Relative Clustering Ratios in Modified Gravity Cosmologies

Jorge Enrique Garcı́a-Farieta, Wojciech A. Hellwing, Suhani Gupta and Maciej Bilicki

We make use of large state-of-the-art N-body simulations to measure and model the two-point statistics of a variety of models, which include f(R) gravity and the normal branch of the Dvali-Gabadadze-Porrati (nDGP) braneworld. We find that the statistical significance of these signals largely diminishes due to a strong degeneracy between MG-enhanced clustering and modified tracer bias; therefore, we consider the relative clustering ratios as a less bias-dependent statistic. The clustering ratios foster the differences between modified gravity and GR models, and such departures could be measured for the linear distortion parameter if non-linear effects at intermediate scales are correctly modeled. We also find that the selection of an optimal tracer sample depends on a particular statistic and gravity model to be considered. Finally, our results indicate that the clustering ratios give great promise to search for signatures of MG in the large-scale structure.

Proceedings of the Polish Astronomical Society, vol. 12, 120-126 (2022)

Download full article as PDF file: