TY - JOUR
T1 - The MUSE-Wide survey
T2 - Three-dimensional clustering analysis of Lyman- α emitters at 3.3 < z < 6
AU - Herrero Alonso, Y.
AU - Krumpe, M.
AU - Wisotzki, L.
AU - Miyaji, T.
AU - Garel, T.
AU - Schmidt, K. B.
AU - Diener, C.
AU - Urrutia, T.
AU - Kerutt, J.
AU - Herenz, E. C.
AU - Schaye, J.
AU - Pezzulli, G.
AU - Maseda, M. V.
AU - Boogaard, L.
AU - Richard, J.
N1 - Funding Information:
Acknowledgements. The authors give thanks to the staff at ESO for extensive support during the visitor-mode campaigns at Paranal Observatory. We thank the eScience group at AIP for help with the functionality of the MUSE-Wide data release webpage. M.K. acknowledges support by DLR grant 50OR1904 and DFG grant KR 3338/4-1. L.W. and T.U. acknowledge funding by the Competitive Fund of the Leibniz Association through grants SAW-2013-AIP-4 and SAW-2015-AIP-2. T.M. thanks for financial support by CONACyT Grant Cien-tífica Básica #252531 and by UNAM-DGAPA (PASPA and PAPIIT IN111319). T.G. is supported by the ERC Starting Grant 757258 “TRIPLE”. The data were obtained with the European Southern Observatory Very Large Telescope, Paranal, Chile, under Large Program 185.A-0791. This research made use of Astropy, a community-developed core Python package for Astronomy (Astropy Collaboration 2013). We also thank the referee for an useful and constructive report.
Publisher Copyright:
© 2021 ESO.
PY - 2021/9/1
Y1 - 2021/9/1
N2 - We present an analysis of the spatial clustering of 695 Lyα-emitting galaxies (LAEs) in the MUSE-Wide survey. All objects have spectroscopically confirmed redshifts in the range 3.3 < z < 6. We employed the K-estimator, an alternative clustering statistic, adapted and optimized for our sample. We also explore the standard two-point correlation function approach, which is however less suited for a pencil-beam survey such as ours. The results from both approaches are consistent. We parametrize the clustering properties in two ways, (i) following the standard approach of modelling the clustering signal with a power law (PL), and (ii) adopting a halo occupation distribution (HOD) model of the two-halo term. Using the K-estimator and applying HOD modelling, we infer a large-scale bias of bHOD = 2.80-0.38+0.38 at a median redshift of the number of galaxy pairs zpair» 3.82, while the best-fit power-law analysis gives bPL = 3.03-0.52+1.51 (r0 = 3.60-0.90+3.10 comoving h-1 Mpc and γ = 1.30-0.45+0.36). The implied typical dark matter halo (DMH) mass is log(MDMH/[h-1 M· ]) = 11.34-0.27+0.23 (adopting b = bHOD and assuming σ8 = 0.8). We study possible dependencies of the clustering signal on object properties by bisecting the sample into disjoint subsets, considering Lyα luminosity, UV absolute magnitude, Lyα equivalent width, and redshift as variables. We find no evidence for a strong dependence on the latter three variables but detect a suggestive trend of more luminous Lyα emitters clustering more strongly (thus residing in more massive DMHs) than their lower Lyα luminosity counterparts. We also compare our results to mock LAE catalogs based on a semi-analytic model of galaxy formation and find a stronger clustering signal than in our observed sample, driven by spikes in the simulated z-distributions. By adopting a galaxy-conserving model we estimate that the Lyα-bright galaxies in the MUSE-Wide survey will typically evolve into galaxies hosted by halos of log(MDMH/[h-1  M· ]) ≈ 13.5 at redshift zero, suggesting that we observe the ancestors of present-day galaxy groups.
AB - We present an analysis of the spatial clustering of 695 Lyα-emitting galaxies (LAEs) in the MUSE-Wide survey. All objects have spectroscopically confirmed redshifts in the range 3.3 < z < 6. We employed the K-estimator, an alternative clustering statistic, adapted and optimized for our sample. We also explore the standard two-point correlation function approach, which is however less suited for a pencil-beam survey such as ours. The results from both approaches are consistent. We parametrize the clustering properties in two ways, (i) following the standard approach of modelling the clustering signal with a power law (PL), and (ii) adopting a halo occupation distribution (HOD) model of the two-halo term. Using the K-estimator and applying HOD modelling, we infer a large-scale bias of bHOD = 2.80-0.38+0.38 at a median redshift of the number of galaxy pairs zpair» 3.82, while the best-fit power-law analysis gives bPL = 3.03-0.52+1.51 (r0 = 3.60-0.90+3.10 comoving h-1 Mpc and γ = 1.30-0.45+0.36). The implied typical dark matter halo (DMH) mass is log(MDMH/[h-1 M· ]) = 11.34-0.27+0.23 (adopting b = bHOD and assuming σ8 = 0.8). We study possible dependencies of the clustering signal on object properties by bisecting the sample into disjoint subsets, considering Lyα luminosity, UV absolute magnitude, Lyα equivalent width, and redshift as variables. We find no evidence for a strong dependence on the latter three variables but detect a suggestive trend of more luminous Lyα emitters clustering more strongly (thus residing in more massive DMHs) than their lower Lyα luminosity counterparts. We also compare our results to mock LAE catalogs based on a semi-analytic model of galaxy formation and find a stronger clustering signal than in our observed sample, driven by spikes in the simulated z-distributions. By adopting a galaxy-conserving model we estimate that the Lyα-bright galaxies in the MUSE-Wide survey will typically evolve into galaxies hosted by halos of log(MDMH/[h-1  M· ]) ≈ 13.5 at redshift zero, suggesting that we observe the ancestors of present-day galaxy groups.
KW - Cosmology: observations
KW - Galaxies: evolution
KW - Galaxies: high-redshift
KW - Large-scale structure of Universe
UR - http://www.scopus.com/inward/record.url?scp=85115926753&partnerID=8YFLogxK
U2 - 10.1051/0004-6361/202141226
DO - 10.1051/0004-6361/202141226
M3 - Review article
AN - SCOPUS:85115926753
SN - 0004-6361
VL - 653
JO - Astronomy & astrophysics
JF - Astronomy & astrophysics
M1 - A136
ER -