Stochastic bias of colour-selected BAO tracers by joint clustering-weak lensing analysis
Johan Comparat, Eric Jullo, Jean-Paul Kneib, Carlo Schimd, HuanYuan, Shan, Thomas Erben, Olivier Ilbert, Joel Brownstein, A. Ealet, S. Escoffier,, Bruno Moraes, Nick Mostek, Jeffrey A. Newman, M. E. S. Pereira, Francisco, Prada, David J. Schlegel, Donald P. Schneider

TL;DR
This study investigates the bias introduced by colour-selected emission-line galaxy tracers in BAO measurements, combining clustering and weak lensing analyses to improve understanding of galaxy bias at various redshifts.
Contribution
It presents a joint clustering-weak lensing analysis of galaxy samples across multiple redshifts, providing new insights into galaxy bias and its impact on BAO studies.
Findings
Galaxy bias increases with redshift and brightness.
Weak lensing results are consistent with clustering-based bias estimates.
High bias tracers can enhance BAO detection significance.
Abstract
The baryon acoustic oscillation (BAO) feature in the two-point correlation function of galaxies supplies a standard ruler to probe the expansion history of the Universe. We study here several galaxy selection schemes, aiming at building an emission-line galaxy (ELG) sample in the redshift range , that would be suitable for future BAO studies, providing a highly biased galaxy sample. We analyse the angular galaxy clustering of galaxy selections at the redshifts 0.5, 0.7, 0.8, 1 and 1.2 and we combine this analysis with a halo occupation distribution (HOD) model to derive the properties of the haloes these galaxies inhabit, in particular the galaxy bias on large scales. We also perform a weak lensing analysis (aperture statistics) to extract the galaxy bias and the cross-correlation coefficient and compare to the HOD prediction. We apply this analysis on a data set composed…
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