Measurement of the evolving galaxy luminosity and mass function using clustering-based redshift inference

Author:

Karademir Geray S1ORCID,Taylor Edward N1,Blake Chris1,Cluver Michelle E12ORCID,Jarrett Thomas H3ORCID,Triani Dian P45ORCID

Affiliation:

1. Centre for Astrophysics & Supercomputing, Swinburne University of Technology , PO Box 218, Hawthorn, VIC 3122, Australia

2. Department of Physics and Astronomy, University of the Western Cape , Robert Sobukwe Road, Bellville 7535, South Africa

3. Department of Astronomy, University of Cape Town , Rondebosch 7700, South Africa

4. Research School of Astronomy and Astrophysics, Australian National University , Weston Creek, ACT 2611, Australia

5. ARC Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D) , Australia

Abstract

ABSTRACT We develop a framework for using clustering-based redshift inference (cluster-$z$ ) to measure the evolving galaxy luminosity function (GLF) and galaxy stellar mass function (GSMF) using Wide-field Infrared Survey Explorer W1 (3.4 μm) mid-infrared photometry and positions. We use multiple reference sets from the Galaxy And Mass Assembly survey, Sloan Digital Sky Survey and Baryon Oscillation Spectroscopic Survey. Combining the resulting cluster-$z$ s allows us to enlarge the study area, and by accounting for the specific properties of each reference set, making best use of each reference set to produce the best overall result. Thus we are able to measure the GLF and GSMF over ∼7500 deg2 of the Northern Galactic Cap up to $z$ < 0.6. Our method can easily be adapted for new studies with fainter magnitudes, which pose difficulties for the derivation of photo-$z$ s. With better statistics in future surveys this technique is a strong candidate for studies with new emerging data from, e.g. the Vera C Rubin Observatory, the Euclid mission or the Nancy Grace Roman Space Telescope.

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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