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Galaxy clustering dependence on the [O II] emission line luminosity in the local Universe.

Authors :
Favole, Ginevra
Rodríguez-Torres, Sergio A.
Comparat, Johan
Prada, Francisco
Hong Guo
Klypin, Anatoly
Montero-Dorta, Antonio D.
Source :
Monthly Notices of the Royal Astronomical Society; Nov2017, Vol. 472 Issue 1, p550-558, 9p
Publication Year :
2017

Abstract

We study the galaxy clustering dependence on the [O II] emission line luminosity in the SDSS DR7 Main galaxy sample at mean redshift z ∼ 0.1. We select volume-limited samples of galaxies with different [O II] luminosity thresholds and measure their projected, monopole and quadrupole two-point correlation functions. We model these observations using the 1 h<superscript>-1</superscript> Gpc Multi Dark-Planck cosmological simulation and generate light cones with the SUrvey Gener A to R algorithm. To interpret our results, we adopt a modified (Sub)Halo Abundance Matching scheme, accounting for the stellar mass incompleteness of the emission line galaxies. The satellite fraction constitutes an extra parameter in this model and allows to optimize the clustering fit on both small and intermediate scales (i.e. r<subscript>p</subscript> ≲ 30 h<superscript>-1</superscript> Mpc), with no need of any velocity bias correction. We find that, in the local Universe, the [O II] luminosity correlateswith all the clustering statistics explored and with the galaxy bias. This latter quantity correlates more strongly with the SDSS r-band magnitude than [O II] luminosity. In conclusion, we propose a straightforward method to produce reliable clustering models, entirely built on the simulation products, which provides robust predictions of the typical ELG host halo masses and satellite fraction values. The SDSS galaxy data, MultiDark mock catalogues and clustering results are made publicly available. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00358711
Volume :
472
Issue :
1
Database :
Complementary Index
Journal :
Monthly Notices of the Royal Astronomical Society
Publication Type :
Academic Journal
Accession number :
125873675
Full Text :
https://doi.org/10.1093/mnras/stx1980