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Abstract
We have measured the angular autocorrelation function of near-infrared galaxies in SERVS + DeepDrill, the Spitzer Extragalactic Representative Volume Survey and its follow-up survey of the Deep Drilling Fields, in three large fields totalling over 20 deg(2) on the sky, observed in two bands centred on 3.6 and 4.5 mu m. We performed this analysis on the full sample as well as on sources selected by [3.6]-[4.5] colour in order to probe clustering for different redshift regimes. We estimated the spatial correlation strength as well, using the redshift distribution from S-COSMOS with the same source selection. The strongest clustering was found for our bluest subsample, with < z & rang; similar to 0.7, which has the narrowest redshift distribution of all our subsamples. We compare these estimates to previous results from the literature, but also to estimates derived from mock samples, selected in the same way as the observational data, using deep light-cones generated from the SHARK semi-analytical model of galaxy formation. For all simulated (sub)samples, we find a slightly steeper slope than for the corresponding observed ones, but the spatial clustering length is comparable in most cases.
Original language | English |
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Pages (from-to) | 251-269 |
Number of pages | 19 |
Journal | Monthly Notices of the Royal Astronomical Society |
Volume | 523 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jul 2023 |
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Dive into the research topics of 'The Spitzer Extragalactic Representative Volume Survey and DeepDrill extension: clustering of near-infrared galaxies'. Together they form a unique fingerprint.Projects
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ARC Centre of Excellence for All Sky Astrophysics in 3 Dimensions
Kewley, L. (Investigator 01), Wyithe, S. (Investigator 02), Sadler, E. (Investigator 03), Staveley-Smith, L. (Investigator 04), Glazebrook, K. (Investigator 05), Jackson, C. (Investigator 06), Bland-Hawthorn, J. (Investigator 07), Asplund, M. (Investigator 08), Power, C. (Investigator 09) & Driver, S. (Investigator 10)
ARC Australian Research Council
1/01/17 → 31/12/24
Project: Research