2009
DOI: 10.1051/0004-6361:200811443
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The 0.4 $\mathsf{<}$ z $\mathsf{<}$ 1.3 star formation history of the Universe as viewed in the far-infrared

Abstract: Aims. We use the deepest existing mid-and far-infrared observations (reaching ∼3 mJy at 70 μm) obtained with Spitzer in the Great Observatories Origins Deep Survey (GOODS) and Far Infrared Deep Extragalactic Legacy survey (FIDEL) fields to derive the evolution of the rest-frame 15 μm, 35 μm, and total infrared luminosity functions of galaxies spanning z < 1.3. We thereby quantify the fractional contribution of infrared luminous galaxies to the comoving star formation rate density over this redshift range. In c… Show more

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Cited by 379 publications
(609 citation statements)
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References 56 publications
(83 reference statements)
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“…The PACS detection rate of Spitzer 24 μm sources (S 24 ≥ 20 μJy, Magnelli et al 2009) is roughly 15%. It is possible to derive a deeper CIB estimate, through stacking on the PEP maps at the positions of all 24 μm objects, including those not detected in the FIR (e.g.…”
Section: Resolved Cib Fractionmentioning
confidence: 98%
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“…The PACS detection rate of Spitzer 24 μm sources (S 24 ≥ 20 μJy, Magnelli et al 2009) is roughly 15%. It is possible to derive a deeper CIB estimate, through stacking on the PEP maps at the positions of all 24 μm objects, including those not detected in the FIR (e.g.…”
Section: Resolved Cib Fractionmentioning
confidence: 98%
“…Adopting the Grazian et al (2006) approach, the PEP Team built a reliable multi-wavelength, PSF-matched database, including ACS bviz (Giavalisco et al 2004), Flamingos JHK 3 and Spitzer IRAC data. Moreover, MIPS 24 μm (Magnelli et al 2009) and Barger et al (2008) deep U, Ks, and spectroscopic redshifts have been added. When no spectroscopic redshifts were available, photometric redshifts have been derived using the EAZY code (Brammer et al 2008).…”
Section: Appendix A: Pacs Datamentioning
confidence: 99%
“…FWHM ∼ 5.9 and 18 at 24 μm and 70 μm respectively). Flux densities at these wavelengths are hence estimated using a PSF fitting technique based on the knowledge of the expected positions of the sources (Magnelli et al 2009). For the 24 μm data, we use the position of the IRAC 3.6 μm sources as priors.…”
Section: Infrared Imagingmentioning
confidence: 99%
“…Using Monte carlo simulations we are able to estimate the quality of our 24 and 70 μm catalogs (see Magnelli et al 2009). We find that, in both fields, the 24 and 70 μm observations reach an 80% completeness limit of 30 μJy and 2.5 mJy respectively.…”
Section: Infrared Imagingmentioning
confidence: 99%
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