49B has not yet been understood. We investigate this intriguing issue through a 2D hydrodynamic model that takes into account, for the first time, the mixing of ejecta with the inhomogeneous circumstellar and interstellar medium, the thermal conduction, the radiative losses from optically thin plasma, and the deviations from equilibrium of ionization induced by plasma dynamics. The model was set up on the basi…

High Energy Astrophysical Phenomena (astro-ph.HE)ISM: individual objects: W49BPhysics::Plasma PhysicsAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesAstrophysics - High Energy Astrophysical PhenomenaISM: individual objects: G43.3-0.2Astrophysics::Galaxy Astrophysicshydrodynamicmethods: numericalISM: supernova remnants
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Mass-Metallicity Relation from Cosmological Hydrodynamical Simulations and X-ray Observations of Galaxy Groups and Clusters

2018

Recent X-ray observations of galaxy clusters show that the distribution of intra-cluster medium (ICM) metallicity is remarkably uniform in space and time. In this paper, we analyse a large sample of simulated objects, from poor groups to rich clusters, to study the dependence of the metallicity and related quantities on the mass of the systems. The simulations are performed with an improved version of the Smoothed-Particle-Hydrodynamics \texttt{GADGET-3} code and consider various astrophysical processes including radiative cooling, metal enrichment and feedback from stars and active galactic nuclei (AGN). The scaling between the metallicity and the temperature obtained in the simulations ag…

galaxies: clusters: intracluster mediumActive galactic nucleusCosmology and Nongalactic Astrophysics (astro-ph.CO)MetallicityFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesmethods: numericalGalaxy groups and clusters0103 physical sciencesCluster (physics)clusters: general [galaxies]methods: numerical; galaxies: clusters: general; galaxies: clusters: intracluster medium; X-rays: galaxies: clusters010303 astronomy & astrophysicsScalingGalaxy clusterPhysics010308 nuclear & particles physicsnumerical [methods]Astronomy and AstrophysicsAstrophysics - Astrophysics of GalaxiesRedshiftStarsgalaxies: clusters: generalclusters: intracluster medium [galaxies]Space and Planetary ScienceX-rays: galaxies: clustersAstrophysics of Galaxies (astro-ph.GA)galaxies: clusters [X-rays]Astrophysics - Cosmology and Nongalactic Astrophysics
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BCG Mass Evolution in Cosmological Hydro-Simulations

2018

We analyze the stellar growth of Brightest Cluster Galaxies (BCGs) produced by cosmological zoom-in hydrodynamical simulations of the formation of massive galaxy clusters. The evolution of the stellar mass content is studied considering different apertures, and tracking backwards either the main progenitor of the $z=0$ BCG or that of the cluster hosting the BCG at $z=0$. Both methods lead to similar results up to $z \simeq 1.5$. The simulated BCGs masses at $z=0$ are in agreement with recent observations. In the redshift interval from $z=1$ to $z=0$ we find growth factors 1.3, 1.6 and 3.6 for stellar masses within 30kpc, 50kpc and 10% of $R_{500}$ respectively. The first two factors, and in…

NUMERICAL [METHODS]Ciencias FísicasFOS: Physical sciencesEVOLUTION [CD- GALAXIES]Astrophysics::Cosmology and Extragalactic AstrophysicsGalaxies: formationELLIPTICAL AND LENTICULAR [GALAXIES]01 natural sciencesGENERAL [QUASARS]CD- galaxies: evolution; Galaxies: elliptical and lenticular; Galaxies: formation; Galaxies: haloes; Methods: numerical; Quasars: general; Astronomy and Astrophysics; Space and Planetary Science//purl.org/becyt/ford/1 [https]haloe [Galaxies]HALOES [GALAXIES]0103 physical sciencesGalaxies: haloesFORMATION [GALAXIES]010303 astronomy & astrophysicsAstrophysics::Galaxy AstrophysicsPhysicsGalaxies: elliptical and lenticularMethods: numerical010308 nuclear & particles physicsAstronomy and Astrophysics//purl.org/becyt/ford/1.3 [https]Astronomy and AstrophysicCD- galaxies: evolutionAstrophysics - Astrophysics of GalaxiesAstronomíaQuasars: general13. Climate actionSpace and Planetary ScienceAstrophysics of Galaxies (astro-ph.GA)HumanitiesCIENCIAS NATURALES Y EXACTASMonthly Notices of the Royal Astronomical Society
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Probing the Internal Structure of Magnetized, Relativistic Jets with Numerical Simulations

2016

From an observational point of view, unveiling the physical processes behind the nature of the jets emanating from radio-loud AGN demands the resolution of the structure across the jet with the highest angular resolutions. Relying on a magneto-fluid dynamical description, numerical simulations can help to characterize the internal structure of jets (transversal structure, magnetic field structure, internal shocks, etc.). In the first part of the paper, we shall discuss equilibrium models of magnetized, relativistic, infinite, axisymmetric jets with rotation propagating through a homogeneous, static, unmagnetized ambient medium. Then, these transversal equilibrium profiles will be used to bu…

PhysicsShock waveJet (fluid)Internal energyMagnetic energyMHDlcsh:Astronomy010308 nuclear & particles physicsAstrophysics::High Energy Astrophysical Phenomenagalaxies: activeAstronomy and Astrophysicsshock wavesgalaxies: jets01 natural sciencesmethods: numericalComputational physicsMagnetic fieldlcsh:QB1-991galaxies: active; galaxies: jets; methods: numerical; MHD; shock wavesRelativistic beamingClassical mechanicsAstrophysical jet0103 physical sciencesMagnetohydrodynamics010303 astronomy & astrophysicsGalaxies
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Total and linearly polarized synchrotron emission from overpressured magnetized relativistic jets

2018

We present relativistic magnetohydrodynamic (RMHD) simulations of stationary overpressured magnetized relativistic jets, which are characterized by their dominant type of energy: internal, kinetic, or magnetic. Each model is threaded by a helical magnetic field with a pitch angle of 45° and features a series of recollimation shocks produced by the initial pressure mismatch, whose strength and number varies as a function of the dominant type of energy. We perform a study of the polarization signatures from these models by integrating the radiative transfer equations for synchrotron radiation using as inputs the RMHD solutions. These simulations show a top-down emission asymmetry produced by …

Magnetohydrodynamics (MHD)active [Galaxies]Astrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesgalaxies [Radio continuum]01 natural sciencesRadio continuum: galaxiesNuclear physicsAstrophysical jet0103 physical sciences010306 general physics010303 astronomy & astrophysicsPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)polarizationnumerical [Methods]Methods: numericalLinear polarizationAstronomy and AstrophysicsGalaxies: activePolarization (waves)Synchrotron emissionGalaxies: jetsSpace and Planetary Sciencejets [Galaxies]Astrophysics - High Energy Astrophysical Phenomena
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The Gaia-ESO Survey: matching chemodynamical simulations to observations of the Milky Way

2017

The typical methodology for comparing simulated galaxies with observational surveys is usually to apply a spatial selection to the simulation to mimic the region of interest covered by a comparable observational survey sample. In this work, we compare this approach with a more sophisticated post-processing in which the observational uncertainties and selection effects (photometric, surface gravity and effective temperature) are taken into account. We compare a 'solar neighbourhood analogue' region in a model MilkyWay-like galaxy simulated with RAMSES-CH with fourth release Gaia-ESO survey data. We find that a simple spatial cut alone is insufficient and that the observational uncertainties …

Matching (statistics)Milky Wayastro-ph.GAFOS: Physical sciencesScale (descriptive set theory)AstrophysicsF500Astrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesmethods: numerical0103 physical sciencesgalaxies: formation010303 astronomy & astrophysicsSelection (genetic algorithm)Astrophysics::Galaxy AstrophysicsPhysics[PHYS]Physics [physics]numerical [Methods]010308 nuclear & particles physicsgalaxies: evolution - galaxies: formationabundances [Galaxy]Astronomy and AstrophysicsEffective temperatureSurface gravityevolution [Galaxies]Astrophysics - Astrophysics of Galaxiesformation [Galaxies]GalaxyGalaxy: abundanceGalaxies: evolution; Galaxies: formation; Galaxy: abundances; Methods: numerical; Astronomy and Astrophysics; Space and Planetary ScienceSpace and Planetary ScienceAstrophysics of Galaxies (astro-ph.GA)Survey data collectionGalaxy: abundancesmethods: numerical - Galaxy: abundancesgalaxies: evolution[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
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