ECOSMOG: an Efficient COde for Simulating MOdified Gravity
By Baojiu Li, Gong-Bo Zhao, Romain Teyssier, K. Koyama. 2011
208 citations recorded by the source corpus.
We introduce a new code, ECOSMOG, to run N-body simulations for a wide class of modified gravity and dynamical dark energy theories. These theories generally have one or more new dynamical degrees of freedom, the dynamics of which are governed by their (usually rather nonlinear) equations of motion. Solving these non-linear equations has been a great challenge in cosmology. Our code is based on the RAMSES code, which solves the Poisson equation on adaptively refined meshes to gain high resolutions in the high-density regions. We have added a solver for the extra degree(s) of freedom and performed numerous tests for the f(R) gravity model as an example to show its reliability. We find that much higher efficiency could be achieved compared with other existing mesh/grid-based codes thanks to two new features of the present code: (1) the efficient parallelisation and (2) the usage of the multigrid relaxation to solve the extra equation(s) on both the regular domain grid and refinements, giving much faster convergence even under much more stringent convergence criteria. This code is designed for performing high-accuracy, high-resolution and large-volume cosmological simulations for modified gravity and general dark energy theories, which can be utilised to test gravity and the dark energy hypothesis using the upcoming and future deep and high-resolution galaxy surveys.
Subfields: Astronomy and Astrophysics, Instrumentation
View Paper: https://www.semanticscholar.org/paper/8c4df90184187ba6d12721b826e45ddb44947f62
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Astronomy and Astrophysics
- K. Koyama
- H. Hoekstra
- S. Tsujikawa
- Lavinia Heisenberg
- Catherine Heymans
- Volker Springel
- Simon D. M. White
- Pedro G. Ferreira
In Instrumentation
- Catherine Heymans
- H. Hoekstra
- Volker Springel
- Simon D. M. White
- E. Puchwein
- A. Mead
- Thomas D. Kitching
- Y. Mellier
Citations in the corpus
- Cosmology and Fundamental Physics with the Euclid Satellite (2012, methodology): “Presently, three main parallel codes for modified gravity models have been developed by independent groups, based on different underlying N-body numerical schemes and procedures, namely the ECOSMOG [756], the MG-GADGET [985], and the ISIS [782] codes.”
- Cosmological tests of modified gravity (2015, methodology): “Particularly, ECOSMOG [284], ISIS [291] and MG-GADET [296] solve a non-linear scalar field equation on a mesh in N-body simulations using the adaptive mesh technique (see [299] for a comparison between these codes).”
- gevolution: a cosmological N-body code based on General Relativity (2016, methodology): “Despite these subtleties, models beyond ΛCDM have been studied with simulation codes using some modified Newtonian approaches [14–17].”
- Accurate halo-model matter power spectra with dark energy, massive neutrinos and modified gravitational forces (2016, background): “Determining when this condition is satisfied in a cosmological context can be achieved using simulations (Oyaizu 2008; Zhao et al. 2011; Li et al. 2012; Puchwein et al. 2013; Llinares et al. 2014; summarized by Winther et al. 2015) or via direct calculations in idealized situations with symmetry…”
- Modified Gravity-GADGET: A new code for cosmological hydrodynamical simulations of modified gravity models (2013, methodology): “Overall, it is very reassuring that the power spectrum enhancements obtained with mg-gadget are so strikingly similar to those found by Li et al. (2012b).”
- General relativity and cosmic structure formation (2015, background): “A number of numerical codes has been developed for particular models [11, 12, 13, 14], yet a general framework would be desirable.”
- Testing gravity using cosmic voids (2014, methodology): “Voids in modified gravity have previously been studied by Li et al. (2012) using N-body simulations, and by Martino & Shet (2009); Clampitt et al. (2013); Lam et al. (2014) using analytical methods.”