Towards an optimal marked correlation function analysis for the detection of modified gravity
Martin K\"archer, Julien Bel, Sylvain de la Torre

TL;DR
This paper develops and tests a novel marked correlation function method, incorporating environment-based marks and shot-noise correction, to effectively detect modified gravity signals in large-scale structure data.
Contribution
It introduces a new environment-based marking scheme and a robust shot-noise correction method, improving the detection of modified gravity signals in galaxy surveys.
Findings
Marked correlation functions can distinguish MG from GR with 3-5σ significance.
Anti-correlating objects in different density regions enhances MG detection.
Shot-noise correction is essential for unbiased measurement of the marked correlation function.
Abstract
Modified gravity (MG) theories have emerged as a promising alternative to explain the late-time acceleration of the Universe. However, the detection of MG in observations of the large-scale structure remains challenging due to the screening mechanisms that obscure any deviations from General Relativity (GR) in high-density regions. The marked two-point correlation function offers a promising approach to potentially detect MG signals. This work investigates novel marks based on large-scale environment estimates but also that exploit the anti-correlation between objects in low- and high-density regions. This is the first time discreteness effects in density-dependent marked correlation functions are investigated in depth. We assess the performance of various marks to distinguish GR from MG by using the ELEPHANT simulations, comprised of realisations of GR as well as and nDGP…
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