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Published August 21, 2018 | Published + Accepted Version
Journal Article Open

Quantifying the abundance of faint, low-redshift satellite galaxies in the COSMOS survey

Abstract

Faint dwarf satellite galaxies are important as tracers of small-scale structure, but remain poorly characterized outside the Local Group, due to the difficulty of identifying them consistently at larger distances. We review a recently proposed method for estimating the average satellite population around a given sample of nearby bright galaxies, using a combination of size and magnitude cuts (to select low-redshift dwarf galaxies preferentially) and clustering measurements (to estimate the fraction of true satellites in the cut sample). We test this method using the high-precision photometric redshift catalogue of the COSMOS survey, exploring the effect of specific cuts on the clustering signal. The most effective of the size-magnitude cuts considered recover the clustering signal around low-redshift primaries (z < 0.15) with about two-thirds of the signal and 80 per cent of the signal-to-noise ratio obtainable using the full COSMOS photometric redshifts. These cuts are also fairly efficient, with more than one-third of the selected objects being clustered satellites. We conclude that structural selection represents a useful tool in characterizing dwarf populations to fainter magnitudes and/or over larger areas than are feasible with spectroscopic surveys. In reviewing the low-redshift content of the COSMOS field, we also note the existence of several dozen objects that appear resolved or partially resolved in the HST imaging, and are confirmed to be local (at distances of ∼250 Mpc or less) by their photometric or spectroscopic redshifts. This underlines the potential for future space-based surveys to reveal local populations of intrinsically faint galaxies through imaging alone.

Additional Information

© 2018 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/about_us/legal/notices). Accepted 2018 May 11. Received 2018 May 10; in original form 2017 December 29. Published: 01 June 2018. The authors acknowledge useful discussions with Simon Driver (on methods to identify nearby galaxies) and Alexandar Mechev (on the likely distance to ARK227). We also thank the referee, Bob Abraham, for a number of helpful comments and for pointing out the possible connection to UDGs. Finally, we thank our friends and collaborators from the COSMOS survey for many years of support and advice, and for first pointing out many of the objects in the serendipitous catalogue. This paper made use of the NASA Extragalactic Database (NED – http://ned.ipac.caltech.edu), the COSMOS cutout service at IRSA (http://irsa.ipac.caltech.edu/data/COSMOS), Knud Jahnke's COSMOS Skywalker visual search engine (https://www.mpia.de/COSMOS/skywalker), and Stephen Gwyn's interface to the multi-wavelength coverage in the COSMOS field (http://www.cadc-ccda.hia-iha.nrc-cnrc.gc.ca/en/megapipe/cfhtls/scrollD2.html). We thank the creators of these resources for facilitating this work. JET acknowledges support from the Natural Science and Engineering Research Council of Canada, through a Discovery Grant. JR was supported by JPL, which is run under a contract for NASA by Caltech. RM is supported by a Royal Society University Research Fellowship. The COSMOS 2015 catalogue is based on data products from observations made with ESO Telescopes at the La Silla Paranal Observatory under ESO programme ID 179.A-2005 and on data products produced by TERAPIX and the Cambridge Astronomy Survey Unit on behalf of the UltraVISTA consortium.

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Accepted Version - 1805.07407.pdf

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Additional details

Created:
August 19, 2023
Modified:
October 18, 2023