EFTCAMB
Reference documentation for version 3.0
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This folder contains the EFTCAMB code.
Compiling EFTCAMB requires a modern fortran compiler capable of handeling F2008 features. These includes:
ifort v>15.0 (?) gcc/gfortran v>6.0
To use other parts of the code, like the test or documentation parts other requirements have to be met. These include a fully fledged python installation. We warmly suggest to install a bundled package like (https://www.continuum.io/downloads).
A docker with all the required libraries is available at dockerhub.
We provide a set of notes that contain all the details and formulas of the EFTCAMB implementation:
The EFTCAMB source files documentation is automatically built at any modification of the code and can be found at this link.
If you use the EFTCAMB/EFTCosmoMC package, please refer the original CAMB/ CosmoMC paper and ours:
This is the usual, fair way of giving credit to contributors to a scientific result. In addition, it helps us justify our effort in developing the EFTCAMB code as an academic undertaking.
EFTCAMB is a modification of the CAMB code. The code part of CAMB that is not modified is copyrighted by the CAMB authors and released under their licence.
For the part of code that constitutes EFTCAMB see the LICENSE file in eftcamb/LICENSE
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In the folder eftcamb
all the source files for EFTCAMB are stored. In an effort to have small and readable files the the naming convention allows to have an intuition of the hierarchy of the code from alphabetical order of files.
For this reason we use the following convention for the prefixes:
01_
compile time utilities02_
pure algorithms03_
EFTCAMB cache containing the storage for all cosmological quantities of interest04_
general parametrizations for 1D functions05_
general parametrizations for 2D functions06_
abstract implementation of EFT models07_
implementation of pure EFT models08_
implementation of alternative EFT parametrizations09_
implementation of designer mapping EFT models10_
implementation of full mapping EFT models11_
general EFT algorithms (RGR, stability, init)