Galaxy and Mass Assembly (GAMA): Z 0 galaxy luminosity function down to L 106L via clustering based redshift inference

Geray S. Karademir, Edward N. Taylor, Chris Blake, Ivan K. Baldry, Sabine Bellstedt, MacIej Bilicki, Michael J.I. Brown, Michelle E. Cluver, Simon P. Driver, Hendrik Hildebrandt, Benne W. Holwerda, Andrew M. Hopkins, Jonathan Loveday, Steven Phillipps, Angus H. Wright

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4 Citations (Scopus)


In this study, we present a new experimental design using clustering-based redshift inference to measure the evolving galaxy luminosity function (GLF) spanning 5.5 decades from L ∼1011.5 to 106 L. We use data from the Galaxy And Mass Assembly (GAMA) survey and the Kilo-Degree Survey (KiDS). We derive redshift distributions in bins of apparent magnitude to the limits of the GAMA-KiDS photometric catalogue: mr 23; more than a decade in luminosity beyond the limits of the GAMA spectroscopic redshift sample via clustering-based redshift inference. This technique uses spatial cross-correlation statistics for a reference set with known redshifts (in our case, the main GAMA sample) to derive the redshift distribution for the target ensemble. For the calibration of the redshift distribution, we use a simple parametrization with an adaptive normalization factor over the interval 0.005 < z < 0.48 to derive the clustering redshift results. We find that the GLF has a relatively constant power-law slope α ≈-1.2 for-17 Mr-13, and then appears to steepen sharply for-13 Mr-10. This upturn appears to be where globular clusters (GCs) take over to dominate the source counts as a function of luminosity. Thus, we have mapped the GLF across the full range of the z ∼0 field galaxy population from the most luminous galaxies down to the GC scale.

Original languageEnglish
Pages (from-to)5467-5484
Number of pages18
JournalMonthly Notices of the Royal Astronomical Society
Issue number4
Publication statusPublished - Feb 2022


  • galaxies: distances and redshifts
  • methods: data analysis
  • methods: statistical

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