Testing one-loop galaxy bias: Cosmological constraints from the power spectrum
A Pezzotta, M. Crocce, Alexander Eggemeier, Ariel G. Sánchez, Román Scoccimarro
Abstract
This is the third paper in an extended study (see Phys. Rev. D 102, 103530 and Phys. Rev. D 103, 123550) of the impact of galaxy bias modeling on the extraction of cosmological parameters from the large scale structure. Galaxy bias describes the possibility that galaxies do not faithfully trace the distribution of mass in the Universe and the modeling of this relationship. The authors comprehensively study the goodness and range of validity of different bias models that go beyond the leading order by testing them against different simulated galaxy samples that have the clustering properties of several real galaxy data catalogs. This is an important contribution to a decisive aspect of future observational large scale structure programs.