Galaxy clustering with photometric surveys using PDF redshift information

J. Asorey, M. Carrasco Kind, I. Sevilla-Noarbe, R. J. Brunner, J. Thaler

Research output: Contribution to journalArticlepeer-review


Photometric surveys produce large-area maps of the galaxy distribution, but with less accurate redshift information than is obtained from spectroscopic methods. Modern photometric redshift (photo-z) algorithms use galaxy magnitudes, or colors, that are obtained through multi-band imaging to produce a probability density function (PDF) for each galaxy in the map. We used simulated data to study the effect of using different photo-z estimators to assign galaxies to redshift bins in order to compare their effects on angular clustering and galaxy bias measurements. We found that if we use the entire PDF, rather than a single-point (mean or mode) estimate, the deviations are less biased, especially when using narrow redshift bins. When the redshift bin widths are Δz=0.1, the use of the entire PDF reduces the typical measurement bias from 5 per cent, when using single point estimates, to 3 per cent.

Original languageEnglish (US)
Pages (from-to)1293-1309
Number of pages17
JournalMonthly Notices of the Royal Astronomical Society
Issue number2
StatePublished - Jun 21 2016


  • Galaxies: distances and redshifts
  • Large-scale structure of Universe
  • Methods: statistical

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science


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