Bright galaxy sample in the Kilo-Degree Survey Data Release 4: selection, photometric redshifts, and physical properties
M. Bilicki, A. Dvornik, H. Hoekstra, A.H. Wright, N.E. Chisari, M., Vakili, M. Asgari, B. Giblin, C. Heymans, H. Hildebrandt, B.W. Holwerda, A., Hopkins, H. Johnston, A. Kannawadi, K. Kuijken, S.J. Nakoneczny, H.Y. Shan,, A. Sonnenfeld, E. Valentijn

TL;DR
This paper introduces a bright galaxy sample from KiDS DR4 with highly accurate photometric redshifts, enabling detailed studies of galaxy properties and dark matter halo relations through weak lensing analysis.
Contribution
It provides a large, high-quality galaxy dataset with precise photo-zs, and demonstrates its use in constraining stellar-mass--halo-mass relations via weak lensing.
Findings
Red galaxies occupy more massive halos than blue galaxies at high stellar masses.
The photometric redshifts have mean errors of about 5e-4, with low scatter across the sample.
The dataset covers approximately 1000 deg² with about 1 million galaxies.
Abstract
We present a bright galaxy sample with accurate and precise photometric redshifts (photo-zs), selected using photometry from the Kilo-Degree Survey (KiDS) Data Release 4 (DR4). The highly pure and complete dataset is flux-limited at mag, covers deg, and contains about 1 million galaxies after artifact masking. We exploit the overlap with Galaxy And Mass Assembly (GAMA) spectroscopy as calibration to determine photo-zs with the supervised machine learning neural network algorithm implemented in the ANNz2 software. The photo-zs have mean error of and low scatter (scaled mean absolute deviation of ), both practically independent of the -band magnitude and photo-z at . Combined with the 9-band photometry, these allow us to estimate robust absolute…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · CCD and CMOS Imaging Sensors
