Cluver, Michelle EKarademir, Geray SBlake, ChrisTaylor, Edward NJarrett, Thomas HTriani, Dian P2023-06-072023-06-072023Karademir, G.S., Taylor, E.N., Blake, C., Cluver, M.E., Jarrett, T.H. and Triani, D.P., 2023. Measurement of the evolving galaxy luminosity and mass function using clustering-based redshift inference. Monthly Notices of the Royal Astronomical Society, 522(3), pp.3693-3709.https://doi.org/10.1093/mnras/stad1250http://hdl.handle.net/10566/9066We 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.enGalaxies: distanceMethods: data analysisMethods: statisticalRedshiftsGalaxy luminosity function (GLF)Article