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Effective Dark Matter Halo Catalog in f(R) Gravity.
Jian-Hua He1, Adam J Hawken1, Baojiu Li2
1INAF-Observatorio Astronomico, di Brera, Via Emilio Bianchi, 46, I-23807 Merate (LC), Italy.
We introduce an effective dark matter halo catalog for f(R) gravity. This catalog mimics the standard Lambda Cold Dark Matter (ΛCDM) model, simplifying studies of galaxy formation in modified gravity theories.
Area of Science:
- Cosmology
- Astrophysics
- Modified Gravity
Background:
- The standard cosmological model, Lambda Cold Dark Matter (ΛCDM), successfully explains large-scale structures.
- f(R) gravity offers an alternative to dark energy, modifying gravitational effects on cosmic structure formation.
- Directly simulating f(R) gravity is computationally intensive, posing challenges for studying galaxy formation within these models.
Purpose of the Study:
- To develop an effective dark matter halo catalog for f(R) gravity.
- To compare the dynamical properties of halos in f(R) gravity with those in ΛCDM.
- To provide a simplified tool for studying galaxy formation and baryonic physics in f(R) cosmologies.
Main Methods:
- Utilizing a suite of high-resolution N-body simulations.
- Constructing an effective dark matter halo catalog based on the effective density field in f(R) gravity.
- Analyzing dynamical properties including density distribution, velocity dispersion, specific angular momentum, and spin.
Main Results:
- The dynamical properties of halos in the effective f(R) gravity catalog closely mimic those in the ΛCDM model.
- f(R) gravity cosmologies can be effectively represented as ΛCDM models when using the effective halo catalog.
- The effective catalog demonstrates strong similarities in halo density, velocity dispersion, and angular momentum distributions.
Conclusions:
- The effective dark matter halo catalog provides a computationally efficient method for studying f(R) gravity.
- This approach facilitates research into baryonic physics and galaxy formation within modified gravity scenarios.
- The effective catalog bridges the gap between complex f(R) simulations and established ΛCDM analysis techniques.
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