The GOODS-MUSIC sample: a multicolour catalog of near-IR selected galaxies in the GOODS-South field ,

By A. Grazian, A. Fontana, C. Santis, M. Nonino, S. Salimbeni, E. Giallongo, S. Cristiani, S. Gallozzi, E. Roma, Inaf - Trieste. 2006

288 citations recorded by the source corpus.

Aims. We present a high quality multiwavelength (from 0.3 to 8.0 µm) catalog of the large and deep area in the GOODS Southern Field covered by the deep near-IR observations obtained with the ESO VLT. Methods. The catalog is entirely based on public data: in our analysis, we have included the F435W, F606W, F775W and F850LP ACS images, the JHKs VLT data, the Spitzer data provided by IRAC instrument (3.6, 4.5, 5.8 and 8.0 µm), and publicly available U-band data from the 2.2ESO and VLT-VIMOS. We describe in detail the procedures adopted to obtain this multiwavelength catalog. In particular, we developed a specific software for the accurate “PSF-matching” of space and ground-based images of different resolution and depth (ConvPhot), of which we analyse performances and limitations. We have included both z-selected, as well as Ks-selected objects, yielding a unique, self-consistent catalog. The largest fraction of the sample is 90% complete at z � 26 or Ks � 23.8 (AB scale). Finally, we cross-correlated our data with all the spectroscopic catalogs available to date, assigning a spectroscopic redshift to more than 1000 sources. Results. The final catalog is made up of 14 847 objects, at least 72 of which are known stars, 68 are AGNs, and 928 galaxies with spectroscopic redshift (668 galaxies with reliable redshift determination). We applied our photometric redshift code to this data set, and the comparison with the spectroscopic sample shows that the quality of the resulting photometric redshifts is excellent, with an average scatter of only 0.06. The full catalog, which we named GOODS-MUSIC (MUltiwavelength Southern Infrared Catalog), including the spectroscopic information, is made publicly available, together with the software specifically designed to this end.

Subfields: Astronomy and Astrophysics, Instrumentation

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Citations in the corpus

A HIGHLY CONSISTENT FRAMEWORK FOR THE EVOLUTION OF THE STAR-FORMING “MAIN SEQUENCE” FROM z ∼ 0–6 (2014, methodology): “Photo-z’s for GOODS-S are taken from Grazian et al. (2006), which uses PEGASE.2 models with D-SFHs assuming a Rana & Basu (1992) IMF (slightly steeper than a Salpeter IMF) and a primordial metallicity.”
COLOR–MAGNITUDE RELATIONS OF ACTIVE AND NON-ACTIVE GALAXIES IN THE CHANDRA DEEP FIELDS: HIGH-REDSHIFT CONSTRAINTS AND STELLAR-MASS SELECTION EFFECTS (2010, methodology): “Grazian et al. 2006).”
THE 2 Ms CHANDRA DEEP FIELD-NORTH SURVEY AND THE 250 Ks EXTENDED CHANDRA DEEP FIELD-SOUTH SURVEY: IMPROVED POINT-SOURCE CATALOGS (2016, methodology): “We find 16.9%, 13.3%, 57.3%, 9.0%, 9.3%, 79.5%, 72.3%, 59.4%, and 75.1% of the main-catalog sources have VLA, GOODS-S, GEMS, CANDELS, MUSIC, TENIS, WFI, MUSYC, and SIMPLE counterparts, respectively.”
The many manifestations of downsizing: hierarchical galaxy formation models confront observations (2009, methodology): “Journal compilation C© 2009 RAS, MNRAS 397, 1776–1790 Downloaded from https://academic.oup.com/mnras/article-abstract/397/4/1776/996768 by guest on 25 July 2018 catalogue, complete to K < 23.5 (Grazian et al. 2006), to compute the SFR density as a function of stellar mass.”
THE CHANDRA DEEP FIELD-SOUTH SURVEY: 4 Ms SOURCE CATALOGS (2008, methodology): “Column 22 gives the name of the ONIR catalog (i.e., VLA, GOODS-S, GEMS, MUSIC, WFI, MUSYC, or SIMPLE) from which the primary counterpart has been taken.”
Metallicity evolution, metallicity gradients, and gas fractions at z ~ 3.4 (2013, methodology): “The broad-band photometric data for the sources in the CDFS were collected from the GOODS–MUSIC Article number, page 3 of 32 A&A proofs: manuscript no. amazelsd3arxiv multiwavelength catalog (Grazian et al. 2006).”
Unveiling Obscured Accretion in the Chandra Deep Field-South (2007, methodology): “Dust emission was therefore not considered in the models, and accordingly the bands above 5.5µm rest frame are ignored in these fits (see Grazian et al. 2006 for further details).”
EAZY: A Fast, Public Photometric Redshift Code (2008, methodology): “For the input list of Nin models to the BR07 NMF algorithm, we use the library of PÉGASE models (Fioc & Rocca-Volmerange 1997) described by Grazian et al. (2006), which those authors use to obtain high-quality photometric redshifts over 0 < z < 2 in the GOODS-South field.”
CANDELS MULTI-WAVELENGTH CATALOGS: SOURCE DETECTION AND PHOTOMETRY IN THE GOODS-SOUTH FIELD (2013, methodology): “In order to measure the flux of each member of such pairs in the low-resolution image, a few methods have been used in literature, e.g., the template fitting (Grazian et al. 2006; Laidler et al. 2007), the “clean” process migrated from radio astronomy (Wang et al. 2010), etc.”
Faint high-redshift AGN in the Chandra deep field south: the evolution of the AGN luminosity function and black hole demography (2011, methodology): “We used the GOODS-MUSIC catalog (Grazian et al. 2006; Santini et al. 2009), which includes galaxies selected in the HST/ACS z band and Spitzer/IRAC 4.5 μm band.”
A new measurement of the evolving near-infrared galaxy luminosity function out to z≃ 4: a continuing challenge to theoretical models of galaxy formation (2008, result): “This accuracy is comparable to the best available from other surveys such as GOODS and COSMOS (Caputi et al. 2006; Grazian et al. 2006; Mobasher et al. 2007).”
FIREWORKS U38-to-24 μm Photometry of the GOODS Chandra Deep Field-South: Multiwavelength Catalog and Total Infrared Properties of Distant Ks-selected Galaxies (2008, methodology): “The clustering evolution of distant red galaxies was quantified based on this sample (Grazian et al. 2006b), as was the contribution of various color-selected samples of distant galaxies to the stellar mass density (Grazian et al. 2007).”
PHOTOMETRIC REDSHIFT AND CLASSIFICATION FOR THE XMM–COSMOS SOURCES (2008, background): “Photometric redshifts for normal (inactive) galaxies can reach an accuracy of σ∆z/(1+z) = 0.05 (Grazian et al. 2006; Ilbert et al. 2006) or better (Gabasch et al. 2004; Wolf et al. 2004) and most recently better than 0.02 (Ilbert et al. 2008).”
Mid- and far-infrared luminosity functions and galaxy evolution from multiwavelength Spitzer observations up to z ~ 2.5 (2009, methodology): “In the first place, weus d GOODS-MUSIC (GOODS Multiwavelength Southern Infrared Catalog, Grazian et al. 2006, hereafter MUSIC), a 14-band multicolor catalog extracted from surveys conducted over th GOODS-S region, and summarized in Giavalisco et al. (2004).”
Extragalactic optical-infrared background radiation, its time evolution and the cosmic photon-photon opacity (2008, methodology): “In the GOODS-South, about half of the sample has a spectroscopic redshift, and for the remaining fraction we adopted accurate photometric redshifts (for example from the MUSIC sample, Grazian et al. 2006) .”
The COSMOS2015 galaxy stellar mass function . Thirteen billion years of stellar mass assembly in ten snapshots (2017, background): “…of highz (z & 3) galaxies selected in stellar mass (Koekemoer et al. 2011; Grogin et al. 2011; Illingworth et al. 2013), which represent a breakthrough similar to the advent of spectroscopic surveys at z ∼ 1 more than a decade ago (Cimatti et al. 2002; Davis et al. 2003; Grazian et al. 2006).”
The Herschel* PEP/HerMES luminosity function - I. Probing the evolution of PACS selected Galaxies to z ≃ 4 (2013, methodology): “In particular, Berta et al. (2011) have compared the photometric and the available spectroscopic redshifts in GOODS-S, GOODS-N and COSMOS, finding a fraction of outliers, defined as objects having ∆z/(1+zspec)>0.2, of ∼2 per cent for sources with a PACS detection.”
The evolution of the dust and gas content in galaxies (2013, methodology): “Photometric redshifts in GOODS-S are estimated by fitting the multi-wavelength photometry to the PEGASE 2.0 templates (Fioc & Rocca-Volmerange 1997), as presented in Grazian et al. 2006 and updated as in Santini et al. 2009.”
The star formation history of K-selected galaxies (2008, result): “This accuracy is comparable to the best available from other surveys such as GOODS and COSMOS (Caputi et al. 2006a; Grazian et al. 2006; Mobasher et al. 2007).”