Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/140008
Share/Export:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Title

High redshift galaxies in the ALHAMBRA survey

Other TitlesI. Selection method and number counts based on redshift PDFs
AuthorsViironen, Kerttu; López-Sanjuan, C.; Varela, Jesús CSIC; Cristóbal-Hornillos, David CSIC; Molino, Alberto CSIC ORCID; Fernández-Soto, Alberto CSIC ORCID ; Ascaso, Begoña CSIC ORCID; Cenarro, A.J.; Cerviño, Miguel CSIC ORCID ; Cepa, Jordi; Ederoclite, A.; Márquez, Isabel CSIC ORCID; Masegosa, Josefa CSIC ORCID ; Moles, Mariano CSIC; Oteo, I.; Pović, Mirjana; Aguerri, J.A.L.; Alfaro, Emilio J. CSIC ORCID CVN ; Aparicio Villegas, Teresa CSIC; Benítez, Narciso CSIC ORCID; Broadhurst, T.; Cabrera-Caño, Jesús; Castander, Francisco J. CSIC ORCID; Olmo, Ascensión del CSIC ORCID; González Delgado, Rosa M. CSIC ORCID ; Husillos, César CSIC ORCID; Infante, Leopoldo; Martínez, Vicente J. CSIC ORCID; Perea, Jaime CSIC ORCID; Prada, Francisco CSIC ORCID ; Quintana, José María CSIC
KeywordsGalaxies: distances and redshifts
Galaxies: evolution
Galaxies: high-redshift
Galaxies: statistics
Issue Date2015
PublisherEDP Sciences
CitationAstronomy and Astrophysics 576: A25 (2015)
Abstract[Context]: Most observational results on the high redshift restframe UV-bright galaxies are based on samples pinpointed using the so-called dropout technique or Ly-α selection. However, the availability of multifilter data now allows the dropout selections to be replaced by direct methods based on photometric redshifts. In this paper we present the methodology to select and study the population of high redshift galaxies in the ALHAMBRA survey data. [Aims]: Our aim is to develop a less biased methodology than the traditional dropout technique to study the high redshift galaxies in ALHAMBRA and other multifilter data. Thanks to the wide area ALHAMBRA covers, we especially aim at contributing to the study of the brightest, least frequent, high redshift galaxies. [Methods]: The methodology is based on redshift probability distribution functions (zPDFs). It is shown how a clean galaxy sample can be obtained by selecting the galaxies with high integrated probability of being within a given redshift interval. However, reaching both a complete and clean sample with this method is challenging. Hence, a method to derive statistical properties by summing the zPDFs of all the galaxies in the redshift bin of interest is introduced. [Results]: Using this methodology we derive the galaxy rest frame UV number counts in five redshift bins centred at z = 2.5,3.0,3.5,4.0, and 4.5, being complete up to the limiting magnitude at mUV(AB) = 24, where mUV refers to the first ALHAMBRA filter redwards of the Ly-α line. With the wide field ALHAMBRA data we especially contribute to the study of the brightest ends of these counts, accurately sampling the surface densities down to mUV(AB) = 21-22. [Conclusions]: We show that using the zPDFs it is easy to select a very clean sample of high redshift galaxies. We also show that it is better to do statistical analysis of the properties of galaxies using a probabilistic approach, which takes into account both the incompleteness and contamination issues in a natural way.
DescriptionBased on observations collected at the German-Spanish Astronomical Center, Calar Alto, jointly operated by the Max-Planck-Institut für Astronomie (MPIA) at Heidelberg and the Instituto de Astrofísica de Andalucía (CSIC).-- et al.
Publisher version (URL)http://dx.doi.org/10.1051/0004-6361/201425382
URIhttp://hdl.handle.net/10261/140008
DOI10.1051/0004-6361/201425382
Identifiersdoi: 10.1051/0004-6361/201425382
e-issn: 1432-0746
issn: 0004-6361
Appears in Collections:(IAA) Artículos
(IFCA) Artículos
(ICE) Artículos




Files in This Item:
File Description SizeFormat
HighALHAMBRAsurvey.pdf1,13 MBAdobe PDFThumbnail
View/Open
Show full item record
Review this work

SCOPUSTM   
Citations

10
checked on Mar 22, 2023

WEB OF SCIENCETM
Citations

10
checked on Mar 21, 2023

Page view(s)

380
checked on Mar 25, 2023

Download(s)

211
checked on Mar 25, 2023

Google ScholarTM

Check

Altmetric

Altmetric


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.