Galaxy clustering with photometric surveys using PDF redshift information

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

Resumen: 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 colours, that are obtained through multiband 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.

Idioma: Inglés

DOI: 10.1093/mnras/stw721

Año: 2016

Publicado en: Monthly notices of the Royal Astronomical Society 459, 2 (2016), 1293-1309
ISSN: 0035-8711

Factor impacto JCR: 4.961 (2016)

Categ. JCR: ASTRONOMY & ASTROPHYSICS rank: 11 / 63 = 0.175 (2016) - Q1 - T1

Factor impacto SCIMAGO: 2.387 - Space and Planetary Science (Q1) - Astronomy and Astrophysics (Q1)

Tipo y forma: Artículo (Versión definitiva)