Inferring the Redshift Distribution of the Cosmic Infrared Background
  Cross-correlating the Planck High Frequency Instrument (HFI) maps against
quasars from the Sloan Digital Sky Survey (SDSS) DR7, we estimate the intensity
distribution of the Cosmic Infrared Background (CIB) over the redshift range 0
< z < 5.We detect redshift-dependent spatial cross-correlations between the two
datasets using the 857, 545 and 353 GHz channels and we obtain upper limits at
217 GHz consistent with expectations. At all frequencies with detectable signal
we infer a redshift distribution peaking around z ~ 1.2 and find the recovered
spectrum to be consistent with emission arising from star forming galaxies. By
assuming simple modified blackbody and Kennicutt relations, we estimate dust
and star formation rate density as a function of redshift, finding results
consistent with earlier multiwavelength measurements over a large portion of
cosmic history. However, we note that, lacking mid-infrared coverage, we are
not able to make an accurate determination of the mean temperature for the dust
responsible for the CIB. Our results demonstrate that clustering-based redshift
inference is a valuable tool for measuring the entire evolution history of the
cosmic star formation rate from a single and homogeneous dataset.
