J/A+A/562/A15 Star-forming galaxies in AKARI Deep Field-South (Malek+, 2014)
Properties of star forming galaxies in AKARI Deep Field-South.
Malek K., Pollo A., Takeuchi T.T., Buat V., Burgarella D., Malkan M.,
Giovannoli E., Kurek A., Matsuura S.
<Astron. Astrophys. 562, A15 (2014)>
=2014A&A...562A..15M 2014A&A...562A..15M
ADC_Keywords: Surveys ; Galaxies, IR ; Energy distributions
Keywords: surveys - galaxies: evolution - galaxies: fundamental parameters -
infrared: galaxies
Abstract:
The main aim of this work is the characterization of physical
properties of galaxies detected in the far infrared (FIR) in the AKARI
Deep Field-South (ADF-S) survey.
Starting from a catalog of the brightest 1000 ADF-S sources in the
WIDE-S (90um) AKARI band, we constructed a subsample of galaxies
with spectral coverage from the ultraviolet to the far-infrared. Then,
we analyzed the multiwavelength properties of this 90um-selected
sample of galaxies. For galaxies without known spectroscopic redshifts
we computed photometric redshifts using codes Le PHARE and CIGALE,
tested these photometric redshifts using spectroscopic redshifts, and
compared the performances of both codes. To test the reliability of
parameters obtained by fitting Spectral Energy Distributions, a mock
catalogue has been generated.
We built a large multiwavelength catalog of more than 500 ADF-S
galaxies. We successfully fitted Spectral Energy Distributions of 186
galaxies with χ2<4, and analyzed the output parameters of the
fits.
We conclude that our sample consists mostly of nearby actively
star-forming galaxies, and all our galaxies have a relatively high
metallicity. We estimated photometric redshifts for 113 galaxies from
the whole ADF-S sample. Comparing the performance of Le PHARE and
CIGALE, we found that CIGALE gives more reliable redshift estimates
for our galaxies, which implies that including the IR photometry
allows for substantial improvement of photometric redshift estimation.
Description:
Identifications and photometric flux densities in all available
wavelengths for 131 ADF-S sources brighter than 30.1mJy with
photometric redshift estimated using CIGALE software (Code
Investigating GALaxy Emission, http://cigale.oamp.fr, Noll et al.,
2009A&A...507.1793N 2009A&A...507.1793N).
All 131 sources for which a counterpart in the 40" radius on the sky
has been found in the public databases are listed. The serial ADF-S
number, ADF-S coordinates and fluxes in four far-infrared (FIR) AKARI
bands (65, 90, 140 and 160um), as well as a name, coordinates and
available photometric data for the nearest identified counterpart are
given for each source.
Photometric redshifts were estimated using CIGALE code. For all
sources the maximal value of reduced chi2 fitting between SED model
and photometric data are lower than four.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
table1.dat 378 113 Photometric data
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See also:
VII/115 : Surface Photometry of ESO-Uppsala Galaxies (Lauberts+ 1989)
II/156 : IRAS Faint Source Catalog |b|>10, Version 2.0 (Moshir+ 1989)
VII/233 : The 2MASS Extended sources (IPAC/UMass, 2003-2006)
II/312 : GALEX-DR5 (GR5) sources from AIS and MIS (Bianchi+ 2011)
II/311 : WISE All-Sky Data Release (Cutri+ 2012)
J/MNRAS/246/433 : CCD photometry + APM parameters for galaxies (Maddox+ 1990)
J/A+A/514/A11 : SEDs in ADFS (AKARI Deep Field South) (Malek+, 2010)
J/MNRAS/411/102 : AzTEC/ASTE 1.1mm observations in the ADF-S (Hatsukade+ 2011)
J/MNRAS/411/373 : Catalog of AKARI Deep Field South (Clements+, 2011)
J/MNRAS/427/1830 : 20cm survey of the AKARI SEP (ATCA-ADFS) (White+, 2012)
Byte-by-byte Description of file: table1.dat
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Bytes Format Units Label Explanations
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1- 3 I3 --- ADFS [12/618]+ ADF-S (AKARI Deep Field-South)
identification number, as in
Malek et al. 2010, J/A+A/514/A11
6- 13 F8.5 deg RAdeg ADF-S source right ascension (J2000.0)
15- 23 F9.5 deg DEdeg ADF-S source declination (J2000.0)
25- 28 F4.2 --- z Photometric redshift estimated using CIGALE
software (1)
30- 35 F6.4 mJy FUV ?=0 Flux density at 0.1um GALEX band
(Dale et al., 2007ApJ...655..863D 2007ApJ...655..863D)
37- 43 F7.5 mJy e_FUV ?=0 rms uncertainty on 0.1um
45- 51 F7.5 mJy NUV ?=0 Flux density at 0.2um GALEX band
(Dale et al., 2007ApJ...655..863D 2007ApJ...655..863D)
53- 58 F6.4 mJy e_NUV ?=0 rms uncertainty on 0.2um
60- 66 F7.5 mJy FUV1 ?=0 Flux density at 0.1um GALEX band
(measured by co-authors)
68- 74 F7.5 mJy e_FUV1 ?=0 rms uncertainty on 0.1um
76- 82 F7.5 mJy NUV1 ?=0 Flux density at 0.2um GALEX band
(measured by co-authors)
84- 90 F7.5 mJy e_NUV1 ?=0 rms uncertainty on 0.2um
92- 97 F6.4 mJy Bj ?=0 Flux density at 0.4um APM band
(Maddox et al., 1990MNRAS.243..692M 1990MNRAS.243..692M)
99-105 F7.5 mJy e_Bj ?=0 rms uncertainty on 0.4um
107-111 F5.3 mJy B ?=0 Flux density at 0.4um (2)
113-116 F4.2 mJy e_B ?=0 rms uncertainty on 0.4um
119-121 F3.1 mJy R ?=0 Flux density at 0.6um (3)
125 I1 mJy e_R ?=0 rms uncertainty on 0.6um
131-135 F5.2 mJy J ?=0 Flux density at 1.2um (4)
137-142 F6.4 mJy e_J ?=0 rms uncertainty on 1.2um
144-149 F6.3 mJy Jtot ?=0 Flux density at 1.2um (5)
151-157 F7.5 mJy e_Jtot ?=0 rms uncertainty on 1.2um
159-163 F5.2 mJy H ?=0 Flux density at 1.7um (4)
164-170 F7.4 mJy e_H ?=-9 rms uncertainty on 1.7um
172-177 F6.3 mJy Htot ?=0 Flux density at 1.7um (5)
178-184 F7.4 mJy e_Htot ?=-9 rms uncertainty on 1.7um
186-191 F6.3 mJy K ?=0 Flux density at 2.2um (4)
193-198 F6.4 mJy e_K ?=0 rms uncertainty on 2.2um
200-204 F5.2 mJy Kstot ?=0 Flux density at 2.2um (5)
206-212 F7.5 mJy e_Kstot ?=0 rms uncertainty on 2.2um
214-218 F5.3 mJy WISE1 ?=0 Flux density at 3.4um
(WISE Wright et al., 2010AJ....140.1868W 2010AJ....140.1868W)
220-226 F7.5 mJy e_WISE1 ?=0 rms uncertainty on 3.4um
228-232 F5.3 mJy WISE2 ?=0 Flux density at 4.6um
(WISE Wright et al., 2010AJ....140.1868W 2010AJ....140.1868W)
234-240 F7.5 mJy e_WISE2 ?=0 rms uncertainty on 4.6um
242-246 F5.1 mJy IRAS12 ?=0 Upper limit at 12um (6)
248-252 F5.2 mJy MIPS1 ?=0 Flux density at 24um
(Spitzer/MIPS data measured by coauthors)
255-260 F6.4 mJy e_MIPS1 ?=0 rms uncertainty on 24um
262-265 F4.1 mJy IRAS25 ?=0 Flux density at 25um (6)
268-272 F5.1 mJy e_IRAS25 ?=0 rms uncertainty on 24um (7)
274-276 I3 mJy IRAS60 ?=0 Flux density at 60um (6)
280-284 F5.1 mJy e_IRAS60 ?=0 rms uncertainty on 60um (7)
286-291 F6.2 mJy N60 ?=0 Flux density at 60um (AKARI, Malek et al.,
2010, Cat. J/A+A/514/A11)
293-297 F5.2 mJy e_N60 ?=0 rms uncertainty on 60um (7)
299-301 I3 mJy MIPS2 ?=0 Flux density at 70um
(Spitzer/MIPS data measured by coauthors)
305 I1 mJy e_MIPS2 ?=0 rms uncertainty on 70um
311-316 F6.2 mJy WISE-S Flux density at 90um (AKARI, Malek et al., 2010,
Cat. J/A+A/514/A11)
318-322 F5.2 mJy e_WISE-S ?=0 rms uncertainty on 90um
324-326 I3 mJy IRAS100 ?=0 Flux density at 100um (6)
330-333 I4 mJy e_IRAS100 ?=0 rms uncertainty on 100um (7)
336-341 F6.2 mJy N160 ?=0 Flux density at 160um (AKARI, Malek et al.,
2010, Cat. J/A+A/514/A11)
343-347 F5.2 mJy e_N160 ?=0 rms uncertainty on 160um
349-378 A30 --- Name Name of the nearest counterpart (SIMBAD or NED)
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Note (1): Code Investigating GALaxy Emission,
http://cigale.oamp.fr, Noll et al., 2009A&A...507.1793N 2009A&A...507.1793N.
Note (2): data taken from SIMBAD database, mainly Derssler 1980ApJ...236..351D 1980ApJ...236..351D,
and additional measurements taken from Jones et al, 2004MNRAS.355..747J 2004MNRAS.355..747J and
Lauberts and Valentijn, 1989, Cat. VII/115.
Note (3): data taken from SIMBAD database, Jones et al, 2004MNRAS.355..747J 2004MNRAS.355..747J and
Lauberts and Valentijn 1989, Cat. VII/115.
Note (4): data taken from SIMBAD database, 2MASS measurements, Skrutskie et al.,
2006, Cat. VII/233.
Note (5): data taken from NED, 2MASS. 2003, Two Micron All Sky Survey Team 2MASS
Extended objects. Final release, Cat. VII/233.
Note (6): IRAS Moshir et al., 1990, The Faint Source Catalog, Version 2.0,
data taken from NED database, See Cat. II/156.
Note (7): Note on rms uncertainties:
When no data given in given flux density, rms uncertainty become upper limit.
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Acknowledgements:
Katarzyna Malek, malek(at)cft.edu.pl
(End) Katarzyna Malek [Nagoya Univ.], Patricia Vannier [CDS] 12-Nov-2013