Bibcode
Wuyts, Stijn; Förster Schreiber, Natascha M.; Lutz, Dieter; Nordon, Raanan; Berta, Stefano; Altieri, Bruno; Andreani, Paola; Aussel, Hervé; Bongiovanni, A.; Cepa, J.; Cimatti, Andrea; Daddi, Emanuele; Elbaz, David; Genzel, Reinhard; Koekemoer, Anton M.; Magnelli, Benjamin; Maiolino, Roberto; McGrath, Elizabeth J.; Pérez-García, A. M.; Poglitsch, Albrecht; Popesso, Paola; Pozzi, Francesca; Sanchez-Portal, Miguel; Sturm, Eckhard; Tacconi, Linda; Valtchanov, Ivan
Bibliographical reference
The Astrophysical Journal, Volume 738, Issue 1, article id. 106 (2011).
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9
2011
Journal
Citations
372
Refereed citations
360
Description
We compare multi-wavelength star formation rate (SFR) indicators out to
z ~ 3 in the GOODS-South field. Our analysis uniquely combines U to 8
μm photometry from FIREWORKS, MIPS 24 μm and PACS 70, 100, and 160
μm photometry from the PEP, and Hα spectroscopy from the SINS
survey. We describe a set of conversions that lead to a continuity
across SFR indicators. A luminosity-independent conversion from 24 μm
to total infrared luminosity yields estimates of L IR that
are in the median consistent with the L IR derived from PACS
photometry, albeit with significant scatter. Dust correction methods
perform well at low-to-intermediate levels of star formation. They fail
to recover the total amount of star formation in systems with large
SFRIR/SFRUV ratios, typically occuring at the
highest SFRs (SFRUV + IR >~ 100 M sun
yr-1) and redshifts (z >~ 2.5) probed. Finally, we confirm
that Hα-based SFRs at 1.5 < z < 2.6 are consistent with
SFRSED and SFRUV + IR provided extra attenuation
toward H II regions is taken into account (A V, neb = A
V, continuum/0.44). With the cross-calibrated SFR indicators
in hand, we perform a consistency check on the star formation histories
inferred from spectral energy distribution (SED) modeling. We compare
the observed SFR-M relations and mass functions at a range of redshifts
to equivalents that are computed by evolving lower redshift galaxies
backward in time. We find evidence for underestimated stellar ages when
no stringent constraints on formation epoch are applied in SED modeling.
We demonstrate how resolved SED modeling, or alternatively deep UV data,
may help to overcome this bias. The age bias is most severe for galaxies
with young stellar populations and reduces toward older systems.
Finally, our analysis suggests that SFHs typically vary on timescales
that are long (at least several 100 Myr) compared to the galaxies'
dynamical time.
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