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Dive into the research topics where Antonio D. Montero-Dorta is active.

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Featured researches published by Antonio D. Montero-Dorta.


Monthly Notices of the Royal Astronomical Society | 2016

The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: modelling the clustering and halo occupation distribution of BOSS CMASS galaxies in the Final Data Release

Sergio Rodríguez-Torres; Chia-Hsun Chuang; Francisco Prada; Hong Guo; Anatoly Klypin; Peter Behroozi; Chang Hoon Hahn; Johan Comparat; Gustavo Yepes; Antonio D. Montero-Dorta; Joel R. Brownstein; Claudia Maraston; Cameron K. McBride; Jeremy L. Tinker; Stefan Gottlöber; Ginevra Favole; Yiping Shu; Francisco-Shu Kitaura; Adam S. Bolton; Roman Scoccimarro; Lado Samushia; David J. Schlegel; Donald P. Schneider; Daniel Thomas

Citation: Rodriguez-Torres, S. A., Chuang, C. H., Prada, F., Guo, H., Klypin, A., Behroozi, P., . . . Thomas, D. (2016). The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: modelling the clustering and halo occupation distribution of BOSS CMASS galaxies in the Final Data Release. Monthly Notices of the Royal Astronomical Society, 460(2), 1173-1187. doi:10.1093/mnras/stw1014


Monthly Notices of the Royal Astronomical Society | 2014

The ALHAMBRA survey : evolution of galaxy clustering since z ~ 1.

P. Arnalte-Mur; V. J. Martínez; Peder Norberg; Alberto Fernandez-Soto; Begoña Ascaso; Alex Merson; J. A. L. Aguerri; Francisco J. Castander; Ll. Hurtado-Gil; C. López-Sanjuan; A. Molino; Antonio D. Montero-Dorta; Mauro Stefanon; E. J. Alfaro; T. Aparicio-Villegas; N. Benítez; Tom Broadhurst; J. Cabrera-Caño; J. Cepa; M. Cerviño; D. Cristóbal-Hornillos; A. del Olmo; R. M. González Delgado; C. Husillos; L. Infante; I. Márquez; J. Masegosa; M. Moles; J. Perea; M. Pović

PA-M was supported by an ERC StG Grant (DEGAS-259586). PN acknowledges the support of the Royal Society through the award of a University Research Fellowship and the European Research Council, through receipt of a Starting Grant (DEGAS-259586). This work was supported by the Science and Technology Facilities Council (grant number ST/F001166/1), by the Generalitat Valenciana (project of excellence Prometeo 2009/064), by the Junta de Andalucia (Excellence Project P08-TIC-3531) and by the SpanishMinistry for Science and Innovation (grantsAYA2010-22111-C03-01 and CSD2007-00060).


The Astrophysical Journal | 2017

The Correlation between Halo Mass and Stellar Mass for the Most Massive Galaxies in the Universe

Jeremy L. Tinker; Joel R. Brownstein; Hong Guo; Alexie Leauthaud; Claudia Maraston; Karen L. Masters; Antonio D. Montero-Dorta; Daniel Thomas; Rita Tojeiro; Benjamin J. Weiner; Idit Zehavi; Matthew D. Olmstead

We present measurements of the clustering of galaxies as a function of their stellar mass in the Baryon Oscillation Spectroscopic Survey. We compare the clustering of samples using 12 different methods for estimating stellar mass, isolating the method that has the smallest scatter at fixed halo mass. In this test, the stellar mass estimate with the smallest errors yields the highest amplitude of clustering at fixed number density. We find that the PCA stellar masses of Chen etal (2012) clearly have the tightest correlation with halo mass. The PCA masses use the full galaxy spectrum, differentiating them from other estimates that only use optical photometric information. Using the PCA masses, we measure the large-scale bias as a function of Mgal for galaxies with logMgal>=11.4, correcting for incompleteness at the low-mass end of our measurements. Using the abundance-matching ansatz to connect dark matter halo mass to stellar mass, we construct theoretical models of b(Mgal) that match the same stellar mass function but have different amounts of scatter in stellar mass at fixed halo mass, sigma_logM. Using this approach, we find sigma_logM=0.18^{+0.01}_{-0.02}. This value includes both intrinsic scatter as well as random errors in the stellar masses. To partially remove the latter, we use repeated spectra to estimate statistical errors on the stellar masses, yielding an upper limit to the intrinsic scatter of 0.16 dex.


The Astrophysical Journal | 2016

THE BOSS EMISSION-LINE LENS SURVEY. III. STRONG LENSING of Lyα EMITTERS by INDIVIDUAL GALAXIES

Yiping Shu; Adam S. Bolton; Christopher S. Kochanek; Masamune Oguri; I. Perez-Fournon; Zheng Zheng; Shude Mao; Antonio D. Montero-Dorta; Joel R. Brownstein; Rui Marques-Chaves; Brice Ménard

We introduce the Baryon Oscillation Spectroscopic Survey (BOSS) Emission-Line Lens Survey (BELLS) for GALaxy-Ly


Monthly Notices of the Royal Astronomical Society | 2016

The high-mass end of the red sequence at z ∼ 0.55 from SDSS-III/BOSS: completeness, bimodality and luminosity function

Antonio D. Montero-Dorta; Adam S. Bolton; Joel R. Brownstein; M. E. C. Swanson; Kyle S. Dawson; Francisco Prada; Daniel J. Eisenstein; Claudia Maraston; Daniel Thomas; Johan Comparat; Chia-Hsun Chuang; Cameron K. McBride; Ginevra Favole; Hong Guo; Sergio Rodríguez-Torres; Donald P. Schneider

\alpha


The Astrophysical Journal | 2016

THE BOSS EMISSION-LINE LENS SURVEY. IV. SMOOTH LENS MODELS for the BELLS GALLERY SAMPLE

Yiping Shu; Adam S. Bolton; Shude Mao; Christopher S. Kochanek; I. Perez-Fournon; Masamune Oguri; Antonio D. Montero-Dorta; Matthew A. Cornachione; Rui Marques-Chaves; Zheng Zheng; Joel R. Brownstein; Brice Ménard

EmitteR sYstems (BELLS GALLERY) Survey, which is a Hubble Space Telescope program to image a sample of galaxy-scale strong gravitational lens candidate systems with high-redshift Ly


Astronomy and Astrophysics | 2016

Discovery of a massive supercluster system at z ~ 0.47

Heidi Lietzen; Elmo Tempel; L. J. Liivamägi; Antonio D. Montero-Dorta; Maret Einasto; Alina Streblyanska; Claudia Maraston; J. A. Rubiño-Martín; Enn Saar

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The Astrophysical Journal | 2017

The Sloan Lens ACS Survey. XIII. Discovery of 40 New Galaxy-scale Strong Lenses

Yiping Shu; Joel R. Brownstein; Adam S. Bolton; Léon V. E. Koopmans; Tommaso Treu; Antonio D. Montero-Dorta; Matthew W. Auger; Oliver Czoske; R. Gavazzi; Philip J. Marshall; Leonidas A. Moustakas

emitters (LAEs) as the background sources. The goal of the BELLS GALLERY Survey is to illuminate dark substructures in galaxy-scale halos by exploiting the small-scale clumpiness of rest-frame far-UV emission in lensed LAEs, and to thereby constrain the slope and normalization of the substructure-mass function. In this paper, we describe in detail the spectroscopic strong-lens selection technique, which is based on methods adopted in the previous Sloan Lens ACS (SLACS) Survey, BELLS, and SLACS for the Masses Survey. We present the BELLS GALLERY sample of the 21 highest-quality galaxy--LAE candidates selected from


Monthly Notices of the Royal Astronomical Society | 2017

A direct measurement of the high-mass end of the velocity dispersion function at z ∼ 0.55 from SDSS-III/BOSS

Antonio D. Montero-Dorta; Adam S. Bolton; Yiping Shu

\approx 1.4 \times 10^6


Monthly Notices of the Royal Astronomical Society | 2017

Galaxy clustering dependence on the [O ii] emission line luminosity in the local Universe

Ginevra Favole; Sergio Rodríguez-Torres; Johan Comparat; Francisco Prada; Hong Guo; Anatoly Klypin; Antonio D. Montero-Dorta

galaxy spectra in the BOSS of the Sloan Digital Sky Survey III. These systems consist of massive galaxies at redshifts of approximately 0.5 strongly lensing LAEs at redshifts from 2--3. The compact nature of LAEs makes them an ideal probe of dark substructures, with a substructure-mass sensitivity that is unprecedented in other optical strong-lens samples. The magnification effect from lensing will also reveal the structure of LAEs below 100 pc scales, providing a detailed look at the sites of the most concentrated unobscured star formation in the universe. The source code used for candidate selection is available for download as a part of this release.

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Francisco Prada

Autonomous University of Madrid

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Ginevra Favole

Autonomous University of Madrid

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Sergio Rodríguez-Torres

Autonomous University of Madrid

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Hong Guo

Chinese Academy of Sciences

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Anatoly Klypin

New Mexico State University

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Donald P. Schneider

Pennsylvania State University

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