Galaxy clustering with photometric surveys using PDF redshift information

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

doi:10.1093/mnras/stw721

Title: Galaxy clustering with photometric surveys using PDF redshift information

Journal Article · Mon Mar 28 04:00:00 UTC 2016 · Monthly Notices of the Royal Astronomical Society

DOI: https://doi.org/10.1093/mnras/stw721 · OSTI ID:1254141

Asorey, J. ^[1]; Carrasco Kind, M. ^[2]; Sevilla-Noarbe, I. ^[3]; Brunner, R. J. ^[2]; Thaler, J. ^[1]

Univ. of Illinois, Urbana, IL (United States)
Univ. of Illinois, Urbana, IL (United States); National Center for Supercomputing Applications, Urbana, IL (United States)
Univ. of Illinois, Urbana, IL (United States); Centro de Investigaciones Energeticas, Medioambientales y Technologicas (CIEMAT), Madrid (Spain)

Here, 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 $$\Delta z=0.1$$, the use of the entire PDF reduces the typical measurement bias from 5%, when using single point estimates, to 3%.

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Research Organization:: Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)

Sponsoring Organization:: USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)

Grant/Contract Number:: AC02-07CH11359

OSTI ID:: 1254141

Report Number(s):: arXiv:1601.00357; FERMILAB-PUB--16-183-AE; 1412017

Journal Information:: Monthly Notices of the Royal Astronomical Society, Journal Name: Monthly Notices of the Royal Astronomical Society Journal Issue: 2 Vol. 459; ISSN 0035-8711

Publisher:: Royal Astronomical SocietyCopyright Statement

Country of Publication:: United States

Language:: English

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