Dependence of galaxy clustering on UV luminosity and stellar mass at z ∼ 4–7. Issue 4 (1st October 2018)

• Record Type: Journal Article
• Authors: Qiu, Yisheng; Wyithe, J Stuart B; Oesch, Pascal A; Mutch, Simon J; Qin, Yuxiang; Labbé, Ivo; Bouwens, Rychard J; Stefanon, Mauro; Illingworth, Garth D
• Is Part Of: Monthly notices of the Royal Astronomical Society. Volume 481:Issue 4(2018)
• Page Start: 4885
• Page End: 4894
• Publication Date: 2018-10-01
• Subjects: galaxies: evolution -- galaxies: haloes -- galaxies: high-redshift; Astronomy -- Periodicals; Periodicals; 520.5
• DOI: 10.1093/mnras/sty2633
• Languages: English
• ISSNs: 0035-8711

Abstract

Abstract: We investigate the dependence of galaxy clustering at z ∼ 4–7 on UV luminosity and stellar mass. Our sample consists of ∼10 000 Lyman-break galaxies in the eXtreme Deep Field (XDF) and Cosmic Assembly Near-infrared Deep Extragalatic Legacy Survey (CANDELS) fields. As part of our analysis, the M ⋆ –M UV relation is estimated for the sample, which is found to have a nearly linear slope of dlog10 M ⋆ /d M UV ∼ 0.44. We subsequently measure the angular correlation function and bias in different stellar mass and luminosity bins. We focus on comparing the clustering dependence on these two properties. While UV luminosity is only related to recent starbursts of a galaxy, stellar mass reflects the integrated build-up of the whole star formation history, which should make it more tightly correlated with halo mass. Hence, the clustering segregation with stellar mass is expected to be larger than with luminosity. However, our measurements suggest that the segregation with luminosity is larger with ${\simeq } 90{{\ \rm per\ cent}}$ confidence (neglecting contributions from systematic errors). We compare this unexpected result with predictions from the Meraxes semi-analytic galaxy formation model. Interestingly, the model reproduces the observed angular correlation functions and also suggests stronger clustering segregation with luminosity. The comparison between our observations and the model provides evidence of multiple halo occupation in the small-scale clustering.