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

Geray S. Karademir; Edward N. Taylor; Chris Blake; Michelle E. Cluver; Thomas H. Jarrett; Dian P. Triani

doi:10.1093/mnras/stad1250

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

Geray S. Karademir, Edward N. Taylor, Chris Blake, Michelle E. Cluver, Thomas H. Jarrett, Dian P. Triani

Western Sydney University

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	3693-3709
Number of pages	17
Journal	Monthly Notices of the Royal Astronomical Society
Volume	522
Issue number	3
DOIs	https://doi.org/10.1093/mnras/stad1250
Publication status	Published - 1 Jul 2023

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© 2023 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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10.1093/mnras/stad1250

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@article{16d40e08a4944fdd8d7b96858ddce65c,

title = "Measurement of the evolving galaxy luminosity and mass function using clustering-based redshift inference",

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.",

author = "Karademir, {Geray S.} and Taylor, {Edward N.} and Chris Blake and Cluver, {Michelle E.} and Jarrett, {Thomas H.} and Triani, {Dian P.}",

year = "2023",

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doi = "10.1093/mnras/stad1250",

language = "English",

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TY - JOUR

T1 - Measurement of the evolving galaxy luminosity and mass function using clustering-based redshift inference

AU - Karademir, Geray S.

AU - Taylor, Edward N.

AU - Blake, Chris

AU - Cluver, Michelle E.

AU - Jarrett, Thomas H.

AU - Triani, Dian P.

PY - 2023/7/1

Y1 - 2023/7/1

N2 - 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.

AB - 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.

UR - https://hdl.handle.net/1959.7/uws:73385

U2 - 10.1093/mnras/stad1250

DO - 10.1093/mnras/stad1250

M3 - Article

SN - 0035-8711

VL - 522

SP - 3693

EP - 3709

JO - Monthly Notices of the Royal Astronomical Society

JF - Monthly Notices of the Royal Astronomical Society

IS - 3

ER -

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

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