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Clustering properties of g-selected galaxies at z ~ 0.8.

Authors :
Favole, Ginevra
Comparat, Johan
Prada, Francisco
Yepes, Gustavo
Jullo, Eric
Niemiec, Anna
Kneib, Jean-Paul
Rodríguez-Torres, Sergio A.
Klypin, Anatoly
Skibba, Ramin A.
McBride, Cameron K.
Eisenstein, Daniel J.
Schlegel, David J.
Nuza, Sebastián E.
Chia-Hsun Chuang
Delubac, Timothée
Yèche, Christophe
Schneider, Donald P.
Source :
Monthly Notices of the Royal Astronomical Society. 10/1/2016, Vol. 461 Issue 4, p3421-3431. 11p.
Publication Year :
2016

Abstract

Current and future large redshift surveys, as the Sloan Digital Sky Survey IV extended Baryon Oscillation Spectroscopic Survey (SDSS-IV/eBOSS) or the Dark Energy Spectroscopic Instrument (DESI), will use emission-line galaxies (ELGs) to probe cosmological models by mapping the large-scale structure of the Universe in the redshift range 0.6 < z < 1.7. With current data, we explore the halo-galaxy connection by measuring three clustering properties of g-selected ELGs as matter tracers in the redshift range 0.6 < z < 1: (i) the redshift-space two-point correlation function using spectroscopic redshifts from the BOSS ELG sample and VIPERS; (ii) the angular two-point correlation function on the footprint of the CFHT-LS; (iii) the galaxy-galaxy lensing signal around the ELGs using the CFHTLenS. We interpret these observations by mapping them on to the latest high-resolution MultiDark Planck N-body simulation, using a novel (Sub)Halo-Abundance Matching technique that accounts for the ELG incompleteness. ELGs at z ~ 0.8 live in haloes of (1 ± 0.5) × 1012 h-1M☉ and 22.5 ± 2.5 per cent of them are satellites belonging to a larger halo. The halo occupation distribution of ELGs indicates that we are sampling the galaxies in which stars form in the most efficient way, according to their stellar-to-halo mass ratio. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00358711
Volume :
461
Issue :
4
Database :
Academic Search Index
Journal :
Monthly Notices of the Royal Astronomical Society
Publication Type :
Academic Journal
Accession number :
117749116
Full Text :
https://doi.org/10.1093/mnras/stw1483