0000000000150069

AUTHOR

Ll. Hurtado-gil

showing 8 related works from this author

A K s -band-selected catalogue of objects in the ALHAMBRA survey

2016

The original ALHAMBRA catalogue contained over 400 000 galaxies selected using a synthetic F814W image, to the magnitude limit AB(F814W) ≈ 24.5. Given the photometric redshift depth of the ALHAMBRA multiband data (〈 z〉 = 0.86) and the approximately I-band selection, there is a noticeable bias against red objects at moderate redshift.We avoid this bias by creating a new catalogue selected in the Ks band. This newly obtained catalogue is certainly shallower in terms of apparent magnitude, but deeper in terms of redshift, with a significant population of red objects at z > 1. We select objects using the Ks band images, which reach an approximate AB magnitude limit Ks ≈ 22. We generate masks an…

PopulationFOS: Physical sciencesAstrophysics::Cosmology and Extragalactic AstrophysicsAstrophysicsApproxSurveys01 natural sciencesPhotometry (optics)Apparent magnitude0103 physical sciencesobservations [Cosmology]education010303 astronomy & astrophysicsAstrophysics::Galaxy AstrophysicsPhotometric redshiftPhysicseducation.field_of_study010308 nuclear & particles physicsCosmology: observationsAstronomyGalaxies: evolutionAstronomy and AstrophysicsAB magnitudeevolution [Galaxies]Astrophysics - Astrophysics of GalaxiesGalaxyRedshiftSpace and Planetary ScienceAstrophysics of Galaxies (astro-ph.GA)[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Monthly Notices of the Royal Astronomical Society
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The ALHAMBRA survey: B -band luminosity function of quiescent and star-forming galaxies at 0.2 ≤  z  < 1 by PDF analysis

2016

[Aims]: Our goal is to study the evolution of the B-band luminosity function (LF) since z ∼ 1 using ALHAMBRA data. [Methods]: We used the photometric redshift and the I-band selection magnitude probability distribution functions (PDFs) of those ALHAMBRA galaxies with I ≤ 24 mag to compute the posterior LF. We statistically studied quiescent and star-forming galaxies using the template information encoded in the PDFs. The LF covariance matrix in redshift - magnitude - galaxy type space was computed, including the cosmic variance. That was estimated from the intrinsic dispersion of the LF measurements in the 48 ALHAMBRA sub-fields. The uncertainty due to the photometric redshift prior is also…

luminosity function mass function [Galaxies]Galaxies: statisticsAstrophysics::High Energy Astrophysical PhenomenaPopulationAstrophysics::Cosmology and Extragalactic AstrophysicsAstrophysics01 natural sciencesLuminositystatistics [Galaxies]0103 physical scienceseducation010303 astronomy & astrophysicsAstrophysics::Galaxy AstrophysicsPhotometric redshiftLuminosity function (astronomy)Physicseducation.field_of_study010308 nuclear & particles physicsGalaxies: luminosity function mass functionGalaxies: evolutionAstronomy and AstrophysicsCosmic varianceB bandevolution [Galaxies]Astrophysics - Astrophysics of GalaxiesRedshiftGalaxy[PHYS.ASTR.GA]Physics [physics]/Astrophysics [astro-ph]/Galactic Astrophysics [astro-ph.GA]Space and Planetary ScienceHigh Energy Physics::ExperimentAstrophysics::Earth and Planetary Astrophysics[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Astronomy & Astrophysics
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The best fit for the observed galaxy Counts-in-Cell distribution function

2017

The Sloan Digital Sky Survey (SDSS) is the first dense redshift survey encompassing a volume large enough to find the best analytic probability density function that fits the galaxy Counts-in-Cells distribution $f_V(N)$, the frequency distribution of galaxy counts in a volume $V$. Different analytic functions have been previously proposed that can account for some of the observed features of the observed frequency counts, but fail to provide an overall good fit to this important statistical descriptor of the galaxy large-scale distribution. Our goal is to find the probability density function that better fits the observed Counts-in-Cells distribution $f_V(N)$. We have made a systematic stud…

PhysicsCosmology and Nongalactic Astrophysics (astro-ph.CO)Distribution (number theory)010308 nuclear & particles physicsNegative binomial distributionFOS: Physical sciencesAstronomy and AstrophysicsProbability density functionAstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsRedshift survey01 natural sciencesGalaxyDistribution functionSpace and Planetary Science0103 physical sciencesLog-normal distributionStatistical physics010303 astronomy & astrophysicsAnalytic functionAstrophysics - Cosmology and Nongalactic Astrophysics
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Galaxy clusters and groups in the ALHAMBRA survey

2015

Ascaso, Begoña et al.

Cosmology and Nongalactic Astrophysics (astro-ph.CO)Large-scale structure of UniverseFOS: Physical sciencesAstrophysicsX-rays galaxies clustersclusters: general [Galaxies]Galaxies clusters generalobservations [Cosmology]Galaxy clusterPhysics[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]Cosmology: observationsFísicaAstronomyGalaxies: evolutionAstronomy and Astrophysicsevolution [Galaxies]Cosmology observationsCataloguesGalaxies evolutionSpace and Planetary Science[SDU]Sciences of the Universe [physics]X-rays: galaxies: clustersgalaxies: clusters [X-rays]Galaxies: clusters: generalAstrophysics - Cosmology and Nongalactic Astrophysics
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Shell-like structures in our cosmic neighbourhood

2016

Signatures of the processes in the early Universe are imprinted in the cosmic web. Some of them may define shell-like structures characterised by typical scales. We search for shell-like structures in the distribution of nearby rich clusters of galaxies drawn from the SDSS DR8. We calculate the distance distributions between rich clusters of galaxies, and groups and clusters of various richness, look for the maxima in the distance distributions, and select candidates of shell-like structures. We analyse the space distribution of groups and clusters forming shell walls. We find six possible candidates of shell-like structures, in which galaxy clusters have maxima in the distance distribution…

PhysicsUrsa MajorCosmology and Nongalactic Astrophysics (astro-ph.CO)010504 meteorology & atmospheric sciencesFOS: Physical sciencesAstronomy and AstrophysicsAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesGalaxyGalaxy groups and clustersSpace and Planetary ScienceSuperclusterGalaxy group0103 physical sciencesCluster (physics)Baryon acoustic oscillations010303 astronomy & astrophysicsGalaxy clusterAstrophysics::Galaxy Astrophysics0105 earth and related environmental sciencesAstrophysics - Cosmology and Nongalactic Astrophysics
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THE ALHAMBRA SURVEY: EVOLUTION OF GALAXY SPECTRAL SEGREGATION

2016

arXiv:1601.03668v1

statistical [Methods]Cosmology and Nongalactic Astrophysics (astro-ph.CO)Large-scale structure of universeFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesMethods statisticalGalaxies: distances and redshiftsMethods: data analysis0103 physical sciencesdistances and redshifts [Galaxies]observations [Cosmology]data analysis [Methods]010303 astronomy & astrophysicsMethods: statisticalAstrophysics::Galaxy AstrophysicsComputingMilieux_MISCELLANEOUSPhysics[PHYS]Physics [physics]010308 nuclear & particles physicsCosmology: observationsFísicaAstronomy and AstrophysicsAstrophysics - Astrophysics of GalaxiesGalaxySpace and Planetary ScienceAstrophysics of Galaxies (astro-ph.GA)[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Astrophysics - Cosmology and Nongalactic Astrophysics
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The ALHAMBRA survey: Estimation of the clustering signal encoded in the cosmic variance

2015

[Aims]: The relative cosmic variance (σv) is a fundamental source of uncertainty in pencil-beam surveys and, as a particular case of count-in-cell statistics, can be used to estimate the bias between galaxies and their underlying dark-matter distribution. Our goal is to test the significance of the clustering information encoded in the σv measured in the ALHAMBRA survey. [Methods]: We measure the cosmic variance of several galaxy populations selected with B-band luminosity at 0.35 ≤ z< 1.05 as the intrinsic dispersion in the number density distribution derived from the 48 ALHAMBRA subfields. We compare the observational σv with the cosmic variance of the dark matter expected from the theory…

Cosmology and Nongalactic Astrophysics (astro-ph.CO)Dark matterFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsCorrelation function (astronomy)01 natural sciencesLuminosityStatistics [Galaxies]0103 physical sciencesDark matterStatistical dispersionCluster analysis010303 astronomy & astrophysicsAstrophysics::Galaxy AstrophysicsComputingMilieux_MISCELLANEOUSPhysics[PHYS]Physics [physics]010308 nuclear & particles physicsAstronomy and AstrophysicsCosmic varianceAstrophysics - Astrophysics of GalaxiesGalaxyRedshiftSpace and Planetary ScienceAstrophysics of Galaxies (astro-ph.GA)Galaxies: Statistics[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Astrophysics - Cosmology and Nongalactic Astrophysics
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The ALHAMBRA survey: evolution of galaxy clustering since z∼1

2014

We study the clustering of galaxies as function of luminosity and redshift in the range $0.35 &lt; z &lt; 1.25$ using data from the Advanced Large Homogeneous Area Medium Band Redshift Astronomical (ALHAMBRA) survey. The ALHAMBRA data used in this work cover $2.38 \mathrm{deg}^2$ in 7 independent fields, after applying a detailed angular selection mask, with accurate photometric redshifts, $��_z \lesssim 0.014 (1+z)$, down to $I_{\rm AB} &lt; 24$. Given the depth of the survey, we select samples in $B$-band luminosity down to $L^{\rm th} \simeq 0.16 L^{*}$ at $z = 0.9$. We measure the real-space clustering using the projected correlation function, accounting for photometric redshifts uncert…

statistical [Methods]Cosmology and Nongalactic Astrophysics (astro-ph.CO)FOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsCorrelation function (astronomy)01 natural sciencesPhysical cosmologyLuminosityLarge-scale structure of Universe.0103 physical sciencesRange (statistics)distances and redshifts [Galaxies]Sample variance10. No inequalitydata analysis [Methods]observations [Cosmology]010303 astronomy & astrophysicsAstrophysics::Galaxy AstrophysicsPhysics010308 nuclear & particles physicsAstronomyAstronomy and AstrophysicsGalaxyRedshiftSpace and Planetary ScienceHaloAstrophysics - Cosmology and Nongalactic Astrophysics
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