Published August 1, 2017
| Version v1
Journal article
COLA with scale-dependent growth: applications to screened modified gravity models
- 1. Institute of Cosmology and Gravitation, University of Portsmouth, Dennis Sciama Building, Burnaby Road, Portsmouth, PO1 3FX (United Kingdom)
- 2. Centre for Theoretical Cosmology, Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA (United Kingdom)
- 3. National Astronomy Observatories, Chinese Academy of Science, Beijing, 100012 (China)
Description
We present a general parallelized and easy-to-use code to perform numerical simulations of structure formation using the COLA (COmoving Lagrangian Acceleration) method for cosmological models that exhibit scale-dependent growth at the level of first and second order Lagrangian perturbation theory. For modified gravity theories we also include screening using a fast approximate method that covers all the main examples of screening mechanisms in the literature. We test the code by comparing it to full simulations of two popular modified gravity models, namely f ( R ) gravity and nDGP, and find good agreement in the modified gravity boost-factors relative to ΛCDM even when using a fairly small number of COLA time steps.
Availability note (English)
Available from http://dx.doi.org/10.1088/1475-7516/2017/08/006Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Cosmology and Astroparticle Physics
- Journal Volume
- 2017
- Journal Issue
- 08
- Journal Page Range
- p. 006
- ISSN
- 1475-7516
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 49022847
- Subject category
- S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
- Descriptors DEI
- ACCELERATION; APPROXIMATIONS; COMPARATIVE EVALUATIONS; COMPUTERIZED SIMULATION; COSMOLOGICAL MODELS; DISTURBANCES; GRAVITATION; LAGRANGIAN FUNCTION; PERTURBATION THEORY; SCREENING
- Descriptors DEC
- CALCULATION METHODS; EVALUATION; FUNCTIONS; MATHEMATICAL MODELS; SIMULATION