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Testing modified gravity theories with marked statistics
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In the last two decades, Modified Gravity (MG) models have been proposed to explain the accelerated expansion of the Universe. However, one of the main difficulties these theories face is that they must reduce to General Relativity (GR) at sufficiently high energy densities, such as those found in the solar system. To achieve this, MG theories typically employ so-called screening mechanisms: nonlinear effects that bring them to GR at the appropriate limits. For this reason, low-energy regions where the screenings do not operate efficiently, such as cosmic voids, are identified as ideal laboratories for testing GR. Hence, the use of marked statistics that up-weight low energy densities have been proposed for being implemented with data from future galaxy surveys. In this proceeding note, we show how to construct theoretical templates for such statistics and test their accuracy with the use of N-body simulations.
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Cited by 2 Pith papers
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Probing Environmental Dependence of High-Redshift Galaxy Properties with the Marked Correlation Function
Using marked correlation functions, UV magnitude and color of z=3-5 Lyman-break galaxies show strong environmental correlations, while SFR and stellar mass show weak ones.
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Marked statistics across the cosmic web: Environmental dependent clustering in modified gravity simulations
In f(R) simulations, environment-split marked correlation functions show the strongest modified-gravity signal in filaments and nodes, but the claimed factor-of-four information gain depends on an undefined and statis...
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