J/MNRAS/457/2703 Local SDSS galaxies in Herschel Stripe 82 (Rosario+, 2016)
Local SDSS galaxies in the Herschel Stripe 82 survey:
a critical assessment of optically derived star formation rates.
Rosario D.J., Mendel J.T., Ellison S.L., Lutz D., Trump J.R.
<Mon. Not. R. Astron. Soc., 457, 2703-2721 (2016)>
=2016MNRAS.457.2703R 2016MNRAS.457.2703R (SIMBAD/NED BibCode)
ADC_Keywords: Surveys ; Galaxies, photometry ; Ultraviolet ;
Photometry, infrared
Keywords: surveys - galaxies: active - galaxies: fundamental parameters -
infrared: galaxies - galaxies: star formation
Abstract:
We study a set of 3319 galaxies in the redshift interval 0.04<z<0.15
Herschel/SPIRE 250µm band. Total infrared (TIR) luminosities
derived from HerS and Wide-field Infrared Survey Explorer (WISE)
photometry allow us to compare infrared and optical estimates of SFR
with unprecedented statistics for diverse classes of galaxies. We find
excellent agreement between TIR-derived and emission line-based SFRs
for H ii galaxies. Other classes, such as active galaxies and evolved
galaxies, exhibit systematic discrepancies between optical and TIR
SFRs. We demonstrate that these offsets are attributable primarily to
survey biases and the large intrinsic uncertainties of the Dn4000-
and colour-based optical calibrations used to estimate the SDSS SFRs
of these galaxies. Using a classification scheme which expands upon
popular emission-line methods, we demonstrate that emission-line
galaxies with uncertain classifications include a population of
massive, dusty, metal-rich star-forming systems that are frequently
neglected in existing studies. We also study the capabilities of
infrared selection of star-forming galaxies. FIR selection reveals a
substantial population of galaxies dominated by cold dust which are
missed by the long-wavelength WISE bands. Our results demonstrate that
Herschel large-area surveys offer the means to construct large,
relatively complete samples of local star-forming galaxies with
accurate estimates of SFR that can be used to study the interplay
between nuclear activity and star formation.
Description:
We draw on the extensive set of measurements (redshifts, stellar
masses, line fluxes, etc.) available from the SDSS/MPA-JHU data base
to define and classify our sample of galaxies for study, and to
understand their range of observed properties. Where possible, we
employ Herschel and Wide-field Infrared Survey Explorer (WISE)
photometry to constrain the TIR using spectral energy distribution
(SED) fits, and GALEX FUV photometry to correct for stellar emission
not absorbed by dust. These data are brought to bear on the
cross-assessment of infrared (IR), UV and optical SFRs.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
table14.dat 162 3319 *Table of key properties, SFRs, far-UV, mid-IR,
far-IR photometry, and estimated infrared
luminosities for galaxies from the SDSS Main
Galaxy sample in the Herschel Stripe 82 Survey
at 0.04<z<0.15.
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Note on table14.dat: This is a combination of Tables 1 and 4 from the main
Journal paper.
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See also:
J/ApJS/210/22 : Herschel Stripe 82 survey (HerS) first catalog (Viero+, 2014)
Byte-by-byte Description of file: table14.dat
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Bytes Format Units Label Explanations
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1- 18 I18 --- objID SDSS DR7 OBJID
20- 26 F7.5 --- z SDSS DR7 Redshift
28- 36 A9 --- Class Galaxy classification (1)
38- 42 F5.2 [Msun] logM* MPA/JHU median stellar mass
44- 48 F5.2 [Msun/yr] b_logSFR ? 16th percentile value of MPA/JHU
star-formation rate
49 A1 --- --- [<]
50- 54 F5.2 [Msun/yr] logSFR ?=- Mean value of MPA/JHU star-formation
rate
55 A1 --- --- [<]
56- 60 F5.2 [Msun/yr] B_logSFR ? 84th percentile value of MPA/JHU
star-formation rate
62- 67 F6.2 [Jy] logFFUV ?=-99 GALEX/Medium Imaging Survey FUV flux
69- 74 F6.2 [Jy] log(e_FFUV) ?=-99 1 sigma error on FUV flux
76- 81 F6.2 [Jy] logFW4 ?=-99 ALLWISE W4 flux
83- 88 F6.2 [Jy] log(e_FW4) ?=-99 1 sigma error on W4 flux
90- 95 F6.2 [Jy] logF250 ?=-99 HerS 250 micron flux
97-102 F6.2 [Jy] log(e_F250) ?=-99 1 sigma error on 250 micron flux
104-109 F6.2 [Jy] logF350 ?=-99 HerS 350 micron flux
111-116 F6.2 [Jy] log(e_F350) ?=-99 1 sigma error on 350 micron flux
118-123 F6.2 [Jy] logF500 ?=-99 HerS 500 micron flux
125-130 F6.2 [Jy] log(e_F500) ?=-99 1 sigma error on 500 micron flux
132-136 F5.2 [10-7W] b_logLIR ? 1 sigma low value of 8-1000 micron
integrated luminosity
137 A1 --- --- [<]
138-142 F5.2 [10-7W] logLIR ?=- Best-fit value of 8-1000 micron
integrated luminosity
143 A1 --- --- [<]
144-148 F5.2 [10-7W] B_logLIR ? 1 sigma high value of 8-1000 micron
integrated luminosity
150-155 F6.2 --- alpha ?=-99 Best-fit value of Dale & Helou
(2002ApJ...576..159D 2002ApJ...576..159D) alpha parameter
157-162 F6.2 [Msun/yr] logSFRTIR ?=-99 Pure TIR-derived star-formation rate
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Note (1): Class as follows:
Dim = Galaxies with Hα measurement with an SNR<3 (1131 objects)
H II = HII galaxies (1228 objects)
Composite = "Composite" systems (242 objects)
AGN = AGN (205 objects)
Uncertain = Ambiguous classification of the galaxy (513 objects)
See section 2.6 for further explanations.
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History:
From electronic version of the journal
(End) Patricia Vannier [CDS] 18-Nov-2016