Lensing convergence in galaxy clustering in LambdaCDM and beyond
  We study the impact of neglecting lensing magnification in galaxy clustering
analyses for future galaxy surveys, considering the LambdaCDM model and two
extensions: massive neutrinos and modifications of General Relativity. Our
study focuses on the biases on the constraints and on the estimation of the
cosmological parameters. We perform a comprehensive investigation of these two
effects for the upcoming photometric and spectroscopic galaxy surveys Euclid
and SKA for different redshift binning configurations. We also provide a
fitting formula for the magnification bias of SKA. Our results show that the
information present in the lensing contribution does improve the constraints on
the modified gravity parameters whereas the lensing constraining power is
negligible for the LambdaCDM parameters. For photometric surveys the estimation
is biased for all the parameters if lensing is not taken into account. This
effect is particularly significant for the modified gravity parameters.
Conversely for spectroscopic surveys the bias is below one sigma for all the
parameters. Our findings show the importance of including lensing in galaxy
clustering analyses for testing General Relativity and to constrain the
parameters which describe its modifications.
